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: code_blocks: list<item: struct<id: string, parent_id: string, file_path: string, type: string, name: string, start_line: int64, end_line: int64, source_code: string, docstring: string, dependencies: list<item: string>, level: int64, structural_vector: list<item: double>, semantic_embedding: list<item: double>>> vs code_blocks: struct<dependencies: list<item: string>, docstring: string, end_line: int64, file_path: string, id: string, level: int64, name: string, parent_id: string, semantic_embedding: list<item: double>, source_code: string, start_line: int64, structural_vector: list<item: double>, type: 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/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, 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 2187, 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 2391, in iter for key, example in iterator: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, 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 1904, 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 543, 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: code_blocks: list<item: struct<id: string, parent_id: string, file_path: string, type: string, name: string, start_line: int64, end_line: int64, source_code: string, docstring: string, dependencies: list<item: string>, level: int64, structural_vector: list<item: double>, semantic_embedding: list<item: double>>> vs code_blocks: struct<dependencies: list<item: string>, docstring: string, end_line: int64, file_path: string, id: string, level: int64, name: string, parent_id: string, semantic_embedding: list<item: double>, source_code: string, start_line: int64, structural_vector: list<item: double>, type: string>
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