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
acceptance_passed: bool
actual_model: struct<actual_model_names: list<item: string>, actual_revision_values: list<item: string>, model_mat (... 35 chars omitted)
child 0, actual_model_names: list<item: string>
child 0, item: string
child 1, actual_revision_values: list<item: string>
child 0, item: string
child 2, model_matches: bool
child 3, revision_matches: bool
chunks_per_second: double
chunks_tested: int64
deterministic_selection: struct<canonical_source_orders: list<item: int64>, included_long_table_chunk_id: string, included_lo (... 231 chars omitted)
child 0, canonical_source_orders: list<item: int64>
child 0, item: int64
child 1, included_long_table_chunk_id: string
child 2, included_long_table_content_token_count: int64
child 3, method: string
child 4, selection_version: string
child 5, source_artifact_id: string
child 6, source_corpus_fingerprint: string
child 7, table_chunk_count: int64
child 8, table_p95_content_token_count: int64
child 9, text_chunk_count: int64
device: string
dimension: int64
dtype: string
elapsed_seconds: double
embedding_fingerprint: string
faiss_sqlite_integrity: struct<dimension: bool, dtype: bool, duplicate_chunk_ids: bool, duplicate_embedding_ids: bool, embed (... 279 chars omitted)
child 0, dimension: bool
child 1, dtype: bool
child 2, duplicate_chunk_ids: bool
child 3, duplicate_embedding_ids: bool
child 4, embedding_fingerprint: bool
child 5, faiss_read_write: bool
child 6, fai
...
ks: int64
source_artifact_exists: bool
failure_condition: string
chunks_requested: int64
report_kind: string
estimated_full_build_duration: null
source_artifact_path: string
runtime: struct<cuda_available: bool, cuda_device: null, cuda_device_count: int64, torch_cuda_version: null, (... 22 chars omitted)
child 0, cuda_available: bool
child 1, cuda_device: null
child 2, cuda_device_count: int64
child 3, torch_cuda_version: null
child 4, torch_version: string
estimated_full_build_seconds: null
requested_batch_sizes: list<item: int64>
child 0, item: int64
validated_cuda_batch_size: null
smoke_integrity_result: string
host: struct<platform: string, python_version: string, system_ram_available_bytes: int64, system_ram_bytes (... 42 chars omitted)
child 0, platform: string
child 1, python_version: string
child 2, system_ram_available_bytes: int64
child 3, system_ram_bytes: int64
child 4, workspace_free_disk_bytes: int64
failure_reason: string
CUDA_FULL_CORPUS_BUILD_GATE: string
peak_process_ram_bytes: null
validation: struct<actual_model_revision_matches_contract: string, dimension_1024: string, dtype_float32: string (... 151 chars omitted)
child 0, actual_model_revision_matches_contract: string
child 1, dimension_1024: string
child 2, dtype_float32: string
child 3, embedding_fingerprint_matches_contract: string
child 4, faiss_sqlite_integrity: string
child 5, finite_vectors: string
child 6, l2_normalized: string
child 7, no_truncation: string
to
{'CUDA_FULL_CORPUS_BUILD_GATE': Value('string'), 'acceptance_passed': Value('bool'), 'chunks_per_second': Value('null'), 'chunks_requested': Value('int64'), 'chunks_tested': Value('int64'), 'elapsed_seconds': Value('float64'), 'embedding_fingerprint': Value('string'), 'estimated_full_build_duration': Value('null'), 'estimated_full_build_seconds': Value('null'), 'estimated_full_corpus_chunks': Value('int64'), 'failure_condition': Value('string'), 'failure_reason': Value('string'), 'full_corpus_build_started': Value('bool'), 'host': {'platform': Value('string'), 'python_version': Value('string'), 'system_ram_available_bytes': Value('int64'), 'system_ram_bytes': Value('int64'), 'workspace_free_disk_bytes': Value('int64')}, 'model_id': Value('string'), 'model_revision': Value('string'), 'peak_gpu_memory_bytes': Value('null'), 'peak_process_ram_bytes': Value('null'), 'report_kind': Value('string'), 'requested_batch_sizes': List(Value('int64')), 'runtime': {'cuda_available': Value('bool'), 'cuda_device': Value('null'), 'cuda_device_count': Value('int64'), 'torch_cuda_version': Value('null'), 'torch_version': Value('string')}, 'smoke_artifact_path': Value('null'), 'smoke_integrity_result': Value('string'), 'source_artifact_exists': Value('bool'), 'source_artifact_path': Value('string'), 'source_corpus_fingerprint': Value('string'), 'table_chunks': Value('int64'), 'tested_batch_sizes': List({'batch_size': Value('int64'), 'reason': Value('string'), 'status': Value('string')}), 'text_chunks': Value('int64'), 'timestamp': Value('string'), 'validated_cuda_batch_size': Value('null'), 'validation': {'actual_model_revision_matches_contract': Value('string'), 'dimension_1024': Value('string'), 'dtype_float32': Value('string'), 'embedding_fingerprint_matches_contract': Value('string'), 'faiss_sqlite_integrity': Value('string'), 'finite_vectors': Value('string'), 'l2_normalized': Value('string'), 'no_truncation': 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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
acceptance_passed: bool
actual_model: struct<actual_model_names: list<item: string>, actual_revision_values: list<item: string>, model_mat (... 35 chars omitted)
child 0, actual_model_names: list<item: string>
child 0, item: string
child 1, actual_revision_values: list<item: string>
child 0, item: string
child 2, model_matches: bool
child 3, revision_matches: bool
chunks_per_second: double
chunks_tested: int64
deterministic_selection: struct<canonical_source_orders: list<item: int64>, included_long_table_chunk_id: string, included_lo (... 231 chars omitted)
child 0, canonical_source_orders: list<item: int64>
child 0, item: int64
child 1, included_long_table_chunk_id: string
child 2, included_long_table_content_token_count: int64
child 3, method: string
child 4, selection_version: string
child 5, source_artifact_id: string
child 6, source_corpus_fingerprint: string
child 7, table_chunk_count: int64
child 8, table_p95_content_token_count: int64
child 9, text_chunk_count: int64
device: string
dimension: int64
dtype: string
elapsed_seconds: double
embedding_fingerprint: string
faiss_sqlite_integrity: struct<dimension: bool, dtype: bool, duplicate_chunk_ids: bool, duplicate_embedding_ids: bool, embed (... 279 chars omitted)
child 0, dimension: bool
child 1, dtype: bool
child 2, duplicate_chunk_ids: bool
child 3, duplicate_embedding_ids: bool
child 4, embedding_fingerprint: bool
child 5, faiss_read_write: bool
child 6, fai
...
ks: int64
source_artifact_exists: bool
failure_condition: string
chunks_requested: int64
report_kind: string
estimated_full_build_duration: null
source_artifact_path: string
runtime: struct<cuda_available: bool, cuda_device: null, cuda_device_count: int64, torch_cuda_version: null, (... 22 chars omitted)
child 0, cuda_available: bool
child 1, cuda_device: null
child 2, cuda_device_count: int64
child 3, torch_cuda_version: null
child 4, torch_version: string
estimated_full_build_seconds: null
requested_batch_sizes: list<item: int64>
child 0, item: int64
validated_cuda_batch_size: null
smoke_integrity_result: string
host: struct<platform: string, python_version: string, system_ram_available_bytes: int64, system_ram_bytes (... 42 chars omitted)
child 0, platform: string
child 1, python_version: string
child 2, system_ram_available_bytes: int64
child 3, system_ram_bytes: int64
child 4, workspace_free_disk_bytes: int64
failure_reason: string
CUDA_FULL_CORPUS_BUILD_GATE: string
peak_process_ram_bytes: null
validation: struct<actual_model_revision_matches_contract: string, dimension_1024: string, dtype_float32: string (... 151 chars omitted)
child 0, actual_model_revision_matches_contract: string
child 1, dimension_1024: string
child 2, dtype_float32: string
child 3, embedding_fingerprint_matches_contract: string
child 4, faiss_sqlite_integrity: string
child 5, finite_vectors: string
child 6, l2_normalized: string
child 7, no_truncation: string
to
{'CUDA_FULL_CORPUS_BUILD_GATE': Value('string'), 'acceptance_passed': Value('bool'), 'chunks_per_second': Value('null'), 'chunks_requested': Value('int64'), 'chunks_tested': Value('int64'), 'elapsed_seconds': Value('float64'), 'embedding_fingerprint': Value('string'), 'estimated_full_build_duration': Value('null'), 'estimated_full_build_seconds': Value('null'), 'estimated_full_corpus_chunks': Value('int64'), 'failure_condition': Value('string'), 'failure_reason': Value('string'), 'full_corpus_build_started': Value('bool'), 'host': {'platform': Value('string'), 'python_version': Value('string'), 'system_ram_available_bytes': Value('int64'), 'system_ram_bytes': Value('int64'), 'workspace_free_disk_bytes': Value('int64')}, 'model_id': Value('string'), 'model_revision': Value('string'), 'peak_gpu_memory_bytes': Value('null'), 'peak_process_ram_bytes': Value('null'), 'report_kind': Value('string'), 'requested_batch_sizes': List(Value('int64')), 'runtime': {'cuda_available': Value('bool'), 'cuda_device': Value('null'), 'cuda_device_count': Value('int64'), 'torch_cuda_version': Value('null'), 'torch_version': Value('string')}, 'smoke_artifact_path': Value('null'), 'smoke_integrity_result': Value('string'), 'source_artifact_exists': Value('bool'), 'source_artifact_path': Value('string'), 'source_corpus_fingerprint': Value('string'), 'table_chunks': Value('int64'), 'tested_batch_sizes': List({'batch_size': Value('int64'), 'reason': Value('string'), 'status': Value('string')}), 'text_chunks': Value('int64'), 'timestamp': Value('string'), 'validated_cuda_batch_size': Value('null'), 'validation': {'actual_model_revision_matches_contract': Value('string'), 'dimension_1024': Value('string'), 'dtype_float32': Value('string'), 'embedding_fingerprint_matches_contract': Value('string'), 'faiss_sqlite_integrity': Value('string'), 'finite_vectors': Value('string'), 'l2_normalized': Value('string'), 'no_truncation': 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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