Datasets:

---

milly233

/

govdatata_embedding

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 new columns ({'问题: 房地产企业开发资质该怎么办理？ 答案: 依据房地产开发企业资质管理规定——中华人民共和国建设部令第77号。企业可通过一网通办“房地产开发企业（内资）暂定资质-新办”事项查询，并携带相关材料至合欢路2号2楼综合窗口办理。 标签: /城市管理建设项目/建交委'}) and 768 missing columns ({'1.287431083619594574e-02', '-4.620277881622314453e-02', '1.984105408191680908e-01', '-2.536734342575073242e-01', '8.928932994604110718e-02', '3.959286957979202271e-02', '-4.755889475345611572e-01', '-7.787270843982696533e-02', '-1.823190897703170776e-01', '5.695923417806625366e-02', '-1.188029348850250244e-01', '1.692152917385101318e-01', '3.537704646587371826e-01', '3.224767744541168213e-01', '-5.011787638068199158e-03', '-1.840740591287612915e-01', '-4.744024202227592468e-02', '8.626056462526321411e-02', '5.209210515022277832e-01', '1.906743347644805908e-01', '8.378843218088150024e-02', '-2.999561429023742676e-01', '-2.860323786735534668e-01', '6.727393865585327148e-01', '3.831225037574768066e-01', '-1.707917749881744385e-01', '2.098173946142196655e-01', '7.645329236984252930e-01', '5.045520067214965820e-01', '1.864297538995742798e-01', '-1.063871160149574280e-01', '5.598676800727844238e-01', '1.702295690774917603e-01', '2.591948211193084717e-01', '-1.597438454627990723e-01', '-1.579933613538742065e-01', '-1.713720411062240601e-01', '-6.566219329833984375e-01', '1.270654946565628052e-01', '-8.871503919363021851e-02', '7.066611945629119873e-02', '1.491940021514892578e-01', '1.245468482375144958e-01', '-7.433982491493225098e-01', '1.068945750594139099e-01', '4.783231765031814575e-03', '-4.671572744846343994e-01', '1.443459242582321167e-01', '5.335097908973693848e-01', '2.076556086540222168e-01', '6.573201417922973633e-01', '-5.261138677597045898e-01', '-9.925545006990432739
...
50968933105e-01', '4.129621386528015137e-01', '2.591896988451480865e-02', '-1.228663101792335510e-01', '1.052870973944664001e-01', '-2.960379123687744141e-01', '1.411750674247741699e+00', '-7.950058579444885254e-01', '-1.867007017135620117e-01', '1.917911469936370850e-01', '-6.464673578739166260e-02', '-4.213426411151885986e-01', '-3.118963837623596191e-01', '1.276019066572189331e-01', '-9.165841341018676758e-01', '3.018940612673759460e-02', '-4.647697210311889648e-01', '5.870779603719711304e-02', '-3.211756423115730286e-02', '-8.455842733383178711e-02', '7.745762169361114502e-02', '5.036072134971618652e-01', '1.993155665695667267e-02', '-2.146258950233459473e-01', '-3.437414765357971191e-01', '3.023558855056762695e-01', '-2.464619278907775879e-01', '-2.389413118362426758e-01', '-5.538925528526306152e-01', '-4.619376361370086670e-01', '-5.406094193458557129e-01', '2.737297862768173218e-02', '1.728216111660003662e-01', '8.561958670616149902e-01', '1.740119978785514832e-02', '-1.678974777460098267e-01', '-8.548391461372375488e-01', '4.535355865955352783e-01', '-7.138245701789855957e-01', '5.505492687225341797e-01', '3.261930942535400391e-01', '-4.211519062519073486e-01', '3.490916639566421509e-02', '6.606542468070983887e-01', '2.296621054410934448e-01', '8.493049442768096924e-02', '-2.738471925258636475e-01', '-2.402153015136718750e-01', '4.968239665031433105e-01', '-2.094394713640213013e-01', '2.581986486911773682e-01', '-3.002546727657318115e-01', '-5.334474146366119385e-02'}).

This happened while the csv dataset builder was generating data using

hf://datasets/milly233/govdatata_embedding/label.tsv (at revision efac61a4f6d68c9c6f4f6e6c15bd70c5d5db0c21)

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
              问题: 房地产企业开发资质该怎么办理？ 答案: 依据房地产开发企业资质管理规定——中华人民共和国建设部令第77号。企业可通过一网通办“房地产开发企业（内资）暂定资质-新办”事项查询，并携带相关材料至合欢路2号2楼综合窗口办理。 标签: /城市管理建设项目/建交委: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1784
              to
              {'2.093871086835861206e-01': Value(dtype='float64', id=None), '1.443459242582321167e-01': Value(dtype='float64', id=None), '7.482172250747680664e-01': Value(dtype='float64', id=None), '-3.838846087455749512e-01': Value(dtype='float64', id=None), '-5.589196085929870605e-02': Value(dtype='float64', id=None), '-3.617667257785797119e-01': Value(dtype='float64', id=None), '4.751617908477783203e-01': Value(dtype='float64', id=None), '4.507623016834259033e-01': Value(dtype='float64', id=None), '-7.437344193458557129e-01': Value(dtype='float64', id=None), '6.873266398906707764e-02': Value(dtype='float64', id=None), '1.917911469936370850e-01': Value(dtype='float64', id=None), '8.168403804302215576e-02': Value(dtype='float64', id=None), '7.745762169361114502e-02': Value(dtype='float64', id=None), '5.036072134971618652e-01': Value(dtype='float64', id=None), '6.390633434057235718e-02': Value(dtype='float64', id=None), '2.954761087894439697e-01': Value(dtype='float64', id=None), '3.023558855056762695e-01': Value(dtype='float64', id=None), '-7.382092624902725220e-02': Value(dtype='float64', id=None), '1.383967846632003784e-01': Value(dtype='float64', id=None), '-1.828298717737197876e-02': Value(dtype='float64', id=None), '8.742488175630569458e-02': Value(dtype='float64', id=None), '6.373178958892822266e-01': Value(dtype='float64', id=None), '-5.345703959465026855e-01': Value(dtype='float64', id=None), '8.848861604928970337e-02': Value(dtype='float64', id=None), '2.674549818038940430e-01': 
              ...
              pe='float64', id=None), '-5.829063057899475098e-01': Value(dtype='float64', id=None), '-2.308009117841720581e-01': Value(dtype='float64', id=None), '4.255089759826660156e-01': Value(dtype='float64', id=None), '2.331468164920806885e-01': Value(dtype='float64', id=None), '3.404017686843872070e-01': Value(dtype='float64', id=None), '1.014062404632568359e+00': Value(dtype='float64', id=None), '3.327209651470184326e-01': Value(dtype='float64', id=None), '1.188757717609405518e-01': Value(dtype='float64', id=None), '-3.025555610656738281e-02': Value(dtype='float64', id=None), '-2.767268121242523193e-01': Value(dtype='float64', id=None), '4.235613346099853516e-01': Value(dtype='float64', id=None), '-1.028323888778686523e+00': Value(dtype='float64', id=None), '-6.346679329872131348e-01': Value(dtype='float64', id=None), '-3.058128952980041504e-01': Value(dtype='float64', id=None), '2.141756415367126465e-01': Value(dtype='float64', id=None), '2.215749472379684448e-01': Value(dtype='float64', id=None), '4.393500387668609619e-01': Value(dtype='float64', id=None), '-8.995557427406311035e-01': Value(dtype='float64', id=None), '-8.871503919363021851e-02': Value(dtype='float64', id=None), '-4.179635643959045410e-01': Value(dtype='float64', id=None), '-3.016076087951660156e-01': Value(dtype='float64', id=None), '1.701544225215911865e-01': Value(dtype='float64', id=None), '-6.589274406433105469e-01': Value(dtype='float64', id=None), '-3.794927150011062622e-02': Value(dtype='float64', 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 new columns ({'问题: 房地产企业开发资质该怎么办理？ 答案: 依据房地产开发企业资质管理规定——中华人民共和国建设部令第77号。企业可通过一网通办“房地产开发企业（内资）暂定资质-新办”事项查询，并携带相关材料至合欢路2号2楼综合窗口办理。 标签: /城市管理建设项目/建交委'}) and 768 missing columns ({'1.287431083619594574e-02', '-4.620277881622314453e-02', '1.984105408191680908e-01', '-2.536734342575073242e-01', '8.928932994604110718e-02', '3.959286957979202271e-02', '-4.755889475345611572e-01', '-7.787270843982696533e-02', '-1.823190897703170776e-01', '5.695923417806625366e-02', '-1.188029348850250244e-01', '1.692152917385101318e-01', '3.537704646587371826e-01', '3.224767744541168213e-01', '-5.011787638068199158e-03', '-1.840740591287612915e-01', '-4.744024202227592468e-02', '8.626056462526321411e-02', '5.209210515022277832e-01', '1.906743347644805908e-01', '8.378843218088150024e-02', '-2.999561429023742676e-01', '-2.860323786735534668e-01', '6.727393865585327148e-01', '3.831225037574768066e-01', '-1.707917749881744385e-01', '2.098173946142196655e-01', '7.645329236984252930e-01', '5.045520067214965820e-01', '1.864297538995742798e-01', '-1.063871160149574280e-01', '5.598676800727844238e-01', '1.702295690774917603e-01', '2.591948211193084717e-01', '-1.597438454627990723e-01', '-1.579933613538742065e-01', '-1.713720411062240601e-01', '-6.566219329833984375e-01', '1.270654946565628052e-01', '-8.871503919363021851e-02', '7.066611945629119873e-02', '1.491940021514892578e-01', '1.245468482375144958e-01', '-7.433982491493225098e-01', '1.068945750594139099e-01', '4.783231765031814575e-03', '-4.671572744846343994e-01', '1.443459242582321167e-01', '5.335097908973693848e-01', '2.076556086540222168e-01', '6.573201417922973633e-01', '-5.261138677597045898e-01', '-9.925545006990432739
              ...
              50968933105e-01', '4.129621386528015137e-01', '2.591896988451480865e-02', '-1.228663101792335510e-01', '1.052870973944664001e-01', '-2.960379123687744141e-01', '1.411750674247741699e+00', '-7.950058579444885254e-01', '-1.867007017135620117e-01', '1.917911469936370850e-01', '-6.464673578739166260e-02', '-4.213426411151885986e-01', '-3.118963837623596191e-01', '1.276019066572189331e-01', '-9.165841341018676758e-01', '3.018940612673759460e-02', '-4.647697210311889648e-01', '5.870779603719711304e-02', '-3.211756423115730286e-02', '-8.455842733383178711e-02', '7.745762169361114502e-02', '5.036072134971618652e-01', '1.993155665695667267e-02', '-2.146258950233459473e-01', '-3.437414765357971191e-01', '3.023558855056762695e-01', '-2.464619278907775879e-01', '-2.389413118362426758e-01', '-5.538925528526306152e-01', '-4.619376361370086670e-01', '-5.406094193458557129e-01', '2.737297862768173218e-02', '1.728216111660003662e-01', '8.561958670616149902e-01', '1.740119978785514832e-02', '-1.678974777460098267e-01', '-8.548391461372375488e-01', '4.535355865955352783e-01', '-7.138245701789855957e-01', '5.505492687225341797e-01', '3.261930942535400391e-01', '-4.211519062519073486e-01', '3.490916639566421509e-02', '6.606542468070983887e-01', '2.296621054410934448e-01', '8.493049442768096924e-02', '-2.738471925258636475e-01', '-2.402153015136718750e-01', '4.968239665031433105e-01', '-2.094394713640213013e-01', '2.581986486911773682e-01', '-3.002546727657318115e-01', '-5.334474146366119385e-02'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/milly233/govdatata_embedding/label.tsv (at revision efac61a4f6d68c9c6f4f6e6c15bd70c5d5db0c21)
              
              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)