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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    ArrowNotImplementedError
Message:      Cannot write struct type 'hashes' with no child field to Parquet. Consider adding a dummy child field.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 712, in write_table
                  self._build_writer(inferred_schema=pa_table.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'hashes' with no child field to Parquet. Consider adding a dummy child field.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1847, in _prepare_split_single
                  num_examples, num_bytes = writer.finalize()
                                            ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 731, in finalize
                  self._build_writer(self.schema)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 757, in _build_writer
                  self.pa_writer = pq.ParquetWriter(
                                   ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
                  self.writer = _parquet.ParquetWriter(
                                ^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'hashes' with no child field to Parquet. Consider adding a dummy child field.
              
              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 1334, 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 911, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1858, 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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version
int64
shards
dict
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00000.mds", "bytes": 67106545, "hashes": {} }, "samples": 17499, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00001.mds", "bytes": 67105663, "hashes": {} }, "samples": 17393, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00002.mds", "bytes": 67105908, "hashes": {} }, "samples": 17160, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00003.mds", "bytes": 67107839, "hashes": {} }, "samples": 17289, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00004.mds", "bytes": 67108345, "hashes": {} }, "samples": 17356, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00005.mds", "bytes": 67104944, "hashes": {} }, "samples": 17471, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00006.mds", "bytes": 67108043, "hashes": {} }, "samples": 17552, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00007.mds", "bytes": 67108381, "hashes": {} }, "samples": 17230, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00008.mds", "bytes": 67107190, "hashes": {} }, "samples": 17364, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00009.mds", "bytes": 67108279, "hashes": {} }, "samples": 17278, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00010.mds", "bytes": 67107183, "hashes": {} }, "samples": 18371, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00011.mds", "bytes": 67108246, "hashes": {} }, "samples": 17304, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00012.mds", "bytes": 67108857, "hashes": {} }, "samples": 17510, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00013.mds", "bytes": 67107995, "hashes": {} }, "samples": 17051, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00014.mds", "bytes": 67106515, "hashes": {} }, "samples": 17123, "size_limit": 67108864, "version": 2, "zip_data": null }
2
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2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00016.mds", "bytes": 67106214, "hashes": {} }, "samples": 17248, "size_limit": 67108864, "version": 2, "zip_data": null }
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{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00017.mds", "bytes": 67106966, "hashes": {} }, "samples": 17494, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00018.mds", "bytes": 67105349, "hashes": {} }, "samples": 17129, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00019.mds", "bytes": 67108628, "hashes": {} }, "samples": 18020, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00020.mds", "bytes": 67104397, "hashes": {} }, "samples": 16985, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00021.mds", "bytes": 67107252, "hashes": {} }, "samples": 17165, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00022.mds", "bytes": 67106507, "hashes": {} }, "samples": 18311, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00023.mds", "bytes": 67108833, "hashes": {} }, "samples": 17322, "size_limit": 67108864, "version": 2, "zip_data": null }
2
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2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00025.mds", "bytes": 67105493, "hashes": {} }, "samples": 18265, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00026.mds", "bytes": 67102260, "hashes": {} }, "samples": 17396, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00027.mds", "bytes": 67108394, "hashes": {} }, "samples": 17632, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00028.mds", "bytes": 67104273, "hashes": {} }, "samples": 16601, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00029.mds", "bytes": 67108265, "hashes": {} }, "samples": 17882, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00030.mds", "bytes": 67108258, "hashes": {} }, "samples": 17385, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00031.mds", "bytes": 67107975, "hashes": {} }, "samples": 16776, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00032.mds", "bytes": 67107582, "hashes": {} }, "samples": 16824, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00033.mds", "bytes": 67107435, "hashes": {} }, "samples": 17030, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00034.mds", "bytes": 67108280, "hashes": {} }, "samples": 18282, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00035.mds", "bytes": 67106812, "hashes": {} }, "samples": 16545, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00036.mds", "bytes": 67108176, "hashes": {} }, "samples": 17014, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00037.mds", "bytes": 38885382, "hashes": {} }, "samples": 10423, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00038.mds", "bytes": 67107617, "hashes": {} }, "samples": 17230, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00039.mds", "bytes": 67107055, "hashes": {} }, "samples": 18036, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00040.mds", "bytes": 67107847, "hashes": {} }, "samples": 17210, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00041.mds", "bytes": 67105474, "hashes": {} }, "samples": 17606, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00042.mds", "bytes": 67108355, "hashes": {} }, "samples": 17099, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00043.mds", "bytes": 67106721, "hashes": {} }, "samples": 17079, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00044.mds", "bytes": 67106815, "hashes": {} }, "samples": 17299, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00045.mds", "bytes": 67106232, "hashes": {} }, "samples": 18440, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00046.mds", "bytes": 67107811, "hashes": {} }, "samples": 18194, "size_limit": 67108864, "version": 2, "zip_data": null }
2
{ "column_encodings": [ "ndarray:uint16", "int" ], "column_names": [ "input_ids", "len" ], "column_sizes": [ null, 8 ], "compression": null, "format": "mds", "hashes": [ "sha1", "xxh64" ], "raw_data": { "basename": "shard.00047.mds", "bytes": 67103499, "hashes": {} }, "samples": 17282, "size_limit": 67108864, "version": 2, "zip_data": null }
2
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