SQuAD (Stanford Question Answering Dataset)
Introduced by Rajpurkar et al. in SQuAD: 100,000+ Questions for Machine Comprehension of Text
The Stanford Question Answering Dataset (SQuAD) is a collection of question-answer pairs derived from Wikipedia articles. In SQuAD, the correct answers of questions can be any sequence of tokens in the given text. Because the questions and answers are produced by humans through crowdsourcing, it is more diverse than some other question-answering datasets. SQuAD 1.1 contains 107,785 question-answer pairs on 536 articles. SQuAD2.0 (open-domain SQuAD, SQuAD-Open), the latest version, combines the 100,000 questions in SQuAD1.1 with over 50,000 un-answerable questions written adversarially by crowdworkers in forms that are similar to the answerable ones.
Source: Deep Learning Based Text Classification: A Comprehensive ReviewBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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SQuAD2.0
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IE-Net
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SQuAD1.1
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{ANNA}
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SQuAD1.1 dev
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T5-11B
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squad_v2
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deepset/roberta-large-squad2
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SQuAD2.0 dev
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XLNet
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SQuAD1.1
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ERNIE-GENLARGE
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SQuAD
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Blended RAG
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squad_adversarial
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deepset/roberta-large-squad2
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SQuAD1.1 dev
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SPARTA
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SQuAD1.1
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DrQA
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SQuAD
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Info-HCVAE
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Papers
| Paper | Code | Results | Date | Stars |
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