Datasets:

---

leo-011

/

redrob-embeddings

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
collections: struct<candidates_hybrid: struct<vectors: struct<dense: struct<size: int64, distance: string, hnsw_c (... 483 chars omitted)
  child 0, candidates_hybrid: struct<vectors: struct<dense: struct<size: int64, distance: string, hnsw_config: null, quantization_ (... 456 chars omitted)
      child 0, vectors: struct<dense: struct<size: int64, distance: string, hnsw_config: null, quantization_config: null, on (... 55 chars omitted)
          child 0, dense: struct<size: int64, distance: string, hnsw_config: null, quantization_config: null, on_disk: null, d (... 40 chars omitted)
              child 0, size: int64
              child 1, distance: string
              child 2, hnsw_config: null
              child 3, quantization_config: null
              child 4, on_disk: null
              child 5, datatype: null
              child 6, multivector_config: null
      child 1, shard_number: null
      child 2, sharding_method: null
      child 3, replication_factor: null
      child 4, write_consistency_factor: null
      child 5, on_disk_payload: null
      child 6, hnsw_config: null
      child 7, wal_config: null
      child 8, optimizers_config: null
      child 9, quantization_config: null
      child 10, sparse_vectors: struct<sparse: struct<index: struct<full_scan_threshold: null, on_disk: bool, datatype: null>, modif (... 11 chars omitted)
          child 0, sparse: struct<index: struct<full_scan_threshold: null, on_disk: bool, datatype: null>, modifier: null>
              child 0, index: struct<full_scan_threshold: null, on_disk: bool, datatype: null>
                  child 0, full_scan_threshold: null
                  child 1, on_disk: bool
                  child 2, datatype: null
              child 1, modifier: null
      child 11, strict_mode_config: null
      child 12, metadata: null
aliases: struct<>
to
{'text': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
                  self.write_rows_on_file()
                  ~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
                  self._write_table(table)
                  ~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              collections: struct<candidates_hybrid: struct<vectors: struct<dense: struct<size: int64, distance: string, hnsw_c (... 483 chars omitted)
                child 0, candidates_hybrid: struct<vectors: struct<dense: struct<size: int64, distance: string, hnsw_config: null, quantization_ (... 456 chars omitted)
                    child 0, vectors: struct<dense: struct<size: int64, distance: string, hnsw_config: null, quantization_config: null, on (... 55 chars omitted)
                        child 0, dense: struct<size: int64, distance: string, hnsw_config: null, quantization_config: null, on_disk: null, d (... 40 chars omitted)
                            child 0, size: int64
                            child 1, distance: string
                            child 2, hnsw_config: null
                            child 3, quantization_config: null
                            child 4, on_disk: null
                            child 5, datatype: null
                            child 6, multivector_config: null
                    child 1, shard_number: null
                    child 2, sharding_method: null
                    child 3, replication_factor: null
                    child 4, write_consistency_factor: null
                    child 5, on_disk_payload: null
                    child 6, hnsw_config: null
                    child 7, wal_config: null
                    child 8, optimizers_config: null
                    child 9, quantization_config: null
                    child 10, sparse_vectors: struct<sparse: struct<index: struct<full_scan_threshold: null, on_disk: bool, datatype: null>, modif (... 11 chars omitted)
                        child 0, sparse: struct<index: struct<full_scan_threshold: null, on_disk: bool, datatype: null>, modifier: null>
                            child 0, index: struct<full_scan_threshold: null, on_disk: bool, datatype: null>
                                child 0, full_scan_threshold: null
                                child 1, on_disk: bool
                                child 2, datatype: null
                            child 1, modifier: null
                    child 11, strict_mode_config: null
                    child 12, metadata: null
              aliases: struct<>
              to
              {'text': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset