Datasets:

---

leshinsky

/

ru-youtube-diarization

Like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
id: int64
annotations: list<item: struct<bulk_created: bool, completed_by: int64, created_at: string, draft_created_at: string, ground_truth: bool, id: int64, import_id: null, last_action: null, last_created_by: null, lead_time: double, parent_annotation: null, parent_prediction: null, prediction: struct<cluster: null, created_ago: string, created_at: string, id: int64, mislabeling: double, model: null, model_run: null, model_version: string, neighbors: null, project: int64, result: list<item: struct<from_name: string, id: string, to_name: string, type: string, value: struct<end: double, labels: list<item: string>, start: double, text: list<item: string>>>>, score: null, task: int64, updated_at: string>, project: int64, result: list<item: struct<from_name: string, id: string, origin: string, original_length: double, to_name: string, type: string, value: struct<channel: int64, end: double, labels: list<item: string>, start: double, text: list<item: string>>>>, result_count: int64, task: int64, unique_id: string, updated_at: string, updated_by: int64, was_cancelled: bool>>
file_upload: string
drafts: list<item: null>
predictions: list<item: int64>
data: struct<audio: string>
meta: struct<>
created_at: timestamp[ns, tz=UTC]
updated_at: timestamp[ns, tz=UTC]
inner_id: int64
total_annotations: int64
cancelled_annotations: int64
total_predictions: int64
comment_count: int64
unresolved_comment_count: int64
last_comment_updated_at: timestamp[ns]
project: int64
updated_by: int64
comment_authors: list<item: null>
vs
id: int64
annotations: list<item: struct<bulk_created: bool, completed_by: int64, created_at: string, draft_created_at: string, ground_truth: bool, id: int64, import_id: null, last_action: null, last_created_by: null, lead_time: double, parent_annotation: null, parent_prediction: int64, prediction: struct<cluster: null, created_ago: string, created_at: string, id: int64, mislabeling: double, model: null, model_run: null, model_version: string, neighbors: null, project: int64, result: list<item: struct<from_name: string, id: string, to_name: string, type: string, value: struct<end: double, labels: list<item: string>, start: double, text: list<item: string>>>>, score: null, task: int64, updated_at: string>, project: int64, result: list<item: struct<from_name: string, id: string, origin: string, original_length: double, to_name: string, type: string, value: struct<channel: int64, end: double, labels: list<item: string>, start: double, text: list<item: string>>>>, result_count: int64, task: int64, unique_id: string, updated_at: string, updated_by: int64, was_cancelled: bool>>
file_upload: string
drafts: list<item: null>
predictions: list<item: int64>
data: struct<audio: string>
meta: struct<>
created_at: timestamp[ns, tz=UTC]
updated_at: timestamp[ns, tz=UTC]
inner_id: int64
total_annotations: int64
cancelled_annotations: int64
total_predictions: int64
comment_count: int64
unresolved_comment_count: int64
last_comment_updated_at: timestamp[ns]
project: int64
updated_by: int64
comment_authors: list<item: null>
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/python3.9/site-packages/datasets/iterable_dataset.py", line 3357, 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 2111, 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 2315, 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 504, 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: 
              id: int64
              annotations: list<item: struct<bulk_created: bool, completed_by: int64, created_at: string, draft_created_at: string, ground_truth: bool, id: int64, import_id: null, last_action: null, last_created_by: null, lead_time: double, parent_annotation: null, parent_prediction: null, prediction: struct<cluster: null, created_ago: string, created_at: string, id: int64, mislabeling: double, model: null, model_run: null, model_version: string, neighbors: null, project: int64, result: list<item: struct<from_name: string, id: string, to_name: string, type: string, value: struct<end: double, labels: list<item: string>, start: double, text: list<item: string>>>>, score: null, task: int64, updated_at: string>, project: int64, result: list<item: struct<from_name: string, id: string, origin: string, original_length: double, to_name: string, type: string, value: struct<channel: int64, end: double, labels: list<item: string>, start: double, text: list<item: string>>>>, result_count: int64, task: int64, unique_id: string, updated_at: string, updated_by: int64, was_cancelled: bool>>
              file_upload: string
              drafts: list<item: null>
              predictions: list<item: int64>
              data: struct<audio: string>
              meta: struct<>
              created_at: timestamp[ns, tz=UTC]
              updated_at: timestamp[ns, tz=UTC]
              inner_id: int64
              total_annotations: int64
              cancelled_annotations: int64
              total_predictions: int64
              comment_count: int64
              unresolved_comment_count: int64
              last_comment_updated_at: timestamp[ns]
              project: int64
              updated_by: int64
              comment_authors: list<item: null>
              vs
              id: int64
              annotations: list<item: struct<bulk_created: bool, completed_by: int64, created_at: string, draft_created_at: string, ground_truth: bool, id: int64, import_id: null, last_action: null, last_created_by: null, lead_time: double, parent_annotation: null, parent_prediction: int64, prediction: struct<cluster: null, created_ago: string, created_at: string, id: int64, mislabeling: double, model: null, model_run: null, model_version: string, neighbors: null, project: int64, result: list<item: struct<from_name: string, id: string, to_name: string, type: string, value: struct<end: double, labels: list<item: string>, start: double, text: list<item: string>>>>, score: null, task: int64, updated_at: string>, project: int64, result: list<item: struct<from_name: string, id: string, origin: string, original_length: double, to_name: string, type: string, value: struct<channel: int64, end: double, labels: list<item: string>, start: double, text: list<item: string>>>>, result_count: int64, task: int64, unique_id: string, updated_at: string, updated_by: int64, was_cancelled: bool>>
              file_upload: string
              drafts: list<item: null>
              predictions: list<item: int64>
              data: struct<audio: string>
              meta: struct<>
              created_at: timestamp[ns, tz=UTC]
              updated_at: timestamp[ns, tz=UTC]
              inner_id: int64
              total_annotations: int64
              cancelled_annotations: int64
              total_predictions: int64
              comment_count: int64
              unresolved_comment_count: int64
              last_comment_updated_at: timestamp[ns]
              project: int64
              updated_by: int64
              comment_authors: list<item: null>