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Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
species: string
clip_id: string
zone: string
captured_at: string
duration_seconds: int64
consensus_confidence: int64
vs
species: string
published_clips: int64
total_duration_seconds: int64
mean_consensus_confidence: int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 606, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5012, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              species: string
              clip_id: string
              zone: string
              captured_at: string
              duration_seconds: int64
              consensus_confidence: int64
              vs
              species: string
              published_clips: int64
              total_duration_seconds: int64
              mean_consensus_confidence: int64

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Pelagic Call Consensus

Release: PEL-317-R4

This dataset records calls accepted by a fixed three-analyst review panel. Source audio and individual votes are intentionally excluded.

Release totals

  • Published calls: 3
  • Published duration (seconds): 55

Species coverage

Species Published clips Duration (seconds) Mean consensus confidence
humpback 1 10 77
orca 1 20 77
blue_whale 1 25 85

The decision ledger includes every registered clip and the first applicable review reason.

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