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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
path: string
intonation: int64
rhythm: int64
expressiveness: int64
skill: int64
score: int64
remark: string
学生歌声: struct<文本: string, 字信息: list<item: struct<字: string, 开始时间: double, 结束时间: (... 54 chars omitted)
  child 0, 文本: string
  child 1, 字信息: list<item: struct<字: string, 开始时间: double, 结束时间: double, 技巧: list<item: string (... 19 chars omitted)
      child 0, item: struct<字: string, 开始时间: double, 结束时间: double, 技巧: list<item: string>, 音名:  (... 7 chars omitted)
          child 0, 字: string
          child 1, 开始时间: double
          child 2, 结束时间: double
          child 3, 技巧: list<item: string>
              child 0, item: string
          child 4, 音名: string
标准歌声: struct<文本: string, 字信息: list<item: struct<字: string, 开始时间: double, 结束时间: (... 54 chars omitted)
  child 0, 文本: string
  child 1, 字信息: list<item: struct<字: string, 开始时间: double, 结束时间: double, 技巧: list<item: string (... 19 chars omitted)
      child 0, item: struct<字: string, 开始时间: double, 结束时间: double, 技巧: list<item: string>, 音名:  (... 7 chars omitted)
          child 0, 字: string
          child 1, 开始时间: double
          child 2, 结束时间: double
          child 3, 技巧: list<item: string>
              child 0, item: string
          child 4, 音名: string
分析过程与结果: struct<思维链: struct<问题识别: string, 原因推理: string, 改进方向: string>, 评价� (... 138 chars omitted)
  child 0, 思维链: struct<问题识别: string, 原因推理: string, 改进方向: string>
      child 0, 问题识别: string
      child 1, 原因推理: string
      child 2, 改进方向: string
  child 1, 评价总结: string
  child 2, 改进建议: string
  child 3, 问题严重度: string
  child 4, 原始评价对齐: struct<原始评分解读: string, 对齐分析: string>
      child 0, 原始评分解读: string
      child 1, 对齐分析: string
to
{'标准歌声': {'文本': Value('string'), '字信息': List({'字': Value('string'), '开始时间': Value('float64'), '结束时间': Value('float64'), '技巧': List(Value('string')), '音名': Value('string')})}, '学生歌声': {'文本': Value('string'), '字信息': List({'字': Value('string'), '开始时间': Value('float64'), '结束时间': Value('float64'), '技巧': List(Value('string')), '音名': Value('string')})}, '分析过程与结果': {'思维链': {'问题识别': Value('string'), '原因推理': Value('string'), '改进方向': Value('string')}, '评价总结': Value('string'), '改进建议': Value('string'), '问题严重度': Value('string'), '原始评价对齐': {'原始评分解读': Value('string'), '对齐分析': Value('string')}}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              path: string
              intonation: int64
              rhythm: int64
              expressiveness: int64
              skill: int64
              score: int64
              remark: string
              学生歌声: struct<文本: string, 字信息: list<item: struct<字: string, 开始时间: double, 结束时间: (... 54 chars omitted)
                child 0, 文本: string
                child 1, 字信息: list<item: struct<字: string, 开始时间: double, 结束时间: double, 技巧: list<item: string (... 19 chars omitted)
                    child 0, item: struct<字: string, 开始时间: double, 结束时间: double, 技巧: list<item: string>, 音名:  (... 7 chars omitted)
                        child 0, 字: string
                        child 1, 开始时间: double
                        child 2, 结束时间: double
                        child 3, 技巧: list<item: string>
                            child 0, item: string
                        child 4, 音名: string
              标准歌声: struct<文本: string, 字信息: list<item: struct<字: string, 开始时间: double, 结束时间: (... 54 chars omitted)
                child 0, 文本: string
                child 1, 字信息: list<item: struct<字: string, 开始时间: double, 结束时间: double, 技巧: list<item: string (... 19 chars omitted)
                    child 0, item: struct<字: string, 开始时间: double, 结束时间: double, 技巧: list<item: string>, 音名:  (... 7 chars omitted)
                        child 0, 字: string
                        child 1, 开始时间: double
                        child 2, 结束时间: double
                        child 3, 技巧: list<item: string>
                            child 0, item: string
                        child 4, 音名: string
              分析过程与结果: struct<思维链: struct<问题识别: string, 原因推理: string, 改进方向: string>, 评价� (... 138 chars omitted)
                child 0, 思维链: struct<问题识别: string, 原因推理: string, 改进方向: string>
                    child 0, 问题识别: string
                    child 1, 原因推理: string
                    child 2, 改进方向: string
                child 1, 评价总结: string
                child 2, 改进建议: string
                child 3, 问题严重度: string
                child 4, 原始评价对齐: struct<原始评分解读: string, 对齐分析: string>
                    child 0, 原始评分解读: string
                    child 1, 对齐分析: string
              to
              {'标准歌声': {'文本': Value('string'), '字信息': List({'字': Value('string'), '开始时间': Value('float64'), '结束时间': Value('float64'), '技巧': List(Value('string')), '音名': Value('string')})}, '学生歌声': {'文本': Value('string'), '字信息': List({'字': Value('string'), '开始时间': Value('float64'), '结束时间': Value('float64'), '技巧': List(Value('string')), '音名': Value('string')})}, '分析过程与结果': {'思维链': {'问题识别': Value('string'), '原因推理': Value('string'), '改进方向': Value('string')}, '评价总结': Value('string'), '改进建议': Value('string'), '问题严重度': Value('string'), '原始评价对齐': {'原始评分解读': Value('string'), '对齐分析': Value('string')}}}
              because column names don't match

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