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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1520, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 130, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 34, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1382, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1560, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
mp4 video | parquet unknown | __key__ string | __url__ string |
|---|---|---|---|
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... | e2b76e59-ec3e-4652-a20a-2bf4b6512565 | hf://datasets/RekaAI/CS2-10k@5bff96ad139daec3b83a42590a024a7f6cff8cf7/data/ancient/ancient-000000.tar | |
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51... | fcedbdb2-385e-4d5d-83e1-b2e334db1cd4 | hf://datasets/RekaAI/CS2-10k@5bff96ad139daec3b83a42590a024a7f6cff8cf7/data/ancient/ancient-000000.tar | |
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End of preview.
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.
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.
The dataset is published in 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 (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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