Datasets:

---

nhavanvietcode

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database26-artifact

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
point_id: string
video_id: string
video_path: string
start_time: string
end_time: string
start_sec: double
end_sec: double
caption: string
source_json: string
source_result_dir: string
shot_index: int64
modality: string
embedding_model: string
embedding_dim: int64
api_label: string
asset_id: string
retrieval_ready: bool
caption_model: string
analysis_mode: string
format: string
createdAtUnix: int64
snapshots: list<item: struct<collection: string, name: string, path: string, size: int64>>
  child 0, item: struct<collection: string, name: string, path: string, size: int64>
      child 0, collection: string
      child 1, name: string
      child 2, path: string
      child 3, size: int64
artifactVersion: string
qdrantVersion: string
metadata: struct<metadataAllJsonl: string, asrChunksJsonl: string, asrIndexMetadataJson: string, ocrResultsJso (... 10 chars omitted)
  child 0, metadataAllJsonl: string
  child 1, asrChunksJsonl: string
  child 2, asrIndexMetadataJson: string
  child 3, ocrResultsJson: string
collections: struct<qwen_keyframes: struct<rows: int64, dimension: int64, distance: string>, asr_segments: struct (... 250 chars omitted)
  child 0, qwen_keyframes: struct<rows: int64, dimension: int64, distance: string>
      child 0, rows: int64
      child 1, dimension: int64
      child 2, distance: string
  child 1, asr_segments: struct<rows: int64, dimension: int64, distance: string>
      child 0, rows: int64
      child 1, dimension: int64
      child 2, distance: string
  child 2, caption_segments: struct<collection_name: string, snapshot: string, metadata: string, embedding_model: string, embeddi (... 80 chars omitted)
      child 0, collection_name: string
      child 1, snapshot: string
      child 2, metadata: string
      child 3, embedding_model: string
      child 4, embedding_dim: int64
      child 5, distance: string
      child 6, snapshot_sha256: string
      child 7, snapshot_bytes: int64
sourceDataset: string
to
{'artifactVersion': Value('string'), 'sourceDataset': Value('string'), 'format': Value('string'), 'qdrantVersion': Value('string'), 'createdAtUnix': Value('int64'), 'collections': {'qwen_keyframes': {'rows': Value('int64'), 'dimension': Value('int64'), 'distance': Value('string')}, 'asr_segments': {'rows': Value('int64'), 'dimension': Value('int64'), 'distance': Value('string')}, 'caption_segments': {'collection_name': Value('string'), 'snapshot': Value('string'), 'metadata': Value('string'), 'embedding_model': Value('string'), 'embedding_dim': Value('int64'), 'distance': Value('string'), 'snapshot_sha256': Value('string'), 'snapshot_bytes': Value('int64')}}, 'snapshots': List({'collection': Value('string'), 'name': Value('string'), 'path': Value('string'), 'size': Value('int64')}), 'metadata': {'metadataAllJsonl': Value('string'), 'asrChunksJsonl': Value('string'), 'asrIndexMetadataJson': Value('string'), 'ocrResultsJson': 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
              point_id: string
              video_id: string
              video_path: string
              start_time: string
              end_time: string
              start_sec: double
              end_sec: double
              caption: string
              source_json: string
              source_result_dir: string
              shot_index: int64
              modality: string
              embedding_model: string
              embedding_dim: int64
              api_label: string
              asset_id: string
              retrieval_ready: bool
              caption_model: string
              analysis_mode: string
              format: string
              createdAtUnix: int64
              snapshots: list<item: struct<collection: string, name: string, path: string, size: int64>>
                child 0, item: struct<collection: string, name: string, path: string, size: int64>
                    child 0, collection: string
                    child 1, name: string
                    child 2, path: string
                    child 3, size: int64
              artifactVersion: string
              qdrantVersion: string
              metadata: struct<metadataAllJsonl: string, asrChunksJsonl: string, asrIndexMetadataJson: string, ocrResultsJso (... 10 chars omitted)
                child 0, metadataAllJsonl: string
                child 1, asrChunksJsonl: string
                child 2, asrIndexMetadataJson: string
                child 3, ocrResultsJson: string
              collections: struct<qwen_keyframes: struct<rows: int64, dimension: int64, distance: string>, asr_segments: struct (... 250 chars omitted)
                child 0, qwen_keyframes: struct<rows: int64, dimension: int64, distance: string>
                    child 0, rows: int64
                    child 1, dimension: int64
                    child 2, distance: string
                child 1, asr_segments: struct<rows: int64, dimension: int64, distance: string>
                    child 0, rows: int64
                    child 1, dimension: int64
                    child 2, distance: string
                child 2, caption_segments: struct<collection_name: string, snapshot: string, metadata: string, embedding_model: string, embeddi (... 80 chars omitted)
                    child 0, collection_name: string
                    child 1, snapshot: string
                    child 2, metadata: string
                    child 3, embedding_model: string
                    child 4, embedding_dim: int64
                    child 5, distance: string
                    child 6, snapshot_sha256: string
                    child 7, snapshot_bytes: int64
              sourceDataset: string
              to
              {'artifactVersion': Value('string'), 'sourceDataset': Value('string'), 'format': Value('string'), 'qdrantVersion': Value('string'), 'createdAtUnix': Value('int64'), 'collections': {'qwen_keyframes': {'rows': Value('int64'), 'dimension': Value('int64'), 'distance': Value('string')}, 'asr_segments': {'rows': Value('int64'), 'dimension': Value('int64'), 'distance': Value('string')}, 'caption_segments': {'collection_name': Value('string'), 'snapshot': Value('string'), 'metadata': Value('string'), 'embedding_model': Value('string'), 'embedding_dim': Value('int64'), 'distance': Value('string'), 'snapshot_sha256': Value('string'), 'snapshot_bytes': Value('int64')}}, 'snapshots': List({'collection': Value('string'), 'name': Value('string'), 'path': Value('string'), 'size': Value('int64')}), 'metadata': {'metadataAllJsonl': Value('string'), 'asrChunksJsonl': Value('string'), 'asrIndexMetadataJson': Value('string'), 'ocrResultsJson': Value('string')}}
              because column names don't match