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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A repository of pretty cool datasets that I collected for network science and machine learning research.
| Date | Stars |
|---|---|
| 2026-07-31 | 654 |
| 2026-08-06 | 654 |
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# Datasets  [](https://github.com/benedekrozemberczki/datasets/archive/master.zip) [](https://twitter.com/intent/follow?screen_name=benrozemberczki)
Datasets collected for network science, graph mining, deep learning and general machine learning research.
<p align="center">
<img width="600" src="/images/field.png">
</p>
#### Contents
1. [Twitch Gamers](#twitch-gamers)
2. [LastFM Asia Social Network](#lastfm-asia-social-network)
3. [Deezer Europe Social Network](#deezer-europe-social-network)
4. [GitHub StarGazer Graphs](#github-stargazer-graphs)
5. [Twitch Ego Nets](#twitch-ego-nets)
6. [Reddit Thread Graphs](#reddit-thread-graphs)
7. [Deezer Ego Nets](#deezer-ego-nets)
8. [GitHub Social Network](#github-social-network)
9. [Deezer Social Networks](#deezer-social-networks)
10. [Facebook Page-Page Networks](#facebook-page-page-networks)
11. [Wikipedia Article Networks](#wikipedia-article-networks)
12. [Twitch Social Networks](#twitch-social-networks)
13. [Facebook Large Page-Page Network](#facebook-large-page-page-network)
## Twitch Gamers
<p align="center">
<img width="200" src="/images/twitch.png">
</p>
### Description
<p align="justify">
A social network of Twitch users collected from the public API in Spring 2018. Nodes are Twitch users and edges are mutual follower relationships between them. The graph forms a single strongly connected component without missing attributes. The machine learning tasks related to the graph are count data regression and node classification. There are 6 specific tasks:</p>
- Explicit content streamer identification.
- Broadcaster language prediction.
- User lifetime estimation.
- Churn prediction.
- Affiliate status identification.
- View count estimation.
### Links
- [Twitch Gamers](http://snap.stanford.edu/data/twitch_gamers.html)
### Properties
- **Directed:** No.
- **Node features:** No.
- **Edge features:** No.
- **Node labels:** Yes.
- **Temporal:** No.
| | **Twitch Gamers** |
|---|---|
| **Nodes** |168,114 |
| **Edges** | 6,797,557 |
| **Density** | 0.0005 |
| **Transitvity** | 0.0184|
### Possible tasks
- **Binary node classification**
- **Multi-class node classification**
- **Count data regression**
- **Link prediction**
- **Community detection**
- **Community detection with ground truth**
- **Network visualization**
### Citing
```bibtex
>@misc{rozemberczki2021twitch,
title = {Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings},
author = {Benedek Rozemberczki and Rik Sarkar},
year = {2021},
eprint = {2101.03091},
archivePrefix = {arXiv},
primaryClass = {cs.SI}
}
```
## LastFM Asia Social Network
<p align="center">
<img width="200" src="/images/lastfm.png">
</p>
### Description
<p align="justify">
A social network of LastFM users which was collected from the public API in March 2020. Nodes are LastFM users from Asian countries and edges are mutual follower relationships between them. The vertex features are extracted based on the artists liked by the users. The task related to the graph is multinomial node classification - one has to predict the location of users. This target feature was derived from the country field for each user. </p>
### Links
- [LastFM Asia Social Network](http://snap.stanford.edu/data/feather-lastfm-social.html)
### Properties
- **Directed:** No.
- **Node features:** Yes.
- **Edge features:** No.
- **Node labels:** Yes. Multinomial.
- **Temporal:** No.
| | **LastFM** |
|---|---|
| **Nodes** |7,624 |
| **Edges** | 27,806 |
| **Density** | 0.001 |
| **Transitvity** | 0.179 |
### Possible tasks
- **Multi-class node classification**
-Excerpt of 23,484 characters
Read on GitHubBenedek Rozemberczki · @google · United Kingdom
336
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b39b3b7f360a1702, topic:dataset, readme:dataset, name:datasets
matched fp:b39b3b7f360a1702, topic:benchmark