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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
kind: string
v: int64
source: string
license: string
sets: list<item: struct<id: string, name: string, what: string, page: string, url: string, built_at: strin (... 69 chars omitted)
child 0, item: struct<id: string, name: string, what: string, page: string, url: string, built_at: string, n: int64 (... 57 chars omitted)
child 0, id: string
child 1, name: string
child 2, what: string
child 3, page: string
child 4, url: string
child 5, built_at: string
child 6, n: int64
child 7, model: string
child 8, dim: int64
child 9, bytes: int64
child 10, state: string
note: string
built_at: string
dim: int64
name: string
index: string
n: int64
items: list<item: struct<id: string, url: string, text: string, vector: list<item: double>>>
child 0, item: struct<id: string, url: string, text: string, vector: list<item: double>>
child 0, id: string
child 1, url: string
child 2, text: string
child 3, vector: list<item: double>
child 0, item: double
model: string
set: string
to
{'kind': Value('string'), 'v': Value('int64'), 'set': Value('string'), 'name': Value('string'), 'source': Value('string'), 'index': Value('string'), 'license': Value('string'), 'model': Value('string'), 'dim': Value('int64'), 'built_at': Value('string'), 'n': Value('int64'), 'note': Value('string'), 'items': List({'id': Value('string'), 'url': Value('string'), 'text': Value('string'), 'vector': List(Value('float64'))})}
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 544, 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 3052, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
kind: string
v: int64
source: string
license: string
sets: list<item: struct<id: string, name: string, what: string, page: string, url: string, built_at: strin (... 69 chars omitted)
child 0, item: struct<id: string, name: string, what: string, page: string, url: string, built_at: string, n: int64 (... 57 chars omitted)
child 0, id: string
child 1, name: string
child 2, what: string
child 3, page: string
child 4, url: string
child 5, built_at: string
child 6, n: int64
child 7, model: string
child 8, dim: int64
child 9, bytes: int64
child 10, state: string
note: string
built_at: string
dim: int64
name: string
index: string
n: int64
items: list<item: struct<id: string, url: string, text: string, vector: list<item: double>>>
child 0, item: struct<id: string, url: string, text: string, vector: list<item: double>>
child 0, id: string
child 1, url: string
child 2, text: string
child 3, vector: list<item: double>
child 0, item: double
model: string
set: string
to
{'kind': Value('string'), 'v': Value('int64'), 'set': Value('string'), 'name': Value('string'), 'source': Value('string'), 'index': Value('string'), 'license': Value('string'), 'model': Value('string'), 'dim': Value('int64'), 'built_at': Value('string'), 'n': Value('int64'), 'note': Value('string'), 'items': List({'id': Value('string'), 'url': Value('string'), 'text': Value('string'), 'vector': List(Value('float64'))})}
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.
CrawlCheck: Embeddings of the CrawlCheck catalogues
The AI crawler catalogue, the glossary, every problem code and every census measure as vectors (bge-base-en-v1.5, 768 dimensions), one JSON file per set with the embedded text and the page each item describes, for agents that match by meaning instead of by string.
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