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The dataset generation failed
Error code: DatasetGenerationError Exception: TypeError Message: Mask must be a pyarrow.Array of type boolean Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1775, in _prepare_split_single num_examples, num_bytes = writer.finalize() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 599, in finalize self.write_examples_on_file() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 458, in write_examples_on_file self.write_batch(batch_examples=batch_examples) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 572, in write_batch self.write_table(pa_table, writer_batch_size) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 587, in write_table pa_table = embed_table_storage(pa_table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2280, in embed_table_storage arrays = [ File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2281, in <listcomp> embed_array_storage(table[name], feature) if require_storage_embed(feature) else table[name] File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp> return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks]) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2154, in embed_array_storage return feature.embed_storage(array) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/features/image.py", line 283, in embed_storage storage = pa.StructArray.from_arrays([bytes_array, path_array], ["bytes", "path"], mask=bytes_array.is_null()) File "pyarrow/array.pxi", line 3257, in pyarrow.lib.StructArray.from_arrays File "pyarrow/array.pxi", line 3697, in pyarrow.lib.c_mask_inverted_from_obj TypeError: Mask must be a pyarrow.Array of type boolean The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, in compute_config_parquet_and_info_response parquet_operations = convert_to_parquet(builder) File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1789, in _download_and_prepare super()._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare self._prepare_split(split_generator, **prepare_split_kwargs) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1627, in _prepare_split for job_id, done, content in self._prepare_split_single( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1784, in _prepare_split_single raise DatasetGenerationError("An error occurred while generating the dataset") from e datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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0train_sample3_vol0
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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1train_sample3_vol1
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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2train_sample3_vol2
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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3train_sample3_vol3
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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4train_sample3_vol4
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