The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: ValueError
Message: Not able to read records in the JSON file at hf://datasets/hfl/cmrc2019@162dcd07ddb0f02e725187f2dba9eda9840bed3b/cmrc2019_train.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['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/hfl/cmrc2019@162dcd07ddb0f02e725187f2dba9eda9840bed3b/cmrc2019_train.json. You should probably indicate the field of the JSON file containing your records. This JSON file contain the following fields: ['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.
GitHub repository: https://github.com/ymcui/cmrc2019
This repository contains the data for The Third Evaluation Workshop on Chinese Machine Reading Comprehension (CMRC 2019). We will present our paper at COLING 2020,
Title: A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
Authors: Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu
Link: https://arxiv.org/abs/2004.03116
Venue: COLING 2020
Open Challenge Leaderboard (New!)
Keep track of the latest state-of-the-art systems on CMRC 2019 dataset. https://ymcui.github.io/cmrc2019/
Submission Guidelines
If you would like to test your model on the hidden test and challenge set, please follow the instructions on how to submit your model via CodaLab worksheet. https://worksheets.codalab.org/worksheets/0xe856b40d21de45bf898cd1d3c5135afe
Baseline System
We provide a BERT-based baseline system for participants (check baseline directory for more info).
Results on other sets will be annouced later.
QAC: Question-Level Accuracy
PAC: Passage-Level Accuracy
| Data | Passage # | Query # | QAC | PAC | Fake Candidates | Availability |
|---|---|---|---|---|---|---|
| Trial Data | 139 | 1,504 | 71.941% | 28.776% | No | Public |
| Train Data | 9,638 | 100,009 | N/A | N/A | No | Public |
| Development Data | 300 | 3,053 | 70.586% | 13.333% | Yes | Public |
| Qualifying Data | 500 | 5,081 | 70.01% | 8.20% | Yes | Semi-Hidden |
| Test Data | - | - | - | - | Yes | Hidden |
International Standard Language Resource Number (ISLRN)
ISLRN: 813-010-842-493-2
http://www.islrn.org/resources/resources_info/8624/
Reference
If you wish to use our data in your research, please cite our paper:
@inproceeding={cui-etal-2020-cmrc2019,
title={A Sentence Cloze Dataset for Chinese Machine Reading Comprehension},
author={Cui, Yiming and Liu, Ting and Yang, Ziqing and Chen, Zhipeng and Ma, Wentao and Che, Wanxiang and Wang, Shijin and Hu, Guoping},
booktitle = "Proceedings of the 28th International Conference on Computational Linguistics (COLING 2020)",
year={2020}
}
Organization Committee
Host: Chinese Information Processing Society of China (CIPS)
Organizer: Joint Laboratory of HIT and iFLYTEK Research (HFL)
Sponsor: iFLYTEK Co., Ltd. and iFLYTEK Research (Hebei)
Evaluation Co-Chairs
Ting Liu, Harbin Institute of Technology
Yiming Cui, Joint Laboratory of HIT and iFLYTEK Research
Official HFL WeChat Account
Follow Joint Laboratory of HIT and iFLYTEK Research (HFL) on WeChat.
Contact us
Any problems? Feel free to concat us.
Email: cmrc2019 [aT] 126 [DoT] com
Forum: CodaLab Competition Forum
CMRC 2019 Official Website (中文)：https://cmrc2019.hfl-rc.com/
CMRC 2019 Official Website (English)：https://cmrc2019.hfl-rc.com/english/
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