Datasets:

Mehdi009
/

Antisemitism_Harassment

Error code:   FeaturesError
Exception:    UnicodeDecodeError
Message:      'utf-8' codec can't decode byte 0x92 in position 4503: invalid start byte
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, 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 2831, 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 1845, 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 2012, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1507, in __iter__
                  for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 268, 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/csv/csv.py", line 188, in _generate_tables
                  csv_file_reader = pd.read_csv(file, iterator=True, dtype=dtype, **self.config.pd_read_csv_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1216, in xpandas_read_csv
                  return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
                  return _read(filepath_or_buffer, kwds)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 620, in _read
                  parser = TextFileReader(filepath_or_buffer, **kwds)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1620, in __init__
                  self._engine = self._make_engine(f, self.engine)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1898, in _make_engine
                  return mapping[engine](f, **self.options)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 93, in __init__
                  self._reader = parsers.TextReader(src, **kwds)
                File "parsers.pyx", line 574, in pandas._libs.parsers.TextReader.__cinit__
                File "parsers.pyx", line 663, in pandas._libs.parsers.TextReader._get_header
                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 2053, in pandas._libs.parsers.raise_parser_error
              UnicodeDecodeError: 'utf-8' codec can't decode byte 0x92 in position 4503: invalid start byte

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Dataset Card for Antisemitism Harassment Detection Dataset

Dataset Summary

This dataset contains labeled examples of tweets related to antisemitism harassment. It includes the tweet content, user information, and labels indicating whether the tweet contains biased or harassment content. The dataset can be used for training and evaluating models in the domain of antisemitism harassment detection, text classification, and sentiment analysis.

Supported Tasks

The dataset can be used for the following tasks:

Text Classification: Detecting antisemitism or biased content in social media posts.
Audio Classification: Detecting antisemitism harassment in spoken audio (if audio data is generated).

Languages

The language of the dataset is English (en).

Dataset Structure

Columns

The dataset contains the following columns:

TweetID: A unique identifier for each tweet.
Username: The username of the person who posted the tweet.
Text: The content of the tweet.
CreateDate: The date and time the tweet was posted.
Biased: A binary label indicating whether the tweet is biased (1) or not (0).
Keyword: The keyword associated with the tweet content.

Example Row

TweetID	Username	Text	CreateDate	Biased	Keyword
1.23e18	Celtic_Films	AIPAC should be registered as a foreign agent ...	2020-02-15 17:57:21+00	1	Israel

Usage

The dataset can be used for training models to detect antisemitism and harassment in social media posts. It can also be extended to audio classification by converting text data into synthesized speech and training audio models like Wav2Vec2 or Hubert.

Load Dataset

To load the dataset in Python, use the following code:

from datasets import load_dataset

# Load the dataset from a local CSV file
dataset = load_dataset("csv", data_files={"train": "path/to/GoldStanderDataSet.csv"})

# Inspect the first few rows
print(dataset["train"].head())

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