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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: ValueError
Message: Not able to read records in the JSON file at hf://datasets/sonquoctran/SQuAD_AGent@ad802cdcad76b2869a297d914ccdd6b94d1b46eb/SQuAD_AGent_train.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['version', 'data']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 241, 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/json/json.py", line 170, in _generate_tables
raise ValueError(
ValueError: Not able to read records in the JSON file at hf://datasets/sonquoctran/SQuAD_AGent@ad802cdcad76b2869a297d914ccdd6b94d1b46eb/SQuAD_AGent_train.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['version', 'data']. Select the correct one and provide it as `field='XXX'` to the dataset loading method.Need help to make the dataset viewer work? Open a discussion for direct support.
YAML Metadata
Warning:
empty or missing yaml metadata in repo card
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AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions
Introduction
AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions
Son Quoc Tran, Gia-Huy Do, Phong Nguyen-Thuan Do, Matt Kretchmar, Xinya Du
Computer Science Department, Denison University, Granville, Ohio
The UIT NLP Group, Vietnam National University, Ho Chi Minh City
University of Texas at Dallas
AGent
Agent pipeline has three steps:
1. Matching questions with new contexts.
2. Identifying hard unanswerable questions.
3. Filtering out answerable questions.
Citation and Contact
If you found this repository helpful, please cite:
@misc{tran2023agent,
title={AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions},
author={Son Quoc Tran and Gia-Huy Do and Phong Nguyen-Thuan Do and Matt Kretchmar and Xinya Du},
year={2023},
eprint={2309.05103},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Please contact Son Quoc Tran at sqt2@cornell.edu if you have any questions.
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