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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)
End of preview. Expand in Data Studio

🚧 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 preview

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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