temsa/search-reranker-broad-policy-v9
Text Ranking • 0.1B • Updated • 447
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
rows: int64
candidate_count: int64
topics: list<item: string>
child 0, item: string
languages: struct<en: int64, ga: int64>
child 0, en: int64
child 1, ga: int64
query_families: struct<current: int64, latest_news: int64, budget_2027: int64, multiturn: int64>
child 0, current: int64
child 1, latest_news: int64
child 2, budget_2027: int64
child 3, multiturn: int64
id: string
domain: string
query: string
language: string
candidates: list<item: struct<id: string, text: string, kind: string, category: string, metadata_mode: string, r (... 18 chars omitted)
child 0, item: struct<id: string, text: string, kind: string, category: string, metadata_mode: string, relevance: d (... 6 chars omitted)
child 0, id: string
child 1, text: string
child 2, kind: string
child 3, category: string
child 4, metadata_mode: string
child 5, relevance: double
source: string
to
{'id': Value('string'), 'query': Value('string'), 'language': Value('string'), 'source': Value('string'), 'domain': Value('string'), 'candidates': List({'id': Value('string'), 'text': Value('string'), 'kind': Value('string'), 'category': Value('string'), 'metadata_mode': Value('string'), 'relevance': Value('float64')})}
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 2674, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2208, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2232, 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 483, 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 260, 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 120, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
rows: int64
candidate_count: int64
topics: list<item: string>
child 0, item: string
languages: struct<en: int64, ga: int64>
child 0, en: int64
child 1, ga: int64
query_families: struct<current: int64, latest_news: int64, budget_2027: int64, multiturn: int64>
child 0, current: int64
child 1, latest_news: int64
child 2, budget_2027: int64
child 3, multiturn: int64
id: string
domain: string
query: string
language: string
candidates: list<item: struct<id: string, text: string, kind: string, category: string, metadata_mode: string, r (... 18 chars omitted)
child 0, item: struct<id: string, text: string, kind: string, category: string, metadata_mode: string, relevance: d (... 6 chars omitted)
child 0, id: string
child 1, text: string
child 2, kind: string
child 3, category: string
child 4, metadata_mode: string
child 5, relevance: double
source: string
to
{'id': Value('string'), 'query': Value('string'), 'language': Value('string'), 'source': Value('string'), 'domain': Value('string'), 'candidates': List({'id': Value('string'), 'text': Value('string'), 'kind': Value('string'), 'category': Value('string'), 'metadata_mode': Value('string'), 'relevance': 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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
- Downloads last month
- 14