AyaZJaradat/arabert-base-v02-finetuned-MRC
Question Answering • 0.1B • Updated
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xed in position 44: invalid continuation byte
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 233, 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 2998, 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 1918, 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 2093, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1576, 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 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/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 1212, 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 0xed in position 44: invalid continuation byteNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset
Overview
ArQuAD is an expert-annotated Arabic Machine Reading Comprehension (MRC) dataset. It comprises 16,020 questions posed by language experts on passages extracted from the most frequently visited Arabic Wikipedia articles. Each question's answer is a text segment from the corresponding reading passage.
Citation
If you use ArQuAD in your research, please cite the following paper:
bibtex @article{obeidat2024arquad, title={ArQuAD: An Expert-Annotated Arabic Machine Reading Comprehension Dataset}, author={Obeidat, Rasha and Al-Harbi, Marwa and Al-Ayyoub, Mahmoud and Alawneh, Luay}, journal={Cognitive Computation}, pages={1--20}, year={2024}, publisher={Springer} }
Dataset Description
ArQuAD consists of 16,020 question-answer pairs created by Arabic language specialists with BA and MA degrees. The passages are sourced from 1335 of the most viewed Arabic Wikipedia articles, covering a wide range of topics including sports, politics, technology, religion, and more.
Structure
The dataset is provided in both CSV and SQuAD JSON formats with the following columns:
passage: The original passage from Wikipedia.question: The question posed by the annotator.answer: The minimal text span from the passage that answers the question.
Statistics
The dataset includes:
- Total pairs: 16,020
- Passages: 4,005
- Domains covered: Various (sports, politics, technology, etc.)
Key Features
- Expert-Annotated: Questions and answers are created by language experts, ensuring high quality and relevance.
- Diverse: Covers a wide range of topics to ensure comprehensive testing of MRC models, also includes a mix of factoid and non-factoid questions.
Usage
Download the CSV file from the repository to use this dataset and load it into your preferred data analysis tool.
Contact
or any questions or issues regarding the dataset, please contact: Rasha Obeidat:rmobeidat@just.edu.jo (or any of the authors)
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Models trained or fine-tuned on RashaMObeidat/ArQuAD