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open-cn-llm-leaderboard

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FlagEval CN LLM Leaderboard 4

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 2 new columns ({'license', 'likes'}) and 5 missing columns ({'flageval_id', 'architectures', 'job_start_time', 'eval_id', 'job_id'}).

This happened while the json dataset builder was generating data using

hf://datasets/open-cn-llm-leaderboard/requests/01-ai/Yi-1.5-34B-Chat_eval_request_False_float16_Original.json (at revision 447444b5f92ec0828a0d75061df71f20ab664a1f)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              model: string
              base_model: string
              revision: string
              private: bool
              precision: string
              weight_type: string
              status: string
              submitted_time: timestamp[s]
              model_type: string
              likes: int64
              params: double
              license: string
              to
              {'model': Value(dtype='string', id=None), 'base_model': Value(dtype='string', id=None), 'revision': Value(dtype='string', id=None), 'private': Value(dtype='bool', id=None), 'precision': Value(dtype='string', id=None), 'params': Value(dtype='float64', id=None), 'architectures': Value(dtype='string', id=None), 'weight_type': Value(dtype='string', id=None), 'status': Value(dtype='string', id=None), 'submitted_time': Value(dtype='timestamp[s]', id=None), 'model_type': Value(dtype='string', id=None), 'job_id': Value(dtype='int64', id=None), 'job_start_time': Value(dtype='null', id=None), 'eval_id': Value(dtype='int64', id=None), 'flageval_id': 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 1417, 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 1049, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 2 new columns ({'license', 'likes'}) and 5 missing columns ({'flageval_id', 'architectures', 'job_start_time', 'eval_id', 'job_id'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/open-cn-llm-leaderboard/requests/01-ai/Yi-1.5-34B-Chat_eval_request_False_float16_Original.json (at revision 447444b5f92ec0828a0d75061df71f20ab664a1f)
              
              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)