video_filename large_string | match_id large_string | map large_string | player_index int64 | round_number int32 | team uint32 | num_frames int32 | fps float32 | aspect_ratio float32 | width int32 | height int32 | total_time float32 | category large_string | fov float32 | frame_data list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
001372c1-3fef-4ed4-9a6e-8e2df71fa993.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 2 | 21 | 1 | 1,150 | 48 | 1.777778 | 1,280 | 720 | 23.984375 | gaming | 90 | [{"actions":"WA","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_(...TRUNCATED) |
0122575c-8b70-4950-b896-b10d3896c0d7.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 1 | 5 | 1 | 1,419 | 48 | 1.777778 | 1,280 | 720 | 29.578125 | gaming | 90 | [{"actions":"WD","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_(...TRUNCATED) |
013d8ae1-7140-4c9b-9161-b43bd6808cce.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 1 | 21 | 1 | 1,233 | 48 | 1.777778 | 1,280 | 720 | 25.703125 | gaming | 90 | [{"actions":"WD","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_(...TRUNCATED) |
04ff85d9-9bbb-409a-901a-259f8a5bff1d.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 7 | 3 | 0 | 1,557 | 48 | 1.777778 | 1,280 | 720 | 32.46875 | gaming | 90 | [{"actions":"-","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_x(...TRUNCATED) |
05665ed7-4577-4b14-84de-ffcfcfaffb49.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 8 | 29 | 1 | 3,972 | 48 | 1.777778 | 1,280 | 720 | 82.75 | gaming | 90 | [{"actions":"W","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_x(...TRUNCATED) |
0590dd71-eb1a-4c72-b912-2fa91408d62f.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 4 | 27 | 1 | 3,013 | 48 | 1.777778 | 1,280 | 720 | 62.796875 | gaming | 90 | [{"actions":"W","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_x(...TRUNCATED) |
091e68df-3429-44cb-90c1-e2465d0892a7.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 3 | 9 | 1 | 3,841 | 48 | 1.777778 | 1,280 | 720 | 80.046875 | gaming | 90 | [{"actions":"R[","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_(...TRUNCATED) |
0dc44cb7-1170-44e0-9505-b57ccbdb621a.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 1 | 11 | 1 | 883 | 48 | 1.777778 | 1,280 | 720 | 18.40625 | gaming | 90 | [{"actions":"WD","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_(...TRUNCATED) |
10ad170e-a0f1-4edc-97b2-2cfb7ade781c.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 9 | 7 | 0 | 6,348 | 48 | 1.777778 | 1,280 | 720 | 132.265625 | gaming | 90 | [{"actions":"W","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_x(...TRUNCATED) |
11c69749-75c9-4372-a22a-b323e4d46d8e.mp4 | 54221c77-e5a3-58f5-a29b-da0b2f8ae458 | ancient | 8 | 27 | 1 | 3,521 | 48 | 1.777778 | 1,280 | 720 | 73.34375 | gaming | 90 | [{"actions":"W","mouse_x_delta":0.0,"mouse_y_delta":0.0,"camera_extrinsics_defined":true,"position_x(...TRUNCATED) |
🚧 Coming soon. The full dataset is currently being uploaded and will appear here over the coming days. A browsable sample subset (3 full matches) is already available — explore it in the live viewer. In the meantime, see the open-source rendering pipeline.
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 → — synchronized video and action playback, right in your browser.
Dataset Overview
CS2-10k is built from public professional match demos sourced from HLTV. 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 (attribution, non-commercial). The underlying match demos are the property of their respective rights holders; this dataset is provided for research purposes.
Citation
@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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