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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowInvalid
Message: offset overflow while concatenating arrays
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1501, in _prepare_split_single
writer.write(example)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 682, in write
self.write_examples_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 655, in write_examples_on_file
self._write_batch(batch_examples=batch_examples)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 756, in _write_batch
self.write_table(pa_table, writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 772, in _write_table
pa_table = pa_table.combine_chunks()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 4557, in pyarrow.lib.Table.combine_chunks
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1514, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 783, in finalize
self.write_examples_on_file()
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 655, in write_examples_on_file
self._write_batch(batch_examples=batch_examples)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 756, in _write_batch
self.write_table(pa_table, writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 772, in _write_table
pa_table = pa_table.combine_chunks()
^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 4557, in pyarrow.lib.Table.combine_chunks
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays
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 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1345, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1523, 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.
json dict | actions.bin unknown | state.bin unknown | events.json dict | mp4 video | __key__ string | __url__ string |
|---|---|---|---|---|---|---|
{"actions_schema_version":9,"alive_duration_s":146.28125,"alive_end_frame":4681,"alive_end_tick":165(...TRUNCATED) | "+hsAAAAAAAAAAAAACAD8GwAAAFDzveA/bkAIAP4bAAAAaKK9wAVfQAkAABwAAAC4ob1As2tACQACHAAAAEjzvcBRhkAJAAQcAAA(...TRUNCATED) | "+hsAAICP4UAe5G3CiQTixKwigMQA/M/DBSYA/2RklgABAAEAAPwbAABAwt1AIABfwski4sR2NYDEAPzPwwUmAP9kZJYAAQABAAD(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p00 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) | |
{"actions_schema_version":9,"alive_duration_s":146.28125,"alive_end_frame":4681,"alive_end_tick":165(...TRUNCATED) | "+hsAAAAAAAAAAAAAAQD8GwAAAABhvQAA4bwBAP4bAAAAAAAAAAAAAAEAABwAAAAAAAAAAAAAAQACHAAAAMCoPQBwqT0BAAQcAAA(...TRUNCATED) | "+hsAAIC3VkCw/RrC5bvqxJcGdcQA/M/DBSYA/2RklgABAAEAAPwbAACAM1NA0BkbwiGg6sQtM3XEAPzPwwUmAP9kZJYAAQABAAD(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p01 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) | |
{"actions_schema_version":9,"alive_duration_s":92.890625,"alive_end_frame":2973,"alive_end_tick":131(...TRUNCATED) | "+hsAAAAAAAAAAAAAAQD8GwAAAAAAAAAAAAABAP4bAAAAAAAAAAAAAAEAABwAAAAAAAAAAAAAAQACHAAAAAAAAAAAAAABAAQcAAA(...TRUNCATED) | "+hsAAAB8GkH4PDPDUX0cRUgArMMA/K/DAAEA/2Rk7gIBAAAAAPwbAAAAfBpB+DwzwxdrHEU8AqzDAPyvwwABAP9kZO4CAQAAAAD(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p02 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) | |
{"actions_schema_version":9,"alive_duration_s":146.28125,"alive_end_frame":4681,"alive_end_tick":165(...TRUNCATED) | "+hsAAAAAAAAAAAAAgQD8GwAAAAAAAAAAAACBAP4bAAAAAAAAAAAAAIEAABwAAAAAAAAAAAAAgQACHAAAAAAAAAAAAACBAAQcAAA(...TRUNCATED) | "+hsAAABlrcFg8SXB0/rkxPMAkcQA/M/DBSYA/2RkigIBAAEAAPwbAAAAZa3BYPElwc/X5MRfB5HEAPzPwwUmAP9kZIoCAQABAAD(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p03 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) | |
{"actions_schema_version":9,"alive_duration_s":146.28125,"alive_end_frame":4681,"alive_end_tick":165(...TRUNCATED) | "+hsAAAAAAAAAAAAAiQD8GwAAAAAAAAAAAACJAP4bAAAAAOE8AAAAAAkAABwAAAAAAAAAAOE8AQACHAAAAAAAAAAAAAABAAQcAAA(...TRUNCATED) | "+hsAAMBRR8HAUBTAgfzhxMojiMQA/M/DAQQT/2RkAAABAAEAAfwbAADAUUfBwFAUwPPk4cRWPYjEAPzPwwEEE/9kZAAAAQABAAH(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p04 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) | |
{"actions_schema_version":9,"alive_duration_s":146.28125,"alive_end_frame":4681,"alive_end_tick":165(...TRUNCATED) | "+hsAAAAAAAAAAAAAgQD8GwAAAAAAAAAAAACBAP4bAAAAAAAAAAAAAIEAABwAAAAAAAAAAAAAgQACHAAAAAAAAAAAAACBAAQcAAA(...TRUNCATED) | "+hsAAIBgPcEAKDK/KlvzxJXDicQA/M/DAQkM/2RklgABAAEAAPwbAACAYD3BACgyv24488QDxInEAPzPwwEJDP9kZJYAAQABAAD(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p05 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) | |
{"actions_schema_version":9,"alive_duration_s":146.28125,"alive_end_frame":4681,"alive_end_tick":165(...TRUNCATED) | "+hsAAAAAAAAAAAAAAQD8GwAAAAAAAAAAAAABAP4bAAAAAGG9AAAAAAEAABwAAAB4qb0AAOG8AQACHAAAAABhvQAA4bwBAAQcAAA(...TRUNCATED) | "+hsAAGApK0GcNyzDV30fRegC1MMA/K/DAAEA/2RkMgABAAEAAPwbAABgKStBnDcsw0VrH0W4FtTDAPyvwwABAP9kZDIAAQABAAD(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p06 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) | |
{"actions_schema_version":9,"alive_duration_s":66.515625,"alive_end_frame":2129,"alive_end_tick":114(...TRUNCATED) | "+hsAAAAAAAAAAAAAAQD8GwAAAAAAAAAAAAABAP4bAAAAAAAAAAAAAAEAABwAAAAAAAAAAAAAAQACHAAAAAAAAAAAAAABAAQcAAA(...TRUNCATED) | "+hsAAMBK9EB4aw1D530hRZry+8MA/K/DAAEA/2QAXgEBAAAAAPwbAADASvRAeGsNQ6VvIUWol/vDAPyvwwABAP9kAF4BAQAAAAD(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p07 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) | |
{"actions_schema_version":9,"alive_duration_s":33.9375,"alive_end_frame":1086,"alive_end_tick":9334,(...TRUNCATED) | "+hsAAAAAAAAAAAAAAQD8GwAAAAAAAAAAAAABAP4bAAAAAAAAAAAAAAEAABwAAAAAAAAAAAAAAQACHAAAAJQlPgCabD8BAAQcAAA(...TRUNCATED) | "+hsAAKAZgkDoqQtD9P0cRRjy+8P+rqvDAAEA/2RkZAABAAAAAPwbAACgGYJA6KkLQw7wHEXAk/vD/q6rwwABAP9kZGQAAQAAAAD(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p08 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) | |
{"actions_schema_version":9,"alive_duration_s":34.625,"alive_end_frame":1108,"alive_end_tick":9378,"(...TRUNCATED) | "+hsAAAAAAAAAAAAAAQD8GwAAAAAAAAAAAAABAP4bAAAAAAAAAAAAAAEAABwAAAAAAAAAAAAAAQACHAAAAAAAAAAAAAABAAQcAAA(...TRUNCATED) | "+hsAAACrkEBI4y3DVI0hRUoCrMMA/K/DAAEA/2RkZAABAAEAAPwbAAAAq5BASOMtwzJ7IUXaEazDAPyvwwABAP9kZGQAAQABAAD(...TRUNCATED) | {"events":[{"attacker_pov":null,"by_pov":null,"defindex":null,"frame_idx":0,"headshot":null,"item":n(...TRUNCATED) | match_008a5aa86366__r001__p09 | "hf://datasets/ArnieRamesh/CounterStrike-1K-720-wds@b9782277f018177f5e1f601c555fd2e8df671319/shards-(...TRUNCATED) |
End of preview.
CounterStrike-1K — 720p WebDataset shards
This repo contains the 720p shards of CounterStrike-1K. Use the main repo to browse the manifest, schema, and subsets.
Quickstart
Start a fresh uv project and add the loader:
mkdir cs1k-demo && cd cs1k-demo
uv init
uv add datasets "counterstrike1k @ git+https://github.com/AnirudhhRamesh/counterstrike1k"
Using pip instead
mkdir cs1k-demo && cd cs1k-demo
python -m venv .venv && source .venv/bin/activate
pip install datasets "counterstrike1k @ git+https://github.com/AnirudhhRamesh/counterstrike1k"
from datasets import Video, load_dataset
from counterstrike1k import decode_sample
shards = load_dataset(
"ArnieRamesh/CounterStrike-1K-720-wds", split="train", streaming=True,
).cast_column("mp4", Video(decode=False))
sample = decode_sample(next(iter(shards)))
print(sample["actions"].shape, sample["state"].shape, len(sample["video"]))
decode_sample(...) returns:
video: mp4 bytes (H.264 + AAC, 1280×720 @ 32 FPS, synchronized stereo audio)actions: structured numpy array (per-frametick,delta_pitch,delta_yaw, 12-button bitmask)state: structured numpy array (per-frame view, position, weapon, ammo, HP, money, score, …)events: list of sparse round/kill/bomb eventsmetadata: public sample metadata sidecar
Size
- 396 shards, ~1.5 TB total
- One round = 10 synchronized POV samples sharing a
round_id - Splits (in
manifest.parquetfrom the main repo): 1,341.7 / 74.5 / 74.5 POV-hours train/val/test
Filtering by subset
Most users want a smaller training run. Filter the manifest first, then stream only the matching shards:
from datasets import Video, load_dataset
import pandas as pd
from huggingface_hub import hf_hub_download
manifest = pd.read_parquet(hf_hub_download(
"ArnieRamesh/CounterStrike-1K", "manifest.parquet", repo_type="dataset",
))
keys = set(manifest[manifest["split"] == "train"]["sample_key"])
shards = load_dataset(
"ArnieRamesh/CounterStrike-1K-720-wds", split="train", streaming=True,
).cast_column("mp4", Video(decode=False))
for raw in shards:
if raw["__key__"] in keys:
sample = decode_sample(raw)
# ... use sample
License & citation
CC BY-NC 4.0. Citation in the main dataset card.
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