Datasets:
Remove dataset contents per takedown notice from Valve
Browse filesdata/ and sample/ removed. Dataset card updated to reflect takedown and remove interactive viewer link.
This view is limited to 50 files because it contains too many changes. See raw diff
- README.md +6 -59
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README.md
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---
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license: cc-by-nc-4.0
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pretty_name: CS2-10k
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task_categories:
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tags:
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- counter-strike
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- cs2
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- imitation-learning
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- action-prediction
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- webdataset
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configs:
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data_files:
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path: data/*/*.tar
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---
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<p align="center">
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<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>
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</p>
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**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**.
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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.
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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.
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#
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Every video clip has its corresponding annotations stored in a `.parquet` file:
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| Field | Type | Description |
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| `map` | string | Map name (e.g. "mirage", "dust2") |
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| `round_number` | int | Round within the match |
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| `team` | int | 0 = Terrorist, 1 = Counter-Terrorist |
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| `num_frames` | int | Total frames in the clip |
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| `fps` | float | Video frame rate (48.0) |
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| `total_time` | float | Clip duration in seconds |
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| `fov` | float | Camera field of view (90.0°) |
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| `frame_data` | list[dict] | Per-frame annotation array (see below) |
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### Per-frame annotations
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| `actions` | Concatenated active keys: **W/A/S/D** (movement), **J** (jump), **C** (crouch), **R** (walk), **V** (freefall), **[** (fire), **]** (scope/secondary), **-** (no input) |
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| `mouse_x_delta` | Horizontal camera delta — proxy for mouse X movement |
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| `mouse_y_delta` | Vertical camera delta — proxy for mouse Y movement |
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| `position_x / y / z` | Player world position in game units |
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| `rotation_yaw` | Camera yaw angle (−180° to 180°) |
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| `rotation_pitch` | Camera pitch angle (−90° to 90°) |
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## License
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## Citation
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```bibtex
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@misc{cs2-10k,
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title = {CS2-10k: A Large-Scale Egocentric Counter-Strike 2 Dataset},
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author = {Reka AI},
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year = {2026},
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url = {https://huggingface.co/datasets/RekaAI/CS2-10k}
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}
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```
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---
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license: cc-by-nc-4.0
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pretty_name: CS2-10k
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tags:
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- counter-strike
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- cs2
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- imitation-learning
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- action-prediction
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- webdataset
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viewer: false
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---
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> **This dataset is no longer available due to a takedown notice from Valve.**
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# CS2-10k: A Large-Scale Egocentric Counter-Strike 2 Dataset
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**CS2-10k** was a large-scale egocentric gameplay dataset built from professional CS2 matches. It contained **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**.
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All data, the interactive viewer, and associated files have been removed from this repository in response to a takedown notice from Valve.
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## License
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This dataset was previously 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.
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