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Error code: FeaturesError Exception: ArrowInvalid Message: Schema at index 1 was different: alpha_pattern: struct<> auto_mapping: null base_model_name_or_path: string bias: string fan_in_fan_out: bool inference_mode: bool init_lora_weights: bool layer_replication: null layers_pattern: null layers_to_transform: null loftq_config: struct<> lora_alpha: int64 lora_dropout: double megatron_config: null megatron_core: string modules_to_save: null peft_type: string r: int64 rank_pattern: struct<> revision: null target_modules: list<item: string> task_type: string use_dora: bool use_rslora: bool vs id: int64 image: string conversations: list<item: struct<from: string, value: string>> Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, 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 3335, 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 2296, 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 520, 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: alpha_pattern: struct<> auto_mapping: null base_model_name_or_path: string bias: string fan_in_fan_out: bool inference_mode: bool init_lora_weights: bool layer_replication: null layers_pattern: null layers_to_transform: null loftq_config: struct<> lora_alpha: int64 lora_dropout: double megatron_config: null megatron_core: string modules_to_save: null peft_type: string r: int64 rank_pattern: struct<> revision: null target_modules: list<item: string> task_type: string use_dora: bool use_rslora: bool vs id: int64 image: string conversations: list<item: struct<from: string, value: string>>
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