Datasets:

---

orionweller

/

ext-randomized-v2-mid-langs

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
version: int64
shards: list<item: struct<column_encodings: list<item: string>, column_names: list<item: string>, column_sizes: list<item: null>, compression: string, format: string, hashes: list<item: null>, raw_data: struct<basename: string, bytes: int64, hashes: struct<>>, samples: int64, size_limit: int64, version: int64, zip_data: struct<basename: string, bytes: int64, hashes: struct<>>>>
vs
checkpoint: int64
tokens_sampled: int64
total_tokens: int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3335, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2096, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2296, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1878, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 520, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              version: int64
              shards: list<item: struct<column_encodings: list<item: string>, column_names: list<item: string>, column_sizes: list<item: null>, compression: string, format: string, hashes: list<item: null>, raw_data: struct<basename: string, bytes: int64, hashes: struct<>>, samples: int64, size_limit: int64, version: int64, zip_data: struct<basename: string, bytes: int64, hashes: struct<>>>>
              vs
              checkpoint: int64
              tokens_sampled: int64
              total_tokens: int64