The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
schema_version: int64
split: string
records: list<item: struct<generator: string, set_id: int64, seed: int64, variant: string, source: string, so (... 127 chars omitted)
child 0, item: struct<generator: string, set_id: int64, seed: int64, variant: string, source: string, source_sha256 (... 115 chars omitted)
child 0, generator: string
child 1, set_id: int64
child 2, seed: int64
child 3, variant: string
child 4, source: string
child 5, source_sha256: string
child 6, reference: string
child 7, interval_ms: list<item: int64>
child 0, item: int64
child 8, output: string
child 9, output_sha256: string
child 10, objects: int64
source_documentation: string
results: list<item: struct<set_id: int64, status: string, source_url: string, archive: string, archive_bytes: (... 131 chars omitted)
child 0, item: struct<set_id: int64, status: string, source_url: string, archive: string, archive_bytes: int64, arc (... 119 chars omitted)
child 0, set_id: int64
child 1, status: string
child 2, source_url: string
child 3, archive: string
child 4, archive_bytes: int64
child 5, archive_sha256: string
child 6, files: list<item: struct<archive_name: string, local_name: string, bytes: int64, sha256: string>>
child 0, item: struct<archive_name: string, local_name: string, bytes: int64, sha256: string>
child 0, archive_name: string
child 1, local_name: string
child 2, bytes: int64
child 3, sha256: string
source: string
selection_file: string
note: string
to
{'schema_version': Value('int64'), 'selection_file': Value('string'), 'source': Value('string'), 'source_documentation': Value('string'), 'note': Value('string'), 'results': List({'set_id': Value('int64'), 'status': Value('string'), 'source_url': Value('string'), 'archive': Value('string'), 'archive_bytes': Value('int64'), 'archive_sha256': Value('string'), 'files': List({'archive_name': Value('string'), 'local_name': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')})})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
schema_version: int64
split: string
records: list<item: struct<generator: string, set_id: int64, seed: int64, variant: string, source: string, so (... 127 chars omitted)
child 0, item: struct<generator: string, set_id: int64, seed: int64, variant: string, source: string, source_sha256 (... 115 chars omitted)
child 0, generator: string
child 1, set_id: int64
child 2, seed: int64
child 3, variant: string
child 4, source: string
child 5, source_sha256: string
child 6, reference: string
child 7, interval_ms: list<item: int64>
child 0, item: int64
child 8, output: string
child 9, output_sha256: string
child 10, objects: int64
source_documentation: string
results: list<item: struct<set_id: int64, status: string, source_url: string, archive: string, archive_bytes: (... 131 chars omitted)
child 0, item: struct<set_id: int64, status: string, source_url: string, archive: string, archive_bytes: int64, arc (... 119 chars omitted)
child 0, set_id: int64
child 1, status: string
child 2, source_url: string
child 3, archive: string
child 4, archive_bytes: int64
child 5, archive_sha256: string
child 6, files: list<item: struct<archive_name: string, local_name: string, bytes: int64, sha256: string>>
child 0, item: struct<archive_name: string, local_name: string, bytes: int64, sha256: string>
child 0, archive_name: string
child 1, local_name: string
child 2, bytes: int64
child 3, sha256: string
source: string
selection_file: string
note: string
to
{'schema_version': Value('int64'), 'selection_file': Value('string'), 'source': Value('string'), 'source_documentation': Value('string'), 'note': Value('string'), 'results': List({'set_id': Value('int64'), 'status': Value('string'), 'source_url': Value('string'), 'archive': Value('string'), 'archive_bytes': Value('int64'), 'archive_sha256': Value('string'), 'files': List({'archive_name': Value('string'), 'local_name': Value('string'), 'bytes': Value('int64'), 'sha256': 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:The task_categories "classification" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
osu-ai-detector reproducibility metadata v1.0.0
This release contains preregistered split definitions, exact source identities, acquisition records, verification hashes, generation revision records, and compact reference evaluation outputs for the osu-ai-detector technical report.
It intentionally excludes third-party raw beatmaps, audio, and upstream model weights. Researchers acquire those files from their original sources by using the published scripts, and the scripts reject files that do not match the registered identity.
Contents
manifests/: exact train, calibration, external, and disclosed final split identities and provenance.reference-results/: aggregate frozen evaluation reports and completion seals; no per-sample secret identities are hidden in v1.0.0.acquisition/: download and verification utilities copied from the research release.DATA_INVENTORY.json: byte sizes and SHA-256 values for every released file.
All final blind-test identities are disclosed in this research release, as selected by the project owner after evaluation was completed.
Licensing boundary
Original metadata and derived tables authored by NettoAndTetto are CC BY 4.0. Third-party identifiers and factual provenance remain subject to applicable database and source-site terms. No license to third-party audio, beatmaps, artwork, or upstream weights is granted or implied.
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