Datasets:

---

MickeyLLG

/

ego_plan

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
date: string
version: string
description: string
videos: list<item: struct<video_uid: string, split: string, clips: list<item: struct<clip_uid: string, source_clip_uid: string, video_uid: string, video_start_sec: double, video_end_sec: double, video_start_frame: int64, video_end_frame: int64, clip_start_sec: int64, clip_end_sec: double, clip_start_frame: int64, clip_end_frame: int64, valid: bool, camera_wearer: struct<person_id: string, camera_wearer: bool, tracking_paths: list<item: null>, voice_segments: list<item: struct<start_time: double, end_time: double, start_frame: int64, end_frame: int64, video_start_time: double, video_end_time: double, video_start_frame: int64, video_end_frame: int64, person: string>>>, persons: list<item: struct<person_id: string, camera_wearer: bool, tracking_paths: list<item: struct<track_id: string, track: list<item: struct<x: double, y: double, width: double, height: double, frame: int64, video_frame: int64, clip_frame: null>>, suspect: bool, unmapped_frames_count: int64, unmapped_frames: list<item: int64>>>, voice_segments: list<item: struct<start_time: double, end_time: double, start_frame: int64, end_frame: int64, video_start_time: double, video_end_time: double, video_start_frame: int64, video_end_frame: int64, person: string>>>>, missing_voice_segments: list<item: null>, transcriptions: list<item: struct<transcription: string, start_time_sec: double, end_time_sec: double, person_id: string, video_start_time: double, video_start_frame: int64, video_end_time: double, video_end_frame: int64>>, social_segments_talking: list<item: struct<start_time: double, end_time: double, start_frame: int64, end_frame: int64, video_start_time: double, video_end_time: double, video_start_frame: int64, video_end_frame: int64, person: string, target: string, is_at_me: bool>>, social_segments_looking: list<item: struct<start_time: double, end_time: double, start_frame: int64, end_frame: int64, video_start_time: double, video_end_time: double, video_start_frame: int64, video_end_frame: int64, person: string, target: null, is_at_me: bool>>>>>>
vs
version: string
date: string
description: string
manifest: string
split: string
clips: struct<clip_id: int64, clip_uid: string, frames: list<item: struct<action_clip_end_frame: int64, action_clip_end_sec: double, action_clip_start_frame: int64, action_clip_start_sec: double, action_end_frame: int64, action_end_sec: double, action_start_frame: int64, action_start_sec: double, contact_frame: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pnr_frame: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, post_frame: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pre_15: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pre_30: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pre_45: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pre_frame: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>>>, video_uid: string>
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 547, 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: 
              date: string
              version: string
              description: string
              videos: list<item: struct<video_uid: string, split: string, clips: list<item: struct<clip_uid: string, source_clip_uid: string, video_uid: string, video_start_sec: double, video_end_sec: double, video_start_frame: int64, video_end_frame: int64, clip_start_sec: int64, clip_end_sec: double, clip_start_frame: int64, clip_end_frame: int64, valid: bool, camera_wearer: struct<person_id: string, camera_wearer: bool, tracking_paths: list<item: null>, voice_segments: list<item: struct<start_time: double, end_time: double, start_frame: int64, end_frame: int64, video_start_time: double, video_end_time: double, video_start_frame: int64, video_end_frame: int64, person: string>>>, persons: list<item: struct<person_id: string, camera_wearer: bool, tracking_paths: list<item: struct<track_id: string, track: list<item: struct<x: double, y: double, width: double, height: double, frame: int64, video_frame: int64, clip_frame: null>>, suspect: bool, unmapped_frames_count: int64, unmapped_frames: list<item: int64>>>, voice_segments: list<item: struct<start_time: double, end_time: double, start_frame: int64, end_frame: int64, video_start_time: double, video_end_time: double, video_start_frame: int64, video_end_frame: int64, person: string>>>>, missing_voice_segments: list<item: null>, transcriptions: list<item: struct<transcription: string, start_time_sec: double, end_time_sec: double, person_id: string, video_start_time: double, video_start_frame: int64, video_end_time: double, video_end_frame: int64>>, social_segments_talking: list<item: struct<start_time: double, end_time: double, start_frame: int64, end_frame: int64, video_start_time: double, video_end_time: double, video_start_frame: int64, video_end_frame: int64, person: string, target: string, is_at_me: bool>>, social_segments_looking: list<item: struct<start_time: double, end_time: double, start_frame: int64, end_frame: int64, video_start_time: double, video_end_time: double, video_start_frame: int64, video_end_frame: int64, person: string, target: null, is_at_me: bool>>>>>>
              vs
              version: string
              date: string
              description: string
              manifest: string
              split: string
              clips: struct<clip_id: int64, clip_uid: string, frames: list<item: struct<action_clip_end_frame: int64, action_clip_end_sec: double, action_clip_start_frame: int64, action_clip_start_sec: double, action_end_frame: int64, action_end_sec: double, action_start_frame: int64, action_start_sec: double, contact_frame: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pnr_frame: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, post_frame: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pre_15: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pre_30: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pre_45: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>, pre_frame: struct<boxes: list<item: struct<left_hand: list<item: double>, right_hand: list<item: double>>>, clip_frame: int64, frame: int64>>>, video_uid: string>