Datasets:
File size: 3,331 Bytes
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license: cc-by-nc-4.0
pretty_name: CS2-10k
task_categories:
- other
tags:
- counter-strike
- cs2
- gaming
- egocentric
- first-person
- video
- world-models
- imitation-learning
- action-prediction
- webdataset
size_categories:
- 100K<n<1M
configs:
- config_name: default
data_files:
- split: train
path: data/*/*.tar
---
# CS2-10k: A Large-Scale Egocentric Counter-Strike 2 Dataset
<p align="center">
<a href="https://huggingface.co/spaces/RekaAI/CS2-10k-viewer"><img src="https://huggingface.co/datasets/RekaAI/CS2-10k/resolve/main/viewer-banner.png" alt="Dataset Interactive Viewer"></a>
</p>
**CS2-10k** is a large-scale egocentric gameplay dataset built from professional CS2 matches. It contains **600,000+ player-round videos** spanning **10,000+ hours** of **first-person footage**, paired with **per-frame annotations** covering **keyboard state, mouse movement, and 3D player trajectory**.
CS2-10k is built from public professional match demos sourced from [HLTV](https://www.hltv.org/). For each demo, we render first-person video at **720p, 48 fps** using the demo replay tool inside CS2, producing one video per player per round. Alongside each video, we store a `.parquet` file containing per-frame annotations synchronized to the video timeline.
The dataset is published in [WebDataset](https://github.com/webdataset/webdataset) format: `~2 GB` tar shards under `data/<map>/`, where each sample is a `<uuid>.mp4` video paired with its `<uuid>.parquet` annotations. A top-level `index.parquet` lists every clip with its `shard` location for lookup and filtering.
### Annotation schema
Every video clip has its corresponding annotations stored in a `.parquet` file:
| Field | Type | Description |
|---|---|---|
| `map` | string | Map name (e.g. "mirage", "dust2") |
| `round_number` | int | Round within the match |
| `team` | int | 0 = Terrorist, 1 = Counter-Terrorist |
| `num_frames` | int | Total frames in the clip |
| `fps` | float | Video frame rate (48.0) |
| `total_time` | float | Clip duration in seconds |
| `fov` | float | Camera field of view (90.0°) |
| `frame_data` | list[dict] | Per-frame annotation array (see below) |
### Per-frame annotations
Each entry in `frame_data` contains:
| Field | Description |
|---|---|
| `actions` | Concatenated active keys: **W/A/S/D** (movement), **J** (jump), **C** (crouch), **R** (walk), **V** (freefall), **[** (fire), **]** (scope/secondary), **-** (no input) |
| `mouse_x_delta` | Horizontal camera delta — proxy for mouse X movement |
| `mouse_y_delta` | Vertical camera delta — proxy for mouse Y movement |
| `position_x / y / z` | Player world position in game units |
| `rotation_yaw` | Camera yaw angle (−180° to 180°) |
| `rotation_pitch` | Camera pitch angle (−90° to 90°) |
## License
Released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) (attribution, non-commercial). The underlying match demos are the property of their respective rights holders; this dataset is provided for research purposes.
## Citation
```bibtex
@misc{cs2-10k,
title = {CS2-10k: A Large-Scale Egocentric Counter-Strike 2 Dataset},
author = {Reka AI},
year = {2026},
url = {https://huggingface.co/datasets/RekaAI/CS2-10k}
}
```
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