Statements (44)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:dataset
|
| gptkbp:annotatedBy |
crowdsourcing
|
| gptkbp:answerType |
no answer (SQuAD2.0)
span from context |
| gptkbp:assesses |
F1 score
Exact Match |
| gptkbp:benchmarkStatus |
widely used
|
| gptkbp:citation |
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang. SQuAD: 100,000+ Questions for Machine Comprehension of Text. EMNLP 2016.
Pranav Rajpurkar, Robin Jia, Percy Liang. Know What You Don’t Know: Unanswerable Questions for SQuAD. ACL 2018. |
| gptkbp:contains |
questions
paragraphs answers |
| gptkbp:createdBy |
gptkb:Stanford_University
|
| gptkbp:dataSplit |
gptkb:train
examination dev |
| gptkbp:domain |
machine reading comprehension
|
| gptkbp:format |
gptkb:JSON
|
| gptkbp:fullName |
gptkb:Stanford_Question_Answering_Dataset
|
| gptkbp:hasVersion |
gptkb:SQuAD1.1
gptkb:SQuAD2.0 |
| https://www.w3.org/2000/01/rdf-schema#label |
SQuAD dataset
|
| gptkbp:impact |
advanced research in reading comprehension
standardized evaluation for QA models |
| gptkbp:language |
English
|
| gptkbp:license |
CC BY-SA 4.0
|
| gptkbp:memiliki_tugas |
question answering
|
| gptkbp:officialWebsite |
https://rajpurkar.github.io/SQuAD-explorer/
|
| gptkbp:releaseYear |
2016
|
| gptkbp:source |
Wikipedia articles
|
| gptkbp:SQuAD1.1_size |
100,000+ question-answer pairs
|
| gptkbp:SQuAD2.0_feature |
unanswerable questions
|
| gptkbp:SQuAD2.0_size |
150,000+ question-answer pairs
|
| gptkbp:type |
factoid
non-factoid |
| gptkbp:usedBy |
gptkb:BERT
gptkb:ALBERT gptkb:DistilBERT gptkb:RoBERTa gptkb:XLNet many other NLP models |
| gptkbp:usedFor |
benchmarking NLP models
|
| gptkbp:bfsParent |
gptkb:Stanford_NLP
|
| gptkbp:bfsLayer |
6
|