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LM-Parallel

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all-v3n5

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LM-Parallel 6

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 7 new columns ({'longest_seq_token_count', 'sub_call_count', 'sub_call_beam_size', 'avg_seq_token_count', 'trace_dict', 'avg_sub_seq_token_count', 'promising_threshold'})

This happened while the json dataset builder was generating data using

hf://datasets/LM-Parallel/all-v3n5/val_hsp.json (at revision 917cff84bd54f5f216b539692e425182e284faef)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              nums: list<item: int64>
                child 0, item: int64
              target: int64
              solution: list<item: string>
                child 0, item: string
              optimal_path: string
              start_size: int64
              search_path: string
              rating: double
              search_type: string
              heuristic: string
              promising_threshold: double
              beam_size: int64
              sub_call_beam_size: int64
              trace_dict: struct<main_calls: list<item: string>, sub_calls: list<item: list<item: struct<main_calls: list<item: string>, sub_calls: list<item: null>>>>>
                child 0, main_calls: list<item: string>
                    child 0, item: string
                child 1, sub_calls: list<item: list<item: struct<main_calls: list<item: string>, sub_calls: list<item: null>>>>
                    child 0, item: list<item: struct<main_calls: list<item: string>, sub_calls: list<item: null>>>
                        child 0, item: struct<main_calls: list<item: string>, sub_calls: list<item: null>>
                            child 0, main_calls: list<item: string>
                                child 0, item: string
                            child 1, sub_calls: list<item: null>
                                child 0, item: null
              token_count: int64
              longest_seq_token_count: int64
              avg_seq_token_count: double
              avg_sub_seq_token_count: double
              sub_call_count: double
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 2447
              to
              {'nums': Sequence(feature=Value(dtype='int64', id=None), length=-1, id=None), 'target': Value(dtype='int64', id=None), 'solution': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'optimal_path': Value(dtype='string', id=None), 'start_size': Value(dtype='int64', id=None), 'search_path': Value(dtype='string', id=None), 'rating': Value(dtype='float64', id=None), 'search_type': Value(dtype='string', id=None), 'heuristic': Value(dtype='string', id=None), 'beam_size': Value(dtype='int64', id=None), 'token_count': Value(dtype='int64', id=None)}
              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 1436, 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 1053, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 7 new columns ({'longest_seq_token_count', 'sub_call_count', 'sub_call_beam_size', 'avg_seq_token_count', 'trace_dict', 'avg_sub_seq_token_count', 'promising_threshold'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/LM-Parallel/all-v3n5/val_hsp.json (at revision 917cff84bd54f5f216b539692e425182e284faef)
              
              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)