Dataset Viewer
The dataset viewer is not available for this split.
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: experiment: string model: string conditioning: string prompt_type: string path_to_video: string path_to_frames: string individual_statistical_scores: struct<MSE: double, NMSE: double> statistical_score: double vs experiment: string model: string conditioning: string prompt_type: string path_to_video: string path_to_frames: string trajectory_filtering: struct<discard_details: struct<1: struct<is_discarded: bool, discard_reason: null>, 2: struct<is_discarded: bool, discard_reason: null>>, gap_threshold: double, min_trajectory_length: double, min_valid_percentage: double> 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 3339, 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 2096, 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 2300, 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: experiment: string model: string conditioning: string prompt_type: string path_to_video: string path_to_frames: string individual_statistical_scores: struct<MSE: double, NMSE: double> statistical_score: double vs experiment: string model: string conditioning: string prompt_type: string path_to_video: string path_to_frames: string trajectory_filtering: struct<discard_details: struct<1: struct<is_discarded: bool, discard_reason: null>, 2: struct<is_discarded: bool, discard_reason: null>>, gap_threshold: double, min_trajectory_length: double, min_valid_percentage: double>
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