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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 16 new columns ({'Sex', 'Additional_Work', 'Sports_activity', 'Scholarship', 'Unnamed: 0', 'Listening_in_Class', 'Grade', 'Student_Age', 'Weekly_Study_Hours', 'Reading', 'Notes', 'Project_work', 'Id', 'Transportation', 'High_School_Type', 'Attendance'}) and 13 missing columns ({'vatLy', 'diemTBTuNhien', 'hoaHoc', 'diemTBXaHoi', 'sbd', 'van', 'diaLy', 'lichSu', 'gdcd', 'Unnamed: 12', 'ngoaiNgu', 'toan', 'sinhHoc'}).
This happened while the csv dataset builder was generating data using
hf://datasets/datnguyentien204/THPTQG/btl/student.csv (at revision 8842d74da1716656179a723013655833c0b1cfa9)
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
Unnamed: 0: int64
Id: int64
Student_Age: int64
Sex: string
High_School_Type: string
Scholarship: string
Additional_Work: string
Sports_activity: string
Transportation: string
Weekly_Study_Hours: int64
Attendance: string
Reading: string
Notes: string
Listening_in_Class: string
Project_work: string
Grade: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2193
to
{'sbd': Value(dtype='int64', id=None), 'toan': Value(dtype='float64', id=None), 'van': Value(dtype='float64', id=None), 'ngoaiNgu': Value(dtype='float64', id=None), 'vatLy': Value(dtype='float64', id=None), 'hoaHoc': Value(dtype='float64', id=None), 'sinhHoc': Value(dtype='float64', id=None), 'diemTBTuNhien': Value(dtype='float64', id=None), 'lichSu': Value(dtype='float64', id=None), 'diaLy': Value(dtype='float64', id=None), 'gdcd': Value(dtype='float64', id=None), 'diemTBXaHoi': Value(dtype='float64', id=None), 'Unnamed: 12': 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 1577, 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 1191, 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 16 new columns ({'Sex', 'Additional_Work', 'Sports_activity', 'Scholarship', 'Unnamed: 0', 'Listening_in_Class', 'Grade', 'Student_Age', 'Weekly_Study_Hours', 'Reading', 'Notes', 'Project_work', 'Id', 'Transportation', 'High_School_Type', 'Attendance'}) and 13 missing columns ({'vatLy', 'diemTBTuNhien', 'hoaHoc', 'diemTBXaHoi', 'sbd', 'van', 'diaLy', 'lichSu', 'gdcd', 'Unnamed: 12', 'ngoaiNgu', 'toan', 'sinhHoc'}).
This happened while the csv dataset builder was generating data using
hf://datasets/datnguyentien204/THPTQG/btl/student.csv (at revision 8842d74da1716656179a723013655833c0b1cfa9)
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
sbd int64 | toan float64 | van float64 | ngoaiNgu float64 | vatLy float64 | hoaHoc float64 | sinhHoc float64 | diemTBTuNhien float64 | lichSu float64 | diaLy float64 | gdcd float64 | diemTBXaHoi float64 | Unnamed: 12 null |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,000,001 | 3.6 | 5 | 4 | -1 | -1 | -1 | -1 | 2.75 | 6 | 8.75 | 5.83 | null |
1,000,002 | 8.4 | 6.75 | 7.6 | -1 | -1 | -1 | -1 | 8.5 | 7.5 | 8.25 | 8.08 | null |
1,000,003 | 5.8 | 7.5 | 5 | -1 | -1 | -1 | -1 | 7.25 | 5.5 | 8.75 | 7.17 | null |
1,000,004 | 7.4 | 7.5 | 8.6 | -1 | -1 | -1 | -1 | 7.5 | 6.5 | 7.5 | 7.17 | null |
1,000,005 | 7.2 | 8.5 | 9 | -1 | -1 | -1 | -1 | 8 | 8.5 | 8.25 | 8.25 | null |
1,000,006 | 6.8 | 8.5 | 9.4 | -1 | -1 | -1 | -1 | 7 | 7.5 | 9.25 | 7.92 | null |
1,000,007 | 7.2 | 6 | 5 | -1 | -1 | -1 | -1 | 8 | 7.5 | 9 | 8.17 | null |
1,000,008 | 8 | 8 | 8 | -1 | -1 | -1 | -1 | 5.25 | 7 | 7 | 6.42 | null |
1,000,009 | 2.6 | 5.25 | -1 | -1 | -1 | -1 | -1 | 5.25 | 6.75 | -1 | 4 | null |
1,000,010 | 8.8 | 8 | 7 | -1 | -1 | -1 | -1 | 6.5 | 6.5 | 6.75 | 6.58 | null |
1,000,011 | 6.4 | 7.25 | 7.6 | 3.5 | 8 | 3 | 4.83 | -1 | -1 | -1 | -1 | null |
1,000,012 | 6.4 | 7.5 | -1 | -1 | -1 | -1 | -1 | 4.75 | 5 | 8 | 5.92 | null |
1,000,013 | 8.2 | 7.75 | 6.4 | -1 | -1 | -1 | -1 | 7 | 7.5 | 7.75 | 7.42 | null |
1,000,014 | 5.8 | 5.5 | 6.4 | -1 | -1 | -1 | -1 | 8.5 | 8 | -1 | 5.5 | null |
1,000,015 | 8.6 | 7.25 | 9.6 | 8.25 | 3.25 | 4.25 | 5.25 | -1 | -1 | -1 | -1 | null |
1,000,016 | 7.8 | 5.75 | 8.4 | 4.25 | 8 | 4.75 | 5.67 | -1 | -1 | -1 | -1 | null |
1,000,017 | 8.6 | 6.25 | 7 | 7 | 3.5 | 3.75 | 4.75 | -1 | -1 | -1 | -1 | null |
1,000,018 | 6.2 | 8.25 | 6.6 | -1 | -1 | -1 | -1 | 6.75 | 6.5 | 8.25 | 7.17 | null |
1,000,019 | 6.8 | 7.5 | -1 | -1 | -1 | -1 | -1 | 7.25 | 6.25 | 8 | 7.17 | null |
1,000,020 | -1 | 6.75 | -1 | -1 | -1 | -1 | -1 | 8.5 | 8 | -1 | 5.5 | null |
1,000,021 | 8 | 9 | -1 | -1 | -1 | -1 | -1 | 7 | 6.25 | 8.75 | 7.33 | null |
1,000,022 | 7.8 | 8 | 7.6 | -1 | -1 | -1 | -1 | 7.75 | 6.5 | 9.25 | 7.83 | null |
1,000,023 | 6.8 | 6 | 6.8 | 2.5 | 5.5 | 3 | 3.67 | -1 | -1 | -1 | -1 | null |
1,000,024 | 8.6 | 6.5 | 9.8 | 7.75 | 8.5 | 6.75 | 7.67 | -1 | -1 | -1 | -1 | null |
1,000,025 | 7.2 | 5.5 | 5.8 | 3 | 6.5 | 3.75 | 4.42 | -1 | -1 | -1 | -1 | null |
1,000,026 | 7 | 6 | 9.8 | 6.5 | 2.25 | 3 | 3.92 | -1 | -1 | -1 | -1 | null |
1,000,027 | 7.6 | 5.75 | 4.8 | 7.25 | 6.5 | 6.25 | 6.67 | -1 | -1 | -1 | -1 | null |
1,000,028 | 8.6 | 7 | 8 | 4.75 | 8.75 | 4.5 | 6 | -1 | -1 | -1 | -1 | null |
1,000,029 | 8.4 | 6.5 | 9.8 | -1 | -1 | -1 | -1 | 5.25 | 9 | 6.25 | 6.83 | null |
1,000,030 | 8.6 | 7.5 | 7.6 | 6.25 | 7.75 | 3.75 | 5.92 | -1 | -1 | -1 | -1 | null |
1,000,031 | 7 | 7.75 | 8.8 | -1 | -1 | -1 | -1 | 6.25 | 5 | 9 | 6.75 | null |
1,000,032 | 4 | 7 | 2.2 | -1 | -1 | -1 | -1 | 4.5 | 5 | 5.5 | 5 | null |
1,000,033 | 6.6 | 6.5 | 5.6 | -1 | -1 | -1 | -1 | 6.5 | 5.75 | 7 | 6.42 | null |
1,000,034 | 8.2 | 7 | 8.4 | -1 | -1 | -1 | -1 | 7 | 6.25 | 8 | 7.08 | null |
1,000,035 | 7.4 | 6.25 | 7.4 | -1 | -1 | -1 | -1 | 4 | 6 | 8 | 6 | null |
1,000,036 | 7.6 | 7 | 8.6 | -1 | -1 | -1 | -1 | 5.75 | 6 | 8 | 6.58 | null |
1,000,037 | 7.6 | 6.5 | 7.2 | 6 | 4.75 | 4.5 | 5.08 | -1 | -1 | -1 | -1 | null |
1,000,038 | 6 | 6 | 5.6 | -1 | -1 | -1 | -1 | 8 | 6.25 | 7.25 | 7.17 | null |
1,000,039 | 7.8 | 8.75 | 6.6 | -1 | -1 | -1 | -1 | 6.25 | 8.5 | 8.25 | 7.67 | null |
1,000,040 | 8 | 8.25 | 8.8 | -1 | -1 | -1 | -1 | 8 | 5.5 | 7.75 | 7.08 | null |
1,000,041 | 7.4 | 8 | 7.2 | -1 | -1 | -1 | -1 | 6 | 6 | 7.5 | 6.5 | null |
1,000,042 | 5.8 | 6.5 | 7.2 | -1 | -1 | -1 | -1 | 7.25 | 4.75 | 7.25 | 6.42 | null |
1,000,043 | 7.2 | 7.25 | 4.8 | 4.5 | 8 | 3 | 5.17 | -1 | -1 | -1 | -1 | null |
1,000,044 | 2.6 | 3 | -1 | -1 | -1 | -1 | -1 | 2 | 4.5 | -1 | 2.17 | null |
1,000,045 | 6 | 7 | 3.4 | -1 | -1 | -1 | -1 | 6.5 | 5.5 | 7.5 | 6.5 | null |
1,000,046 | 8 | 6.25 | 4.6 | 7.25 | 5.5 | 4.75 | 5.83 | -1 | -1 | -1 | -1 | null |
1,000,047 | 7.2 | 7.75 | 7.6 | -1 | -1 | -1 | -1 | 7.25 | 7 | 7.5 | 7.25 | null |
1,000,048 | 8 | 8.5 | 9.4 | -1 | -1 | -1 | -1 | 8 | 6.25 | 9 | 7.75 | null |
1,000,049 | 7.8 | 7 | 7.4 | 3.75 | 7.75 | 5.75 | 5.75 | -1 | -1 | -1 | -1 | null |
1,000,050 | 7.4 | 7.25 | -1 | -1 | -1 | -1 | -1 | 4.75 | 6 | 7.25 | 6 | null |
1,000,051 | 7.8 | 5 | 6.4 | 7 | 4 | 3.25 | 4.75 | -1 | -1 | -1 | -1 | null |
1,000,052 | 6.8 | 8.75 | 9 | -1 | -1 | -1 | -1 | 7.25 | 6.75 | 8.5 | 7.5 | null |
1,000,053 | 6.2 | 6.25 | 5.2 | -1 | -1 | -1 | -1 | 6.5 | 6.75 | 8.5 | 7.25 | null |
1,000,054 | 8.4 | 8 | 9 | -1 | -1 | -1 | -1 | 8.5 | 8.25 | 9.25 | 8.67 | null |
1,000,055 | 7 | 7 | 9.4 | -1 | -1 | -1 | -1 | 5.75 | 8 | 7.5 | 7.08 | null |
1,000,056 | 2 | 2.25 | 3.2 | -1 | -1 | -1 | -1 | 3.5 | 2.75 | 3.5 | 3.25 | null |
1,000,057 | 7.8 | 8.25 | 8 | -1 | -1 | -1 | -1 | 8.25 | 8.25 | 8 | 8.17 | null |
1,000,058 | 2.2 | 5.25 | 3.4 | -1 | -1 | -1 | -1 | 5 | 3.25 | 6.25 | 4.83 | null |
1,000,059 | 8.2 | 6.25 | 9.6 | 4.5 | 7.75 | 3.5 | 5.25 | -1 | -1 | -1 | -1 | null |
1,000,060 | 8.2 | 7.5 | 7.2 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | null |
1,000,061 | 5.6 | 6.5 | 9 | -1 | -1 | -1 | -1 | 9.25 | 7.25 | 8.5 | 8.33 | null |
1,000,062 | 4.6 | 6 | -1 | -1 | -1 | -1 | -1 | 6.25 | 6.25 | -1 | 4.17 | null |
1,000,063 | 7.4 | 6.75 | 9.2 | -1 | -1 | -1 | -1 | 8 | 6.5 | 9 | 7.83 | null |
1,000,064 | 6.8 | 8.5 | 7.6 | -1 | -1 | -1 | -1 | 8 | 8 | 8.25 | 8.08 | null |
1,000,065 | 8.6 | 8.5 | 8.6 | -1 | -1 | -1 | -1 | 8.25 | 7.5 | 9.25 | 8.33 | null |
1,000,066 | 7.8 | 6.25 | 8.8 | 7 | 3.5 | 4.5 | 5 | -1 | -1 | -1 | -1 | null |
1,000,067 | 3 | 6.5 | 4.6 | -1 | -1 | -1 | -1 | 5 | 5.75 | -1 | 3.58 | null |
1,000,068 | 8.6 | 8 | 8 | -1 | -1 | -1 | -1 | 8.75 | 8.75 | 9 | 8.83 | null |
1,000,069 | 8.6 | 8 | 7.4 | 7 | 4.75 | 4.5 | 5.42 | -1 | -1 | -1 | -1 | null |
1,000,070 | 6.4 | 6.5 | 7.6 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | -1 | null |
1,000,071 | 7.6 | 8.25 | 6.6 | 6.25 | 5 | 3.25 | 4.83 | -1 | -1 | -1 | -1 | null |
1,000,072 | 5.2 | 4.75 | 2.6 | -1 | -1 | -1 | -1 | 5 | 5.5 | 5.25 | 5.25 | null |
1,000,073 | 8.4 | 7.75 | 9.8 | 6.75 | 6.75 | 4.25 | 5.92 | -1 | -1 | -1 | -1 | null |
1,000,074 | 7.6 | 6.5 | -1 | 7.5 | 2.5 | 1.75 | 3.92 | -1 | -1 | -1 | -1 | null |
1,000,075 | 5.4 | 7 | 5.2 | -1 | -1 | -1 | -1 | 8.75 | 8 | 9.25 | 8.67 | null |
1,000,077 | 8.4 | 8.25 | 9.4 | -1 | -1 | -1 | -1 | 8.5 | 7 | 8.25 | 7.92 | null |
1,000,079 | 5.6 | 6.25 | 6 | -1 | -1 | -1 | -1 | 7.25 | 6.25 | 7.75 | 7.08 | null |
1,000,080 | 8.8 | 6 | 9.4 | 7.5 | 4.75 | 4 | 5.42 | -1 | -1 | -1 | -1 | null |
1,000,081 | 6.6 | 7.5 | 4 | -1 | -1 | -1 | -1 | 5 | 5 | 7.25 | 5.75 | null |
1,000,082 | 9 | 9.5 | 8 | -1 | -1 | -1 | -1 | 7.25 | 6.75 | 8.25 | 7.42 | null |
1,000,083 | 6.8 | 8.75 | 5 | -1 | -1 | -1 | -1 | 4.5 | 5.75 | 6.25 | 5.5 | null |
1,000,084 | 7.8 | 9 | 8.8 | -1 | -1 | -1 | -1 | 8.5 | 8.75 | 8.25 | 8.5 | null |
1,000,085 | 7.6 | 5.5 | 8.2 | -1 | -1 | -1 | -1 | 5.75 | 6.25 | 7.75 | 6.58 | null |
1,000,086 | 6.8 | 7 | -1 | -1 | -1 | -1 | -1 | 6.5 | 7 | 7.5 | 7 | null |
1,000,087 | 8.4 | 8 | 9.4 | -1 | -1 | -1 | -1 | 6.75 | 6.5 | 8.25 | 7.17 | null |
1,000,088 | 8.2 | 8.75 | 8 | -1 | -1 | -1 | -1 | 7.25 | 6.5 | 8 | 7.25 | null |
1,000,089 | 7.8 | 7.25 | 6 | 7.5 | 4 | 3 | 4.83 | -1 | -1 | -1 | -1 | null |
1,000,090 | 7 | 8 | 6.6 | -1 | -1 | -1 | -1 | 6 | 6.5 | 7.75 | 6.75 | null |
1,000,091 | 7.8 | 7.25 | 7.8 | -1 | -1 | -1 | -1 | 7.5 | 6.5 | 9.5 | 7.83 | null |
1,000,092 | 6.8 | 8.5 | 8 | -1 | -1 | -1 | -1 | 6.5 | 8 | 8.5 | 7.67 | null |
1,000,093 | 8.8 | 7.75 | -1 | 5.75 | 6.75 | 6 | 6.17 | -1 | -1 | -1 | -1 | null |
1,000,095 | 8 | 6 | 9 | -1 | -1 | -1 | -1 | 6.5 | 8.75 | 9.25 | 8.17 | null |
1,000,096 | 7.6 | 8.25 | 7.8 | -1 | -1 | -1 | -1 | 6.75 | 7.75 | 9 | 7.83 | null |
1,000,097 | 8.2 | 8.5 | 9.6 | -1 | -1 | -1 | -1 | 7.75 | 7 | 8.5 | 7.75 | null |
1,000,098 | 7.4 | 8.5 | 8 | -1 | -1 | -1 | -1 | 8.5 | 7.25 | 8.25 | 8 | null |
1,000,099 | 7.6 | 8 | 9.2 | -1 | -1 | -1 | -1 | 5 | 8.5 | 8 | 7.17 | null |
1,000,100 | 3.8 | 5.5 | 5.6 | -1 | -1 | -1 | -1 | 5.5 | 4.25 | 7.75 | 5.83 | null |
1,000,101 | 8.2 | 6.5 | 7.6 | 5.25 | 7.25 | 3.25 | 5.25 | -1 | -1 | -1 | -1 | null |
1,000,102 | 8.8 | 7.25 | 9 | 4.75 | 8 | 8 | 6.92 | -1 | -1 | -1 | -1 | null |
1,000,103 | 8.4 | 8.5 | 7 | 8.5 | 8.75 | 6.5 | 7.92 | -1 | -1 | -1 | -1 | null |
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