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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 new columns ({'depression'}) and 16 missing columns ({'family_history', 'study_satisfaction', 'dietary_habits', 'work_pressure', 'sleep_duration', 'age', 'profession', 'degree', 'job_satisfaction', 'work_study_hours', 'academic_pressure', 'cgpa', 'gender', 'city', 'financial_stress', 'suicidal_thoughts'}).
This happened while the csv dataset builder was generating data using
hf://datasets/gaurangdave/mental_health_ml/y_train.csv (at revision 8048bce123e697b8229c989247ea9d1d6c99f530)
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 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
depression: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 380
to
{'gender': Value(dtype='string', id=None), 'age': Value(dtype='float64', id=None), 'city': Value(dtype='string', id=None), 'profession': Value(dtype='string', id=None), 'academic_pressure': Value(dtype='float64', id=None), 'work_pressure': Value(dtype='float64', id=None), 'cgpa': Value(dtype='float64', id=None), 'study_satisfaction': Value(dtype='float64', id=None), 'job_satisfaction': Value(dtype='float64', id=None), 'sleep_duration': Value(dtype='string', id=None), 'dietary_habits': Value(dtype='string', id=None), 'degree': Value(dtype='string', id=None), 'suicidal_thoughts': Value(dtype='string', id=None), 'work_study_hours': Value(dtype='float64', id=None), 'financial_stress': Value(dtype='float64', id=None), 'family_history': 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 1436, 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 1053, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 ({'depression'}) and 16 missing columns ({'family_history', 'study_satisfaction', 'dietary_habits', 'work_pressure', 'sleep_duration', 'age', 'profession', 'degree', 'job_satisfaction', 'work_study_hours', 'academic_pressure', 'cgpa', 'gender', 'city', 'financial_stress', 'suicidal_thoughts'}).
This happened while the csv dataset builder was generating data using
hf://datasets/gaurangdave/mental_health_ml/y_train.csv (at revision 8048bce123e697b8229c989247ea9d1d6c99f530)
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.
gender string | age float64 | city string | profession string | academic_pressure float64 | work_pressure float64 | cgpa float64 | study_satisfaction float64 | job_satisfaction float64 | sleep_duration string | dietary_habits string | degree string | suicidal_thoughts string | work_study_hours float64 | financial_stress float64 | family_history string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Male | 18 | Jaipur | Student | 4 | 0 | 6.02 | 1 | 0 | '7-8 hours' | Moderate | 'Class 12' | Yes | 3 | 5 | No |
Male | 25 | Vadodara | Student | 3 | 0 | 6.37 | 2 | 0 | '7-8 hours' | Moderate | B.Arch | No | 9 | 1 | Yes |
Male | 30 | Ahmedabad | Student | 3 | 0 | 9.24 | 2 | 0 | '7-8 hours' | Unhealthy | M.Ed | Yes | 5 | 5 | Yes |
Male | 34 | Bhopal | Student | 3 | 0 | 7.37 | 5 | 0 | '7-8 hours' | Moderate | B.Com | Yes | 12 | 3 | No |
Male | 25 | Patna | Student | 3 | 0 | 7.47 | 4 | 0 | '5-6 hours' | Unhealthy | B.Com | No | 11 | 5 | No |
Female | 29 | Kolkata | Student | 1 | 0 | 9.93 | 5 | 0 | 'Less than 5 hours' | Healthy | M.Ed | No | 6 | 2 | No |
Male | 31 | Kanpur | Student | 3 | 0 | 5.24 | 2 | 0 | '5-6 hours' | Healthy | LLB | Yes | 12 | 4 | No |
Male | 24 | Patna | Student | 4 | 0 | 8.39 | 2 | 0 | 'More than 8 hours' | Unhealthy | BCA | Yes | 12 | 2 | No |
Male | 32 | Ghaziabad | Student | 3 | 0 | 9.41 | 1 | 0 | '7-8 hours' | Unhealthy | LLB | No | 9 | 4 | No |
Male | 26 | Bhopal | Student | 1 | 0 | 7.09 | 1 | 0 | 'More than 8 hours' | Unhealthy | B.Arch | No | 11 | 1 | No |
Male | 29 | Kalyan | Student | 1 | 0 | 5.71 | 1 | 0 | 'More than 8 hours' | Unhealthy | MSc | No | 4 | 3 | No |
Male | 21 | Pune | Student | 5 | 0 | 7.72 | 2 | 0 | 'Less than 5 hours' | Moderate | MCA | Yes | 11 | 4 | No |
Female | 25 | Jaipur | Student | 3 | 0 | 7.13 | 4 | 0 | '5-6 hours' | Unhealthy | B.Arch | No | 1 | 2 | Yes |
Male | 24 | Pune | Student | 3 | 0 | 5.66 | 5 | 0 | 'More than 8 hours' | Healthy | B.Pharm | Yes | 10 | 4 | Yes |
Male | 20 | Srinagar | Student | 1 | 0 | 6.69 | 2 | 0 | '5-6 hours' | Moderate | 'Class 12' | No | 3 | 2 | Yes |
Male | 20 | Kalyan | Student | 2 | 0 | 9.93 | 3 | 0 | 'More than 8 hours' | Healthy | 'Class 12' | Yes | 3 | 4 | Yes |
Female | 33 | Srinagar | Student | 3 | 0 | 5.48 | 3 | 0 | '7-8 hours' | Moderate | BE | Yes | 0 | 2 | No |
Male | 22 | Chennai | Student | 1 | 0 | 9.41 | 4 | 0 | 'More than 8 hours' | Unhealthy | BCA | No | 1 | 5 | No |
Female | 20 | Ludhiana | Student | 3 | 0 | 9.88 | 3 | 0 | 'Less than 5 hours' | Moderate | 'Class 12' | Yes | 10 | 4 | No |
Female | 31 | Meerut | Student | 3 | 0 | 9.42 | 2 | 0 | '7-8 hours' | Moderate | M.Ed | Yes | 10 | 3 | Yes |
Female | 19 | Bhopal | Student | 1 | 0 | 7.09 | 2 | 0 | '5-6 hours' | Moderate | 'Class 12' | Yes | 1 | 1 | Yes |
Female | 29 | Lucknow | Student | 5 | 0 | 8.62 | 1 | 0 | 'More than 8 hours' | Unhealthy | MD | Yes | 12 | 5 | Yes |
Male | 23 | Pune | Student | 2 | 0 | 5.74 | 5 | 0 | 'More than 8 hours' | Unhealthy | B.Tech | No | 6 | 1 | No |
Female | 29 | Surat | Student | 2 | 0 | 7.53 | 5 | 0 | 'Less than 5 hours' | Moderate | LLB | No | 0 | 1 | Yes |
Male | 29 | Ghaziabad | Student | 5 | 0 | 7.94 | 1 | 0 | '5-6 hours' | Moderate | BSc | No | 4 | 3 | No |
Female | 20 | Chennai | Student | 2 | 0 | 9.17 | 3 | 0 | 'Less than 5 hours' | Unhealthy | 'Class 12' | Yes | 7 | 5 | No |
Male | 33 | Kolkata | Student | 3 | 0 | 5.88 | 3 | 0 | 'More than 8 hours' | Unhealthy | M.Pharm | Yes | 11 | 1 | No |
Female | 29 | Vasai-Virar | Student | 5 | 0 | 9.6 | 2 | 0 | '5-6 hours' | Moderate | B.Arch | No | 12 | 3 | Yes |
Female | 25 | Kanpur | Student | 2 | 0 | 6.05 | 4 | 0 | 'Less than 5 hours' | Moderate | M.Tech | Yes | 1 | 2 | No |
Male | 32 | Varanasi | Student | 3 | 0 | 5.16 | 1 | 0 | 'More than 8 hours' | Unhealthy | B.Arch | Yes | 0 | 4 | Yes |
Male | 28 | Varanasi | Student | 5 | 0 | 9.96 | 2 | 0 | '7-8 hours' | Unhealthy | B.Com | Yes | 10 | 5 | No |
Male | 24 | Jaipur | Student | 1 | 0 | 9.93 | 5 | 0 | '5-6 hours' | Healthy | B.Pharm | Yes | 7 | 3 | Yes |
Male | 19 | Ghaziabad | Student | 2 | 0 | 8.5 | 5 | 0 | '5-6 hours' | Unhealthy | 'Class 12' | No | 6 | 2 | Yes |
Male | 31 | Agra | Student | 5 | 0 | 8.61 | 3 | 0 | 'Less than 5 hours' | Moderate | MBBS | Yes | 1 | 4 | Yes |
Male | 31 | Srinagar | Student | 1 | 0 | 7.52 | 5 | 0 | 'Less than 5 hours' | Healthy | LLM | Yes | 5 | 1 | Yes |
Male | 27 | Vasai-Virar | Student | 1 | 0 | 9.24 | 4 | 0 | '5-6 hours' | Moderate | MA | No | 7 | 2 | Yes |
Male | 26 | Srinagar | Student | 3 | 0 | 8.5 | 4 | 0 | 'Less than 5 hours' | Moderate | 'Class 12' | Yes | 10 | 5 | No |
Male | 26 | Surat | Student | 4 | 0 | 6.75 | 2 | 0 | 'Less than 5 hours' | Healthy | MBBS | Yes | 6 | 3 | Yes |
Female | 25 | Nagpur | Student | 3 | 0 | 9.94 | 3 | 0 | '5-6 hours' | Healthy | MSc | Yes | 12 | 4 | No |
Female | 20 | Kanpur | Student | 4 | 0 | 5.08 | 2 | 0 | 'Less than 5 hours' | Unhealthy | 'Class 12' | Yes | 10 | 2 | No |
Male | 24 | Vasai-Virar | Student | 3 | 0 | 9.19 | 3 | 0 | 'More than 8 hours' | Healthy | B.Tech | Yes | 10 | 4 | No |
Male | 23 | Visakhapatnam | Student | 5 | 0 | 5.59 | 5 | 0 | 'Less than 5 hours' | Unhealthy | MBA | Yes | 9 | 4 | No |
Female | 29 | Vasai-Virar | Student | 2 | 0 | 8.14 | 1 | 0 | 'Less than 5 hours' | Moderate | BCA | Yes | 10 | 1 | Yes |
Female | 25 | Bangalore | Student | 3 | 0 | 6.21 | 3 | 0 | '5-6 hours' | Healthy | B.Tech | Yes | 6 | 3 | No |
Female | 24 | Kalyan | Student | 4 | 0 | 5.16 | 2 | 0 | 'Less than 5 hours' | Moderate | BSc | No | 0 | 1 | No |
Male | 23 | Mumbai | Student | 4 | 0 | 10 | 4 | 0 | 'More than 8 hours' | Moderate | LLB | Yes | 1 | 5 | Yes |
Male | 33 | Vadodara | Student | 3 | 0 | 9.41 | 2 | 0 | '7-8 hours' | Healthy | B.Arch | Yes | 10 | 4 | Yes |
Female | 34 | Bhopal | Student | 3 | 0 | 9.96 | 3 | 0 | 'Less than 5 hours' | Unhealthy | MA | Yes | 6 | 4 | No |
Female | 22 | Rajkot | Student | 3 | 0 | 9.5 | 4 | 0 | '7-8 hours' | Healthy | BCA | Yes | 9 | 3 | Yes |
Female | 21 | Ghaziabad | Student | 5 | 0 | 7.09 | 4 | 0 | 'More than 8 hours' | Moderate | B.Arch | Yes | 8 | 3 | No |
Female | 28 | Visakhapatnam | Student | 5 | 0 | 6.38 | 2 | 0 | '7-8 hours' | Healthy | B.Pharm | No | 6 | 4 | Yes |
Female | 22 | Chennai | Student | 2 | 0 | 7.61 | 2 | 0 | '7-8 hours' | Moderate | 'Class 12' | Yes | 1 | 3 | Yes |
Female | 20 | Kanpur | Student | 4 | 0 | 8.09 | 3 | 0 | '7-8 hours' | Healthy | 'Class 12' | No | 7 | 2 | No |
Male | 23 | Vadodara | Student | 2 | 0 | 9.44 | 2 | 0 | '7-8 hours' | Healthy | MCA | No | 12 | 3 | No |
Female | 21 | Srinagar | Student | 5 | 0 | 5.11 | 5 | 0 | '5-6 hours' | Unhealthy | B.Arch | Yes | 10 | 4 | Yes |
Male | 22 | Surat | Student | 1 | 0 | 8.74 | 1 | 0 | 'More than 8 hours' | Healthy | MSc | No | 6 | 1 | No |
Female | 24 | Hyderabad | Student | 3 | 0 | 6.02 | 4 | 0 | '5-6 hours' | Healthy | B.Arch | Yes | 12 | 4 | No |
Male | 23 | Kalyan | Student | 5 | 0 | 5.86 | 3 | 0 | 'Less than 5 hours' | Unhealthy | B.Tech | Yes | 10 | 2 | No |
Female | 27 | Patna | Student | 5 | 0 | 9.41 | 1 | 0 | '7-8 hours' | Healthy | ME | Yes | 12 | 2 | Yes |
Male | 18 | Patna | Student | 5 | 0 | 6.89 | 1 | 0 | '7-8 hours' | Moderate | 'Class 12' | Yes | 5 | 1 | Yes |
Male | 30 | Rajkot | Student | 3 | 0 | 6.39 | 2 | 0 | '5-6 hours' | Unhealthy | BCA | Yes | 8 | 1 | No |
Male | 33 | Ahmedabad | Student | 1 | 0 | 9.96 | 3 | 0 | 'More than 8 hours' | Unhealthy | MCA | Yes | 2 | 1 | Yes |
Male | 24 | Ghaziabad | Student | 1 | 0 | 7.77 | 1 | 0 | '5-6 hours' | Moderate | B.Arch | No | 4 | 3 | Yes |
Male | 24 | Kalyan | Student | 5 | 0 | 6.81 | 4 | 0 | '5-6 hours' | Healthy | MHM | Yes | 10 | 3 | No |
Female | 24 | Varanasi | Student | 2 | 0 | 5.48 | 2 | 0 | 'Less than 5 hours' | Moderate | 'Class 12' | Yes | 12 | 3 | Yes |
Male | 21 | Rajkot | Student | 3 | 0 | 6.38 | 5 | 0 | 'Less than 5 hours' | Healthy | MCA | Yes | 8 | 5 | No |
Female | 22 | Chennai | Student | 4 | 0 | 8.04 | 1 | 0 | 'More than 8 hours' | Moderate | M.Com | Yes | 4 | 5 | No |
Male | 33 | Agra | Student | 5 | 0 | 8.74 | 4 | 0 | '5-6 hours' | Moderate | M.Tech | No | 0 | 2 | No |
Female | 26 | Jaipur | Student | 5 | 0 | 7.32 | 5 | 0 | 'Less than 5 hours' | Healthy | B.Ed | Yes | 8 | 2 | Yes |
Male | 31 | Patna | Student | 4 | 0 | 5.72 | 5 | 0 | 'More than 8 hours' | Moderate | 'Class 12' | No | 6 | 1 | Yes |
Male | 19 | Faridabad | Student | 3 | 0 | 8.24 | 3 | 0 | 'Less than 5 hours' | Healthy | 'Class 12' | Yes | 11 | 2 | Yes |
Male | 27 | Delhi | Student | 4 | 0 | 5.99 | 3 | 0 | 'Less than 5 hours' | Unhealthy | B.Tech | Yes | 10 | 1 | No |
Male | 25 | Surat | Student | 3 | 0 | 9.49 | 1 | 0 | '7-8 hours' | Moderate | BE | Yes | 12 | 4 | No |
Female | 30 | Bangalore | Student | 1 | 0 | 5.99 | 2 | 0 | 'More than 8 hours' | Moderate | B.Com | No | 11 | 3 | Yes |
Male | 30 | Hyderabad | Student | 4 | 0 | 9.96 | 1 | 0 | 'More than 8 hours' | Moderate | MCA | No | 11 | 2 | No |
Male | 24 | Rajkot | Student | 4 | 0 | 5.79 | 5 | 0 | '7-8 hours' | Healthy | M.Tech | Yes | 8 | 4 | Yes |
Male | 27 | Hyderabad | Student | 1 | 0 | 7.49 | 3 | 0 | '5-6 hours' | Healthy | MD | No | 7 | 1 | Yes |
Female | 20 | Ludhiana | Student | 2 | 0 | 6.69 | 3 | 0 | 'Less than 5 hours' | Moderate | 'Class 12' | Yes | 12 | 4 | Yes |
Male | 30 | Hyderabad | Student | 2 | 0 | 7.51 | 2 | 0 | '5-6 hours' | Moderate | BHM | Yes | 8 | 4 | Yes |
Male | 24 | Nagpur | Student | 1 | 0 | 8.58 | 5 | 0 | '5-6 hours' | Healthy | BE | Yes | 3 | 5 | No |
Female | 27 | Patna | Student | 3 | 0 | 6.1 | 2 | 0 | '5-6 hours' | Moderate | BSc | Yes | 11 | 5 | No |
Male | 33 | Ahmedabad | Student | 5 | 0 | 7.61 | 2 | 0 | 'Less than 5 hours' | Unhealthy | BHM | Yes | 10 | 4 | No |
Male | 24 | Lucknow | Student | 3 | 0 | 6.78 | 5 | 0 | '5-6 hours' | Unhealthy | 'Class 12' | Yes | 10 | 5 | Yes |
Female | 33 | Bangalore | Student | 5 | 0 | 6.27 | 5 | 0 | 'More than 8 hours' | Healthy | MSc | No | 9 | 1 | No |
Female | 19 | Hyderabad | Student | 5 | 0 | 9.5 | 3 | 0 | '5-6 hours' | Unhealthy | 'Class 12' | Yes | 9 | 2 | Yes |
Female | 33 | Srinagar | Student | 5 | 0 | 8.62 | 2 | 0 | '5-6 hours' | Moderate | ME | Yes | 9 | 3 | Yes |
Female | 23 | Vasai-Virar | Student | 5 | 0 | 8.91 | 1 | 0 | 'More than 8 hours' | Moderate | BSc | Yes | 6 | 2 | No |
Male | 24 | Visakhapatnam | Student | 3 | 0 | 6.04 | 4 | 0 | 'More than 8 hours' | Moderate | B.Pharm | No | 6 | 2 | No |
Male | 26 | Surat | Student | 4 | 0 | 8.75 | 1 | 0 | 'Less than 5 hours' | Unhealthy | BCA | Yes | 11 | 1 | No |
Male | 33 | Jaipur | Student | 5 | 0 | 8.58 | 4 | 0 | 'Less than 5 hours' | Moderate | MCA | No | 9 | 1 | No |
Male | 19 | Surat | Student | 3 | 0 | 6.89 | 5 | 0 | 'Less than 5 hours' | Moderate | 'Class 12' | Yes | 11 | 2 | No |
Female | 28 | Varanasi | Student | 4 | 0 | 7.25 | 4 | 0 | 'More than 8 hours' | Moderate | BE | No | 7 | 3 | Yes |
Female | 28 | Thane | Student | 4 | 0 | 9.72 | 1 | 0 | '5-6 hours' | Healthy | BSc | Yes | 5 | 4 | Yes |
Female | 25 | Thane | Student | 1 | 0 | 5.59 | 4 | 0 | '5-6 hours' | Moderate | BCA | Yes | 10 | 3 | No |
Male | 27 | Bhopal | Student | 2 | 0 | 6.02 | 2 | 0 | 'More than 8 hours' | Healthy | B.Ed | Yes | 8 | 5 | Yes |
Male | 20 | Kanpur | Student | 4 | 0 | 8.04 | 3 | 0 | '7-8 hours' | Moderate | 'Class 12' | No | 7 | 1 | No |
Male | 29 | Nagpur | Student | 4 | 0 | 6.78 | 2 | 0 | 'More than 8 hours' | Unhealthy | M.Pharm | Yes | 6 | 5 | No |
Male | 27 | Jaipur | Student | 4 | 0 | 8.69 | 2 | 0 | 'More than 8 hours' | Unhealthy | B.Ed | Yes | 5 | 5 | Yes |
Female | 21 | Agra | Student | 5 | 0 | 7.25 | 3 | 0 | '7-8 hours' | Moderate | B.Ed | Yes | 6 | 4 | Yes |
Male | 30 | Visakhapatnam | Student | 3 | 0 | 7.94 | 3 | 0 | '5-6 hours' | Healthy | B.Ed | No | 10 | 2 | No |
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