Datasets:

---

xyzhang626

/

LongVideoBenchmarkCaptions

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
embedding_dim: int64
data: list<item: struct<time_start_secs: double, time_end_secs: double, caption: string, subject_present: list<item: string>, __id__: string>>
matrix: string
additional_data: struct<subject_registry: struct<subject_1: struct<name: string, appearance: list<item: string>, identity: list<item: string>, first_seen: string>>, video_length: string, video_file_root: string>
vs
embedding_dim: int64
data: list<item: struct<time_start_secs: double, time_end_secs: double, caption: string, subject_present: list<item: string>, __id__: string>>
matrix: string
additional_data: struct<subject_registry: struct<subject1: struct<name: string, appearance: list<item: string>, identity: list<item: string>, first_seen: string>>, video_length: string, video_file_root: string>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/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 "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/.venv/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/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: 
              embedding_dim: int64
              data: list<item: struct<time_start_secs: double, time_end_secs: double, caption: string, subject_present: list<item: string>, __id__: string>>
              matrix: string
              additional_data: struct<subject_registry: struct<subject_1: struct<name: string, appearance: list<item: string>, identity: list<item: string>, first_seen: string>>, video_length: string, video_file_root: string>
              vs
              embedding_dim: int64
              data: list<item: struct<time_start_secs: double, time_end_secs: double, caption: string, subject_present: list<item: string>, __id__: string>>
              matrix: string
              additional_data: struct<subject_registry: struct<subject1: struct<name: string, appearance: list<item: string>, identity: list<item: string>, first_seen: string>>, video_length: string, video_file_root: string>