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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 ({'1abel'}) and 1 missing columns ({'label'}).

This happened while the csv dataset builder was generating data using

hf://datasets/miteshkotak7/unilabel_classification/raw_data/test.csv (at revision b504a05002b99129bb04bcc6ed5de5619e31109f)

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
              text: string
              1abel: int64
              label_text: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 595
              to
              {'text': Value(dtype='string', id=None), 'label': Value(dtype='int64', id=None), 'label_text': 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 new columns ({'1abel'}) and 1 missing columns ({'label'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/miteshkotak7/unilabel_classification/raw_data/test.csv (at revision b504a05002b99129bb04bcc6ed5de5619e31109f)
              
              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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text
string
label
int64
label_text
string
The user is going through a breakup and worried to stay forever/never find love again
0
Blowing balloons
The user has an upcoming job interview and is consumed by thoughts of potential rejection or making a poor impression.
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Blowing balloons
The user is feeling overwhelmed with bills and debts, and is concerned about their financial future.
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Blowing balloons
The user or a close family member has been diagnosed with a medical condition, leading to worries about treatment outcomes and overall well-being.
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A parent is concerned about their child's behavior or performance at school and fears they might not be providing adequate support.
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Blowing balloons
The user has to deliver a presentation or speech and is anxious about forgetting their lines or being judged by their audience.
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Blowing balloons
The user has had a recent fallout with a close friend or family member and is consumed by thoughts of the rift widening or not being able to reconcile.
0
Blowing balloons
The user is about to move to a new city or start at a new school, leading to fears of not fitting in or missing their old life.
0
Blowing balloons
The user is in a new job or role and constantly feels like a fraud, fearing they aren’t good enough and that others will eventually discover they aren't competent.
1
Imaginary friend
After experiencing a minor slight or criticism, the user spirals into feelings of worthlessness, thinking no one truly likes or respects them.
1
Imaginary friend
The users hates looking in the mirror and always focuses on all the perceived flaws. They think their body is not good enough.
1
Imaginary friend
The user can’t forgive themselves for a past mistake that was made.
1
Imaginary friend
The user compares themselves to others and feels less successful than everyone else.
1
Imaginary friend
The user tells themselves how incompetent they are and doesn’t dare to take on new tasks at work.
1
Imaginary friend
After a social event the user talks negatively to themselves for perceived social missteps.
1
Imaginary friend
The user had a personal goal to quit smoking and it now berating themselves for not succeeding with sentences like “I'll never be able to do it" or "I'm such a failure."
1
Imaginary friend
The user suddenly feels a wave of anxiety without any apparent trigger, leaving them confused and overwhelmed.
2
Dimensions of negative emotions
The user feels anxious and wants to learn more about what anxiety is and how it presents itself.
2
Dimensions of negative emotions
The user feels anxious after meeting friends.
2
Dimensions of negative emotions
The user is anxious towards life changes (like moving to a new city).
2
Dimensions of negative emotions
After the loss of the user’s husband, they feel horrible but can’t formulate what is emotionally going on inside of them.
2
Dimensions of negative emotions
The user mentions that they feel frustrated or irritated more easily but doesn’t know why.
2
Dimensions of negative emotions
The user had a recurring bad dream last night and has been feeling anxious since then.
2
Dimensions of negative emotions
The user feels anxious when left alone with their thoughts.
2
Dimensions of negative emotions
The user has received a promotion at work and feels excited.
3
Boost positive experience
The user met a long-lost friend and is filled with nostalgia and happiness.
3
Boost positive experience
The user completed a half-marathon.
3
Boost positive experience
The user was complimented by a stranger on a bus. The stranger complimented they users new scarf.
3
Boost positive experience
The user has been learning how to play the Gitarre and mastered his first private concert.
3
Boost positive experience
The user volunteered in a soup kitchen for homeless people (act of kindness) and feels warm and positive.
3
Boost positive experience
The user enjoyed going to the new art exhibition in town.
3
Boost positive experience
After going to a festival with a group of friends the user feels connected and thankful.
3
Boost positive experience
The user just started college in a new city and feels out of place.
4
Dealing with loneliness
The user recently went through the death of a close friend and feels empty.
4
Dealing with loneliness
The user is a parent and the only daughter just left to go to college. The home feels quiet and the parent feels lonely.
4
Dealing with loneliness
The user just retired from work and feels disconnected.
4
Dealing with loneliness
The user feels all alone because a friend didn’t invite the user to the birthday party.
4
Dealing with loneliness
The user just moved town with their husband and doesn’t seem to adapt to the new city.
4
Dealing with loneliness
The user had an argument with a friend and has drifted apart from the friend group. The user feels left out and lonely.
4
Dealing with loneliness
The user mentions many friends but still feels lonely and disconnected within the peer group.
4
Dealing with loneliness
The user is experiencing a lot of pressure at work because the boss is very demanding. They feel frustrated.
5
Venting
The user had a huge argument with their girlfriend. They feel unheard and left alone with their thoughts and frustrations.
5
Venting
The user is a parent and is exhausted from taking care of the children by themselves.
5
Venting
The user is a student and has an upcoming exam and essays to hand in. It’s been too much to handle.
5
Venting
The user just lost their job and is very stressed.
5
Venting
The user went to a wedding and felt under pressure because the user isn’t married yet. The user is very frustrated because people expect the user to be married soon.
5
Venting
The user feeling the weight of multiple responsibilities (work, husband, children, finances) and feels taken for granted.
5
Venting
The user complains that the boyfriend will never listen properly. The user doesn’t feel heard.
5
Venting
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