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
clip_id: string
case_index: int64
dataset: string
game_id: string
game: string
record_id: string
video: string
input_file: string
start_s: double
end_s: double
duration_s: double
start_time: string
end_time: string
input_trace: list<item: struct<start_s: double, end_s: double, key: string, quality: string, source_start_s: doub (... 53 chars omitted)
child 0, item: struct<start_s: double, end_s: double, key: string, quality: string, source_start_s: double, source_ (... 41 chars omitted)
child 0, start_s: double
child 1, end_s: double
child 2, key: string
child 3, quality: string
child 4, source_start_s: double
child 5, source_end_s: double
child 6, pressed_before_clip: bool
action_keys: list<item: string>
child 0, item: string
all_recorded_keys: list<item: string>
child 0, item: string
input_presses: int64
candidate_score: int64
source_text: list<item: null>
child 0, item: null
evidence_level: string
timebase: string
provenance: struct<source_repo: string, source_revision: string, video_bytes: int64, input_sha256: string, timeb (... 158 chars omitted)
child 0, source_repo: string
child 1, source_revision: string
child 2, video_bytes: int64
child 3, input_sha256: string
child 4, timebase: string
child 5, time_precision: string
child 6, file_start_markers: list<item: struct<frame: int64, video_ts_ns: string>>
child 0, item: struct<frame: int64, video_ts_ns: string>
child 0, frame: int64
chi
...
child 20, timebase: string
child 21, provenance: struct<source_repo: string, source_revision: string, video_bytes: int64, input_sha256: string, timeb (... 161 chars omitted)
child 0, source_repo: string
child 1, source_revision: string
child 2, video_bytes: int64
child 3, input_sha256: string
child 4, timebase: string
child 5, time_precision: string
child 6, file_start_markers: list<item: struct<frame: int64, video_ts_ns: string>>
child 0, item: struct<frame: int64, video_ts_ns: string>
child 0, frame: int64
child 1, video_ts_ns: string
child 7, annotation_fps: double
child 8, annotation_frames: int64
child 22, sample_seed: string
child 23, sample_method: string
child 24, input_trace_scope: string
child 25, output_bytes: int64
child 26, output_sha256: string
child 27, output_frames: int64
child 28, output_fps: int64
child 29, output_width: int64
child 30, output_height: int64
child 31, visual_reviewed: bool
child 32, subtitle_status: string
child 33, hud_status: string
child 34, visible_action_outcome: string
child 35, visual_model_calls: int64
child 36, gallery_video_exported: bool
child 37, clip_url: string
child 38, poster_url: string
child 39, metadata_url: string
status: string
cases_per_game: int64
gallery_target: int64
to
{'generated_at': Value('timestamp[s]'), 'status': Value('string'), 'mode': Value('string'), 'sample_seed': Value('string'), 'manifest_candidates': Value('int64'), 'manifest_updated_at': Value('timestamp[s]'), 'gallery_total': Value('int64'), 'gallery_target': Value('int64'), 'cases_per_game': Value('int64'), 'visual_reviewed': Value('bool'), 'visual_model_calls': Value('int64'), 'sampling_description': Value('string'), 'games': List({'id': Value('string'), 'name': Value('string'), 'english': Value('string'), 'cases': Value('int64'), 'target': Value('int64'), 'available': Value('int64'), 'recordings_sampled': Value('int64'), 'empty_reason': Value('string')}), 'clips': List({'clip_id': Value('string'), 'case_index': Value('int64'), 'dataset': Value('string'), 'game_id': Value('string'), 'game': Value('string'), 'record_id': Value('string'), 'video': Value('string'), 'input_file': Value('string'), 'start_s': Value('float64'), 'end_s': Value('float64'), 'duration_s': Value('float64'), 'start_time': Value('string'), 'end_time': Value('string'), 'input_trace': List({'start_s': Value('float64'), 'end_s': Value('float64'), 'key': Value('string'), 'quality': Value('string'), 'source_start_s': Value('float64'), 'source_end_s': Value('float64'), 'pressed_before_clip': Value('bool')}), 'action_keys': List(Value('string')), 'all_recorded_keys': List(Value('string')), 'input_presses': Value('int64'), 'candidate_score': Value('int64'), 'source_text': List(Value('null')), 'evidence_level': Value('string'), 'timebase': Value('string'), 'provenance': {'source_repo': Value('string'), 'source_revision': Value('string'), 'video_bytes': Value('int64'), 'input_sha256': Value('string'), 'timebase': Value('string'), 'time_precision': Value('string'), 'file_start_markers': List({'frame': Value('int64'), 'video_ts_ns': Value('string')}), 'annotation_fps': Value('float64'), 'annotation_frames': Value('int64')}, 'sample_seed': Value('string'), 'sample_method': Value('string'), 'input_trace_scope': Value('string'), 'output_bytes': Value('int64'), 'output_sha256': Value('string'), 'output_frames': Value('int64'), 'output_fps': Value('int64'), 'output_width': Value('int64'), 'output_height': Value('int64'), 'visual_reviewed': Value('bool'), 'subtitle_status': Value('string'), 'hud_status': Value('string'), 'visible_action_outcome': Value('string'), 'visual_model_calls': Value('int64'), 'gallery_video_exported': Value('bool'), 'clip_url': Value('string'), 'poster_url': Value('string'), 'metadata_url': 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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
clip_id: string
case_index: int64
dataset: string
game_id: string
game: string
record_id: string
video: string
input_file: string
start_s: double
end_s: double
duration_s: double
start_time: string
end_time: string
input_trace: list<item: struct<start_s: double, end_s: double, key: string, quality: string, source_start_s: doub (... 53 chars omitted)
child 0, item: struct<start_s: double, end_s: double, key: string, quality: string, source_start_s: double, source_ (... 41 chars omitted)
child 0, start_s: double
child 1, end_s: double
child 2, key: string
child 3, quality: string
child 4, source_start_s: double
child 5, source_end_s: double
child 6, pressed_before_clip: bool
action_keys: list<item: string>
child 0, item: string
all_recorded_keys: list<item: string>
child 0, item: string
input_presses: int64
candidate_score: int64
source_text: list<item: null>
child 0, item: null
evidence_level: string
timebase: string
provenance: struct<source_repo: string, source_revision: string, video_bytes: int64, input_sha256: string, timeb (... 158 chars omitted)
child 0, source_repo: string
child 1, source_revision: string
child 2, video_bytes: int64
child 3, input_sha256: string
child 4, timebase: string
child 5, time_precision: string
child 6, file_start_markers: list<item: struct<frame: int64, video_ts_ns: string>>
child 0, item: struct<frame: int64, video_ts_ns: string>
child 0, frame: int64
chi
...
child 20, timebase: string
child 21, provenance: struct<source_repo: string, source_revision: string, video_bytes: int64, input_sha256: string, timeb (... 161 chars omitted)
child 0, source_repo: string
child 1, source_revision: string
child 2, video_bytes: int64
child 3, input_sha256: string
child 4, timebase: string
child 5, time_precision: string
child 6, file_start_markers: list<item: struct<frame: int64, video_ts_ns: string>>
child 0, item: struct<frame: int64, video_ts_ns: string>
child 0, frame: int64
child 1, video_ts_ns: string
child 7, annotation_fps: double
child 8, annotation_frames: int64
child 22, sample_seed: string
child 23, sample_method: string
child 24, input_trace_scope: string
child 25, output_bytes: int64
child 26, output_sha256: string
child 27, output_frames: int64
child 28, output_fps: int64
child 29, output_width: int64
child 30, output_height: int64
child 31, visual_reviewed: bool
child 32, subtitle_status: string
child 33, hud_status: string
child 34, visible_action_outcome: string
child 35, visual_model_calls: int64
child 36, gallery_video_exported: bool
child 37, clip_url: string
child 38, poster_url: string
child 39, metadata_url: string
status: string
cases_per_game: int64
gallery_target: int64
to
{'generated_at': Value('timestamp[s]'), 'status': Value('string'), 'mode': Value('string'), 'sample_seed': Value('string'), 'manifest_candidates': Value('int64'), 'manifest_updated_at': Value('timestamp[s]'), 'gallery_total': Value('int64'), 'gallery_target': Value('int64'), 'cases_per_game': Value('int64'), 'visual_reviewed': Value('bool'), 'visual_model_calls': Value('int64'), 'sampling_description': Value('string'), 'games': List({'id': Value('string'), 'name': Value('string'), 'english': Value('string'), 'cases': Value('int64'), 'target': Value('int64'), 'available': Value('int64'), 'recordings_sampled': Value('int64'), 'empty_reason': Value('string')}), 'clips': List({'clip_id': Value('string'), 'case_index': Value('int64'), 'dataset': Value('string'), 'game_id': Value('string'), 'game': Value('string'), 'record_id': Value('string'), 'video': Value('string'), 'input_file': Value('string'), 'start_s': Value('float64'), 'end_s': Value('float64'), 'duration_s': Value('float64'), 'start_time': Value('string'), 'end_time': Value('string'), 'input_trace': List({'start_s': Value('float64'), 'end_s': Value('float64'), 'key': Value('string'), 'quality': Value('string'), 'source_start_s': Value('float64'), 'source_end_s': Value('float64'), 'pressed_before_clip': Value('bool')}), 'action_keys': List(Value('string')), 'all_recorded_keys': List(Value('string')), 'input_presses': Value('int64'), 'candidate_score': Value('int64'), 'source_text': List(Value('null')), 'evidence_level': Value('string'), 'timebase': Value('string'), 'provenance': {'source_repo': Value('string'), 'source_revision': Value('string'), 'video_bytes': Value('int64'), 'input_sha256': Value('string'), 'timebase': Value('string'), 'time_precision': Value('string'), 'file_start_markers': List({'frame': Value('int64'), 'video_ts_ns': Value('string')}), 'annotation_fps': Value('float64'), 'annotation_frames': Value('int64')}, 'sample_seed': Value('string'), 'sample_method': Value('string'), 'input_trace_scope': Value('string'), 'output_bytes': Value('int64'), 'output_sha256': Value('string'), 'output_frames': Value('int64'), 'output_fps': Value('int64'), 'output_width': Value('int64'), 'output_height': Value('int64'), 'visual_reviewed': Value('bool'), 'subtitle_status': Value('string'), 'hud_status': Value('string'), 'visible_action_outcome': Value('string'), 'visual_model_calls': Value('int64'), 'gallery_video_exported': Value('bool'), 'clip_url': Value('string'), 'poster_url': Value('string'), 'metadata_url': 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.
Input-only gameplay cases
Up to 100 independently sampled 15-second cases for each game with readable input candidates. The fixed seed balances source recordings and samples across time bins. Previous visual-review results are not used in sample selection.
Visually unreviewed: subtitles, HUD complexity and visible interaction outcomes have not been screened. Key names describe recorded controls, not inferred game actions. Horizon Zero Dawn currently has no readable input candidates. Stellar Blade samples come from one readable recording.
Videos: 15 seconds, 300 frames, 20 FPS, H.264/yuv420p, width up to 960, no audio. data.json and media/*.json retain original source intervals, input traces, repository revisions and annotation hashes. Download the sample CSV.
Sources: https://huggingface.co/xiaoluo11 and https://huggingface.co/datasets/elefantai/p2p-full-data (GTA5 only). Source and game rights remain with their owners; consult source terms.
Viewer: https://huggingface.co/spaces/mikusama99/xiaoluo-openp2p-input-cases
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