Datasets:

thepowerfuldeez
/

massive-yt-edu-queue

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)	~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

{
    "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

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")

Transcriptions: thepowerfuldeez/massive-yt-edu-transcriptions — completed transcripts (updated daily)
Source code: github.com/thepowerfuldeez/massive_yt_edu_scraper

License

MIT. Video metadata is derived from publicly available YouTube data.