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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 1 missing columns ({'explanation'})

This happened while the csv dataset builder was generating data using

hf://datasets/DevOps-Eval/devopseval-exam/val/integration.csv (at revision ed3591b44cd6d8f2139693a18ff2f4de7a71d2ac)

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
              id: int64
              question: string
              A: string
              B: string
              C: string
              D: string
              answer: string
              type: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1104
              to
              {'id': Value(dtype='int64', id=None), 'question': Value(dtype='string', id=None), 'A': Value(dtype='string', id=None), 'B': Value(dtype='string', id=None), 'C': Value(dtype='string', id=None), 'D': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None), 'explanation': Value(dtype='string', id=None), 'type': Value(dtype='string', 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 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 ({'explanation'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/DevOps-Eval/devopseval-exam/val/integration.csv (at revision ed3591b44cd6d8f2139693a18ff2f4de7a71d2ac)
              
              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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id
int64
question
string
A
string
B
string
C
string
D
string
answer
string
explanation
string
type
string
0
在DevOps实践中,以下哪个是持续集成(Continuous Integration)的关键特征?
自动化构建和测试
持续部署和发布
敏捷开发和迭代
容器化和微服务架构
A
自动化构建和测试是持续集成的关键特征,而持续部署和发布(选项B)属于持续交付和部署的范畴,敏捷开发和迭代(选项C)是一种开发方法论,而容器化和微服务架构(选项D)是一种技术实践,这些选项都属于与持续集成不同的类别或关注点。
Integration知识
0
在DevOps实践中,以下哪个是持续集成(Continuous Integration)的关键特征?
自动化构建和测试
持续部署和发布
敏捷开发和迭代
容器化和微服务架构
A
null
Integration知识
README.md exists but content is empty.
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