diff --git a/release/_preview_committed/kaggle.html b/release/_preview_committed/kaggle.html
index 9779e33..6da8f13 100644
--- a/release/_preview_committed/kaggle.html
+++ b/release/_preview_committed/kaggle.html
@@ -136,7 +136,7 @@
 <body>
 <main class="container">
 <header class="dataset-header">
-  <div class="dataset-header__id">leadforge/leadforge-lead-scoring-v1</div>
+  <div class="dataset-header__id">derelictpanda/leadforge-lead-scoring-v1</div>
   <h1 class="dataset-header__title">LeadForge: Synthetic B2B Lead Scoring (v1)</h1>
   <p class="dataset-header__subtitle">Three-tier synthetic CRM funnel for leakage-aware lead scoring</p>
   <ul class="dataset-header__pills">
@@ -150,7 +150,8 @@ <h1 class="dataset-header__title">LeadForge: Synthetic B2B Lead Scoring (v1)</h1
 <section class="description">
 <h1>LeadForge: Synthetic B2B Lead Scoring Dataset (<code>leadforge-lead-scoring-v1</code>)</h1>
 <p>A relational, reproducible, three-tier synthetic CRM dataset family for
-teaching lead scoring at scale. Generated by
+teaching lead scoring at scale. Created by
+<a href="https://www.shaypalachy.com/">Shay Palachy Affek</a> and generated by
 <a href="https://github.com/leadforge-dev/leadforge">leadforge</a>, an
 open-source Python framework for synthetic CRM/funnel data. The
 framework version is decoupled from the dataset version: the package
@@ -158,16 +159,14 @@ <h1>LeadForge: Synthetic B2B Lead Scoring Dataset (<code>leadforge-lead-scoring-
 tag.</p>
 <h2>Why lead scoring matters in 2024–2026</h2>
 <p>Mid-market SaaS vendors entered 2024–2026 with growth slowing and
-customer-acquisition costs rising[^macro], so predicting <em>which</em> leads
-convert within a fixed window has moved from a marketing nicety to a
-survival skill. This dataset teaches that skill on a relational
-substrate, with the realistic confusions (snapshot-window discipline,
-leakage traps, channel signal weaker than vendor blogs imply) that
-students will hit when they finally get hands on real CRM data.</p>
-<p>[^macro]: Macroeconomic framing summarised in
-<a href="https://github.com/leadforge-dev/leadforge/blob/main/docs/external_review/summaries/gemini_v2_summary.md"><code>docs/external_review/summaries/gemini_v2_summary.md</code></a>
-(median public-SaaS growth 30%→25% from 2023 to 2025; New CAC Ratio
-rose materially in 2024).</p>
+customer-acquisition costs rising (median public-SaaS growth 30%→25%
+from 2023 to 2025; New CAC Ratio rose materially in 2024), so
+predicting <em>which</em> leads convert within a fixed window has moved from
+a marketing nicety to a survival skill. This dataset teaches that
+skill on a relational substrate, with the realistic confusions
+(snapshot-window discipline, leakage traps, channel signal weaker than
+vendor blogs imply) that students will hit when they finally get hands
+on real CRM data.</p>
 <h2>What's inside</h2>
 <pre><code>.
 ├── intro/ intermediate/ advanced/    # student_public bundles, one per difficulty tier
@@ -585,6 +584,10 @@ <h2>Maintenance, adversarial framing, license</h2>
 </table>
 <p>Verify integrity with <code>leadforge validate &lt;bundle_dir&gt;</code>; every file
 is hashed in <code>manifest.json</code>.</p>
+<h2>Credits</h2>
+<p>Created by <a href="https://www.shaypalachy.com/">Shay Palachy Affek</a>.
+Dataset generated with <a href="https://github.com/leadforge-dev/leadforge">leadforge</a> (MIT).
+Profiles: <a href="https://huggingface.co/shaypal5">HuggingFace</a> · <a href="https://www.kaggle.com/derelictpanda">Kaggle</a> · <a href="https://github.com/shaypalachy">GitHub</a></p>
 </section>
 <section class="files">
   <h2 class="section__heading">Data Files <span class="section__count">(57 total)</span></h2>
@@ -718,37 +721,37 @@ <h2 class="section__heading">Schema / Columns <span class="section__count">(522
     <table class="schema__table">
       <thead><tr><th>Column</th><th>Type</th><th>Description</th></tr></thead>
       <tbody>
-      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
+      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque account identifier.</td></tr>
+      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc">Industry vertical of the buying organization.</td></tr>
+      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc">Geographic region of the account&#39;s headquarters.</td></tr>
+      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc">Banded employee headcount of the account.</td></tr>
+      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc">Banded estimated annual revenue of the account.</td></tr>
+      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc">Banded internal process maturity score (latent).</td></tr>
+      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque contact identifier.</td></tr>
+      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc">Functional area of the primary contact (e.g. finance, ops).</td></tr>
+      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc">Seniority band of the primary contact.</td></tr>
+      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc">Buyer role classification (economic_buyer, champion, etc.).</td></tr>
+      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque lead identifier.</td></tr>
+      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc">ISO-8601 timestamp when the lead was created.</td></tr>
+      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc">Origination source of the lead (e.g. inbound_form, sdr_outbound).</td></tr>
+      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc">Total number of marketing/sales touches recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of inbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of outbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc">Number of web/trial sessions recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative pricing page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative demo page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc">Sum of session durations (seconds) before snapshot.</td></tr>
+      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.</td></tr>
+      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in the last 7 days before snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc">Days between first touch and snapshot cutoff (NaN if no touches).</td></tr>
+      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc">Number of sales activities logged before snapshot.</td></tr>
+      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc">Days elapsed between most recent touch and snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc">Whether any opportunity was created by snapshot date (open or closed).</td></tr>
+      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc">Whether an open opportunity existed at snapshot date.</td></tr>
+      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc">Estimated ACV of the most recent open opportunity (NaN if none).</td></tr>
+      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc">Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).</td></tr>
+      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc">Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.</td></tr>
+      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc">Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.</td></tr>
       </tbody>
     </table>
   </details>
@@ -757,37 +760,37 @@ <h2 class="section__heading">Schema / Columns <span class="section__count">(522
     <table class="schema__table">
       <thead><tr><th>Column</th><th>Type</th><th>Description</th></tr></thead>
       <tbody>
-      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
+      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque account identifier.</td></tr>
+      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc">Industry vertical of the buying organization.</td></tr>
+      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc">Geographic region of the account&#39;s headquarters.</td></tr>
+      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc">Banded employee headcount of the account.</td></tr>
+      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc">Banded estimated annual revenue of the account.</td></tr>
+      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc">Banded internal process maturity score (latent).</td></tr>
+      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque contact identifier.</td></tr>
+      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc">Functional area of the primary contact (e.g. finance, ops).</td></tr>
+      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc">Seniority band of the primary contact.</td></tr>
+      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc">Buyer role classification (economic_buyer, champion, etc.).</td></tr>
+      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque lead identifier.</td></tr>
+      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc">ISO-8601 timestamp when the lead was created.</td></tr>
+      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc">Origination source of the lead (e.g. inbound_form, sdr_outbound).</td></tr>
+      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc">Total number of marketing/sales touches recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of inbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of outbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc">Number of web/trial sessions recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative pricing page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative demo page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc">Sum of session durations (seconds) before snapshot.</td></tr>
+      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.</td></tr>
+      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in the last 7 days before snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc">Days between first touch and snapshot cutoff (NaN if no touches).</td></tr>
+      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc">Number of sales activities logged before snapshot.</td></tr>
+      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc">Days elapsed between most recent touch and snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc">Whether any opportunity was created by snapshot date (open or closed).</td></tr>
+      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc">Whether an open opportunity existed at snapshot date.</td></tr>
+      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc">Estimated ACV of the most recent open opportunity (NaN if none).</td></tr>
+      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc">Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).</td></tr>
+      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc">Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.</td></tr>
+      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc">Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.</td></tr>
       </tbody>
     </table>
   </details>
@@ -796,37 +799,37 @@ <h2 class="section__heading">Schema / Columns <span class="section__count">(522
     <table class="schema__table">
       <thead><tr><th>Column</th><th>Type</th><th>Description</th></tr></thead>
       <tbody>
-      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
+      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque account identifier.</td></tr>
+      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc">Industry vertical of the buying organization.</td></tr>
+      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc">Geographic region of the account&#39;s headquarters.</td></tr>
+      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc">Banded employee headcount of the account.</td></tr>
+      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc">Banded estimated annual revenue of the account.</td></tr>
+      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc">Banded internal process maturity score (latent).</td></tr>
+      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque contact identifier.</td></tr>
+      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc">Functional area of the primary contact (e.g. finance, ops).</td></tr>
+      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc">Seniority band of the primary contact.</td></tr>
+      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc">Buyer role classification (economic_buyer, champion, etc.).</td></tr>
+      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque lead identifier.</td></tr>
+      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc">ISO-8601 timestamp when the lead was created.</td></tr>
+      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc">Origination source of the lead (e.g. inbound_form, sdr_outbound).</td></tr>
+      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc">Total number of marketing/sales touches recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of inbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of outbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc">Number of web/trial sessions recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative pricing page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative demo page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc">Sum of session durations (seconds) before snapshot.</td></tr>
+      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.</td></tr>
+      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in the last 7 days before snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc">Days between first touch and snapshot cutoff (NaN if no touches).</td></tr>
+      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc">Number of sales activities logged before snapshot.</td></tr>
+      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc">Days elapsed between most recent touch and snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc">Whether any opportunity was created by snapshot date (open or closed).</td></tr>
+      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc">Whether an open opportunity existed at snapshot date.</td></tr>
+      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc">Estimated ACV of the most recent open opportunity (NaN if none).</td></tr>
+      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc">Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).</td></tr>
+      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc">Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.</td></tr>
+      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc">Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.</td></tr>
       </tbody>
     </table>
   </details>
@@ -980,37 +983,37 @@ <h2 class="section__heading">Schema / Columns <span class="section__count">(522
     <table class="schema__table">
       <thead><tr><th>Column</th><th>Type</th><th>Description</th></tr></thead>
       <tbody>
-      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
+      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque account identifier.</td></tr>
+      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc">Industry vertical of the buying organization.</td></tr>
+      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc">Geographic region of the account&#39;s headquarters.</td></tr>
+      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc">Banded employee headcount of the account.</td></tr>
+      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc">Banded estimated annual revenue of the account.</td></tr>
+      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc">Banded internal process maturity score (latent).</td></tr>
+      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque contact identifier.</td></tr>
+      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc">Functional area of the primary contact (e.g. finance, ops).</td></tr>
+      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc">Seniority band of the primary contact.</td></tr>
+      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc">Buyer role classification (economic_buyer, champion, etc.).</td></tr>
+      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque lead identifier.</td></tr>
+      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc">ISO-8601 timestamp when the lead was created.</td></tr>
+      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc">Origination source of the lead (e.g. inbound_form, sdr_outbound).</td></tr>
+      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc">Total number of marketing/sales touches recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of inbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of outbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc">Number of web/trial sessions recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative pricing page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative demo page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc">Sum of session durations (seconds) before snapshot.</td></tr>
+      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.</td></tr>
+      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in the last 7 days before snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc">Days between first touch and snapshot cutoff (NaN if no touches).</td></tr>
+      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc">Number of sales activities logged before snapshot.</td></tr>
+      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc">Days elapsed between most recent touch and snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc">Whether any opportunity was created by snapshot date (open or closed).</td></tr>
+      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc">Whether an open opportunity existed at snapshot date.</td></tr>
+      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc">Estimated ACV of the most recent open opportunity (NaN if none).</td></tr>
+      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc">Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).</td></tr>
+      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc">Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.</td></tr>
+      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc">Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.</td></tr>
       </tbody>
     </table>
   </details>
@@ -1019,37 +1022,37 @@ <h2 class="section__heading">Schema / Columns <span class="section__count">(522
     <table class="schema__table">
       <thead><tr><th>Column</th><th>Type</th><th>Description</th></tr></thead>
       <tbody>
-      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
+      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque account identifier.</td></tr>
+      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc">Industry vertical of the buying organization.</td></tr>
+      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc">Geographic region of the account&#39;s headquarters.</td></tr>
+      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc">Banded employee headcount of the account.</td></tr>
+      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc">Banded estimated annual revenue of the account.</td></tr>
+      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc">Banded internal process maturity score (latent).</td></tr>
+      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque contact identifier.</td></tr>
+      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc">Functional area of the primary contact (e.g. finance, ops).</td></tr>
+      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc">Seniority band of the primary contact.</td></tr>
+      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc">Buyer role classification (economic_buyer, champion, etc.).</td></tr>
+      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque lead identifier.</td></tr>
+      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc">ISO-8601 timestamp when the lead was created.</td></tr>
+      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc">Origination source of the lead (e.g. inbound_form, sdr_outbound).</td></tr>
+      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc">Total number of marketing/sales touches recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of inbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of outbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc">Number of web/trial sessions recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative pricing page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative demo page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc">Sum of session durations (seconds) before snapshot.</td></tr>
+      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.</td></tr>
+      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in the last 7 days before snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc">Days between first touch and snapshot cutoff (NaN if no touches).</td></tr>
+      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc">Number of sales activities logged before snapshot.</td></tr>
+      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc">Days elapsed between most recent touch and snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc">Whether any opportunity was created by snapshot date (open or closed).</td></tr>
+      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc">Whether an open opportunity existed at snapshot date.</td></tr>
+      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc">Estimated ACV of the most recent open opportunity (NaN if none).</td></tr>
+      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc">Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).</td></tr>
+      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc">Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.</td></tr>
+      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc">Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.</td></tr>
       </tbody>
     </table>
   </details>
@@ -1058,37 +1061,37 @@ <h2 class="section__heading">Schema / Columns <span class="section__count">(522
     <table class="schema__table">
       <thead><tr><th>Column</th><th>Type</th><th>Description</th></tr></thead>
       <tbody>
-      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
+      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque account identifier.</td></tr>
+      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc">Industry vertical of the buying organization.</td></tr>
+      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc">Geographic region of the account&#39;s headquarters.</td></tr>
+      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc">Banded employee headcount of the account.</td></tr>
+      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc">Banded estimated annual revenue of the account.</td></tr>
+      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc">Banded internal process maturity score (latent).</td></tr>
+      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque contact identifier.</td></tr>
+      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc">Functional area of the primary contact (e.g. finance, ops).</td></tr>
+      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc">Seniority band of the primary contact.</td></tr>
+      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc">Buyer role classification (economic_buyer, champion, etc.).</td></tr>
+      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque lead identifier.</td></tr>
+      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc">ISO-8601 timestamp when the lead was created.</td></tr>
+      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc">Origination source of the lead (e.g. inbound_form, sdr_outbound).</td></tr>
+      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc">Total number of marketing/sales touches recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of inbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of outbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc">Number of web/trial sessions recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative pricing page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative demo page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc">Sum of session durations (seconds) before snapshot.</td></tr>
+      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.</td></tr>
+      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in the last 7 days before snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc">Days between first touch and snapshot cutoff (NaN if no touches).</td></tr>
+      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc">Number of sales activities logged before snapshot.</td></tr>
+      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc">Days elapsed between most recent touch and snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc">Whether any opportunity was created by snapshot date (open or closed).</td></tr>
+      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc">Whether an open opportunity existed at snapshot date.</td></tr>
+      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc">Estimated ACV of the most recent open opportunity (NaN if none).</td></tr>
+      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc">Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).</td></tr>
+      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc">Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.</td></tr>
+      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc">Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.</td></tr>
       </tbody>
     </table>
   </details>
@@ -1242,37 +1245,37 @@ <h2 class="section__heading">Schema / Columns <span class="section__count">(522
     <table class="schema__table">
       <thead><tr><th>Column</th><th>Type</th><th>Description</th></tr></thead>
       <tbody>
-      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
+      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque account identifier.</td></tr>
+      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc">Industry vertical of the buying organization.</td></tr>
+      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc">Geographic region of the account&#39;s headquarters.</td></tr>
+      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc">Banded employee headcount of the account.</td></tr>
+      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc">Banded estimated annual revenue of the account.</td></tr>
+      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc">Banded internal process maturity score (latent).</td></tr>
+      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque contact identifier.</td></tr>
+      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc">Functional area of the primary contact (e.g. finance, ops).</td></tr>
+      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc">Seniority band of the primary contact.</td></tr>
+      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc">Buyer role classification (economic_buyer, champion, etc.).</td></tr>
+      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque lead identifier.</td></tr>
+      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc">ISO-8601 timestamp when the lead was created.</td></tr>
+      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc">Origination source of the lead (e.g. inbound_form, sdr_outbound).</td></tr>
+      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc">Total number of marketing/sales touches recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of inbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of outbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc">Number of web/trial sessions recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative pricing page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative demo page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc">Sum of session durations (seconds) before snapshot.</td></tr>
+      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.</td></tr>
+      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in the last 7 days before snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc">Days between first touch and snapshot cutoff (NaN if no touches).</td></tr>
+      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc">Number of sales activities logged before snapshot.</td></tr>
+      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc">Days elapsed between most recent touch and snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc">Whether any opportunity was created by snapshot date (open or closed).</td></tr>
+      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc">Whether an open opportunity existed at snapshot date.</td></tr>
+      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc">Estimated ACV of the most recent open opportunity (NaN if none).</td></tr>
+      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc">Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).</td></tr>
+      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc">Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.</td></tr>
+      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc">Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.</td></tr>
       </tbody>
     </table>
   </details>
@@ -1281,37 +1284,37 @@ <h2 class="section__heading">Schema / Columns <span class="section__count">(522
     <table class="schema__table">
       <thead><tr><th>Column</th><th>Type</th><th>Description</th></tr></thead>
       <tbody>
-      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
+      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque account identifier.</td></tr>
+      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc">Industry vertical of the buying organization.</td></tr>
+      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc">Geographic region of the account&#39;s headquarters.</td></tr>
+      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc">Banded employee headcount of the account.</td></tr>
+      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc">Banded estimated annual revenue of the account.</td></tr>
+      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc">Banded internal process maturity score (latent).</td></tr>
+      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque contact identifier.</td></tr>
+      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc">Functional area of the primary contact (e.g. finance, ops).</td></tr>
+      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc">Seniority band of the primary contact.</td></tr>
+      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc">Buyer role classification (economic_buyer, champion, etc.).</td></tr>
+      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque lead identifier.</td></tr>
+      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc">ISO-8601 timestamp when the lead was created.</td></tr>
+      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc">Origination source of the lead (e.g. inbound_form, sdr_outbound).</td></tr>
+      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc">Total number of marketing/sales touches recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of inbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of outbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc">Number of web/trial sessions recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative pricing page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative demo page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc">Sum of session durations (seconds) before snapshot.</td></tr>
+      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.</td></tr>
+      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in the last 7 days before snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc">Days between first touch and snapshot cutoff (NaN if no touches).</td></tr>
+      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc">Number of sales activities logged before snapshot.</td></tr>
+      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc">Days elapsed between most recent touch and snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc">Whether any opportunity was created by snapshot date (open or closed).</td></tr>
+      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc">Whether an open opportunity existed at snapshot date.</td></tr>
+      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc">Estimated ACV of the most recent open opportunity (NaN if none).</td></tr>
+      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc">Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).</td></tr>
+      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc">Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.</td></tr>
+      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc">Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.</td></tr>
       </tbody>
     </table>
   </details>
@@ -1320,37 +1323,37 @@ <h2 class="section__heading">Schema / Columns <span class="section__count">(522
     <table class="schema__table">
       <thead><tr><th>Column</th><th>Type</th><th>Description</th></tr></thead>
       <tbody>
-      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc"></td></tr>
-      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc"></td></tr>
+      <tr><td class="col__name"><code>account_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque account identifier.</td></tr>
+      <tr><td class="col__name"><code>industry</code></td><td class="col__type">string</td><td class="col__desc">Industry vertical of the buying organization.</td></tr>
+      <tr><td class="col__name"><code>region</code></td><td class="col__type">string</td><td class="col__desc">Geographic region of the account&#39;s headquarters.</td></tr>
+      <tr><td class="col__name"><code>employee_band</code></td><td class="col__type">string</td><td class="col__desc">Banded employee headcount of the account.</td></tr>
+      <tr><td class="col__name"><code>estimated_revenue_band</code></td><td class="col__type">string</td><td class="col__desc">Banded estimated annual revenue of the account.</td></tr>
+      <tr><td class="col__name"><code>process_maturity_band</code></td><td class="col__type">string</td><td class="col__desc">Banded internal process maturity score (latent).</td></tr>
+      <tr><td class="col__name"><code>contact_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque contact identifier.</td></tr>
+      <tr><td class="col__name"><code>role_function</code></td><td class="col__type">string</td><td class="col__desc">Functional area of the primary contact (e.g. finance, ops).</td></tr>
+      <tr><td class="col__name"><code>seniority</code></td><td class="col__type">string</td><td class="col__desc">Seniority band of the primary contact.</td></tr>
+      <tr><td class="col__name"><code>buyer_role</code></td><td class="col__type">string</td><td class="col__desc">Buyer role classification (economic_buyer, champion, etc.).</td></tr>
+      <tr><td class="col__name"><code>lead_id</code></td><td class="col__type">string</td><td class="col__desc">Opaque lead identifier.</td></tr>
+      <tr><td class="col__name"><code>lead_created_at</code></td><td class="col__type">string</td><td class="col__desc">ISO-8601 timestamp when the lead was created.</td></tr>
+      <tr><td class="col__name"><code>lead_source</code></td><td class="col__type">string</td><td class="col__desc">Origination source of the lead (e.g. inbound_form, sdr_outbound).</td></tr>
+      <tr><td class="col__name"><code>touch_count</code></td><td class="col__type">number</td><td class="col__desc">Total number of marketing/sales touches recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>inbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of inbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>outbound_touch_count</code></td><td class="col__type">number</td><td class="col__desc">Number of outbound touches before snapshot.</td></tr>
+      <tr><td class="col__name"><code>session_count</code></td><td class="col__type">number</td><td class="col__desc">Number of web/trial sessions recorded before snapshot.</td></tr>
+      <tr><td class="col__name"><code>pricing_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative pricing page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>demo_page_views</code></td><td class="col__type">number</td><td class="col__desc">Cumulative demo page views across all sessions before snapshot.</td></tr>
+      <tr><td class="col__name"><code>total_session_duration_seconds</code></td><td class="col__type">number</td><td class="col__desc">Sum of session durations (seconds) before snapshot.</td></tr>
+      <tr><td class="col__name"><code>touches_days_0_7</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.</td></tr>
+      <tr><td class="col__name"><code>touches_last_7_days</code></td><td class="col__type">number</td><td class="col__desc">Number of touches in the last 7 days before snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>days_since_first_touch</code></td><td class="col__type">number</td><td class="col__desc">Days between first touch and snapshot cutoff (NaN if no touches).</td></tr>
+      <tr><td class="col__name"><code>activity_count</code></td><td class="col__type">number</td><td class="col__desc">Number of sales activities logged before snapshot.</td></tr>
+      <tr><td class="col__name"><code>days_since_last_touch</code></td><td class="col__type">number</td><td class="col__desc">Days elapsed between most recent touch and snapshot cutoff.</td></tr>
+      <tr><td class="col__name"><code>opportunity_created</code></td><td class="col__type">boolean</td><td class="col__desc">Whether any opportunity was created by snapshot date (open or closed).</td></tr>
+      <tr><td class="col__name"><code>has_open_opportunity</code></td><td class="col__type">boolean</td><td class="col__desc">Whether an open opportunity existed at snapshot date.</td></tr>
+      <tr><td class="col__name"><code>opportunity_estimated_acv</code></td><td class="col__type">number</td><td class="col__desc">Estimated ACV of the most recent open opportunity (NaN if none).</td></tr>
+      <tr><td class="col__name"><code>expected_acv</code></td><td class="col__type">number</td><td class="col__desc">Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).</td></tr>
+      <tr><td class="col__name"><code>total_touches_all</code></td><td class="col__type">integer</td><td class="col__desc">Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.</td></tr>
+      <tr><td class="col__name"><code>converted_within_90_days</code></td><td class="col__type">boolean</td><td class="col__desc">Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.</td></tr>
       </tbody>
     </table>
   </details>
diff --git a/release/dataset-cover-image.png b/release/dataset-cover-image.png
index 912bb43..ee27b77 100644
Binary files a/release/dataset-cover-image.png and b/release/dataset-cover-image.png differ
diff --git a/release/huggingface/README.md b/release/huggingface/README.md
index 8d54ff2..b5a8384 100644
--- a/release/huggingface/README.md
+++ b/release/huggingface/README.md
@@ -1,6 +1,8 @@
 ---
 pretty_name: 'LeadForge: Synthetic B2B Lead Scoring (v1)'
 license: mit
+authors:
+  - shaypal5
 language:
   - en
 task_categories:
diff --git a/release/kaggle/dataset-metadata.json b/release/kaggle/dataset-metadata.json
index 70731fc..10209bb 100644
--- a/release/kaggle/dataset-metadata.json
+++ b/release/kaggle/dataset-metadata.json
@@ -23,6 +23,7 @@
   "resources": [
     {
       "description": "Intro tier flat CSV (all splits concatenated, label retained, snapshot_day=30). The `split` column distinguishes train/valid/test rows.",
+      "name": "intro_lead_scoring",
       "path": "intro/lead_scoring.csv",
       "schema": {
         "fields": [
@@ -191,134 +192,167 @@
     },
     {
       "description": "Intro tier feature dictionary (canonical column spec).",
+      "name": "intro_feature_dictionary",
       "path": "intro/feature_dictionary.csv"
     },
     {
       "description": "Intro tier train split for `converted_within_90_days` (3,500 rows).",
+      "name": "intro_tasks_converted_within_90_days_train",
       "path": "intro/tasks/converted_within_90_days/train.parquet",
       "schema": {
         "fields": [
           {
+            "description": "Opaque account identifier.",
             "name": "account_id",
             "type": "string"
           },
           {
+            "description": "Industry vertical of the buying organization.",
             "name": "industry",
             "type": "string"
           },
           {
+            "description": "Geographic region of the account's headquarters.",
             "name": "region",
             "type": "string"
           },
           {
+            "description": "Banded employee headcount of the account.",
             "name": "employee_band",
             "type": "string"
           },
           {
+            "description": "Banded estimated annual revenue of the account.",
             "name": "estimated_revenue_band",
             "type": "string"
           },
           {
+            "description": "Banded internal process maturity score (latent).",
             "name": "process_maturity_band",
             "type": "string"
           },
           {
+            "description": "Opaque contact identifier.",
             "name": "contact_id",
             "type": "string"
           },
           {
+            "description": "Functional area of the primary contact (e.g. finance, ops).",
             "name": "role_function",
             "type": "string"
           },
           {
+            "description": "Seniority band of the primary contact.",
             "name": "seniority",
             "type": "string"
           },
           {
+            "description": "Buyer role classification (economic_buyer, champion, etc.).",
             "name": "buyer_role",
             "type": "string"
           },
           {
+            "description": "Opaque lead identifier.",
             "name": "lead_id",
             "type": "string"
           },
           {
+            "description": "ISO-8601 timestamp when the lead was created.",
             "name": "lead_created_at",
             "type": "string"
           },
           {
+            "description": "Origination source of the lead (e.g. inbound_form, sdr_outbound).",
             "name": "lead_source",
             "type": "string"
           },
           {
+            "description": "Total number of marketing/sales touches recorded before snapshot.",
             "name": "touch_count",
             "type": "number"
           },
           {
+            "description": "Number of inbound touches before snapshot.",
             "name": "inbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of outbound touches before snapshot.",
             "name": "outbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of web/trial sessions recorded before snapshot.",
             "name": "session_count",
             "type": "number"
           },
           {
+            "description": "Cumulative pricing page views across all sessions before snapshot.",
             "name": "pricing_page_views",
             "type": "number"
           },
           {
+            "description": "Cumulative demo page views across all sessions before snapshot.",
             "name": "demo_page_views",
             "type": "number"
           },
           {
+            "description": "Sum of session durations (seconds) before snapshot.",
             "name": "total_session_duration_seconds",
             "type": "number"
           },
           {
+            "description": "Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.",
             "name": "touches_days_0_7",
             "type": "number"
           },
           {
+            "description": "Number of touches in the last 7 days before snapshot cutoff.",
             "name": "touches_last_7_days",
             "type": "number"
           },
           {
+            "description": "Days between first touch and snapshot cutoff (NaN if no touches).",
             "name": "days_since_first_touch",
             "type": "number"
           },
           {
+            "description": "Number of sales activities logged before snapshot.",
             "name": "activity_count",
             "type": "number"
           },
           {
+            "description": "Days elapsed between most recent touch and snapshot cutoff.",
             "name": "days_since_last_touch",
             "type": "number"
           },
           {
+            "description": "Whether any opportunity was created by snapshot date (open or closed).",
             "name": "opportunity_created",
             "type": "boolean"
           },
           {
+            "description": "Whether an open opportunity existed at snapshot date.",
             "name": "has_open_opportunity",
             "type": "boolean"
           },
           {
+            "description": "Estimated ACV of the most recent open opportunity (NaN if none).",
             "name": "opportunity_estimated_acv",
             "type": "number"
           },
           {
+            "description": "Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).",
             "name": "expected_acv",
             "type": "number"
           },
           {
+            "description": "Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.",
             "name": "total_touches_all",
             "type": "integer"
           },
           {
+            "description": "Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.",
             "name": "converted_within_90_days",
             "type": "boolean"
           }
@@ -327,130 +361,162 @@
     },
     {
       "description": "Intro tier valid split for `converted_within_90_days` (750 rows).",
+      "name": "intro_tasks_converted_within_90_days_valid",
       "path": "intro/tasks/converted_within_90_days/valid.parquet",
       "schema": {
         "fields": [
           {
+            "description": "Opaque account identifier.",
             "name": "account_id",
             "type": "string"
           },
           {
+            "description": "Industry vertical of the buying organization.",
             "name": "industry",
             "type": "string"
           },
           {
+            "description": "Geographic region of the account's headquarters.",
             "name": "region",
             "type": "string"
           },
           {
+            "description": "Banded employee headcount of the account.",
             "name": "employee_band",
             "type": "string"
           },
           {
+            "description": "Banded estimated annual revenue of the account.",
             "name": "estimated_revenue_band",
             "type": "string"
           },
           {
+            "description": "Banded internal process maturity score (latent).",
             "name": "process_maturity_band",
             "type": "string"
           },
           {
+            "description": "Opaque contact identifier.",
             "name": "contact_id",
             "type": "string"
           },
           {
+            "description": "Functional area of the primary contact (e.g. finance, ops).",
             "name": "role_function",
             "type": "string"
           },
           {
+            "description": "Seniority band of the primary contact.",
             "name": "seniority",
             "type": "string"
           },
           {
+            "description": "Buyer role classification (economic_buyer, champion, etc.).",
             "name": "buyer_role",
             "type": "string"
           },
           {
+            "description": "Opaque lead identifier.",
             "name": "lead_id",
             "type": "string"
           },
           {
+            "description": "ISO-8601 timestamp when the lead was created.",
             "name": "lead_created_at",
             "type": "string"
           },
           {
+            "description": "Origination source of the lead (e.g. inbound_form, sdr_outbound).",
             "name": "lead_source",
             "type": "string"
           },
           {
+            "description": "Total number of marketing/sales touches recorded before snapshot.",
             "name": "touch_count",
             "type": "number"
           },
           {
+            "description": "Number of inbound touches before snapshot.",
             "name": "inbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of outbound touches before snapshot.",
             "name": "outbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of web/trial sessions recorded before snapshot.",
             "name": "session_count",
             "type": "number"
           },
           {
+            "description": "Cumulative pricing page views across all sessions before snapshot.",
             "name": "pricing_page_views",
             "type": "number"
           },
           {
+            "description": "Cumulative demo page views across all sessions before snapshot.",
             "name": "demo_page_views",
             "type": "number"
           },
           {
+            "description": "Sum of session durations (seconds) before snapshot.",
             "name": "total_session_duration_seconds",
             "type": "number"
           },
           {
+            "description": "Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.",
             "name": "touches_days_0_7",
             "type": "number"
           },
           {
+            "description": "Number of touches in the last 7 days before snapshot cutoff.",
             "name": "touches_last_7_days",
             "type": "number"
           },
           {
+            "description": "Days between first touch and snapshot cutoff (NaN if no touches).",
             "name": "days_since_first_touch",
             "type": "number"
           },
           {
+            "description": "Number of sales activities logged before snapshot.",
             "name": "activity_count",
             "type": "number"
           },
           {
+            "description": "Days elapsed between most recent touch and snapshot cutoff.",
             "name": "days_since_last_touch",
             "type": "number"
           },
           {
+            "description": "Whether any opportunity was created by snapshot date (open or closed).",
             "name": "opportunity_created",
             "type": "boolean"
           },
           {
+            "description": "Whether an open opportunity existed at snapshot date.",
             "name": "has_open_opportunity",
             "type": "boolean"
           },
           {
+            "description": "Estimated ACV of the most recent open opportunity (NaN if none).",
             "name": "opportunity_estimated_acv",
             "type": "number"
           },
           {
+            "description": "Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).",
             "name": "expected_acv",
             "type": "number"
           },
           {
+            "description": "Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.",
             "name": "total_touches_all",
             "type": "integer"
           },
           {
+            "description": "Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.",
             "name": "converted_within_90_days",
             "type": "boolean"
           }
@@ -459,130 +525,162 @@
     },
     {
       "description": "Intro tier test split for `converted_within_90_days` (750 rows).",
+      "name": "intro_tasks_converted_within_90_days_test",
       "path": "intro/tasks/converted_within_90_days/test.parquet",
       "schema": {
         "fields": [
           {
+            "description": "Opaque account identifier.",
             "name": "account_id",
             "type": "string"
           },
           {
+            "description": "Industry vertical of the buying organization.",
             "name": "industry",
             "type": "string"
           },
           {
+            "description": "Geographic region of the account's headquarters.",
             "name": "region",
             "type": "string"
           },
           {
+            "description": "Banded employee headcount of the account.",
             "name": "employee_band",
             "type": "string"
           },
           {
+            "description": "Banded estimated annual revenue of the account.",
             "name": "estimated_revenue_band",
             "type": "string"
           },
           {
+            "description": "Banded internal process maturity score (latent).",
             "name": "process_maturity_band",
             "type": "string"
           },
           {
+            "description": "Opaque contact identifier.",
             "name": "contact_id",
             "type": "string"
           },
           {
+            "description": "Functional area of the primary contact (e.g. finance, ops).",
             "name": "role_function",
             "type": "string"
           },
           {
+            "description": "Seniority band of the primary contact.",
             "name": "seniority",
             "type": "string"
           },
           {
+            "description": "Buyer role classification (economic_buyer, champion, etc.).",
             "name": "buyer_role",
             "type": "string"
           },
           {
+            "description": "Opaque lead identifier.",
             "name": "lead_id",
             "type": "string"
           },
           {
+            "description": "ISO-8601 timestamp when the lead was created.",
             "name": "lead_created_at",
             "type": "string"
           },
           {
+            "description": "Origination source of the lead (e.g. inbound_form, sdr_outbound).",
             "name": "lead_source",
             "type": "string"
           },
           {
+            "description": "Total number of marketing/sales touches recorded before snapshot.",
             "name": "touch_count",
             "type": "number"
           },
           {
+            "description": "Number of inbound touches before snapshot.",
             "name": "inbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of outbound touches before snapshot.",
             "name": "outbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of web/trial sessions recorded before snapshot.",
             "name": "session_count",
             "type": "number"
           },
           {
+            "description": "Cumulative pricing page views across all sessions before snapshot.",
             "name": "pricing_page_views",
             "type": "number"
           },
           {
+            "description": "Cumulative demo page views across all sessions before snapshot.",
             "name": "demo_page_views",
             "type": "number"
           },
           {
+            "description": "Sum of session durations (seconds) before snapshot.",
             "name": "total_session_duration_seconds",
             "type": "number"
           },
           {
+            "description": "Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.",
             "name": "touches_days_0_7",
             "type": "number"
           },
           {
+            "description": "Number of touches in the last 7 days before snapshot cutoff.",
             "name": "touches_last_7_days",
             "type": "number"
           },
           {
+            "description": "Days between first touch and snapshot cutoff (NaN if no touches).",
             "name": "days_since_first_touch",
             "type": "number"
           },
           {
+            "description": "Number of sales activities logged before snapshot.",
             "name": "activity_count",
             "type": "number"
           },
           {
+            "description": "Days elapsed between most recent touch and snapshot cutoff.",
             "name": "days_since_last_touch",
             "type": "number"
           },
           {
+            "description": "Whether any opportunity was created by snapshot date (open or closed).",
             "name": "opportunity_created",
             "type": "boolean"
           },
           {
+            "description": "Whether an open opportunity existed at snapshot date.",
             "name": "has_open_opportunity",
             "type": "boolean"
           },
           {
+            "description": "Estimated ACV of the most recent open opportunity (NaN if none).",
             "name": "opportunity_estimated_acv",
             "type": "number"
           },
           {
+            "description": "Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).",
             "name": "expected_acv",
             "type": "number"
           },
           {
+            "description": "Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.",
             "name": "total_touches_all",
             "type": "integer"
           },
           {
+            "description": "Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.",
             "name": "converted_within_90_days",
             "type": "boolean"
           }
@@ -591,6 +689,7 @@
     },
     {
       "description": "Intro tier `accounts` relational table (1,500 rows) — snapshot-safe.",
+      "name": "intro_tables_accounts",
       "path": "intro/tables/accounts.parquet",
       "schema": {
         "fields": [
@@ -639,6 +738,7 @@
     },
     {
       "description": "Intro tier `contacts` relational table (4,200 rows) — snapshot-safe.",
+      "name": "intro_tables_contacts",
       "path": "intro/tables/contacts.parquet",
       "schema": {
         "fields": [
@@ -687,6 +787,7 @@
     },
     {
       "description": "Intro tier `leads` relational table (5,000 rows) — snapshot-safe.",
+      "name": "intro_tables_leads",
       "path": "intro/tables/leads.parquet",
       "schema": {
         "fields": [
@@ -730,6 +831,7 @@
     },
     {
       "description": "Intro tier `touches` relational table (38,561 rows) — snapshot-safe.",
+      "name": "intro_tables_touches",
       "path": "intro/tables/touches.parquet",
       "schema": {
         "fields": [
@@ -773,6 +875,7 @@
     },
     {
       "description": "Intro tier `sessions` relational table (10,171 rows) — snapshot-safe.",
+      "name": "intro_tables_sessions",
       "path": "intro/tables/sessions.parquet",
       "schema": {
         "fields": [
@@ -821,6 +924,7 @@
     },
     {
       "description": "Intro tier `sales_activities` relational table (21,358 rows) — snapshot-safe.",
+      "name": "intro_tables_sales_activities",
       "path": "intro/tables/sales_activities.parquet",
       "schema": {
         "fields": [
@@ -859,6 +963,7 @@
     },
     {
       "description": "Intro tier `opportunities` relational table (4,426 rows) — snapshot-safe.",
+      "name": "intro_tables_opportunities",
       "path": "intro/tables/opportunities.parquet",
       "schema": {
         "fields": [
@@ -892,18 +997,22 @@
     },
     {
       "description": "Intro tier auto-rendered dataset card.",
+      "name": "intro_dataset_card",
       "path": "intro/dataset_card.md"
     },
     {
       "description": "Intro tier headline metrics (cross-seed medians + spreads, difficulty knobs, JSON-path back-reference to validation_report.json).",
+      "name": "intro_metrics",
       "path": "intro/metrics.json"
     },
     {
       "description": "Intro tier provenance manifest (recipe, seed, package version, file hashes, snapshot_day, redaction contract).",
+      "name": "intro_manifest",
       "path": "intro/manifest.json"
     },
     {
       "description": "Intermediate tier flat CSV (all splits concatenated, label retained, snapshot_day=30). The `split` column distinguishes train/valid/test rows.",
+      "name": "intermediate_lead_scoring",
       "path": "intermediate/lead_scoring.csv",
       "schema": {
         "fields": [
@@ -1072,134 +1181,167 @@
     },
     {
       "description": "Intermediate tier feature dictionary (canonical column spec).",
+      "name": "intermediate_feature_dictionary",
       "path": "intermediate/feature_dictionary.csv"
     },
     {
       "description": "Intermediate tier train split for `converted_within_90_days` (3,500 rows).",
+      "name": "intermediate_tasks_converted_within_90_days_train",
       "path": "intermediate/tasks/converted_within_90_days/train.parquet",
       "schema": {
         "fields": [
           {
+            "description": "Opaque account identifier.",
             "name": "account_id",
             "type": "string"
           },
           {
+            "description": "Industry vertical of the buying organization.",
             "name": "industry",
             "type": "string"
           },
           {
+            "description": "Geographic region of the account's headquarters.",
             "name": "region",
             "type": "string"
           },
           {
+            "description": "Banded employee headcount of the account.",
             "name": "employee_band",
             "type": "string"
           },
           {
+            "description": "Banded estimated annual revenue of the account.",
             "name": "estimated_revenue_band",
             "type": "string"
           },
           {
+            "description": "Banded internal process maturity score (latent).",
             "name": "process_maturity_band",
             "type": "string"
           },
           {
+            "description": "Opaque contact identifier.",
             "name": "contact_id",
             "type": "string"
           },
           {
+            "description": "Functional area of the primary contact (e.g. finance, ops).",
             "name": "role_function",
             "type": "string"
           },
           {
+            "description": "Seniority band of the primary contact.",
             "name": "seniority",
             "type": "string"
           },
           {
+            "description": "Buyer role classification (economic_buyer, champion, etc.).",
             "name": "buyer_role",
             "type": "string"
           },
           {
+            "description": "Opaque lead identifier.",
             "name": "lead_id",
             "type": "string"
           },
           {
+            "description": "ISO-8601 timestamp when the lead was created.",
             "name": "lead_created_at",
             "type": "string"
           },
           {
+            "description": "Origination source of the lead (e.g. inbound_form, sdr_outbound).",
             "name": "lead_source",
             "type": "string"
           },
           {
+            "description": "Total number of marketing/sales touches recorded before snapshot.",
             "name": "touch_count",
             "type": "number"
           },
           {
+            "description": "Number of inbound touches before snapshot.",
             "name": "inbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of outbound touches before snapshot.",
             "name": "outbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of web/trial sessions recorded before snapshot.",
             "name": "session_count",
             "type": "number"
           },
           {
+            "description": "Cumulative pricing page views across all sessions before snapshot.",
             "name": "pricing_page_views",
             "type": "number"
           },
           {
+            "description": "Cumulative demo page views across all sessions before snapshot.",
             "name": "demo_page_views",
             "type": "number"
           },
           {
+            "description": "Sum of session durations (seconds) before snapshot.",
             "name": "total_session_duration_seconds",
             "type": "number"
           },
           {
+            "description": "Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.",
             "name": "touches_days_0_7",
             "type": "number"
           },
           {
+            "description": "Number of touches in the last 7 days before snapshot cutoff.",
             "name": "touches_last_7_days",
             "type": "number"
           },
           {
+            "description": "Days between first touch and snapshot cutoff (NaN if no touches).",
             "name": "days_since_first_touch",
             "type": "number"
           },
           {
+            "description": "Number of sales activities logged before snapshot.",
             "name": "activity_count",
             "type": "number"
           },
           {
+            "description": "Days elapsed between most recent touch and snapshot cutoff.",
             "name": "days_since_last_touch",
             "type": "number"
           },
           {
+            "description": "Whether any opportunity was created by snapshot date (open or closed).",
             "name": "opportunity_created",
             "type": "boolean"
           },
           {
+            "description": "Whether an open opportunity existed at snapshot date.",
             "name": "has_open_opportunity",
             "type": "boolean"
           },
           {
+            "description": "Estimated ACV of the most recent open opportunity (NaN if none).",
             "name": "opportunity_estimated_acv",
             "type": "number"
           },
           {
+            "description": "Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).",
             "name": "expected_acv",
             "type": "number"
           },
           {
+            "description": "Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.",
             "name": "total_touches_all",
             "type": "integer"
           },
           {
+            "description": "Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.",
             "name": "converted_within_90_days",
             "type": "boolean"
           }
@@ -1208,130 +1350,162 @@
     },
     {
       "description": "Intermediate tier valid split for `converted_within_90_days` (750 rows).",
+      "name": "intermediate_tasks_converted_within_90_days_valid",
       "path": "intermediate/tasks/converted_within_90_days/valid.parquet",
       "schema": {
         "fields": [
           {
+            "description": "Opaque account identifier.",
             "name": "account_id",
             "type": "string"
           },
           {
+            "description": "Industry vertical of the buying organization.",
             "name": "industry",
             "type": "string"
           },
           {
+            "description": "Geographic region of the account's headquarters.",
             "name": "region",
             "type": "string"
           },
           {
+            "description": "Banded employee headcount of the account.",
             "name": "employee_band",
             "type": "string"
           },
           {
+            "description": "Banded estimated annual revenue of the account.",
             "name": "estimated_revenue_band",
             "type": "string"
           },
           {
+            "description": "Banded internal process maturity score (latent).",
             "name": "process_maturity_band",
             "type": "string"
           },
           {
+            "description": "Opaque contact identifier.",
             "name": "contact_id",
             "type": "string"
           },
           {
+            "description": "Functional area of the primary contact (e.g. finance, ops).",
             "name": "role_function",
             "type": "string"
           },
           {
+            "description": "Seniority band of the primary contact.",
             "name": "seniority",
             "type": "string"
           },
           {
+            "description": "Buyer role classification (economic_buyer, champion, etc.).",
             "name": "buyer_role",
             "type": "string"
           },
           {
+            "description": "Opaque lead identifier.",
             "name": "lead_id",
             "type": "string"
           },
           {
+            "description": "ISO-8601 timestamp when the lead was created.",
             "name": "lead_created_at",
             "type": "string"
           },
           {
+            "description": "Origination source of the lead (e.g. inbound_form, sdr_outbound).",
             "name": "lead_source",
             "type": "string"
           },
           {
+            "description": "Total number of marketing/sales touches recorded before snapshot.",
             "name": "touch_count",
             "type": "number"
           },
           {
+            "description": "Number of inbound touches before snapshot.",
             "name": "inbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of outbound touches before snapshot.",
             "name": "outbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of web/trial sessions recorded before snapshot.",
             "name": "session_count",
             "type": "number"
           },
           {
+            "description": "Cumulative pricing page views across all sessions before snapshot.",
             "name": "pricing_page_views",
             "type": "number"
           },
           {
+            "description": "Cumulative demo page views across all sessions before snapshot.",
             "name": "demo_page_views",
             "type": "number"
           },
           {
+            "description": "Sum of session durations (seconds) before snapshot.",
             "name": "total_session_duration_seconds",
             "type": "number"
           },
           {
+            "description": "Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.",
             "name": "touches_days_0_7",
             "type": "number"
           },
           {
+            "description": "Number of touches in the last 7 days before snapshot cutoff.",
             "name": "touches_last_7_days",
             "type": "number"
           },
           {
+            "description": "Days between first touch and snapshot cutoff (NaN if no touches).",
             "name": "days_since_first_touch",
             "type": "number"
           },
           {
+            "description": "Number of sales activities logged before snapshot.",
             "name": "activity_count",
             "type": "number"
           },
           {
+            "description": "Days elapsed between most recent touch and snapshot cutoff.",
             "name": "days_since_last_touch",
             "type": "number"
           },
           {
+            "description": "Whether any opportunity was created by snapshot date (open or closed).",
             "name": "opportunity_created",
             "type": "boolean"
           },
           {
+            "description": "Whether an open opportunity existed at snapshot date.",
             "name": "has_open_opportunity",
             "type": "boolean"
           },
           {
+            "description": "Estimated ACV of the most recent open opportunity (NaN if none).",
             "name": "opportunity_estimated_acv",
             "type": "number"
           },
           {
+            "description": "Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).",
             "name": "expected_acv",
             "type": "number"
           },
           {
+            "description": "Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.",
             "name": "total_touches_all",
             "type": "integer"
           },
           {
+            "description": "Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.",
             "name": "converted_within_90_days",
             "type": "boolean"
           }
@@ -1340,130 +1514,162 @@
     },
     {
       "description": "Intermediate tier test split for `converted_within_90_days` (750 rows).",
+      "name": "intermediate_tasks_converted_within_90_days_test",
       "path": "intermediate/tasks/converted_within_90_days/test.parquet",
       "schema": {
         "fields": [
           {
+            "description": "Opaque account identifier.",
             "name": "account_id",
             "type": "string"
           },
           {
+            "description": "Industry vertical of the buying organization.",
             "name": "industry",
             "type": "string"
           },
           {
+            "description": "Geographic region of the account's headquarters.",
             "name": "region",
             "type": "string"
           },
           {
+            "description": "Banded employee headcount of the account.",
             "name": "employee_band",
             "type": "string"
           },
           {
+            "description": "Banded estimated annual revenue of the account.",
             "name": "estimated_revenue_band",
             "type": "string"
           },
           {
+            "description": "Banded internal process maturity score (latent).",
             "name": "process_maturity_band",
             "type": "string"
           },
           {
+            "description": "Opaque contact identifier.",
             "name": "contact_id",
             "type": "string"
           },
           {
+            "description": "Functional area of the primary contact (e.g. finance, ops).",
             "name": "role_function",
             "type": "string"
           },
           {
+            "description": "Seniority band of the primary contact.",
             "name": "seniority",
             "type": "string"
           },
           {
+            "description": "Buyer role classification (economic_buyer, champion, etc.).",
             "name": "buyer_role",
             "type": "string"
           },
           {
+            "description": "Opaque lead identifier.",
             "name": "lead_id",
             "type": "string"
           },
           {
+            "description": "ISO-8601 timestamp when the lead was created.",
             "name": "lead_created_at",
             "type": "string"
           },
           {
+            "description": "Origination source of the lead (e.g. inbound_form, sdr_outbound).",
             "name": "lead_source",
             "type": "string"
           },
           {
+            "description": "Total number of marketing/sales touches recorded before snapshot.",
             "name": "touch_count",
             "type": "number"
           },
           {
+            "description": "Number of inbound touches before snapshot.",
             "name": "inbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of outbound touches before snapshot.",
             "name": "outbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of web/trial sessions recorded before snapshot.",
             "name": "session_count",
             "type": "number"
           },
           {
+            "description": "Cumulative pricing page views across all sessions before snapshot.",
             "name": "pricing_page_views",
             "type": "number"
           },
           {
+            "description": "Cumulative demo page views across all sessions before snapshot.",
             "name": "demo_page_views",
             "type": "number"
           },
           {
+            "description": "Sum of session durations (seconds) before snapshot.",
             "name": "total_session_duration_seconds",
             "type": "number"
           },
           {
+            "description": "Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.",
             "name": "touches_days_0_7",
             "type": "number"
           },
           {
+            "description": "Number of touches in the last 7 days before snapshot cutoff.",
             "name": "touches_last_7_days",
             "type": "number"
           },
           {
+            "description": "Days between first touch and snapshot cutoff (NaN if no touches).",
             "name": "days_since_first_touch",
             "type": "number"
           },
           {
+            "description": "Number of sales activities logged before snapshot.",
             "name": "activity_count",
             "type": "number"
           },
           {
+            "description": "Days elapsed between most recent touch and snapshot cutoff.",
             "name": "days_since_last_touch",
             "type": "number"
           },
           {
+            "description": "Whether any opportunity was created by snapshot date (open or closed).",
             "name": "opportunity_created",
             "type": "boolean"
           },
           {
+            "description": "Whether an open opportunity existed at snapshot date.",
             "name": "has_open_opportunity",
             "type": "boolean"
           },
           {
+            "description": "Estimated ACV of the most recent open opportunity (NaN if none).",
             "name": "opportunity_estimated_acv",
             "type": "number"
           },
           {
+            "description": "Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).",
             "name": "expected_acv",
             "type": "number"
           },
           {
+            "description": "Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.",
             "name": "total_touches_all",
             "type": "integer"
           },
           {
+            "description": "Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.",
             "name": "converted_within_90_days",
             "type": "boolean"
           }
@@ -1472,6 +1678,7 @@
     },
     {
       "description": "Intermediate tier `accounts` relational table (1,500 rows) — snapshot-safe.",
+      "name": "intermediate_tables_accounts",
       "path": "intermediate/tables/accounts.parquet",
       "schema": {
         "fields": [
@@ -1520,6 +1727,7 @@
     },
     {
       "description": "Intermediate tier `contacts` relational table (4,200 rows) — snapshot-safe.",
+      "name": "intermediate_tables_contacts",
       "path": "intermediate/tables/contacts.parquet",
       "schema": {
         "fields": [
@@ -1568,6 +1776,7 @@
     },
     {
       "description": "Intermediate tier `leads` relational table (5,000 rows) — snapshot-safe.",
+      "name": "intermediate_tables_leads",
       "path": "intermediate/tables/leads.parquet",
       "schema": {
         "fields": [
@@ -1611,6 +1820,7 @@
     },
     {
       "description": "Intermediate tier `touches` relational table (38,724 rows) — snapshot-safe.",
+      "name": "intermediate_tables_touches",
       "path": "intermediate/tables/touches.parquet",
       "schema": {
         "fields": [
@@ -1654,6 +1864,7 @@
     },
     {
       "description": "Intermediate tier `sessions` relational table (10,012 rows) — snapshot-safe.",
+      "name": "intermediate_tables_sessions",
       "path": "intermediate/tables/sessions.parquet",
       "schema": {
         "fields": [
@@ -1702,6 +1913,7 @@
     },
     {
       "description": "Intermediate tier `sales_activities` relational table (20,679 rows) — snapshot-safe.",
+      "name": "intermediate_tables_sales_activities",
       "path": "intermediate/tables/sales_activities.parquet",
       "schema": {
         "fields": [
@@ -1740,6 +1952,7 @@
     },
     {
       "description": "Intermediate tier `opportunities` relational table (4,255 rows) — snapshot-safe.",
+      "name": "intermediate_tables_opportunities",
       "path": "intermediate/tables/opportunities.parquet",
       "schema": {
         "fields": [
@@ -1773,18 +1986,22 @@
     },
     {
       "description": "Intermediate tier auto-rendered dataset card.",
+      "name": "intermediate_dataset_card",
       "path": "intermediate/dataset_card.md"
     },
     {
       "description": "Intermediate tier headline metrics (cross-seed medians + spreads, difficulty knobs, JSON-path back-reference to validation_report.json).",
+      "name": "intermediate_metrics",
       "path": "intermediate/metrics.json"
     },
     {
       "description": "Intermediate tier provenance manifest (recipe, seed, package version, file hashes, snapshot_day, redaction contract).",
+      "name": "intermediate_manifest",
       "path": "intermediate/manifest.json"
     },
     {
       "description": "Advanced tier flat CSV (all splits concatenated, label retained, snapshot_day=30). The `split` column distinguishes train/valid/test rows.",
+      "name": "advanced_lead_scoring",
       "path": "advanced/lead_scoring.csv",
       "schema": {
         "fields": [
@@ -1953,134 +2170,167 @@
     },
     {
       "description": "Advanced tier feature dictionary (canonical column spec).",
+      "name": "advanced_feature_dictionary",
       "path": "advanced/feature_dictionary.csv"
     },
     {
       "description": "Advanced tier train split for `converted_within_90_days` (3,500 rows).",
+      "name": "advanced_tasks_converted_within_90_days_train",
       "path": "advanced/tasks/converted_within_90_days/train.parquet",
       "schema": {
         "fields": [
           {
+            "description": "Opaque account identifier.",
             "name": "account_id",
             "type": "string"
           },
           {
+            "description": "Industry vertical of the buying organization.",
             "name": "industry",
             "type": "string"
           },
           {
+            "description": "Geographic region of the account's headquarters.",
             "name": "region",
             "type": "string"
           },
           {
+            "description": "Banded employee headcount of the account.",
             "name": "employee_band",
             "type": "string"
           },
           {
+            "description": "Banded estimated annual revenue of the account.",
             "name": "estimated_revenue_band",
             "type": "string"
           },
           {
+            "description": "Banded internal process maturity score (latent).",
             "name": "process_maturity_band",
             "type": "string"
           },
           {
+            "description": "Opaque contact identifier.",
             "name": "contact_id",
             "type": "string"
           },
           {
+            "description": "Functional area of the primary contact (e.g. finance, ops).",
             "name": "role_function",
             "type": "string"
           },
           {
+            "description": "Seniority band of the primary contact.",
             "name": "seniority",
             "type": "string"
           },
           {
+            "description": "Buyer role classification (economic_buyer, champion, etc.).",
             "name": "buyer_role",
             "type": "string"
           },
           {
+            "description": "Opaque lead identifier.",
             "name": "lead_id",
             "type": "string"
           },
           {
+            "description": "ISO-8601 timestamp when the lead was created.",
             "name": "lead_created_at",
             "type": "string"
           },
           {
+            "description": "Origination source of the lead (e.g. inbound_form, sdr_outbound).",
             "name": "lead_source",
             "type": "string"
           },
           {
+            "description": "Total number of marketing/sales touches recorded before snapshot.",
             "name": "touch_count",
             "type": "number"
           },
           {
+            "description": "Number of inbound touches before snapshot.",
             "name": "inbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of outbound touches before snapshot.",
             "name": "outbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of web/trial sessions recorded before snapshot.",
             "name": "session_count",
             "type": "number"
           },
           {
+            "description": "Cumulative pricing page views across all sessions before snapshot.",
             "name": "pricing_page_views",
             "type": "number"
           },
           {
+            "description": "Cumulative demo page views across all sessions before snapshot.",
             "name": "demo_page_views",
             "type": "number"
           },
           {
+            "description": "Sum of session durations (seconds) before snapshot.",
             "name": "total_session_duration_seconds",
             "type": "number"
           },
           {
+            "description": "Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.",
             "name": "touches_days_0_7",
             "type": "number"
           },
           {
+            "description": "Number of touches in the last 7 days before snapshot cutoff.",
             "name": "touches_last_7_days",
             "type": "number"
           },
           {
+            "description": "Days between first touch and snapshot cutoff (NaN if no touches).",
             "name": "days_since_first_touch",
             "type": "number"
           },
           {
+            "description": "Number of sales activities logged before snapshot.",
             "name": "activity_count",
             "type": "number"
           },
           {
+            "description": "Days elapsed between most recent touch and snapshot cutoff.",
             "name": "days_since_last_touch",
             "type": "number"
           },
           {
+            "description": "Whether any opportunity was created by snapshot date (open or closed).",
             "name": "opportunity_created",
             "type": "boolean"
           },
           {
+            "description": "Whether an open opportunity existed at snapshot date.",
             "name": "has_open_opportunity",
             "type": "boolean"
           },
           {
+            "description": "Estimated ACV of the most recent open opportunity (NaN if none).",
             "name": "opportunity_estimated_acv",
             "type": "number"
           },
           {
+            "description": "Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).",
             "name": "expected_acv",
             "type": "number"
           },
           {
+            "description": "Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.",
             "name": "total_touches_all",
             "type": "integer"
           },
           {
+            "description": "Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.",
             "name": "converted_within_90_days",
             "type": "boolean"
           }
@@ -2089,130 +2339,162 @@
     },
     {
       "description": "Advanced tier valid split for `converted_within_90_days` (750 rows).",
+      "name": "advanced_tasks_converted_within_90_days_valid",
       "path": "advanced/tasks/converted_within_90_days/valid.parquet",
       "schema": {
         "fields": [
           {
+            "description": "Opaque account identifier.",
             "name": "account_id",
             "type": "string"
           },
           {
+            "description": "Industry vertical of the buying organization.",
             "name": "industry",
             "type": "string"
           },
           {
+            "description": "Geographic region of the account's headquarters.",
             "name": "region",
             "type": "string"
           },
           {
+            "description": "Banded employee headcount of the account.",
             "name": "employee_band",
             "type": "string"
           },
           {
+            "description": "Banded estimated annual revenue of the account.",
             "name": "estimated_revenue_band",
             "type": "string"
           },
           {
+            "description": "Banded internal process maturity score (latent).",
             "name": "process_maturity_band",
             "type": "string"
           },
           {
+            "description": "Opaque contact identifier.",
             "name": "contact_id",
             "type": "string"
           },
           {
+            "description": "Functional area of the primary contact (e.g. finance, ops).",
             "name": "role_function",
             "type": "string"
           },
           {
+            "description": "Seniority band of the primary contact.",
             "name": "seniority",
             "type": "string"
           },
           {
+            "description": "Buyer role classification (economic_buyer, champion, etc.).",
             "name": "buyer_role",
             "type": "string"
           },
           {
+            "description": "Opaque lead identifier.",
             "name": "lead_id",
             "type": "string"
           },
           {
+            "description": "ISO-8601 timestamp when the lead was created.",
             "name": "lead_created_at",
             "type": "string"
           },
           {
+            "description": "Origination source of the lead (e.g. inbound_form, sdr_outbound).",
             "name": "lead_source",
             "type": "string"
           },
           {
+            "description": "Total number of marketing/sales touches recorded before snapshot.",
             "name": "touch_count",
             "type": "number"
           },
           {
+            "description": "Number of inbound touches before snapshot.",
             "name": "inbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of outbound touches before snapshot.",
             "name": "outbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of web/trial sessions recorded before snapshot.",
             "name": "session_count",
             "type": "number"
           },
           {
+            "description": "Cumulative pricing page views across all sessions before snapshot.",
             "name": "pricing_page_views",
             "type": "number"
           },
           {
+            "description": "Cumulative demo page views across all sessions before snapshot.",
             "name": "demo_page_views",
             "type": "number"
           },
           {
+            "description": "Sum of session durations (seconds) before snapshot.",
             "name": "total_session_duration_seconds",
             "type": "number"
           },
           {
+            "description": "Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.",
             "name": "touches_days_0_7",
             "type": "number"
           },
           {
+            "description": "Number of touches in the last 7 days before snapshot cutoff.",
             "name": "touches_last_7_days",
             "type": "number"
           },
           {
+            "description": "Days between first touch and snapshot cutoff (NaN if no touches).",
             "name": "days_since_first_touch",
             "type": "number"
           },
           {
+            "description": "Number of sales activities logged before snapshot.",
             "name": "activity_count",
             "type": "number"
           },
           {
+            "description": "Days elapsed between most recent touch and snapshot cutoff.",
             "name": "days_since_last_touch",
             "type": "number"
           },
           {
+            "description": "Whether any opportunity was created by snapshot date (open or closed).",
             "name": "opportunity_created",
             "type": "boolean"
           },
           {
+            "description": "Whether an open opportunity existed at snapshot date.",
             "name": "has_open_opportunity",
             "type": "boolean"
           },
           {
+            "description": "Estimated ACV of the most recent open opportunity (NaN if none).",
             "name": "opportunity_estimated_acv",
             "type": "number"
           },
           {
+            "description": "Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).",
             "name": "expected_acv",
             "type": "number"
           },
           {
+            "description": "Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.",
             "name": "total_touches_all",
             "type": "integer"
           },
           {
+            "description": "Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.",
             "name": "converted_within_90_days",
             "type": "boolean"
           }
@@ -2221,130 +2503,162 @@
     },
     {
       "description": "Advanced tier test split for `converted_within_90_days` (750 rows).",
+      "name": "advanced_tasks_converted_within_90_days_test",
       "path": "advanced/tasks/converted_within_90_days/test.parquet",
       "schema": {
         "fields": [
           {
+            "description": "Opaque account identifier.",
             "name": "account_id",
             "type": "string"
           },
           {
+            "description": "Industry vertical of the buying organization.",
             "name": "industry",
             "type": "string"
           },
           {
+            "description": "Geographic region of the account's headquarters.",
             "name": "region",
             "type": "string"
           },
           {
+            "description": "Banded employee headcount of the account.",
             "name": "employee_band",
             "type": "string"
           },
           {
+            "description": "Banded estimated annual revenue of the account.",
             "name": "estimated_revenue_band",
             "type": "string"
           },
           {
+            "description": "Banded internal process maturity score (latent).",
             "name": "process_maturity_band",
             "type": "string"
           },
           {
+            "description": "Opaque contact identifier.",
             "name": "contact_id",
             "type": "string"
           },
           {
+            "description": "Functional area of the primary contact (e.g. finance, ops).",
             "name": "role_function",
             "type": "string"
           },
           {
+            "description": "Seniority band of the primary contact.",
             "name": "seniority",
             "type": "string"
           },
           {
+            "description": "Buyer role classification (economic_buyer, champion, etc.).",
             "name": "buyer_role",
             "type": "string"
           },
           {
+            "description": "Opaque lead identifier.",
             "name": "lead_id",
             "type": "string"
           },
           {
+            "description": "ISO-8601 timestamp when the lead was created.",
             "name": "lead_created_at",
             "type": "string"
           },
           {
+            "description": "Origination source of the lead (e.g. inbound_form, sdr_outbound).",
             "name": "lead_source",
             "type": "string"
           },
           {
+            "description": "Total number of marketing/sales touches recorded before snapshot.",
             "name": "touch_count",
             "type": "number"
           },
           {
+            "description": "Number of inbound touches before snapshot.",
             "name": "inbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of outbound touches before snapshot.",
             "name": "outbound_touch_count",
             "type": "number"
           },
           {
+            "description": "Number of web/trial sessions recorded before snapshot.",
             "name": "session_count",
             "type": "number"
           },
           {
+            "description": "Cumulative pricing page views across all sessions before snapshot.",
             "name": "pricing_page_views",
             "type": "number"
           },
           {
+            "description": "Cumulative demo page views across all sessions before snapshot.",
             "name": "demo_page_views",
             "type": "number"
           },
           {
+            "description": "Sum of session durations (seconds) before snapshot.",
             "name": "total_session_duration_seconds",
             "type": "number"
           },
           {
+            "description": "Number of touches in days 0–7 (inclusive) after lead creation. Renamed from touches_week_1 for precision: the window covers 8 days (0, 1, …, 7), not 7.",
             "name": "touches_days_0_7",
             "type": "number"
           },
           {
+            "description": "Number of touches in the last 7 days before snapshot cutoff.",
             "name": "touches_last_7_days",
             "type": "number"
           },
           {
+            "description": "Days between first touch and snapshot cutoff (NaN if no touches).",
             "name": "days_since_first_touch",
             "type": "number"
           },
           {
+            "description": "Number of sales activities logged before snapshot.",
             "name": "activity_count",
             "type": "number"
           },
           {
+            "description": "Days elapsed between most recent touch and snapshot cutoff.",
             "name": "days_since_last_touch",
             "type": "number"
           },
           {
+            "description": "Whether any opportunity was created by snapshot date (open or closed).",
             "name": "opportunity_created",
             "type": "boolean"
           },
           {
+            "description": "Whether an open opportunity existed at snapshot date.",
             "name": "has_open_opportunity",
             "type": "boolean"
           },
           {
+            "description": "Estimated ACV of the most recent open opportunity (NaN if none).",
             "name": "opportunity_estimated_acv",
             "type": "number"
           },
           {
+            "description": "Expected ACV: opportunity ACV if available by snapshot, else revenue band midpoint heuristic (NaN if neither available).",
             "name": "expected_acv",
             "type": "number"
           },
           {
+            "description": "Total touches over full 90-day window. LEAKAGE TRAP: uses post-snapshot data. Included for pedagogical purposes only.",
             "name": "total_touches_all",
             "type": "integer"
           },
           {
+            "description": "Label: True if a closed_won event occurred within 90 days of the snapshot anchor date. Derived from simulated events.",
             "name": "converted_within_90_days",
             "type": "boolean"
           }
@@ -2353,6 +2667,7 @@
     },
     {
       "description": "Advanced tier `accounts` relational table (1,500 rows) — snapshot-safe.",
+      "name": "advanced_tables_accounts",
       "path": "advanced/tables/accounts.parquet",
       "schema": {
         "fields": [
@@ -2401,6 +2716,7 @@
     },
     {
       "description": "Advanced tier `contacts` relational table (4,200 rows) — snapshot-safe.",
+      "name": "advanced_tables_contacts",
       "path": "advanced/tables/contacts.parquet",
       "schema": {
         "fields": [
@@ -2449,6 +2765,7 @@
     },
     {
       "description": "Advanced tier `leads` relational table (5,000 rows) — snapshot-safe.",
+      "name": "advanced_tables_leads",
       "path": "advanced/tables/leads.parquet",
       "schema": {
         "fields": [
@@ -2492,6 +2809,7 @@
     },
     {
       "description": "Advanced tier `touches` relational table (38,208 rows) — snapshot-safe.",
+      "name": "advanced_tables_touches",
       "path": "advanced/tables/touches.parquet",
       "schema": {
         "fields": [
@@ -2535,6 +2853,7 @@
     },
     {
       "description": "Advanced tier `sessions` relational table (9,942 rows) — snapshot-safe.",
+      "name": "advanced_tables_sessions",
       "path": "advanced/tables/sessions.parquet",
       "schema": {
         "fields": [
@@ -2583,6 +2902,7 @@
     },
     {
       "description": "Advanced tier `sales_activities` relational table (19,995 rows) — snapshot-safe.",
+      "name": "advanced_tables_sales_activities",
       "path": "advanced/tables/sales_activities.parquet",
       "schema": {
         "fields": [
@@ -2621,6 +2941,7 @@
     },
     {
       "description": "Advanced tier `opportunities` relational table (4,004 rows) — snapshot-safe.",
+      "name": "advanced_tables_opportunities",
       "path": "advanced/tables/opportunities.parquet",
       "schema": {
         "fields": [
@@ -2654,62 +2975,77 @@
     },
     {
       "description": "Advanced tier auto-rendered dataset card.",
+      "name": "advanced_dataset_card",
       "path": "advanced/dataset_card.md"
     },
     {
       "description": "Advanced tier headline metrics (cross-seed medians + spreads, difficulty knobs, JSON-path back-reference to validation_report.json).",
+      "name": "advanced_metrics",
       "path": "advanced/metrics.json"
     },
     {
       "description": "Advanced tier provenance manifest (recipe, seed, package version, file hashes, snapshot_day, redaction contract).",
+      "name": "advanced_manifest",
       "path": "advanced/manifest.json"
     },
     {
       "description": "Top-level cross-tier headline metrics (medians + spreads + cohort-shift + cross-tier ordering booleans). Machine-readable summary backing the README's Calibration table.",
+      "name": "metrics",
       "path": "metrics.json"
     },
     {
       "description": "Claims register (human-readable table). Rendered from `claims_register_source.yaml`.",
+      "name": "claims_register",
       "path": "claims_register.md"
     },
     {
       "description": "Claims register (machine-readable). Each numerical / structural claim in the README paired with its backing artifact and JSON / YAML path.",
+      "name": "claims_register",
       "path": "claims_register.json"
     },
     {
       "description": "Claims-register source YAML — hand-edited; `claims_register.{md,json}` are rendered from this.",
+      "name": "claims_register_source",
       "path": "claims_register_source.yaml"
     },
     {
       "description": "Vendoring guide for the docs/ subtree — explains that these files are mirrored copies of docs/release/ in the source repo, edits go in the source, and the sync script refuses to clobber locally-edited copies.",
+      "name": "docs_readme",
       "path": "docs/README.md"
     },
     {
       "description": "Adversarial-framing guide: nine breakage patterns (leakage, split contamination, ranking inversions, calibration drift) with worked-example detection recipes.",
+      "name": "docs_break_me_guide",
       "path": "docs/break_me_guide.md"
     },
     {
       "description": "Empirical backing for the 'channel signal is weak' claim — out-of-sample univariate AUCs of `lead_source` per tier.",
+      "name": "docs_channel_signal_audit",
       "path": "docs/channel_signal_audit.md"
     },
     {
       "description": "Long-form per-feature documentation grouped by analytical role; companion to the per-tier `feature_dictionary.csv` machine-readable spec.",
+      "name": "docs_feature_dictionary",
       "path": "docs/feature_dictionary.md"
     },
     {
       "description": "Generation method (DGP description) — what is and isn't modelled by the simulator.",
+      "name": "docs_generation_method",
       "path": "docs/generation_method.md"
     },
     {
       "description": "Per-column descriptions for the 7 public relational tables (and the 2 instructor-only ones) — surfaced into the schema-section of this page.",
+      "name": "docs_relational_table_schemas",
       "path": "docs/relational_table_schemas.csv"
     },
     {
       "description": "Operational acceptance bands per gate (G5–G8); the source-of-truth thresholds the validator checks against.",
+      "name": "docs_v1_acceptance_gates_bands",
       "path": "docs/v1_acceptance_gates_bands.yaml"
     },
     {
       "description": "Accepted-for-v2 findings register — issues flagged in v1 that are scoped to the v2 release.",
+      "name": "docs_v2_decision_log",
       "path": "docs/v2_decision_log.md"
     }
   ],
diff --git a/scripts/generate_cover_image.py b/scripts/generate_cover_image.py
index 5cff167..2b0d67e 100644
--- a/scripts/generate_cover_image.py
+++ b/scripts/generate_cover_image.py
@@ -37,6 +37,7 @@
 from __future__ import annotations
 
 import argparse
+import random
 import sys
 from collections.abc import Sequence
 from dataclasses import dataclass
@@ -52,19 +53,28 @@
 
 CANVAS_WIDTH: Final[int] = 1280
 CANVAS_HEIGHT: Final[int] = 640
-LEFT_MARGIN: Final[int] = 80
+LEFT_MARGIN: Final[int] = 62
 
 #: Background — deep navy.
-BACKGROUND: Final[tuple[int, int, int]] = (13, 27, 42)
+BACKGROUND: Final[tuple[int, int, int]] = (13, 17, 23)
 #: Card background — slightly lighter navy.
-CARD_BACKGROUND: Final[tuple[int, int, int]] = (27, 38, 59)
+CARD_BACKGROUND: Final[tuple[int, int, int]] = (22, 27, 34)
 #: Primary text colour — pure white.
 TEXT_PRIMARY: Final[tuple[int, int, int]] = (255, 255, 255)
 #: Secondary text colour — pale steel.
-TEXT_SECONDARY: Final[tuple[int, int, int]] = (200, 220, 240)
+TEXT_SECONDARY: Final[tuple[int, int, int]] = (148, 163, 184)
+#: Dimmer text for feature line.
+TEXT_DIM: Final[tuple[int, int, int]] = (74, 85, 104)
+#: Teal accent.
+ACCENT_TEAL: Final[tuple[int, int, int]] = (0, 212, 170)
 
 DEFAULT_OUT_PATH: Final[Path] = Path("release/dataset-cover-image.png")
 
+#: x-centre of the funnel visualization (right panel).
+FUNNEL_CX: Final[int] = 976
+#: y-coordinate of the top edge of the funnel (top-down).
+FUNNEL_TOP: Final[int] = 90
+
 
 @dataclass(frozen=True)
 class TierBadge:
@@ -74,6 +84,8 @@ class TierBadge:
     conversion_rate_pct: str
     lr_auc: float
     accent: tuple[int, int, int]
+    funnel_top_width: int
+    funnel_bot_width: int
 
 
 #: Cross-seed medians (seeds 42-46) from
@@ -81,11 +93,13 @@ class TierBadge:
 #: cover image is reproducible without reading the report at render
 #: time.
 TIER_BADGES: Final[tuple[TierBadge, ...]] = (
-    TierBadge("Intro", "42.7%", 0.879, (76, 175, 80)),
-    TierBadge("Intermediate", "21.6%", 0.886, (255, 152, 0)),
-    TierBadge("Advanced", "8.4%", 0.886, (244, 67, 54)),
+    TierBadge("Intro", "42.7%", 0.879, (0, 212, 170), 320, 238),
+    TierBadge("Intermediate", "21.6%", 0.886, (245, 158, 11), 238, 156),
+    TierBadge("Advanced", "8.4%", 0.886, (239, 68, 68), 156, 60),
 )
 
+FUNNEL_SECTION_HEIGHT: Final[int] = 140
+
 
 # ---------------------------------------------------------------------------
 # Font loading
@@ -107,32 +121,65 @@ def _find_font(family: str, *, weight: str = "normal") -> Path:
 
 
 # ---------------------------------------------------------------------------
-# Drawing
+# Drawing helpers
 # ---------------------------------------------------------------------------
 
 
+def _draw_bokeh_background(img: Image.Image, *, seed: int = 42) -> Image.Image:
+    """Overlay faint translucent circles giving a soft depth effect."""
+
+    overlay = Image.new("RGBA", img.size, (0, 0, 0, 0))
+    d = ImageDraw.Draw(overlay)
+    rng = random.Random(seed)  # noqa: S311
+    palette = [(0, 212, 170), (74, 158, 234), (245, 158, 11)]
+    for _ in range(160):
+        cx = rng.randint(0, CANVAS_WIDTH)
+        cy = rng.randint(0, CANVAS_HEIGHT)
+        r = rng.randint(20, 90)
+        alpha = rng.randint(3, 12)
+        col = rng.choice(palette)
+        d.ellipse((cx - r, cy - r, cx + r, cy + r), fill=(*col, alpha))
+    # Corner glow: top-left teal, bottom-right amber
+    for gx, gy, gc, ga in [
+        (110, 100, (0, 212, 170), 18),
+        (1160, 540, (245, 158, 11), 14),
+    ]:
+        gr = 280
+        d.ellipse((gx - gr, gy - gr, gx + gr, gy + gr), fill=(*gc, ga))
+    base = img.convert("RGBA")
+    return Image.alpha_composite(base, overlay).convert("RGB")
+
+
+def _draw_vertical_accent(draw: ImageDraw.ImageDraw) -> None:
+    """Teal accent bar left of the title block."""
+
+    draw.rectangle((LEFT_MARGIN, 140, LEFT_MARGIN + 5, 490), fill=ACCENT_TEAL)
+
+
 def _draw_title_block(draw: ImageDraw.ImageDraw, font_paths: dict[str, Path]) -> None:
     """Render the title, tagline, and subtitle text block."""
 
+    tx = LEFT_MARGIN + 18
+
     title_font = ImageFont.truetype(str(font_paths["bold"]), 96)
-    draw.text((LEFT_MARGIN, 88), "LeadForge", font=title_font, fill=TEXT_PRIMARY)
+    draw.text((tx, 160), "LeadForge", font=title_font, fill=TEXT_PRIMARY)
 
-    tagline_font = ImageFont.truetype(str(font_paths["regular"]), 40)
+    tagline_font = ImageFont.truetype(str(font_paths["regular"]), 38)
     draw.text(
-        (LEFT_MARGIN, 208),
-        "Synthetic B2B Lead Scoring · v1",
-        font=tagline_font,
-        fill=TEXT_SECONDARY,
+        (tx, 282), "Synthetic B2B Lead Scoring  ·  v1", font=tagline_font, fill=TEXT_SECONDARY
     )
 
-    subtitle_font = ImageFont.truetype(str(font_paths["regular"]), 24)
+    subtitle_font = ImageFont.truetype(str(font_paths["regular"]), 22)
     draw.text(
-        (LEFT_MARGIN, 280),
-        "5,000 leads · 3 difficulty tiers · 90-day conversion · MIT",
+        (tx, 340),
+        "5,000 leads  ·  3 difficulty tiers  ·  90-day conversion  ·  MIT",
         font=subtitle_font,
-        fill=TEXT_SECONDARY,
+        fill=TEXT_DIM,
     )
 
+    # Separator line
+    draw.line((LEFT_MARGIN, 398, 640, 398), fill=(30, 45, 61), width=1)
+
 
 def _draw_tier_card(
     draw: ImageDraw.ImageDraw,
@@ -145,58 +192,136 @@ def _draw_tier_card(
 
     left, top, right, bottom = box
     draw.rectangle((left, top, right, bottom), fill=CARD_BACKGROUND)
+    # Card border
+    draw.rectangle((left, top, right, bottom), outline=badge.accent, width=1)
     # Coloured accent stripe down the left edge.
-    draw.rectangle((left, top, left + 8, bottom), fill=badge.accent)
+    draw.rectangle((left, top, left + 5, bottom), fill=badge.accent)
 
-    name_font = ImageFont.truetype(str(font_paths["bold"]), 36)
-    draw.text((left + 32, top + 24), badge.name, font=name_font, fill=TEXT_PRIMARY)
+    name_font = ImageFont.truetype(str(font_paths["bold"]), 22)
+    draw.text((left + 16, top + 14), badge.name, font=name_font, fill=TEXT_PRIMARY)
 
-    body_font = ImageFont.truetype(str(font_paths["regular"]), 22)
+    body_font = ImageFont.truetype(str(font_paths["regular"]), 17)
     draw.text(
-        (left + 32, top + 80),
-        f"Conversion: {badge.conversion_rate_pct}",
+        (left + 16, top + 50),
+        f"Conv: {badge.conversion_rate_pct}",
         font=body_font,
         fill=TEXT_SECONDARY,
     )
     draw.text(
-        (left + 32, top + 116),
-        f"LR AUC: {badge.lr_auc:.3f}",
-        font=body_font,
-        fill=TEXT_SECONDARY,
+        (left + 16, top + 76), f"LR AUC: {badge.lr_auc:.3f}", font=body_font, fill=TEXT_SECONDARY
     )
 
 
+def _draw_funnel(draw: ImageDraw.ImageDraw, font_paths: dict[str, Path]) -> None:
+    """Render the three-tier conversion funnel (right panel)."""
+
+    label_font = ImageFont.truetype(str(font_paths["regular"]), 18)
+    tier_font = ImageFont.truetype(str(font_paths["bold"]), 22)
+    pct_font = ImageFont.truetype(str(font_paths["bold"]), 18)
+
+    # "Conversion by Tier" heading above funnel
+    heading = "Conversion by Tier"
+    bbox = draw.textbbox((0, 0), heading, font=label_font)
+    hw = bbox[2] - bbox[0]
+    draw.text((FUNNEL_CX - hw // 2, FUNNEL_TOP - 28), heading, font=label_font, fill=TEXT_DIM)
+
+    y = FUNNEL_TOP
+    for badge in TIER_BADGES:
+        tw = badge.funnel_top_width
+        bw = badge.funnel_bot_width
+        h = FUNNEL_SECTION_HEIGHT
+        col = badge.accent
+        bot_y = y + h
+
+        # Trapezoid
+        pts = [
+            (FUNNEL_CX - tw // 2, y),
+            (FUNNEL_CX + tw // 2, y),
+            (FUNNEL_CX + bw // 2, bot_y),
+            (FUNNEL_CX - bw // 2, bot_y),
+        ]
+        draw.polygon(pts, fill=(*col, 210))
+
+        # Subtle highlight stripe at the top edge of each section
+        hl_pts = [
+            (FUNNEL_CX - tw // 2, y),
+            (FUNNEL_CX + tw // 2, y),
+            (FUNNEL_CX + tw // 2, y + 14),
+            (FUNNEL_CX - tw // 2, y + 14),
+        ]
+        draw.polygon(hl_pts, fill=(255, 255, 255, 18))
+
+        # Tier name centred inside section
+        mid_y = y + h // 2
+        name_bbox = draw.textbbox((0, 0), badge.name, font=tier_font)
+        nw = name_bbox[2] - name_bbox[0]
+        nh = name_bbox[3] - name_bbox[1]
+        draw.text(
+            (FUNNEL_CX - nw // 2, mid_y - nh // 2), badge.name, font=tier_font, fill=TEXT_PRIMARY
+        )
+
+        # Conversion % to the right of the widest top edge
+        pct_x = FUNNEL_CX + tw // 2 + 14
+        pct_bbox = draw.textbbox((0, 0), badge.conversion_rate_pct, font=pct_font)
+        ph = pct_bbox[3] - pct_bbox[1]
+        draw.text((pct_x, mid_y - ph // 2), badge.conversion_rate_pct, font=pct_font, fill=col)
+
+        y = bot_y
+
+    # "LR AUC ≈ 0.88" caption below funnel
+    caption = "LR AUC ≈ 0.88 across all tiers"
+    cbbox = draw.textbbox((0, 0), caption, font=label_font)
+    cw = cbbox[2] - cbbox[0]
+    draw.text((FUNNEL_CX - cw // 2, y + 16), caption, font=label_font, fill=TEXT_DIM)
+
+
+def _draw_bottom_strip(draw: ImageDraw.ImageDraw) -> None:
+    """Thin teal strip at the very bottom edge."""
+
+    draw.rectangle((0, CANVAS_HEIGHT - 5, CANVAS_WIDTH, CANVAS_HEIGHT), fill=(*ACCENT_TEAL, 128))
+
+
+# ---------------------------------------------------------------------------
+# Public API
+# ---------------------------------------------------------------------------
+
+
 def render_cover(badges: Sequence[TierBadge] = TIER_BADGES) -> Image.Image:
     """Render the cover image as a fresh ``PIL.Image`` instance."""
 
     image = Image.new("RGB", (CANVAS_WIDTH, CANVAS_HEIGHT), BACKGROUND)
-    draw = ImageDraw.Draw(image)
+
+    # Bokeh background (composite via RGBA)
+    image = _draw_bokeh_background(image)
+
+    draw = ImageDraw.Draw(image, "RGBA")
 
     font_paths = {
         "regular": _find_font("DejaVu Sans", weight="normal"),
         "bold": _find_font("DejaVu Sans", weight="bold"),
     }
 
+    _draw_vertical_accent(draw)
     _draw_title_block(draw, font_paths)
+    _draw_funnel(draw, font_paths)
 
-    # Three equal-width cards spanning the bottom half of the canvas.
-    card_top = 400
-    card_bottom = 580
+    # Three tier cards across the bottom-left panel
+    card_top = 420
+    card_bottom = 590
     card_count = len(badges)
-    gap = 40
-    available = CANVAS_WIDTH - 2 * LEFT_MARGIN
+    gap = 16
+    available = 640 - LEFT_MARGIN - 10
     card_width = (available - gap * (card_count - 1)) // card_count
     for i, badge in enumerate(badges):
         left = LEFT_MARGIN + i * (card_width + gap)
         right = left + card_width
         _draw_tier_card(
-            draw,
-            badge=badge,
-            box=(left, card_top, right, card_bottom),
-            font_paths=font_paths,
+            draw, badge=badge, box=(left, card_top, right, card_bottom), font_paths=font_paths
         )
 
-    return image
+    _draw_bottom_strip(draw)
+
+    return image.convert("RGB")
 
 
 def write_cover(path: Path, image: Image.Image | None = None) -> Path:
diff --git a/scripts/package_hf_release.py b/scripts/package_hf_release.py
index 3361492..d6fa1b6 100644
--- a/scripts/package_hf_release.py
+++ b/scripts/package_hf_release.py
@@ -395,6 +395,7 @@ class HuggingFaceCard:
     tags: tuple[str, ...]
     configs: tuple[ConfigEntry, ...]
     body: str
+    authors: tuple[str, ...] = ()
 
 
 # ---------------------------------------------------------------------------
@@ -545,6 +546,7 @@ def build_card(
     default_config: str = DEFAULT_DEFAULT_CONFIG,
     task: str = DEFAULT_TASK,
     body: str | None = None,
+    authors: Sequence[str] = ("shaypal5",),
 ) -> HuggingFaceCard:
     """Assemble a ``HuggingFaceCard`` from the release tree.
 
@@ -595,6 +597,7 @@ def build_card(
         tags=tuple(tags),
         configs=configs,
         body=body,
+        authors=tuple(authors),
     )
 
 
@@ -635,6 +638,7 @@ def _frontmatter_dict(card: HuggingFaceCard) -> dict[str, Any]:
     return {
         "pretty_name": card.pretty_name,
         "license": card.license,
+        **({"authors": list(card.authors)} if card.authors else {}),
         "language": list(card.language),
         "task_categories": list(card.task_categories),
         "size_categories": list(card.size_categories),
diff --git a/scripts/package_kaggle_release.py b/scripts/package_kaggle_release.py
index 520dcec..8db7c3a 100644
--- a/scripts/package_kaggle_release.py
+++ b/scripts/package_kaggle_release.py
@@ -292,6 +292,7 @@ class Resource:
     path: str
     description: str
     schema: ResourceSchema | None = None
+    name: str = ""  # if empty, _resource_to_dict derives a slug from path
 
 
 @dataclass(frozen=True)
@@ -597,6 +598,13 @@ def build_tier_resources(
 
     column_descriptions = load_relational_column_descriptions(release_dir)
 
+    # Build a (table_name, col_name) → description map for task-split Parquet files.
+    # Task splits carry the same snapshot-level columns as the flat CSV, so we
+    # re-key the feature dictionary under a synthetic table name "snapshot".
+    snapshot_col_descs: dict[tuple[str, str], str] = {
+        ("snapshot", col): fd.description for col, fd in feature_dict.items()
+    }
+
     resources: list[Resource] = []
 
     resources.append(
@@ -626,7 +634,13 @@ def build_tier_resources(
             Resource(
                 path=f"{tier}/tasks/{task}/{split}.parquet",
                 description=(f"{tier.capitalize()} tier {split} split for `{task}` ({rows_str})."),
-                schema=ResourceSchema(fields=fields_from_parquet(split_path)),
+                schema=ResourceSchema(
+                    fields=fields_from_parquet(
+                        split_path,
+                        column_descriptions=snapshot_col_descs,
+                        table_name="snapshot",
+                    )
+                ),
             )
         )
 
@@ -852,7 +866,13 @@ def _resource_to_dict(resource: Resource) -> dict[str, Any]:
     per-column documentation).
     """
 
+    name = resource.name or re.sub(
+        r"[^a-z0-9]+",
+        "_",
+        Path(resource.path).with_suffix("").as_posix().lower(),
+    ).strip("_")
     payload: dict[str, Any] = {
+        "name": name,
         "path": resource.path,
         "description": resource.description,
     }
diff --git a/tests/scripts/test_preview_kaggle_page.py b/tests/scripts/test_preview_kaggle_page.py
index 428fd6d..4673550 100644
--- a/tests/scripts/test_preview_kaggle_page.py
+++ b/tests/scripts/test_preview_kaggle_page.py
@@ -51,7 +51,12 @@
 # stopped firing.  The whitelist is intentionally narrow.
 _LINK_OK_PREFIXES = (
     "https://github.com/leadforge-dev/leadforge",
+    "https://github.com/shaypalachy",
     "https://huggingface.co/datasets/leadforge",
+    "https://huggingface.co/datasets/shaypal5",
+    "https://huggingface.co/shaypal5",
+    "https://www.kaggle.com/derelictpanda",
+    "https://www.shaypalachy.com/",
     "https://example.com",  # used by unit tests only
     "LICENSE",  # sibling-relative, resolves under the upload tree
     "#",  # in-document anchor (footnotes, etc.)
