Datasets:

---

cyberco

/

public_results

like 0

Follow

cyber 5

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 8 new columns ({'model', 'score_level3', 'score_level1', 'organisation', 'system_prompt', 'score_level2', 'model_family', 'score'}) and 5 missing columns ({'answer_score', 'total_score', 'tool_use_score', 'agent_name', 'reasoning_score'}).

This happened while the json dataset builder was generating data using

hf://datasets/cyberco/public_results/2025_v1/example_result.json (at revision ca639e325ef1546b9cab8a14b40f59986cf1427a)

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
              model: string
              model_family: string
              system_prompt: string
              url: string
              organisation: string
              score: double
              score_level1: double
              score_level2: double
              score_level3: double
              date: timestamp[ns]
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1353
              to
              {'agent_name': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'total_score': Value(dtype='float64', id=None), 'answer_score': Value(dtype='float64', id=None), 'reasoning_score': Value(dtype='float64', id=None), 'tool_use_score': Value(dtype='float64', id=None), 'date': Value(dtype='timestamp[ns]', 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 8 new columns ({'model', 'score_level3', 'score_level1', 'organisation', 'system_prompt', 'score_level2', 'model_family', 'score'}) and 5 missing columns ({'answer_score', 'total_score', 'tool_use_score', 'agent_name', 'reasoning_score'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/cyberco/public_results/2025_v1/example_result.json (at revision ca639e325ef1546b9cab8a14b40f59986cf1427a)
              
              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)