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Error code: FeaturesError Exception: ParserError Message: Error tokenizing data. C error: Expected 1 fields in line 5, saw 2 Traceback: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, in compute compute_first_rows_from_parquet_response( File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response rows_index = indexer.get_rows_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 640, in get_rows_index return RowsIndex( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 521, in __init__ self.parquet_index = self._init_parquet_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 538, in _init_parquet_index response = get_previous_step_or_raise( File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 591, in get_previous_step_or_raise raise CachedArtifactError( libcommon.simple_cache.CachedArtifactError: The previous step failed. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head return _examples_to_batch(list(self.take(n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__ yield from islice(self.ex_iterable, self.n) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__ for key, pa_table in self.generate_tables_fn(**self.kwargs): File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 195, in _generate_tables for batch_idx, df in enumerate(csv_file_reader): File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__ return self.get_chunk() File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk return self.read(nrows=size) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read ) = self._engine.read( # type: ignore[attr-defined] File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read chunks = self._reader.read_low_memory(nrows) File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status File "parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error pandas.errors.ParserError: Error tokenizing data. C error: Expected 1 fields in line 5, saw 2
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Dataset Card for Dataset toxic-teenage-relationships
Dataset Summary
This dataset is prototypes collected by Spanish adolescents (4 girls and 4 boys) aged 15-19 years with previous training on toxic relationships. For 2 weeks, this group of people analyzed phrases that had occurred in their environment or that they produced themselves, classifying them as toxic or healthy and collecting them through a form.
Supported Tasks and Leaderboards
This dataset supported text-classification
Languages
The sentences are in Spanish.
Dataset Structure
Data Instances
A data point consists of a comment followed by a label that is associated with it. {'label': 0,'text': 'Sample comment text', }
Data Fields
label: value of 0(non-toxic) or 1(toxic) classifying the comment text: the text of the comment
Data Splits
The data is split into a training and testing set.
Dataset Creation
Curation Rationale
The dataset was created to help in efforts to identify and curb instances of toxicity between teenagers.
Source Data
Initial Data Collection and Normalization
This dataset is prototypes collected by me thanks to my group of students (4 girls and 4 boys) aged 15-19 with previous training on toxic relationships. For 2 weeks, this group of teenagers analysed phrases that had occurred in their environment (social media, direct communication) or that they themselves produced, classifying them as toxic or healthy and collecting them through a form. Afterwards, the examples given by each student were discussed and evaluated by the others, using peer evaluation. The classification was also ratified by two specialists in the field.
Personal and Sensitive Information
No personal or sensitive information have been scored in this dataset.
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
If words associated with swearing, insults or profanity appear in a comment, it is likely to be classified as toxic, regardless of the author's tone or intention, e.g. humorous/self-critical. This could present some bias towards already vulnerable minority groups.
Licensing Information
Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA)
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