Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
match_id: string
demo: string
map: string
stage: string
candidates_considered: int64
window: string
demo_kills: int64
player: string
steamid: string
round_tick_end: int64
round_tick_start: int64
views: int64
confidence: string
tick_end: int64
explicit_kills: int64
clip_id: string
tick_start: int64
kill_ticks: list<item: int64>
child 0, item: int64
title: string
method: string
round: int64
to
{'clip_id': Value('string'), 'demo': Value('string'), 'match_id': Value('string'), 'steamid': Value('string'), 'player': Value('string'), 'round': Value('int64'), 'tick_start': Value('int64'), 'tick_end': Value('int64'), 'title': Value('string'), 'views': Value('int64'), 'explicit_kills': Value('int64'), 'demo_kills': Value('int64'), 'confidence': Value('string'), 'method': Value('string'), 'candidates_considered': Value('int64'), 'round_tick_start': Value('int64'), 'round_tick_end': Value('int64'), 'kill_ticks': List(Value('int64')), 'window': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
match_id: string
demo: string
map: string
stage: string
candidates_considered: int64
window: string
demo_kills: int64
player: string
steamid: string
round_tick_end: int64
round_tick_start: int64
views: int64
confidence: string
tick_end: int64
explicit_kills: int64
clip_id: string
tick_start: int64
kill_ticks: list<item: int64>
child 0, item: int64
title: string
method: string
round: int64
to
{'clip_id': Value('string'), 'demo': Value('string'), 'match_id': Value('string'), 'steamid': Value('string'), 'player': Value('string'), 'round': Value('int64'), 'tick_start': Value('int64'), 'tick_end': Value('int64'), 'title': Value('string'), 'views': Value('int64'), 'explicit_kills': Value('int64'), 'demo_kills': Value('int64'), 'confidence': Value('string'), 'method': Value('string'), 'candidates_considered': Value('int64'), 'round_tick_start': Value('int64'), 'round_tick_end': Value('int64'), 'kill_ticks': List(Value('int64')), 'window': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Shorts foundation staging (local, before HF sync)
Per matched Allstar clip, one folder under clips/<clip_id>/:
| File | Contents |
|---|---|
raw_allstar.json |
Verbatim Allstar clip payload + retrieval timestamp |
match.json |
Match id, demo path, map, stage |
alignment.json |
Demo path, round, SteamID, kill-anchored span (tick_start/tick_end) and round span (round_tick_start/round_tick_end), kill_ticks, explicit/demo kill counts, confidence, quarantine flags |
events.parquet |
Kill-anchored window rows: POV kills/deaths plus player_death, player_hurt, weapon_fire rows in-window (with all kill flags, damage, hitgroups) |
state.parquet |
In-window tick snapshots: SteamID, team, X/Y/Z, pitch/yaw, health, spotted, weapon-index. No armour/ammo/velocity/weapon strings yet (v2) |
Windows are kill-anchored ([first_kill-320, last_kill+128]); round scope is
preserved in alignment, full round data in _timelines/. No utility
trajectories, bomb-action tables, audio, or LOS measurements yet (v2 scope).
No inferred short categories — raw observations only. See QA_REPORT.md for
quarantines and known gaps. Sync with:
| los.parquet | LOS/engagement measurements (optional in v1; unknown, never assumed open) |
No inferred short categories here — raw observations only. Sync with:
python -m cs2archive.hf.sync_foundation_to_hf --dry-run
python -m cs2archive.hf.sync_foundation_to_hf
Quarantined alignments (quarantined: true) are synced as-is for audit but
are excluded from nomination/training/selection.
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