| --- |
| 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 |
| size_categories: |
| - 100K<n<1M |
| viewer: false |
| --- |
| |
| > 🚧 **Coming soon.** The full dataset is currently being uploaded and will appear here over the coming days. A browsable **[sample subset](#sample-subset)** (3 full matches) is already available — explore it in the **[live viewer](https://huggingface.co/spaces/RekaAI/CS2-10k-viewer)**. In the meantime, see the open-source [rendering pipeline](https://github.com/reka-ai/cs2-dem-renderer). |
|
|
| # CS2-10k: A Large-Scale Egocentric Counter-Strike 2 Dataset |
|
|
|  |
|
|
| **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**. |
|
|
| 🎮 **[Explore the dataset in the interactive viewer →](https://huggingface.co/spaces/RekaAI/CS2-10k-viewer)** — synchronized video and action playback, right in your browser. |
|
|
| ## Dataset Overview |
|
|
| 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. |
|
|
| ### 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} |
| } |
| ``` |
|
|
