Stanford Question Answering Dataset (SQuAD)
GPTKB entity
Statements (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:dataset
|
| gptkbp:abbreviation |
gptkb:SQuAD
|
| gptkbp:bench |
gptkb:BERT
gptkb:ALBERT gptkb:DistilBERT gptkb:RoBERTa gptkb:XLNet many other NLP models |
| gptkbp:citation |
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang. SQuAD: 100,000+ Questions for Machine Comprehension of Text. EMNLP 2016.
|
| gptkbp:contains |
questions
Wikipedia articles answers |
| gptkbp:createdBy |
gptkb:Stanford_University
|
| gptkbp:field |
natural language processing
machine reading comprehension |
| gptkbp:format |
gptkb:JSON
|
| gptkbp:hasVersion |
gptkb:SQuAD1.1
gptkb:SQuAD2.0 |
| https://www.w3.org/2000/01/rdf-schema#label |
Stanford Question Answering Dataset (SQuAD)
|
| gptkbp:language |
English
|
| gptkbp:license |
CC BY-SA 4.0
|
| gptkbp:memiliki_tugas |
extractive question answering
|
| gptkbp:notablePublication |
https://arxiv.org/abs/1606.05250
|
| gptkbp:releaseYear |
2016
|
| 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:usedFor |
question answering systems
machine learning evaluation reading comprehension research |
| gptkbp:website |
https://rajpurkar.github.io/SQuAD-explorer/
|
| gptkbp:bfsParent |
gptkb:Stanford_Artificial_Intelligence_Laboratory
|
| gptkbp:bfsLayer |
5
|