Datasets:

---

Dariachugu

/

medtech_recommention

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 9 new columns ({'uniqueID', 'usefulCount', 'rating', 'drugName', 'review', 'condition', 'date', 'effective', 'clean_review'}) and 205 missing columns ({'put', 'is', 'last', 'stopped', 'felt', 'up', 'days', 'hours', 'used', 'bad', 'thing', 'did', 'having', 'than', 'never', 'review_length', 'weeks', 'however', 'gain', 'while', 'its', 'side', 'of', '039', 'on', 'drug', 'as', 'better', 'first', 'not', 'using', 'or', 'now', 'symptoms', 'can', 'help', 'being', 'birth', 'very', 've', 'know', 'if', 'took', 'any', 'well', 'day', 'life', 'it', 'little', 'negative_keywords', 'were', 'lost', 'me', 'bleeding', 'helped', 'for', 'time', 'be', 'mood', 'effect', 'weight', 'still', 'all', 'every', 'out', 'experience', 'body', 'didn', 'again', 'there', 'medication', 'almost', 'but', 'dose', 'this', 'periods', 'because', 'try', 'taking', 'until', 'use', 'even', 'off', 'other', 'got', 'great', 'pill', 'then', 'an', 'worked', '10', 'quot', 'think', 'no', 'at', 'sleep', 'was', 'ago', 'do', 'them', 'year', 'could', 'month', 'cramps', 'condition_encoded', 'pills', 'times', 'also', 'been', 'take', 'don', 'sentiment_score', 'long', 'about', 'which', 'after', 'years', 'night', 'taken', 'ever', 'going', 'one', 'severe', 'since', 'he', 'by', 'effects', 'have', 'my', 'back', 'acne', 'worse', 'control', 'the', 'recommend', 'sex', 'feeling', 'has', 'positive_keywords', 'down', 'good', 'started', 'so', 'say', 'had', 'away', 'doctor', 'much', 'really', 'would', 'nothing', 'some', 'most', 'too', 'normal', 'week', 'pain', 'when', 'far', 'that', 'anxiety', 'morning', 'work', 'with', 'few', 'two', 'like', 'went', 'from', 'works', 'and', 'made', 'prescribed', 'medicine', 'get', 'only', 'will', 'mg', 'they', 'more', 'nausea', 'stop', 'feel', 'lot', 'in', 'am', 'within', 'depression', 'tried', 'you', 'are', 'old', 'getting', 'period', 'to', 'months', 'over', 'what', 'skin', 'without', 'go', 'your', 'just', 'before', 'amp'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Dariachugu/medtech_recommention/train_preprocessed.csv (at revision 46928b9b30a4dd103b6bbdcfde410dc61486ef98)

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
              uniqueID: int64
              drugName: string
              condition: string
              review: string
              rating: int64
              date: string
              usefulCount: int64
              clean_review: string
              effective: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1297
              to
              {'039': Value(dtype='float64', id=None), '10': Value(dtype='float64', id=None), 'about': Value(dtype='float64', id=None), 'acne': Value(dtype='float64', id=None), 'after': Value(dtype='float64', id=None), 'again': Value(dtype='float64', id=None), 'ago': Value(dtype='float64', id=None), 'all': Value(dtype='float64', id=None), 'almost': Value(dtype='float64', id=None), 'also': Value(dtype='float64', id=None), 'am': Value(dtype='float64', id=None), 'amp': Value(dtype='float64', id=None), 'an': Value(dtype='float64', id=None), 'and': Value(dtype='float64', id=None), 'anxiety': Value(dtype='float64', id=None), 'any': Value(dtype='float64', id=None), 'are': Value(dtype='float64', id=None), 'as': Value(dtype='float64', id=None), 'at': Value(dtype='float64', id=None), 'away': Value(dtype='float64', id=None), 'back': Value(dtype='float64', id=None), 'bad': Value(dtype='float64', id=None), 'be': Value(dtype='float64', id=None), 'because': Value(dtype='float64', id=None), 'been': Value(dtype='float64', id=None), 'before': Value(dtype='float64', id=None), 'being': Value(dtype='float64', id=None), 'better': Value(dtype='float64', id=None), 'birth': Value(dtype='float64', id=None), 'bleeding': Value(dtype='float64', id=None), 'body': Value(dtype='float64', id=None), 'but': Value(dtype='float64', id=None), 'by': Value(dtype='float64', id=None), 'can': Value(dtype='float64', id=None), 'control': Value(dtype='float64', id=None), 'could': Value(dtype='float64', id=None), 'cramps': Value(dtype=
              ...
              ne), 'up': Value(dtype='float64', id=None), 'use': Value(dtype='float64', id=None), 'used': Value(dtype='float64', id=None), 'using': Value(dtype='float64', id=None), 've': Value(dtype='float64', id=None), 'very': Value(dtype='float64', id=None), 'was': Value(dtype='float64', id=None), 'week': Value(dtype='float64', id=None), 'weeks': Value(dtype='float64', id=None), 'weight': Value(dtype='float64', id=None), 'well': Value(dtype='float64', id=None), 'went': Value(dtype='float64', id=None), 'were': Value(dtype='float64', id=None), 'what': Value(dtype='float64', id=None), 'when': Value(dtype='float64', id=None), 'which': Value(dtype='float64', id=None), 'while': Value(dtype='float64', id=None), 'will': Value(dtype='float64', id=None), 'with': Value(dtype='float64', id=None), 'within': Value(dtype='float64', id=None), 'without': Value(dtype='float64', id=None), 'work': Value(dtype='float64', id=None), 'worked': Value(dtype='float64', id=None), 'works': Value(dtype='float64', id=None), 'worse': Value(dtype='float64', id=None), 'would': Value(dtype='float64', id=None), 'year': Value(dtype='float64', id=None), 'years': Value(dtype='float64', id=None), 'you': Value(dtype='float64', id=None), 'your': Value(dtype='float64', id=None), 'condition_encoded': Value(dtype='int64', id=None), 'sentiment_score': Value(dtype='float64', id=None), 'review_length': Value(dtype='int64', id=None), 'positive_keywords': Value(dtype='int64', id=None), 'negative_keywords': Value(dtype='int64', 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 9 new columns ({'uniqueID', 'usefulCount', 'rating', 'drugName', 'review', 'condition', 'date', 'effective', 'clean_review'}) and 205 missing columns ({'put', 'is', 'last', 'stopped', 'felt', 'up', 'days', 'hours', 'used', 'bad', 'thing', 'did', 'having', 'than', 'never', 'review_length', 'weeks', 'however', 'gain', 'while', 'its', 'side', 'of', '039', 'on', 'drug', 'as', 'better', 'first', 'not', 'using', 'or', 'now', 'symptoms', 'can', 'help', 'being', 'birth', 'very', 've', 'know', 'if', 'took', 'any', 'well', 'day', 'life', 'it', 'little', 'negative_keywords', 'were', 'lost', 'me', 'bleeding', 'helped', 'for', 'time', 'be', 'mood', 'effect', 'weight', 'still', 'all', 'every', 'out', 'experience', 'body', 'didn', 'again', 'there', 'medication', 'almost', 'but', 'dose', 'this', 'periods', 'because', 'try', 'taking', 'until', 'use', 'even', 'off', 'other', 'got', 'great', 'pill', 'then', 'an', 'worked', '10', 'quot', 'think', 'no', 'at', 'sleep', 'was', 'ago', 'do', 'them', 'year', 'could', 'month', 'cramps', 'condition_encoded', 'pills', 'times', 'also', 'been', 'take', 'don', 'sentiment_score', 'long', 'about', 'which', 'after', 'years', 'night', 'taken', 'ever', 'going', 'one', 'severe', 'since', 'he', 'by', 'effects', 'have', 'my', 'back', 'acne', 'worse', 'control', 'the', 'recommend', 'sex', 'feeling', 'has', 'positive_keywords', 'down', 'good', 'started', 'so', 'say', 'had', 'away', 'doctor', 'much', 'really', 'would', 'nothing', 'some', 'most', 'too', 'normal', 'week', 'pain', 'when', 'far', 'that', 'anxiety', 'morning', 'work', 'with', 'few', 'two', 'like', 'went', 'from', 'works', 'and', 'made', 'prescribed', 'medicine', 'get', 'only', 'will', 'mg', 'they', 'more', 'nausea', 'stop', 'feel', 'lot', 'in', 'am', 'within', 'depression', 'tried', 'you', 'are', 'old', 'getting', 'period', 'to', 'months', 'over', 'what', 'skin', 'without', 'go', 'your', 'just', 'before', 'amp'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Dariachugu/medtech_recommention/train_preprocessed.csv (at revision 46928b9b30a4dd103b6bbdcfde410dc61486ef98)
              
              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)