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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 4 new columns ({'user_id', 'id', 'profile', 'input'}) and 2 missing columns ({'task', 'golds'}).

This happened while the json dataset builder was generating data using

hf://datasets/Hannahisme/LaMP_1_time-based/train_questions.json (at revision b4fadc6cd545689c751c7dacb7cd4e27e941b99d)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
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 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id: string
              input: string
              profile: list<item: struct<abstract: string, date: int64, id: string, title: string>>
                child 0, item: struct<abstract: string, date: int64, id: string, title: string>
                    child 0, abstract: string
                    child 1, date: int64
                    child 2, id: string
                    child 3, title: string
              user_id: int64
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 546
              to
              {'task': Value('string'), 'golds': {'id': Value('string'), 'output': Value('string')}}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1455, 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 1054, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                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 1833, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 4 new columns ({'user_id', 'id', 'profile', 'input'}) and 2 missing columns ({'task', 'golds'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Hannahisme/LaMP_1_time-based/train_questions.json (at revision b4fadc6cd545689c751c7dacb7cd4e27e941b99d)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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task
string
golds
dict
LaMP_1
{ "id": "700", "output": "[2]" }
LaMP_1
{ "id": "701", "output": "[2]" }
LaMP_1
{ "id": "702", "output": "[1]" }
LaMP_1
{ "id": "703", "output": "[1]" }
LaMP_1
{ "id": "704", "output": "[2]" }
LaMP_1
{ "id": "705", "output": "[2]" }
LaMP_1
{ "id": "706", "output": "[2]" }
LaMP_1
{ "id": "707", "output": "[2]" }
LaMP_1
{ "id": "708", "output": "[1]" }
LaMP_1
{ "id": "709", "output": "[2]" }
LaMP_1
{ "id": "7010", "output": "[2]" }
LaMP_1
{ "id": "7011", "output": "[1]" }
LaMP_1
{ "id": "7012", "output": "[1]" }
LaMP_1
{ "id": "7013", "output": "[1]" }
LaMP_1
{ "id": "7014", "output": "[1]" }
LaMP_1
{ "id": "7015", "output": "[2]" }
LaMP_1
{ "id": "7016", "output": "[1]" }
LaMP_1
{ "id": "7017", "output": "[2]" }
LaMP_1
{ "id": "7018", "output": "[1]" }
LaMP_1
{ "id": "7019", "output": "[2]" }
LaMP_1
{ "id": "7020", "output": "[2]" }
LaMP_1
{ "id": "7021", "output": "[2]" }
LaMP_1
{ "id": "7022", "output": "[1]" }
LaMP_1
{ "id": "7023", "output": "[2]" }
LaMP_1
{ "id": "7024", "output": "[2]" }
LaMP_1
{ "id": "7025", "output": "[1]" }
LaMP_1
{ "id": "7026", "output": "[2]" }
LaMP_1
{ "id": "7027", "output": "[2]" }
LaMP_1
{ "id": "7028", "output": "[1]" }
LaMP_1
{ "id": "7029", "output": "[2]" }
LaMP_1
{ "id": "7030", "output": "[1]" }
LaMP_1
{ "id": "7031", "output": "[2]" }
LaMP_1
{ "id": "7032", "output": "[2]" }
LaMP_1
{ "id": "7033", "output": "[1]" }
LaMP_1
{ "id": "7034", "output": "[2]" }
LaMP_1
{ "id": "7035", "output": "[1]" }
LaMP_1
{ "id": "7036", "output": "[2]" }
LaMP_1
{ "id": "7037", "output": "[1]" }
LaMP_1
{ "id": "7038", "output": "[1]" }
LaMP_1
{ "id": "7039", "output": "[2]" }
LaMP_1
{ "id": "7040", "output": "[2]" }
LaMP_1
{ "id": "7041", "output": "[2]" }
LaMP_1
{ "id": "7042", "output": "[1]" }
LaMP_1
{ "id": "7043", "output": "[2]" }
LaMP_1
{ "id": "7044", "output": "[1]" }
LaMP_1
{ "id": "7045", "output": "[2]" }
LaMP_1
{ "id": "7046", "output": "[1]" }
LaMP_1
{ "id": "7047", "output": "[1]" }
LaMP_1
{ "id": "7048", "output": "[1]" }
LaMP_1
{ "id": "7049", "output": "[1]" }
LaMP_1
{ "id": "7050", "output": "[2]" }
LaMP_1
{ "id": "7051", "output": "[1]" }
LaMP_1
{ "id": "7052", "output": "[1]" }
LaMP_1
{ "id": "7053", "output": "[2]" }
LaMP_1
{ "id": "7054", "output": "[1]" }
LaMP_1
{ "id": "7055", "output": "[2]" }
LaMP_1
{ "id": "7056", "output": "[1]" }
LaMP_1
{ "id": "7057", "output": "[2]" }
LaMP_1
{ "id": "7058", "output": "[2]" }
LaMP_1
{ "id": "7059", "output": "[2]" }
LaMP_1
{ "id": "7060", "output": "[1]" }
LaMP_1
{ "id": "7061", "output": "[2]" }
LaMP_1
{ "id": "7062", "output": "[1]" }
LaMP_1
{ "id": "7063", "output": "[2]" }
LaMP_1
{ "id": "7064", "output": "[2]" }
LaMP_1
{ "id": "7065", "output": "[1]" }
LaMP_1
{ "id": "7066", "output": "[1]" }
LaMP_1
{ "id": "7067", "output": "[1]" }
LaMP_1
{ "id": "7068", "output": "[2]" }
LaMP_1
{ "id": "7069", "output": "[2]" }
LaMP_1
{ "id": "7070", "output": "[1]" }
LaMP_1
{ "id": "7071", "output": "[2]" }
LaMP_1
{ "id": "7072", "output": "[1]" }
LaMP_1
{ "id": "7073", "output": "[2]" }
LaMP_1
{ "id": "7074", "output": "[1]" }
LaMP_1
{ "id": "7075", "output": "[1]" }
LaMP_1
{ "id": "7076", "output": "[2]" }
LaMP_1
{ "id": "7077", "output": "[2]" }
LaMP_1
{ "id": "7078", "output": "[1]" }
LaMP_1
{ "id": "7079", "output": "[2]" }
LaMP_1
{ "id": "7080", "output": "[2]" }
LaMP_1
{ "id": "7081", "output": "[1]" }
LaMP_1
{ "id": "7082", "output": "[2]" }
LaMP_1
{ "id": "7083", "output": "[2]" }
LaMP_1
{ "id": "7084", "output": "[1]" }
LaMP_1
{ "id": "7085", "output": "[2]" }
LaMP_1
{ "id": "7086", "output": "[2]" }
LaMP_1
{ "id": "7087", "output": "[1]" }
LaMP_1
{ "id": "7088", "output": "[2]" }
LaMP_1
{ "id": "7089", "output": "[1]" }
LaMP_1
{ "id": "7090", "output": "[1]" }
LaMP_1
{ "id": "7091", "output": "[1]" }
LaMP_1
{ "id": "7092", "output": "[1]" }
LaMP_1
{ "id": "7093", "output": "[1]" }
LaMP_1
{ "id": "7094", "output": "[2]" }
LaMP_1
{ "id": "7095", "output": "[1]" }
LaMP_1
{ "id": "7096", "output": "[2]" }
LaMP_1
{ "id": "7097", "output": "[2]" }
LaMP_1
{ "id": "7098", "output": "[2]" }
LaMP_1
{ "id": "7099", "output": "[1]" }
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