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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 1768, in _prepare_split_single writer.write(example, key) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 500, in write 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 During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1777, 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 1524, in compute_config_parquet_and_info_response parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet( File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1099, in stream_convert_to_parquet builder._prepare_split( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1629, 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 1786, 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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0141_212_110_53_20220407_120036
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0141_212_110_53_20220407_120036
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1141_212_110_53_20220407_122435
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1141_212_110_53_20220407_122435
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2141_212_110_53_20220407_122939
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2141_212_110_53_20220407_122939
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3141_212_110_53_20220407_123642
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3141_212_110_53_20220407_123642
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4141_212_110_53_20220407_124204
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4141_212_110_53_20220407_124204
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5141_212_110_53_20220407_125051
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5141_212_110_53_20220407_125051
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6141_212_110_53_20220407_161135
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6141_212_110_53_20220407_161135
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7141_212_110_53_20220407_163720
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7141_212_110_53_20220407_163720
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8141_212_110_53_20220407_170042
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8141_212_110_53_20220407_170042
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9141_212_110_53_20220407_171257
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9141_212_110_53_20220407_171257
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10141_212_110_53_20220408_130150
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10141_212_110_53_20220408_130150
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11141_212_110_53_20220408_135406
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11141_212_110_53_20220408_135406
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12141_212_110_53_20220408_140239
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12141_212_110_53_20220408_140239
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13141_212_110_53_20220408_141329
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13141_212_110_53_20220408_141329
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14141_212_110_53_20220408_142259
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14141_212_110_53_20220408_142259
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15141_212_110_53_20220408_151443
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15141_212_110_53_20220408_151443
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16141_212_110_53_20220408_153152
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16141_212_110_53_20220408_153152
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17141_212_110_53_20220408_154431
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17141_212_110_53_20220408_154431
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18141_212_110_53_20220408_155611
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18141_212_110_53_20220408_155611
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19141_212_110_53_20220411_141612
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19141_212_110_53_20220411_141612
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20141_212_110_53_20220411_142447
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21141_212_110_53_20220411_143329
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21141_212_110_53_20220411_143329
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22141_212_110_53_20220411_144724
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22141_212_110_53_20220411_144724
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23141_212_110_53_20220411_150137
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23141_212_110_53_20220411_150137
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24141_212_110_53_20220412_103433
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24141_212_110_53_20220412_103433
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25141_212_110_53_20220412_104111
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25141_212_110_53_20220412_104111
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26141_212_110_53_20220412_104749
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26141_212_110_53_20220412_104749
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27141_212_110_53_20220412_105302
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27141_212_110_53_20220412_105302
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28141_212_110_53_20220412_105754
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28141_212_110_53_20220412_105754
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29141_212_110_53_20220412_151402
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29141_212_110_53_20220412_151402
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30141_212_110_53_20220412_152929
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30141_212_110_53_20220412_152929
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31141_212_110_53_20220412_153758
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31141_212_110_53_20220412_153758
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32141_212_110_53_20220412_154907
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32141_212_110_53_20220412_154907
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33141_212_110_53_20220412_155738
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33141_212_110_53_20220412_155738
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34141_212_110_53_20220414_102659
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34141_212_110_53_20220414_102659
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35141_212_110_53_20220414_105324
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35141_212_110_53_20220414_105324
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36141_212_110_53_20220414_111052
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36141_212_110_53_20220414_111052
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37141_212_110_53_20220414_113656
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37141_212_110_53_20220414_113656
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38141_212_110_53_20220414_114330
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38141_212_110_53_20220414_114330
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39141_212_110_53_20220414_121258
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39141_212_110_53_20220414_121258
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40141_212_110_53_20220414_122734
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40141_212_110_53_20220414_122734
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41141_212_110_53_20220414_123550
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42141_212_110_53_20220414_124131
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42141_212_110_53_20220414_124131
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43141_212_110_53_20220414_124701
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43141_212_110_53_20220414_124701
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44141_212_110_53_20220414_125550
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44141_212_110_53_20220414_125550
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45141_212_110_53_20220414_141258
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45141_212_110_53_20220414_141258
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46141_212_110_53_20220414_171303
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46141_212_110_53_20220414_171303
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47141_212_110_53_20220414_174302
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47141_212_110_53_20220414_174302
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48141_212_110_53_20220414_181018
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48141_212_110_53_20220414_181018
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49141_212_110_53_20220415_112213
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49141_212_110_53_20220415_112213
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50141_212_110_53_20220415_114002
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50141_212_110_53_20220415_114002
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