Datasets:

lmqg
/

qg_squad

Tasks:

Text Generation

Sub-tasks: language-modeling

Languages: English

Multilinguality: monolingual

Size Categories: 10K<n<100K

Source Datasets: squad

ArXiv:

Tags: question-generation

License:

Dataset card Viewer Files Files and versions Community

asahi417 commited on Dec 2, 2022

Commit

57bdaee

•

1 Parent(s): b1e2b35

update

Files changed (1) hide show

qg_squad.py +1 -1

qg_squad.py CHANGED Viewed

@@ -22,7 +22,7 @@ _DESCRIPTION = """
 of test and development set follows the ["Neural Question Generation"](https://arxiv.org/abs/1705.00106) work and is
 compatible with the [leader board](https://paperswithcode.com/sota/question-generation-on-squad11).
 """
-_URL = 'https://huggingface.co/datasets/lmqg/qg_squad/raw/main/data/processed'
 _URLS = {
     'train': ['{}/train{:02d}.jsonl'.format(_URL, i) for i in range(23)],
     'test': ['{}/test{:02d}.jsonl'.format(_URL, i) for i in range(4)],

 of test and development set follows the ["Neural Question Generation"](https://arxiv.org/abs/1705.00106) work and is
 compatible with the [leader board](https://paperswithcode.com/sota/question-generation-on-squad11).
 """
+_URL = 'https://huggingface.co/datasets/lmqg/qg_squad/resolve/main/data/processed'
 _URLS = {
     'train': ['{}/train{:02d}.jsonl'.format(_URL, i) for i in range(23)],
     'test': ['{}/test{:02d}.jsonl'.format(_URL, i) for i in range(4)],