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Error code: StreamingRowsError Exception: CastError Message: Couldn't cast comment_content: string ekman_comment: string __index_level_0__: int64 -- schema metadata -- huggingface: '{"info": {"features": {"comment_content": {"dtype": "string' + 138 to {'text': Value(dtype='string', id=None), 'emotions': [ClassLabel(names=['Anger', 'Disgust', 'Fear', 'Stress', 'Frustration', 'Happiness', 'Sadness', 'Surprise', 'Punishment', 'Reward', 'Political Discourse', 'Anxiety', 'Aggression', 'Injustice', 'Disappointment', 'Sarcasm', 'Joy', 'Neutral'], id=None)], '__index_level_0__': Value(dtype='int64', id=None)} because column names don't match Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise return get_rows( File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator return func(*args, **kwargs) File "/src/services/worker/src/worker/utils.py", line 77, in get_rows rows_plus_one = list(itertools.islice(ds, rows_max_number + 1)) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2093, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 279, in __iter__ for key, pa_table in self.generate_tables_fn(**gen_kwags): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 93, in _generate_tables yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 71, in _cast_table pa_table = table_cast(pa_table, self.info.features.arrow_schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema raise CastError( datasets.table.CastError: Couldn't cast comment_content: string ekman_comment: string __index_level_0__: int64 -- schema metadata -- huggingface: '{"info": {"features": {"comment_content": {"dtype": "string' + 138 to {'text': Value(dtype='string', id=None), 'emotions': [ClassLabel(names=['Anger', 'Disgust', 'Fear', 'Stress', 'Frustration', 'Happiness', 'Sadness', 'Surprise', 'Punishment', 'Reward', 'Political Discourse', 'Anxiety', 'Aggression', 'Injustice', 'Disappointment', 'Sarcasm', 'Joy', 'Neutral'], id=None)], '__index_level_0__': Value(dtype='int64', id=None)} because column names don't match
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Emotion Dataset
Overview
This dataset contains text comments labeled with emotions. Each comment is associated with one or more emotion labels, represented as indices. The mapping from indices to label names is as follows:
Index | Label |
---|---|
0 | Anger |
1 | Disgust |
2 | Fear |
3 | Stress |
4 | Frustration |
5 | Happiness |
6 | Sadness |
7 | Surprise |
8 | Punishment |
9 | Reward |
10 | Political Discourse |
11 | Anxiety |
12 | Aggression |
13 | Injustice |
14 | Disappointment |
15 | Sarcasm |
16 | Joy |
17 | Neutral |
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