Statements (125)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Data
|
| gptkbp:available_at |
https://rajpurkar.github.io/ SQu AD-explorer/
|
| gptkbp:collaborated_with |
industry partners
international researchers various universities |
| gptkbp:contains |
questions
Wikipedia articles passages question-answer pairs |
| gptkbp:created_by |
gptkb:Pranav_Rajpurkar
gptkb:Princeton_University gptkb:Jascha_Sohl-Dickstein gptkb:Andrew_Y._Ng Kurt Shuster |
| gptkbp:developed_by |
gptkb:Tensor_Flow
gptkb:Stanford_University gptkb:Python gptkb:Py_Torch data scientists AI researchers machine learning practitioners |
| gptkbp:evaluates |
F1 score
Exact match |
| gptkbp:has_dataset_size |
100,000+ questions
|
| gptkbp:has_impact_on |
gptkb:educational_resources
question answering systems AI benchmarks NLP competitions |
| gptkbp:has_version |
gptkb:SQu_AD_2.0
SQu AD 1.1 |
| https://www.w3.org/2000/01/rdf-schema#label |
SQu AD
|
| gptkbp:influenced |
gptkb:BERT
gptkb:T5 gptkb:Ro_BERTa gptkb:XLNet ALBERT subsequent datasets |
| gptkbp:is_adopted_by |
gptkb:educational_institutions
startups tech companies |
| gptkbp:is_analyzed_in |
data analysts
statistical analysis data science studies |
| gptkbp:is_available_on |
gptkb:Git_Hub
|
| gptkbp:is_based_on |
gptkb:Wikipedia
Wikipedia articles |
| gptkbp:is_cited_in |
numerous research papers
theses and dissertations AI researchers machine learning conferences numerous papers AI journals AI practitioners NLP conferences NLP workshops |
| gptkbp:is_documented_in |
human annotators
|
| gptkbp:is_evaluated_by |
performance metrics
F1 score machine learning competitions Exact Match cross-validation techniques human benchmarks |
| gptkbp:is_influenced_by |
previous datasets
|
| gptkbp:is_integrated_with |
AI tools
AI applications AI frameworks |
| gptkbp:is_part_of |
gptkb:AI_technology
AI competitions AI ethics discussions NLP benchmarks AI development lifecycle NLP research |
| gptkbp:is_popular_in |
academic community
|
| gptkbp:is_referenced_in |
gptkb:academic_journals
online courses AI textbooks |
| gptkbp:is_related_to |
gptkb:Artificial_Intelligence
gptkb:GPT-3 gptkb:BERT deep learning natural language processing information retrieval text mining crowdsourcing deep learning techniques data annotation transformer models semantic understanding question answering research |
| gptkbp:is_supported_by |
community contributions
open-source community research grants NLP libraries |
| gptkbp:is_tasked_with |
question answering
reading comprehension |
| gptkbp:is_used_by |
gptkb:engineers
gptkb:students gptkb:developers gptkb:researchers |
| gptkbp:is_used_for |
data augmentation
information retrieval chatbot development reading comprehension tasks AI training |
| gptkbp:is_used_in |
gptkb:educational_resources
gptkb:Software_Development training AI models |
| gptkbp:is_utilized_by |
research institutions
|
| gptkbp:is_utilized_in |
data science projects
research methodologies virtual assistants language models |
| gptkbp:language |
English
|
| gptkbp:latest_version |
gptkb:2.0
1.0 |
| gptkbp:performance |
machine learning models
question answering systems NLP models |
| gptkbp:provides_information_on |
100,000+ questions
|
| gptkbp:release_date |
gptkb:2016
|
| gptkbp:type |
question answering
|
| gptkbp:used_for |
machine reading comprehension
|
| gptkbp:used_in |
natural language processing
|
| gptkbp:bfsParent |
gptkb:Transformers
|
| gptkbp:bfsLayer |
4
|