Datasets:

---

smearle

/

pcglm

like 0

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 1 missing columns ({'num_steps_trained'})

This happened while the json dataset builder was generating data using

hf://datasets/smearle/pcglm/gpt2-untrained_sample_prop:None/seed-0/temp-1.0_topk-50_topp-0.33_typicalp-1.0_beams-15_threshold-5.json (at revision 4cc9063942e93200777c789215afde03f8bf44e0)

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 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 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              novelty_threshold: int64
              prop_accurate: double
              prop_playable: double
              prop_novel: double
              prop_novel_playable_accurate: double
              diversity: double
              restricted_diversity: double
              samples: list<item: string>
                child 0, item: string
              solutions: list<item: string>
                child 0, item: string
              accuracies: list<item: bool>
                child 0, item: bool
              novelties: list<item: bool>
                child 0, item: bool
              infos: list<item: struct<width: int64, height: int64, num_targets: null, prop_empty: double, solution_len: int64>>
                child 0, item: struct<width: int64, height: int64, num_targets: null, prop_empty: double, solution_len: int64>
                    child 0, width: int64
                    child 1, height: int64
                    child 2, num_targets: null
                    child 3, prop_empty: double
                    child 4, solution_len: int64
              to
              {'num_steps_trained': Value(dtype='int64', id=None), 'novelty_threshold': Value(dtype='int64', id=None), 'prop_accurate': Value(dtype='float64', id=None), 'prop_playable': Value(dtype='float64', id=None), 'prop_novel': Value(dtype='float64', id=None), 'prop_novel_playable_accurate': Value(dtype='float64', id=None), 'diversity': Value(dtype='float64', id=None), 'restricted_diversity': Value(dtype='float64', id=None), 'samples': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'solutions': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'accuracies': Sequence(feature=Value(dtype='bool', id=None), length=-1, id=None), 'novelties': Sequence(feature=Value(dtype='bool', id=None), length=-1, id=None), 'infos': [{'width': Value(dtype='int64', id=None), 'height': Value(dtype='int64', id=None), 'num_targets': Value(dtype='null', id=None), 'prop_empty': Value(dtype='float64', id=None), 'solution_len': 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 1316, in compute_config_parquet_and_info_response
                  parquet_operations, partial = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 909, in stream_convert_to_parquet
                  builder._prepare_split(
                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 2013, 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 1 missing columns ({'num_steps_trained'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/smearle/pcglm/gpt2-untrained_sample_prop:None/seed-0/temp-1.0_topk-50_topp-0.33_typicalp-1.0_beams-15_threshold-5.json (at revision 4cc9063942e93200777c789215afde03f8bf44e0)
              
              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)