Update queue export with content categorization

.gitattributes

@@ -60,3 +60,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
 train-00000.jsonl filter=lfs diff=lfs merge=lfs -text
 train-00001.jsonl filter=lfs diff=lfs merge=lfs -text
+train-00002.jsonl filter=lfs diff=lfs merge=lfs -text
+train-00003.jsonl filter=lfs diff=lfs merge=lfs -text
+train-00004.jsonl filter=lfs diff=lfs merge=lfs -text
+train-00005.jsonl filter=lfs diff=lfs merge=lfs -text
+train-00006.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -1,115 +1,122 @@
 ---
-dataset_info:
-  features:
-    - name: video_id
-      dtype: string
-    - name: title
-      dtype: string
-    - name: source
-      dtype: string
-    - name: url
-      dtype: string
-    - name: duration_seconds
-      dtype: int64
-    - name: status
-      dtype: string
-    - name: priority
-      dtype: int64
 license: mit
 task_categories:
   - automatic-speech-recognition
+  - text-generation
 language:
   - en
   - ru
-  - hi
-  - es
-  - pt
   - de
   - fr
+  - es
+  - pt
   - ja
   - ko
   - zh
-  - ar
-  - tr
-  - pl
 tags:
   - education
+  - lectures
   - youtube
-  - video-ids
   - queue
+  - metadata
 size_categories:
   - 1M<n<10M
 ---
 
 # Massive YouTube Educational Video Queue
 
-**1M+ curated educational YouTube video IDs** with metadata, quality-filtered and priority-scored. Use this to build your own transcription pipeline or educational content index.
-
-## Stats
-
-| Metric | Value |
-|--------|-------|
-| Total videos | 1,014,726 |
-| Pending transcription | ~920K |
-| Completed (transcripts in [sibling dataset](https://huggingface.co/datasets/thepowerfuldeez/massive-yt-edu-transcriptions)) | ~7K |
-| Languages | 15+ |
-
-## Priority System
-
-| Priority | Description | Count |
-|----------|-------------|-------|
-| P9 | University courses (MIT OCW, Stanford, NPTEL), academic conferences (NeurIPS, ICML) | ~20K |
-| P8 | Lectures, tutorials, known edu creators (3Blue1Brown, Khan Academy) | ~200K |
-| P7 | Documentaries, explainers, conference talks | ~5K |
-| P5 | General educational content passing quality filter | ~790K |
-
-## Quality Filtering Applied
-
-- **Duration gate**: All videos ≥15 minutes (deep educational content only)
-- **40+ reject categories**: Gaming, music videos, ASMR, vlogs, drama, pranks, mukbang, clickbait, conspiracy, sports highlights, etc.
-- **Deduplication**: UNIQUE constraint on video_id
-
-## Discovery Sources
-
-- YouTube search saturation (subject × language × modifier)
-- 140+ educational channel crawls
-- Related video chaining (exponential discovery)
-- Playlist walking
-- Multi-language queries (15+ languages)
-
-## Schema
-
-```python
-{
-    "video_id": "dQw4w9WgXcQ",
-    "title": "MIT 6.006 Lecture 1: Algorithms and Computation",
-    "source": "MIT OpenCourseWare",
-    "url": "https://youtube.com/watch?v=dQw4w9WgXcQ",
-    "duration_seconds": 3600,
-    "status": "pending",       # pending/completed/processing/error/rejected
-    "priority": 9
-}
-```
-
-## Usage
-
-```python
-from datasets import load_dataset
-
-ds = load_dataset("thepowerfuldeez/massive-yt-edu-queue")
-
-# Get high-priority university content
-university = ds["train"].filter(lambda x: x["priority"] >= 9)
-
-# Get pending videos for your own transcription
-pending = ds["train"].filter(lambda x: x["status"] == "pending")
-```
-
-## Related
-
-- **Transcriptions**: [thepowerfuldeez/massive-yt-edu-transcriptions](https://huggingface.co/datasets/thepowerfuldeez/massive-yt-edu-transcriptions) — completed transcripts (updated daily)
-- **Source code**: [github.com/thepowerfuldeez/massive_yt_edu_scraper](https://github.com/thepowerfuldeez/massive_yt_edu_scraper)
+Full metadata for 4,472,056 YouTube educational videos — the discovery queue for
+[massive-yt-edu-transcriptions](https://huggingface.co/datasets/thepowerfuldeez/massive-yt-edu-transcriptions).
+
+## Description
+
+This dataset contains metadata and content categorization for ~4.4M YouTube videos identified
+as potentially educational. Each video has been categorized by content source and license risk level.
+
+## Fields
+
+| Field | Description |
+|-------|-------------|
+| `video_id` | YouTube video ID |
+| `title` | Video title |
+| `url` | YouTube URL |
+| `duration_seconds` | Video duration (0 if unknown) |
+| `status` | Processing status (pending/completed/rejected/error) |
+| `priority` | Educational priority (9=university, 8=lecture, 7=doc, 5=default) |
+| `source` | Channel/university/course name |
+| `content_category` | Content category (see below) |
+| `license_risk` | License risk: green/yellow/orange/red |
+
+## Status Distribution
+
+| Status | Count |
+|--------|------:|
+| `pending` | 4,320,924 |
+| `rejected` | 92,122 |
+| `completed` | 57,663 |
+| `error` | 1,168 |
+| `timeout` | 102 |
+| `processing` | 36 |
+
+
+## Priority Distribution
+
+| Priority | Count |
+|----------|------:|
+| P9 | 20,117 |
+| P8 | 1,544,155 |
+| P7 | 11,765 |
+| P5 | 2,807,867 |
+| P4 | 9 |
+| P3 | 12 |
+| P0 | 88,111 |
+
+
+## Content Categories
+
+| Category | Count | % |
+|----------|------:|---:|
+| `unknown` | 3,429,002 | 76.7% |
+| `university_lecture` | 459,942 | 10.3% |
+| `coaching_test_prep` | 215,913 | 4.8% |
+| `conference` | 56,356 | 1.3% |
+| `gaming_entertainment` | 47,462 | 1.1% |
+| `corporate_talks` | 46,667 | 1.0% |
+| `religious` | 44,259 | 1.0% |
+| `university_ocw` | 36,614 | 0.8% |
+| `individual_creator` | 33,078 | 0.7% |
+| `tech_community` | 26,299 | 0.6% |
+| `non_english_edu` | 24,976 | 0.6% |
+| `government_public` | 18,808 | 0.4% |
+| `medical_health` | 10,766 | 0.2% |
+| `mooc_platform` | 10,464 | 0.2% |
+| `news_media` | 7,562 | 0.2% |
+| `public_media` | 3,565 | 0.1% |
+| `null` | 233 | 0.0% |
+
+
+## License Risk Distribution
+
+| Risk | Count | % |
+|------|------:|---:|
+| 🟡 `yellow` | 4,064,472 | 90.9% |
+| 🟠 `orange` | 304,377 | 6.8% |
+| 🟢 `green` | 55,422 | 1.2% |
+| 🔴 `red` | 47,462 | 1.1% |
+| ⚪ `null` | 269 | 0.0% |
+
+
+## License Risk Levels
+
+- 🟢 **green** — Known CC/public domain license (MIT OCW, Khan Academy, etc.)
+- 🟡 **yellow** — Likely fair use (educational/factual lectures)
+- 🟠 **orange** — Uncertain, needs review
+- 🔴 **red** — Risky (entertainment, copyrighted, non-educational)
+
+## Code
+
+[github.com/thepowerfuldeez/massive_yt_edu_scraper](https://github.com/thepowerfuldeez/massive_yt_edu_scraper)
 
 ## License
 
-MIT. Video metadata is derived from publicly available YouTube data.
+MIT — this metadata dataset. Individual video content has varying licenses as indicated by `license_risk`.

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