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
schemaVersion: int64
documents: list<item: struct<doc_id: string, doc_type: string, source_url: string, source_content_cid: string, (... 790576 chars omitted)
child 0, item: struct<doc_id: string, doc_type: string, source_url: string, source_content_cid: string, source_page (... 790564 chars omitted)
child 0, doc_id: string
child 1, doc_type: string
child 2, source_url: string
child 3, source_content_cid: string
child 4, source_page_cid: string
child 5, document_length: int64
child 6, terms: struct<tax: double, volunteers: double, volunteer: double, details: double, metropolitan: double, fo (... 395153 chars omitted)
child 0, tax: double
child 1, volunteers: double
child 2, volunteer: double
child 3, details: double
child 4, metropolitan: double
child 5, food: double
child 6, opportunities: double
child 7, returns: double
child 8, volunteering: double
child 9, 000: double
child 10, severe: double
child 11, expenses: double
child 12, weather: double
child 13, activations: double
child 14, person: double
child 15, 2026: double
child 16, more: double
child 17, pantry: double
child 18, amortization: double
child 19, cryptocurrency: double
child 20, depreciation: double
child 21, following: double
child 22, 109
...
31: int64
child 24882, 15620: int64
child 24883, 23618: int64
child 24884, staf: int64
child 24885, 13059: int64
child 24886, 25675: int64
child 24887, 19095: int64
child 24888, enrichmen: int64
child 24889, 22925: int64
child 24890, 27222: int64
child 24891, 19651: int64
child 24892, 20272: int64
child 24893, 24721: int64
child 24894, 18140: int64
child 24895, 21872: int64
child 24896, 24922: int64
child 24897, 27456: int64
child 24898, 23048: int64
child 24899, 17858: int64
k1: double
b: double
avgdl: double
documentCount: int64
maxTermsPerDocument: int64
datasetPath: string
artifacts: list<item: struct<path: string, bytes: int64, cid: string, role: string>>
child 0, item: struct<path: string, bytes: int64, cid: string, role: string>
child 0, path: string
child 1, bytes: int64
child 2, cid: string
child 3, role: string
corpus: struct<name: string, source: string, documentCount: int64, embeddingModel: string, embeddingDimensio (... 9 chars omitted)
child 0, name: string
child 1, source: string
child 2, documentCount: int64
child 3, embeddingModel: string
child 4, embeddingDimension: int64
sourcePackage: struct<path: string, build_manifest_cid: string, document_count: int64, graph_node_count: int64, gra (... 21 chars omitted)
child 0, path: string
child 1, build_manifest_cid: string
child 2, document_count: int64
child 3, graph_node_count: int64
child 4, graph_edge_count: int64
datasetId: string
to
{'schemaVersion': Value('int64'), 'datasetId': Value('string'), 'datasetPath': Value('string'), 'corpus': {'name': Value('string'), 'source': Value('string'), 'documentCount': Value('int64'), 'embeddingModel': Value('string'), 'embeddingDimension': Value('int64')}, 'sourcePackage': {'path': Value('string'), 'build_manifest_cid': Value('string'), 'document_count': Value('int64'), 'graph_node_count': Value('int64'), 'graph_edge_count': Value('int64')}, 'artifacts': List({'path': Value('string'), 'bytes': Value('int64'), 'cid': Value('string'), 'role': Value('string')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
schemaVersion: int64
documents: list<item: struct<doc_id: string, doc_type: string, source_url: string, source_content_cid: string, (... 790576 chars omitted)
child 0, item: struct<doc_id: string, doc_type: string, source_url: string, source_content_cid: string, source_page (... 790564 chars omitted)
child 0, doc_id: string
child 1, doc_type: string
child 2, source_url: string
child 3, source_content_cid: string
child 4, source_page_cid: string
child 5, document_length: int64
child 6, terms: struct<tax: double, volunteers: double, volunteer: double, details: double, metropolitan: double, fo (... 395153 chars omitted)
child 0, tax: double
child 1, volunteers: double
child 2, volunteer: double
child 3, details: double
child 4, metropolitan: double
child 5, food: double
child 6, opportunities: double
child 7, returns: double
child 8, volunteering: double
child 9, 000: double
child 10, severe: double
child 11, expenses: double
child 12, weather: double
child 13, activations: double
child 14, person: double
child 15, 2026: double
child 16, more: double
child 17, pantry: double
child 18, amortization: double
child 19, cryptocurrency: double
child 20, depreciation: double
child 21, following: double
child 22, 109
...
31: int64
child 24882, 15620: int64
child 24883, 23618: int64
child 24884, staf: int64
child 24885, 13059: int64
child 24886, 25675: int64
child 24887, 19095: int64
child 24888, enrichmen: int64
child 24889, 22925: int64
child 24890, 27222: int64
child 24891, 19651: int64
child 24892, 20272: int64
child 24893, 24721: int64
child 24894, 18140: int64
child 24895, 21872: int64
child 24896, 24922: int64
child 24897, 27456: int64
child 24898, 23048: int64
child 24899, 17858: int64
k1: double
b: double
avgdl: double
documentCount: int64
maxTermsPerDocument: int64
datasetPath: string
artifacts: list<item: struct<path: string, bytes: int64, cid: string, role: string>>
child 0, item: struct<path: string, bytes: int64, cid: string, role: string>
child 0, path: string
child 1, bytes: int64
child 2, cid: string
child 3, role: string
corpus: struct<name: string, source: string, documentCount: int64, embeddingModel: string, embeddingDimensio (... 9 chars omitted)
child 0, name: string
child 1, source: string
child 2, documentCount: int64
child 3, embeddingModel: string
child 4, embeddingDimension: int64
sourcePackage: struct<path: string, build_manifest_cid: string, document_count: int64, graph_node_count: int64, gra (... 21 chars omitted)
child 0, path: string
child 1, build_manifest_cid: string
child 2, document_count: int64
child 3, graph_node_count: int64
child 4, graph_edge_count: int64
datasetId: string
to
{'schemaVersion': Value('int64'), 'datasetId': Value('string'), 'datasetPath': Value('string'), 'corpus': {'name': Value('string'), 'source': Value('string'), 'documentCount': Value('int64'), 'embeddingModel': Value('string'), 'embeddingDimension': Value('int64')}, 'sourcePackage': {'path': Value('string'), 'build_manifest_cid': Value('string'), 'document_count': Value('int64'), 'graph_node_count': Value('int64'), 'graph_edge_count': Value('int64')}, 'artifacts': List({'path': Value('string'), 'bytes': Value('int64'), 'cid': Value('string'), 'role': 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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