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
niche_id: string
niche_name: string
category: string
record_count: int64
expected_fields: list<item: string>
child 0, item: string
descriptive_fields: list<item: string>
child 0, item: string
quality_score: int64
passed: bool
schema: struct<valid_records: int64, conformance_pct: double, missing_fields: struct<>, empty_fields: struct (... 27 chars omitted)
child 0, valid_records: int64
child 1, conformance_pct: double
child 2, missing_fields: struct<>
child 3, empty_fields: struct<>
child 4, extra_fields: struct<>
uniqueness: struct<duplicate_rows: int64, duplicate_identity_values: int64, duplicate_fields: struct<>>
child 0, duplicate_rows: int64
child 1, duplicate_identity_values: int64
child 2, duplicate_fields: struct<>
text_depth: struct<field_count: int64, avg_chars: double, min_chars: int64, avg_words: double, min_words: int64, (... 73 chars omitted)
child 0, field_count: int64
child 1, avg_chars: double
child 2, min_chars: int64
child 3, avg_words: double
child 4, min_words: int64
child 5, vocabulary_diversity: double
child 6, total_tokens: int64
child 7, unique_tokens: int64
similarity: struct<max_similarity: double, avg_similarity: double, near_duplicate_pairs: int64>
child 0, max_similarity: double
child 1, avg_similarity: double
child 2, near_duplicate_pairs: int64
repetition: struct<repeated_ngram_count: int64, repeated_ngram_rate: double, top_repeated_phrases: list<item: nu (... 98 chars omitted)
child 0, repeated_ngram_
...
ues: struct<AC (... 161 chars omitted)
child 0, fields: struct<injury_type: struct<unique_values: int64, top_share: double, values: struct<ACL Reconstructio (... 145 chars omitted)
child 0, injury_type: struct<unique_values: int64, top_share: double, values: struct<ACL Reconstruction: int64, Adhesive C (... 124 chars omitted)
child 0, unique_values: int64
child 1, top_share: double
child 2, values: struct<ACL Reconstruction: int64, Adhesive Capsulitis: int64, Patellar Tendinopathy: int64, Lumbar S (... 67 chars omitted)
child 0, ACL Reconstruction: int64
child 1, Adhesive Capsulitis: int64
child 2, Patellar Tendinopathy: int64
child 3, Lumbar Strain: int64
child 4, Rotator Cuff Repair: int64
child 5, Plantar Fasciitis: int64
findings: list<item: null>
child 0, item: null
content: struct<rejected_record_count: int64, rejections: list<item: null>>
child 0, rejected_record_count: int64
child 1, rejections: list<item: null>
child 0, item: null
verification: struct<all_rows_checked: int64, similarity_is_bounded: bool, max_similarity_pairs: int64>
child 0, all_rows_checked: int64
child 1, similarity_is_bounded: bool
child 2, max_similarity_pairs: int64
data_sha256: string
repair_source_revision: string
injury_type: string
session_id: string
patient_pain_level: string
prescribed_exercises: string
therapist_assessment: string
patient_name: string
to
{'session_id': Value('string'), 'patient_name': Value('string'), 'injury_type': Value('string'), 'patient_pain_level': Value('string'), 'therapist_assessment': Value('string'), 'prescribed_exercises': 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
niche_id: string
niche_name: string
category: string
record_count: int64
expected_fields: list<item: string>
child 0, item: string
descriptive_fields: list<item: string>
child 0, item: string
quality_score: int64
passed: bool
schema: struct<valid_records: int64, conformance_pct: double, missing_fields: struct<>, empty_fields: struct (... 27 chars omitted)
child 0, valid_records: int64
child 1, conformance_pct: double
child 2, missing_fields: struct<>
child 3, empty_fields: struct<>
child 4, extra_fields: struct<>
uniqueness: struct<duplicate_rows: int64, duplicate_identity_values: int64, duplicate_fields: struct<>>
child 0, duplicate_rows: int64
child 1, duplicate_identity_values: int64
child 2, duplicate_fields: struct<>
text_depth: struct<field_count: int64, avg_chars: double, min_chars: int64, avg_words: double, min_words: int64, (... 73 chars omitted)
child 0, field_count: int64
child 1, avg_chars: double
child 2, min_chars: int64
child 3, avg_words: double
child 4, min_words: int64
child 5, vocabulary_diversity: double
child 6, total_tokens: int64
child 7, unique_tokens: int64
similarity: struct<max_similarity: double, avg_similarity: double, near_duplicate_pairs: int64>
child 0, max_similarity: double
child 1, avg_similarity: double
child 2, near_duplicate_pairs: int64
repetition: struct<repeated_ngram_count: int64, repeated_ngram_rate: double, top_repeated_phrases: list<item: nu (... 98 chars omitted)
child 0, repeated_ngram_
...
ues: struct<AC (... 161 chars omitted)
child 0, fields: struct<injury_type: struct<unique_values: int64, top_share: double, values: struct<ACL Reconstructio (... 145 chars omitted)
child 0, injury_type: struct<unique_values: int64, top_share: double, values: struct<ACL Reconstruction: int64, Adhesive C (... 124 chars omitted)
child 0, unique_values: int64
child 1, top_share: double
child 2, values: struct<ACL Reconstruction: int64, Adhesive Capsulitis: int64, Patellar Tendinopathy: int64, Lumbar S (... 67 chars omitted)
child 0, ACL Reconstruction: int64
child 1, Adhesive Capsulitis: int64
child 2, Patellar Tendinopathy: int64
child 3, Lumbar Strain: int64
child 4, Rotator Cuff Repair: int64
child 5, Plantar Fasciitis: int64
findings: list<item: null>
child 0, item: null
content: struct<rejected_record_count: int64, rejections: list<item: null>>
child 0, rejected_record_count: int64
child 1, rejections: list<item: null>
child 0, item: null
verification: struct<all_rows_checked: int64, similarity_is_bounded: bool, max_similarity_pairs: int64>
child 0, all_rows_checked: int64
child 1, similarity_is_bounded: bool
child 2, max_similarity_pairs: int64
data_sha256: string
repair_source_revision: string
injury_type: string
session_id: string
patient_pain_level: string
prescribed_exercises: string
therapist_assessment: string
patient_name: string
to
{'session_id': Value('string'), 'patient_name': Value('string'), 'injury_type': Value('string'), 'patient_pain_level': Value('string'), 'therapist_assessment': Value('string'), 'prescribed_exercises': 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.