Datasets:
video_id
stringlengths 11
34
| title
stringlengths 0
128
| source
stringlengths 0
48
| url
stringlengths 0
43
| duration_seconds
int64 0
1.21M
| status
stringclasses 6
values | priority
int64 3
9
|
|---|---|---|---|---|---|---|
zaMcHuJwe1w
|
Lec 16. Generative Models: Conditional Models
| 4,891
|
completed
| 9
|
||
8zzfcYIELdo
|
Lec 15. Generative Models: Representation Learning Meets Generative Modeling
| 4,839
|
completed
| 9
|
||
bxVkZ4M-hIE
|
Lec 04. Architectures: Grids
| 5,036
|
completed
| 9
|
||
vidCX_dMCu0
|
Lec 02. How to Train a Neural Net
| 4,773
|
completed
| 9
|
||
7hbf4klU3ks
|
Lec 20. Scaling Laws
| 2,302
|
completed
| 9
|
||
-eC0-5mXHQg
|
Lec 13. Representation Learning: Theory
| 4,520
|
completed
| 9
|
||
IiHknRHA-Gk
|
Lec 10. Architectures: Memory
| 4,407
|
completed
| 9
|
||
QxOzQRtd440
|
Lec 11. Representation Learning: Reconstruction-Based
| 4,863
|
completed
| 9
|
||
hJlrAHqGOS8
|
Lec 14. Generative Models: Basics
| 4,877
|
completed
| 9
|
||
ySaoWrv3T_Q
|
Lec 03. Approximation Theory
| 4,961
|
completed
| 9
|
||
yUh1fEGGdl4
|
Lec 12. Representation Learning: Similarity-Based
| 4,579
|
completed
| 9
|
||
RUdQMHV-7KM
|
Lec 19. Transfer Learning: Data
| 4,543
|
completed
| 9
|
||
zBvsoxC6tAo
|
Lec 23. Metrized Deep Learning
| 4,069
|
completed
| 9
|
||
VcGPE4s_oNw
|
Lec 07. Scaling Rules for Optimization
| 4,855
|
completed
| 9
|
||
9GWd3SAWLbA
|
Lec 21. Language Models
| 4,642
|
completed
| 9
|
||
Q1HOKrNeh2M
|
Lec 08. Architectures: Transformers
| 4,474
|
completed
| 9
|
||
EiO8BBa-xdc
|
Lec 06. Generalization Theory
| 4,830
|
completed
| 9
|
||
tNfuZ9Imt3M
|
Lec 18. Transfer Learning: Models
| 5,140
|
completed
| 9
|
||
DIgqgbsg2dw
|
Lecture 08: Local Public Goods and Fiscal Federalism
| 4,857
|
completed
| 9
|
||
v9-U8AoDsOY
|
Lecture 04: Externalities in Practice II
| 4,514
|
completed
| 9
|
||
dL7bXIUKzyg
|
Lecture 15: Health Care III, Redistribution
| 4,647
|
completed
| 9
|
||
Jp8JNHPP7MA
|
Lecture 14: Health Care II
| 4,755
|
completed
| 9
|
||
tRxe4Pi8prU
|
Lecture 11: Social Security
| 4,637
|
completed
| 9
|
||
84uJc4N_LAg
|
Lecture 07: Political Economy
| 4,574
|
completed
| 9
|
||
SEQpTtfAhFA
|
Lecture 03: Externalities in Theory & Practice
| 4,441
|
completed
| 9
|
||
LGwL42cUHC4
|
Lecture 05: Public Goods Theory, Optimality, and Pricing
| 4,734
|
completed
| 9
|
||
ryLF3uQ0W8g
|
Lecture 22: Wealth Taxation
| 4,719
|
completed
| 9
|
||
IB4J0K-Z7aA
|
Lecture 17: Redistribution and Welfare, Taxation Overview
| 4,578
|
completed
| 9
|
||
bmpZwTUbjjI
|
Lecture 02: Externalities in Theory
| 4,632
|
completed
| 9
|
||
_PpVlwIeYpg
|
Lecture 18: Overview of Taxation and Tax Base, Tax Incidence
| 4,695
|
completed
| 9
|
||
HrNxI5KqqiQ
|
Lecture 10: Social Insurance Theory
| 4,701
|
completed
| 9
|
||
NdVGXQnAGi0
|
Lecture 24: Corporate Taxation and Tax Reform
| 3,568
|
completed
| 9
|
||
924DTd14d0w
|
Lecture 06: Cost/Benefit Analysis
| 4,625
|
completed
| 9
|
||
f5gzll6Bs-A
|
Lecture 19: Tax Incidence and Tax Efficiency
| 4,703
|
completed
| 9
|
||
O9CqPO9B6vg
|
Lecture 13: Health Care I
| 4,674
|
completed
| 9
|
||
GtVwgui6qAg
|
Lecture 21: Taxation and Savings
| 4,182
|
completed
| 9
|
||
i30jbbk7yoQ
|
Lecture 01: Why Study Public Finance?
| 3,198
|
completed
| 9
|
||
_WSXIj-goO4
|
Lecture 23: Corporate Taxation
| 4,405
|
completed
| 9
|
||
XJAz8eHes7g
|
Lecture 16: Redistribution and Welfare Policy
| 4,652
|
completed
| 9
|
||
cK2wOO_o4qk
|
Lecture 12: Other Social Insurance Programs
| 4,626
|
completed
| 9
|
||
v-ecwhrXsJ0
|
Lecture 09: Public Provision of Private Goods: Education
| 4,447
|
completed
| 9
|
||
9ZsLKIlEANc
|
Lecture 20: Taxation and Labor Supply
| 4,396
|
completed
| 9
|
||
4OpiI5NLjIE
|
Lecture 16: Data Compression and Shannon’s Noiseless Coding Theorem
| 4,129
|
completed
| 9
|
||
JNSyyOAeMOc
|
Lecture 7: Generating Functions for Catalan Numbers
| 4,308
|
completed
| 9
|
||
cqPcQ3QqYnE
|
Lecture 3: Inclusion-Exclusion
| 4,768
|
completed
| 9
|
||
zZN1A0Ufb8E
|
Lecture 17: Huffman Coding
| 4,678
|
completed
| 9
|
||
hUtdHAeyY6Y
|
Lecture 11: Basic Group Theory
| 4,523
|
completed
| 9
|
||
OapnQzIDBM0
|
Lecture 20: Reed-Solomon Codes
| 3,946
|
completed
| 9
|
||
FPj3OOM6DEc
|
Lecture 9: Chernoff Bounds
| 3,317
|
completed
| 9
|
||
oyVZ3rao6M4
|
Lecture 13: Duality in Linear Programming
| 4,571
|
completed
| 9
|
||
kWsJ_JDuFaI
|
Lecture 18: Transmitting Information Reliably over a Noisy Channel & Shannon’s Noisy Coding Theorem
| 4,340
|
completed
| 9
|
||
o6blhvYXfq4
|
Lecture 14: Zero-Sum Games
| 4,457
|
completed
| 9
|
||
pX-HnYwO454
|
Lecture 15: Max-Flow Min-Cut Theorem
| 4,671
|
completed
| 9
|
||
DxpSDeG7lL4
|
Lecture 2: Independence and Conditioning
| 4,257
|
completed
| 9
|
||
HpQUVd1MGso
|
Lecture 5: More Counting and Generating Functions
| 4,304
|
completed
| 9
|
||
XfRe9i3FR1U
|
Lecture 6: More on Generating Functions
| 4,793
|
completed
| 9
|
||
HC54KcgvReg
|
Lecture 8: Tail Bounds
| 4,852
|
completed
| 9
|
||
N81pBt3KUWI
|
Lecture 19: Error-Correcting Codes—Hamming Codes
| 4,710
|
completed
| 9
|
||
wkmDtvO222A
|
Lecture 10: Modular Arithmetic
| 4,729
|
completed
| 9
|
||
qKNkP6IfjvY
|
Lecture 12: Introduction to Linear Programming
| 4,443
|
completed
| 9
|
||
Z1zgrgstVAw
|
Lecture 1: Pigeonhole Principle
| 4,426
|
completed
| 9
|
||
H-Ix7gIt9i4
|
Lecture 4: Counting
| 4,705
|
completed
| 9
|
||
8XrYjnDHmE4
|
Lecture 20: Building the First Federally (CFTC) Regulated Exchange Dedicated to Trading on Events
| 2,676
|
completed
| 9
|
||
o7OnkMdmjLg
|
Lecture 13: Portfolio Management
| 4,887
|
completed
| 9
|
||
VM29JyI1sio
|
Lecture 14: Stochastic Processes II
| 4,835
|
completed
| 9
|
||
mtXTs2U1uMA
|
Lecture 4: Linear Algebra (cont.); Probability Theory
| 4,884
|
completed
| 9
|
||
kTsieIl_YBA
|
Lecture 23: Introduction to Machine Learning
| 4,580
|
completed
| 9
|
||
2UCHztlWuZg
|
Lecture 21: Black-Scholes Formula, Risk Neutral Valuation
| 4,772
|
completed
| 9
|
||
0uimNNIuUyY
|
Lecture 2: Linear Algebra
| 4,875
|
completed
| 9
|
||
cMF_c2WNPyU
|
Lecture 8: Regression Analysis (cont.)
| 4,664
|
completed
| 9
|
||
5cruqmIF6l0
|
Lecture 24: Stochastic Calculus
| 4,969
|
completed
| 9
|
||
CechARGinR4
|
Lecture 9: Principal Component Analysis in Finance
| 4,993
|
completed
| 9
|
||
RvXwSoGDYvg
|
Lecture 7: Linear Rates, Products, and Models
| 4,779
|
completed
| 9
|
||
VbtXo62ROC4
|
Lecture 10: Counterparty Risk Optimization
| 4,882
|
completed
| 9
|
||
qlytPllimpQ
|
Lecture 12: Time Series Analysis
| 4,831
|
completed
| 9
|
||
yIn8Y_CSwPk
|
Lecture 6: Stochastic Processes I (cont.); Regression Analysis
| 4,795
|
completed
| 9
|
||
RruxdEjIvv0
|
Lecture 11: Regression Analysis (cont.)
| 4,962
|
completed
| 9
|
||
wMGEKMHsOKE
|
Lecture 5: Probability Theory (cont.); Stochastic Processes I
| 4,810
|
completed
| 9
|
||
zapp8smQKhg
|
Lecture 19: Volatility Modeling
| 4,937
|
completed
| 9
|
||
H4V29wkHYb4
|
Lecture 25: Stochastic Calculus (cont.); Stochastic Differential Equations
| 4,837
|
completed
| 9
|
||
_e2nDnV7FQs
|
Lecture 18: Applying Data Science and Artificial Intelligence to Managing Biomedical Portfolios
| 4,859
|
completed
| 9
|
||
sEZHGMV2LiI
|
Lecture 02: Fundamental Methods of Projection Theory
| 4,798
|
completed
| 9
|
||
Uz7aJtbfqkU
|
Lecture 11: Contagious Structure in Projection Theory
| 4,636
|
completed
| 9
|
||
DGBuM5pEdoo
|
Lecture 13: The Balog-Szemeredi-Gowers Theorem
| 4,484
|
completed
| 9
|
||
lvdIUKULiak
|
Lecture 09: Reflections on the Szemeredi-Trotter Theorem
| 4,616
|
completed
| 9
|
||
X-4how4KkPQ
|
Lecture 04: The Fourier Method in Euclidean Space
| 4,791
|
completed
| 9
|
||
hBG7nMXTOcw
|
Lecture 22: Sharp Projection Theorems, Part 1: Introduction and Beck's Theorem.
| 4,704
|
completed
| 9
|
||
I6ZSrgxiofs
|
Lecture 23: Sharp Projection Theorems, Part 2: AD Regular Case
| 4,886
|
completed
| 9
|
||
1A1kWkxK3QY
|
Lecture 01: Introduction to Projection Theory
| 4,705
|
completed
| 9
|
||
1lql9PGvLG4
|
Lecture 15: The Bourgain Projection Theorem, Part 2
| 4,646
|
completed
| 9
|
||
OAI8C20E7R4
|
Lecture 03: Projection Theory in Euclidean Space
| 4,796
|
completed
| 9
|
||
i5lpHaGpeaI
|
Lecture 05: The Large Sieve
| 4,709
|
completed
| 9
|
||
rChKr66KG-c
|
Lecture 20: Homogeneous Dynamics, Part 1
| 4,840
|
completed
| 9
|
||
-UJgxLaFzfM
|
Lecture 07: Applications of the Large Sieve to Number Theory
| 4,805
|
completed
| 9
|
||
VCOrx2jEKXk
|
Lecture 10: Sum-Product Theory
| 4,629
|
completed
| 9
|
||
h0Ln82BR4R0
|
Lecture 24: Sharp Projection Theorems, Part 3: Combining Different Scales
| 4,644
|
completed
| 9
|
||
bBzcaYNAfcI
|
Lecture 19: Random Walks on Finite Groups, Part 3
| 4,991
|
completed
| 9
|
||
_jSFwF8rMdY
|
Lecture 18: Random Walks on Finite Groups, Part 2
| 4,614
|
completed
| 9
|
||
85YISwhp7MQ
|
Lecture 16: The Bourgain Projection Theorem, Part 3
| 4,785
|
completed
| 9
|
||
0UYCJ0cjG9k
|
Lecture 14: The Bourgain Projection Theorem Part 1 (over the Real Numbers)
| 4,830
|
completed
| 9
|
End of preview. Expand
in Data Studio
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")
Related
- 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.
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