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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
bulk_receipt_id: string
stored: bool
team: string
team_slug: string
track: string
uploaded_at: timestamp[s]
system_type: string
submitter_email: string
items: list<item: struct<language: string, action: string, slot: int64, note: string, llm: string, retrieve (... 63 chars omitted)
child 0, item: struct<language: string, action: string, slot: int64, note: string, llm: string, retriever: string, (... 51 chars omitted)
child 0, language: string
child 1, action: string
child 2, slot: int64
child 3, note: string
child 4, llm: string
child 5, retriever: string
child 6, receipt_id: string
child 7, sha256: string
child 8, replaced: null
validator: struct<name: string, version: string, resources_built_at: timestamp[s]>
child 0, name: string
child 1, version: string
child 2, resources_built_at: timestamp[s]
report: struct<validator: struct<name: string, version: string, resources_built_at: timestamp[s]>, generated (... 431 chars omitted)
child 0, validator: struct<name: string, version: string, resources_built_at: timestamp[s]>
child 0, name: string
child 1, version: string
child 2, resources_built_at: timestamp[s]
child 1, generated_at: timestamp[s]
child 2, track: string
child 3, source: string
child 4, status: string
child 5, files: list<item: struct<name: string, track: string, language: string, inferred: bool, llm: string, retrie (... 257 chars omitted)
child 0, item: struct<name: string, track: string, language: string, inferred: bool, llm: string, retriever: string (... 245 chars omitted)
child 0, name: string
child 1, track: string
child 2, language: string
child 3, inferred: bool
child 4, llm: string
child 5, retriever: string
child 6, present: bool
child 7, records: int64
child 8, errors: int64
child 9, warnings: int64
child 10, findings: list<item: struct<kind: string, level: string, message: string, count: int64, examples: list<item: s (... 69 chars omitted)
child 0, item: struct<kind: string, level: string, message: string, count: int64, examples: list<item: string>, lin (... 57 chars omitted)
child 0, kind: string
child 1, level: string
child 2, message: string
child 3, count: int64
child 4, examples: list<item: string>
child 0, item: string
child 5, lines: list<item: int64>
child 0, item: int64
child 6, details: struct<declared: string>
child 0, declared: string
warnings: int64
sha256: string
receipt_id: string
warning_kinds: list<item: string>
child 0, item: string
size_bytes: int64
original_filename: string
content_sha256: string
language: string
llm: string
retriever: string
records: int64
replaced: null
slot: int64
to
{'slot': Value('int64'), 'receipt_id': Value('string'), 'sha256': Value('string'), 'content_sha256': Value('string'), 'size_bytes': Value('int64'), 'records': Value('int64'), 'uploaded_at': Value('timestamp[s]'), 'original_filename': Value('string'), 'llm': Value('string'), 'retriever': Value('string'), 'system_type': Value('string'), 'submitter_email': Value('string'), 'warnings': Value('int64'), 'warning_kinds': List(Value('string')), 'replaced': Value('null'), 'team': Value('string'), 'team_slug': Value('string'), 'track': Value('string'), 'language': Value('string'), 'validator': {'name': Value('string'), 'version': Value('string'), 'resources_built_at': Value('timestamp[s]')}, 'report': {'validator': {'name': Value('string'), 'version': Value('string'), 'resources_built_at': Value('timestamp[s]')}, 'generated_at': Value('timestamp[s]'), 'track': Value('string'), 'source': Value('string'), 'status': Value('string'), 'files': List({'name': Value('string'), 'track': Value('string'), 'language': Value('string'), 'inferred': Value('bool'), 'llm': Value('string'), 'retriever': Value('string'), 'present': Value('bool'), 'records': Value('int64'), 'errors': Value('int64'), 'warnings': Value('int64'), 'findings': List({'kind': Value('string'), 'level': Value('string'), 'message': Value('string'), 'count': Value('int64'), 'examples': List(Value('string')), 'lines': List(Value('int64')), 'details': {'declared': 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
bulk_receipt_id: string
stored: bool
team: string
team_slug: string
track: string
uploaded_at: timestamp[s]
system_type: string
submitter_email: string
items: list<item: struct<language: string, action: string, slot: int64, note: string, llm: string, retrieve (... 63 chars omitted)
child 0, item: struct<language: string, action: string, slot: int64, note: string, llm: string, retriever: string, (... 51 chars omitted)
child 0, language: string
child 1, action: string
child 2, slot: int64
child 3, note: string
child 4, llm: string
child 5, retriever: string
child 6, receipt_id: string
child 7, sha256: string
child 8, replaced: null
validator: struct<name: string, version: string, resources_built_at: timestamp[s]>
child 0, name: string
child 1, version: string
child 2, resources_built_at: timestamp[s]
report: struct<validator: struct<name: string, version: string, resources_built_at: timestamp[s]>, generated (... 431 chars omitted)
child 0, validator: struct<name: string, version: string, resources_built_at: timestamp[s]>
child 0, name: string
child 1, version: string
child 2, resources_built_at: timestamp[s]
child 1, generated_at: timestamp[s]
child 2, track: string
child 3, source: string
child 4, status: string
child 5, files: list<item: struct<name: string, track: string, language: string, inferred: bool, llm: string, retrie (... 257 chars omitted)
child 0, item: struct<name: string, track: string, language: string, inferred: bool, llm: string, retriever: string (... 245 chars omitted)
child 0, name: string
child 1, track: string
child 2, language: string
child 3, inferred: bool
child 4, llm: string
child 5, retriever: string
child 6, present: bool
child 7, records: int64
child 8, errors: int64
child 9, warnings: int64
child 10, findings: list<item: struct<kind: string, level: string, message: string, count: int64, examples: list<item: s (... 69 chars omitted)
child 0, item: struct<kind: string, level: string, message: string, count: int64, examples: list<item: string>, lin (... 57 chars omitted)
child 0, kind: string
child 1, level: string
child 2, message: string
child 3, count: int64
child 4, examples: list<item: string>
child 0, item: string
child 5, lines: list<item: int64>
child 0, item: int64
child 6, details: struct<declared: string>
child 0, declared: string
warnings: int64
sha256: string
receipt_id: string
warning_kinds: list<item: string>
child 0, item: string
size_bytes: int64
original_filename: string
content_sha256: string
language: string
llm: string
retriever: string
records: int64
replaced: null
slot: int64
to
{'slot': Value('int64'), 'receipt_id': Value('string'), 'sha256': Value('string'), 'content_sha256': Value('string'), 'size_bytes': Value('int64'), 'records': Value('int64'), 'uploaded_at': Value('timestamp[s]'), 'original_filename': Value('string'), 'llm': Value('string'), 'retriever': Value('string'), 'system_type': Value('string'), 'submitter_email': Value('string'), 'warnings': Value('int64'), 'warning_kinds': List(Value('string')), 'replaced': Value('null'), 'team': Value('string'), 'team_slug': Value('string'), 'track': Value('string'), 'language': Value('string'), 'validator': {'name': Value('string'), 'version': Value('string'), 'resources_built_at': Value('timestamp[s]')}, 'report': {'validator': {'name': Value('string'), 'version': Value('string'), 'resources_built_at': Value('timestamp[s]')}, 'generated_at': Value('timestamp[s]'), 'track': Value('string'), 'source': Value('string'), 'status': Value('string'), 'files': List({'name': Value('string'), 'track': Value('string'), 'language': Value('string'), 'inferred': Value('bool'), 'llm': Value('string'), 'retriever': Value('string'), 'present': Value('bool'), 'records': Value('int64'), 'errors': Value('int64'), 'warnings': Value('int64'), 'findings': List({'kind': Value('string'), 'level': Value('string'), 'message': Value('string'), 'count': Value('int64'), 'examples': List(Value('string')), 'lines': List(Value('int64')), 'details': {'declared': 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.
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