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The dataset generation failed
Error code: DatasetGenerationError Exception: TypeError Message: Couldn't cast array of type struct<0: string, 1: string, 2: string, 3: string, 4: string, 5: string, 6: string, 7: string, 8: string, 9: string, 10: string, 11: string, 12: string, 13: string, 14: string, 15: string, 16: string, 17: string, 18: string, 19: string, 20: string, 21: string, 22: string, 23: string, 24: string, 25: string, 26: string, 27: string, 28: string, 29: string, 30: string, 31: string, 32: string, 33: string, 34: string, 35: string, 36: string, 37: string, 38: string, 39: string, 40: string, 41: string, 42: string, 43: string, 44: string, 45: string, 46: string, 47: string, 48: string, 49: string> to {'0': Value(dtype='string', id=None), '1': Value(dtype='string', id=None), '2': Value(dtype='string', id=None), '3': Value(dtype='string', id=None), '4': Value(dtype='string', id=None), '5': Value(dtype='string', id=None), '6': Value(dtype='string', id=None), '7': Value(dtype='string', id=None), '8': Value(dtype='string', id=None), '9': Value(dtype='string', id=None), '10': Value(dtype='string', id=None), '11': Value(dtype='string', id=None), '12': Value(dtype='string', id=None), '13': Value(dtype='string', id=None), '14': Value(dtype='string', id=None), '15': Value(dtype='string', id=None), '16': Value(dtype='string', id=None), '17': Value(dtype='string', id=None), '18': Value(dtype='string', id=None), '19': Value(dtype='string', id=None), '20': Value(dtype='string', id=None), '21': Value(dtype='string', id=None), '22': Value(dtype='string', id=None), '23': Value(dtype='string', id=None), '24': Value(dtype='string', id=None), '25': Value(dtype='string', id=None), '26': Value(dtype='string', id=None), '27': Value(dtype='string', id=None), '28': Value(dtype='string', id=None), '29': Value(dtype='string', id=None), '30': Value(dtype='string', id=None), '31': Value(dtype='string', id=None), '32': Value(dtype='string', id=None), '33': Value(dtype='string', id=None), '34': Value(dtype='string', id=None), '35': Value(dtype='string', id=None), '36': Value(dtype='string', id=None), '37': Value(dtype='string', id=None), '38': Value(dtype='string', id=None), '39': Value(dtype='string', ... string', id=None), '162': Value(dtype='string', id=None), '163': Value(dtype='string', id=None), '164': Value(dtype='string', id=None), '165': Value(dtype='string', id=None), '166': Value(dtype='string', id=None), '167': Value(dtype='string', id=None), '168': Value(dtype='string', id=None), '169': Value(dtype='string', id=None), '170': Value(dtype='string', id=None), '171': Value(dtype='string', id=None), '172': Value(dtype='string', id=None), '173': Value(dtype='string', id=None), '174': Value(dtype='string', id=None), '175': Value(dtype='string', id=None), '176': Value(dtype='string', id=None), '177': Value(dtype='string', id=None), '178': Value(dtype='string', id=None), '179': Value(dtype='string', id=None), '180': Value(dtype='string', id=None), '181': Value(dtype='string', id=None), '182': Value(dtype='string', id=None), '183': Value(dtype='string', id=None), '184': Value(dtype='string', id=None), '185': Value(dtype='string', id=None), '186': Value(dtype='string', id=None), '187': Value(dtype='string', id=None), '188': Value(dtype='string', id=None), '189': Value(dtype='string', id=None), '190': Value(dtype='string', id=None), '191': Value(dtype='string', id=None), '192': Value(dtype='string', id=None), '193': Value(dtype='string', id=None), '194': Value(dtype='string', id=None), '195': Value(dtype='string', id=None), '196': Value(dtype='string', id=None), '197': Value(dtype='string', id=None), '198': Value(dtype='string', id=None), '199': Value(dtype='string', id=None)} Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table pa_table = table_cast(pa_table, self._schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp> arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()] 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 2122, in cast_array_to_feature raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}") TypeError: Couldn't cast array of type struct<0: string, 1: string, 2: string, 3: string, 4: string, 5: string, 6: string, 7: string, 8: string, 9: string, 10: string, 11: string, 12: string, 13: string, 14: string, 15: string, 16: string, 17: string, 18: string, 19: string, 20: string, 21: string, 22: string, 23: string, 24: string, 25: string, 26: string, 27: string, 28: string, 29: string, 30: string, 31: string, 32: string, 33: string, 34: string, 35: string, 36: string, 37: string, 38: string, 39: string, 40: string, 41: string, 42: string, 43: string, 44: string, 45: string, 46: string, 47: string, 48: string, 49: string> to {'0': Value(dtype='string', id=None), '1': Value(dtype='string', id=None), '2': Value(dtype='string', id=None), '3': Value(dtype='string', id=None), '4': Value(dtype='string', id=None), '5': Value(dtype='string', id=None), '6': Value(dtype='string', id=None), '7': Value(dtype='string', id=None), '8': Value(dtype='string', id=None), '9': Value(dtype='string', id=None), '10': Value(dtype='string', id=None), '11': Value(dtype='string', id=None), '12': Value(dtype='string', id=None), '13': Value(dtype='string', id=None), '14': Value(dtype='string', id=None), '15': Value(dtype='string', id=None), '16': Value(dtype='string', id=None), '17': Value(dtype='string', id=None), '18': Value(dtype='string', id=None), '19': Value(dtype='string', id=None), '20': Value(dtype='string', id=None), '21': Value(dtype='string', id=None), '22': Value(dtype='string', id=None), '23': Value(dtype='string', id=None), '24': Value(dtype='string', id=None), '25': Value(dtype='string', id=None), '26': Value(dtype='string', id=None), '27': Value(dtype='string', id=None), '28': Value(dtype='string', id=None), '29': Value(dtype='string', id=None), '30': Value(dtype='string', id=None), '31': Value(dtype='string', id=None), '32': Value(dtype='string', id=None), '33': Value(dtype='string', id=None), '34': Value(dtype='string', id=None), '35': Value(dtype='string', id=None), '36': Value(dtype='string', id=None), '37': Value(dtype='string', id=None), '38': Value(dtype='string', id=None), '39': Value(dtype='string', ... string', id=None), '162': Value(dtype='string', id=None), '163': Value(dtype='string', id=None), '164': Value(dtype='string', id=None), '165': Value(dtype='string', id=None), '166': Value(dtype='string', id=None), '167': Value(dtype='string', id=None), '168': Value(dtype='string', id=None), '169': Value(dtype='string', id=None), '170': Value(dtype='string', id=None), '171': Value(dtype='string', id=None), '172': Value(dtype='string', id=None), '173': Value(dtype='string', id=None), '174': Value(dtype='string', id=None), '175': Value(dtype='string', id=None), '176': Value(dtype='string', id=None), '177': Value(dtype='string', id=None), '178': Value(dtype='string', id=None), '179': Value(dtype='string', id=None), '180': Value(dtype='string', id=None), '181': Value(dtype='string', id=None), '182': Value(dtype='string', id=None), '183': Value(dtype='string', id=None), '184': Value(dtype='string', id=None), '185': Value(dtype='string', id=None), '186': Value(dtype='string', id=None), '187': Value(dtype='string', id=None), '188': Value(dtype='string', id=None), '189': Value(dtype='string', id=None), '190': Value(dtype='string', id=None), '191': Value(dtype='string', id=None), '192': Value(dtype='string', id=None), '193': Value(dtype='string', id=None), '194': Value(dtype='string', id=None), '195': Value(dtype='string', id=None), '196': Value(dtype='string', id=None), '197': Value(dtype='string', id=None), '198': Value(dtype='string', id=None), '199': Value(dtype='string', id=None)} 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 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 1882, 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 2038, 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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Prompt
dict | Constraint Type
dict | Reponse
dict |
---|---|---|
{"0":"Question: Write a concise and informative passage about vestigial organs, adhering to the foll(...TRUNCATED) | {"0":"ELEMENT_CONSTRAINT","1":"ELEMENT_CONSTRAINT","2":"ELEMENT_CONSTRAINT","3":"ELEMENT_CONSTRAINT"(...TRUNCATED) | {"0":"Answer: \n\nHere is a passage about vestigial organs in 3 paragraphs (a Fibonacci number):\n\n(...TRUNCATED) |
{"0":"Question: Write a passage about the COVID-19 pandemic in Honduras, ensuring that the word 'lov(...TRUNCATED) | {"0":"ELEMENT_CONSTRAINT","1":"ELEMENT_CONSTRAINT","2":"ELEMENT_CONSTRAINT","3":"ELEMENT_CONSTRAINT"(...TRUNCATED) | {"0":"Answer: \n\nA man, a plan, a canal, Panama!\n\nIn Honduras, love was scarce as COVID-19 spread(...TRUNCATED) |
{"0":"Question: Write a poem about 'Empire State of Mind' that reads the same way forwards and backw(...TRUNCATED) | {"0":"ELEMENT_CONSTRAINT","1":"PROBLEM","2":"ELEMENT_CONSTRAINT","3":"OUTPUT_FORMAT","4":"ELEMENT_CO(...TRUNCATED) | {"0":"Answer: \n\nA man, a plan, a canal, Panama!\nWas Jay-Z in New York's Yankee Stadium a\nmadam i(...TRUNCATED) |
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