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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)Need help to make the dataset viewer work? Open a discussion for direct support.
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. | 0 | Blowing balloons |
The user is feeling overwhelmed with bills and debts, and is concerned about their financial future. | 0 | 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. | 0 | Blowing balloons |
A parent is concerned about their child's behavior or performance at school and fears they might not be providing adequate support. | 0 | Blowing balloons |
The user has to deliver a presentation or speech and is anxious about forgetting their lines or being judged by their audience. | 0 | 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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