SQuAD 1.1 Dataset
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A SQuAD 1.1 Dataset is SQuAD Dataset that is a 1.1 version containing over 100,000 question-answer pairs on over 500 articles.
- AKA: SQuAD 1.1.
- Context:
- Datasets available online at : https://rajpurkar.github.io/SQuAD-explorer/
- Example(s):
- Counter-Example(s):
- a CoQA Dataset,
- a SQuAD Dataset,
- a RACE Dataset.
- See: Question-Answering System, Natural Language Processing Task, Natural Language Understanding Task, Natural Language Generation Task.
References
2020a
- (CodeLab, 2020) ⇒ https://worksheets.codalab.org/worksheets/0x9a15a170809f4e2cb7940e1f256dee55/ Retrieved: 2020-12-13.
- QUOTE: This paper introduces SQuADRUn, the 2.0 release of the Stanford Question Answering Dataset (SQuAD). SQuADRUn combnies the existing data in SQuAD 1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to appear answerable. To succeed on SQuADRUn, models must both answer questions when possible, and abstain from answering when no answer is supported by the text. (...)
SQuAD 1.1, the previous version of the SQuAD dataset, contains 100,000+ question-answer pairs on 500+ articles.
- QUOTE: This paper introduces SQuADRUn, the 2.0 release of the Stanford Question Answering Dataset (SQuAD). SQuADRUn combnies the existing data in SQuAD 1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to appear answerable. To succeed on SQuADRUn, models must both answer questions when possible, and abstain from answering when no answer is supported by the text.
2020b
- (Rajpurkar, 2020) ⇒ https://rajpurkar.github.io/SQuAD-explorer/ Retrieved: 2020-12-13.
- QUOTE: SQuAD2.0 combines the 100,000 questions in SQuAD1.1 with over 50,000 unanswerable questions written adversarially by crowdworkers to look similar to answerable ones. To do well on SQuAD2.0, systems must not only answer questions when possible, but also determine when no answer is supported by the paragraph and abstain from answering.