Datasets:

---

farguney

/

trident-corpus-fwe100bt

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
b64: string
why: string
board: string
source: struct<config: string, dataset: string, fields_discarded: string, fields_used: list<item: string>, r (... 16 chars omitted)
  child 0, config: string
  child 1, dataset: string
  child 2, fields_discarded: string
  child 3, fields_used: list<item: string>
      child 0, item: string
  child 4, revision: string
corpus: struct<compressed_bytes: int64, documents: int64, documents_dropped_duplicate: int64, documents_drop (... 224 chars omitted)
  child 0, compressed_bytes: int64
  child 1, documents: int64
  child 2, documents_dropped_duplicate: int64
  child 3, documents_dropped_leak: int64
  child 4, min_doc_bytes: int64
  child 5, panel_rows_touched: list<item: null>
      child 0, item: null
  child 6, raw_bytes: int64
  child 7, repetition: string
  child 8, seconds: double
  child 9, separator: string
  child 10, sha256_of_concatenated_documents: string
  child 11, skipped_short_documents: int64
decontamination: struct<independent_rescan: string, method: string>
  child 0, independent_rescan: string
  child 1, method: string
dedupe: string
abi: string
panel: struct<digest: string, rows: int64>
  child 0, digest: string
  child 1, rows: int64
to
{'abi': Value('string'), 'board': Value('string'), 'corpus': {'compressed_bytes': Value('int64'), 'documents': Value('int64'), 'documents_dropped_duplicate': Value('int64'), 'documents_dropped_leak': Value('int64'), 'min_doc_bytes': Value('int64'), 'panel_rows_touched': List(Value('null')), 'raw_bytes': Value('int64'), 'repetition': Value('string'), 'seconds': Value('float64'), 'separator': Value('string'), 'sha256_of_concatenated_documents': Value('string'), 'skipped_short_documents': Value('int64')}, 'decontamination': {'independent_rescan': Value('string'), 'method': Value('string')}, 'dedupe': Value('string'), 'panel': {'digest': Value('string'), 'rows': Value('int64')}, 'source': {'config': Value('string'), 'dataset': Value('string'), 'fields_discarded': Value('string'), 'fields_used': List(Value('string')), 'revision': Value('string')}, 'why': 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
              id: string
              b64: string
              why: string
              board: string
              source: struct<config: string, dataset: string, fields_discarded: string, fields_used: list<item: string>, r (... 16 chars omitted)
                child 0, config: string
                child 1, dataset: string
                child 2, fields_discarded: string
                child 3, fields_used: list<item: string>
                    child 0, item: string
                child 4, revision: string
              corpus: struct<compressed_bytes: int64, documents: int64, documents_dropped_duplicate: int64, documents_drop (... 224 chars omitted)
                child 0, compressed_bytes: int64
                child 1, documents: int64
                child 2, documents_dropped_duplicate: int64
                child 3, documents_dropped_leak: int64
                child 4, min_doc_bytes: int64
                child 5, panel_rows_touched: list<item: null>
                    child 0, item: null
                child 6, raw_bytes: int64
                child 7, repetition: string
                child 8, seconds: double
                child 9, separator: string
                child 10, sha256_of_concatenated_documents: string
                child 11, skipped_short_documents: int64
              decontamination: struct<independent_rescan: string, method: string>
                child 0, independent_rescan: string
                child 1, method: string
              dedupe: string
              abi: string
              panel: struct<digest: string, rows: int64>
                child 0, digest: string
                child 1, rows: int64
              to
              {'abi': Value('string'), 'board': Value('string'), 'corpus': {'compressed_bytes': Value('int64'), 'documents': Value('int64'), 'documents_dropped_duplicate': Value('int64'), 'documents_dropped_leak': Value('int64'), 'min_doc_bytes': Value('int64'), 'panel_rows_touched': List(Value('null')), 'raw_bytes': Value('int64'), 'repetition': Value('string'), 'seconds': Value('float64'), 'separator': Value('string'), 'sha256_of_concatenated_documents': Value('string'), 'skipped_short_documents': Value('int64')}, 'decontamination': {'independent_rescan': Value('string'), 'method': Value('string')}, 'dedupe': Value('string'), 'panel': {'digest': Value('string'), 'rows': Value('int64')}, 'source': {'config': Value('string'), 'dataset': Value('string'), 'fields_discarded': Value('string'), 'fields_used': List(Value('string')), 'revision': Value('string')}, 'why': Value('string')}
              because column names don't match