Datasets:

---

lucky9-cyou

/

mimic-iv-waveform-mcma

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
source_hf_root: string
target_fs: null
n_input_examples: int64
n_kept_examples: int64
n_dropped_nan_or_inf: int64
n_dropped_no_valid_metrics: int64
n_output_shards: int64
global_avg_metrics: struct<mae: double, mse: double, corr: double, n_values: int64>
per_lead_avg_metrics: struct<lead_names: list<item: string>, mae: list<item: double>, mse: list<item: double>, corr: list<item: double>, counts: list<item: int64>>
vs
_data_files: list<item: struct<filename: string>>
_fingerprint: string
_format_columns: null
_format_kwargs: struct<>
_format_type: null
_output_all_columns: bool
_split: null
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, 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
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              source_hf_root: string
              target_fs: null
              n_input_examples: int64
              n_kept_examples: int64
              n_dropped_nan_or_inf: int64
              n_dropped_no_valid_metrics: int64
              n_output_shards: int64
              global_avg_metrics: struct<mae: double, mse: double, corr: double, n_values: int64>
              per_lead_avg_metrics: struct<lead_names: list<item: string>, mae: list<item: double>, mse: list<item: double>, corr: list<item: double>, counts: list<item: int64>>
              vs
              _data_files: list<item: struct<filename: string>>
              _fingerprint: string
              _format_columns: null
              _format_kwargs: struct<>
              _format_type: null
              _output_all_columns: bool
              _split: null