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1M+ educational video queue with metadata
ee7f798 verified
---
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
language:
- en
- ru
- hi
- es
- pt
- de
- fr
- ja
- ko
- zh
- ar
- tr
- pl
tags:
- education
- youtube
- video-ids
- queue
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)
## License
MIT. Video metadata is derived from publicly available YouTube data.