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gptkbp:instance_of
|
gptkb:Data
|
|
gptkbp:aims_to
|
improve QA systems
|
|
gptkbp:available_on
|
gptkb:Git_Hub
|
|
gptkbp:collaborated_with
|
research projects
various institutions
academic researchers
|
|
gptkbp:collaborator
|
gptkb:Stanford_University
|
|
gptkbp:contains
|
over 500 articles
100,000 questions
|
|
gptkbp:created_by
|
gptkb:Pranav_Rajpurkar
|
|
gptkbp:data_type
|
question-answer pairs
|
|
gptkbp:dataset_format
|
gptkb:JSON
|
|
gptkbp:designed_for
|
evaluating QA models
|
|
gptkbp:developed_by
|
gptkb:Stanford_NLP_Group
|
|
gptkbp:evaluates
|
F1 score
Exact match
|
|
gptkbp:features
|
contextualized embeddings
|
|
gptkbp:has_applications_in
|
gptkb:AI_technology
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
SQu AD v1.1
|
|
gptkbp:includes
|
unanswerable questions
|
|
gptkbp:influenced_by
|
gptkb:Stanford_Question_Answering_Dataset
|
|
gptkbp:inspired_by
|
human question answering
|
|
gptkbp:involves
|
answer extraction
|
|
gptkbp:is_adopted_by
|
industry practitioners
|
|
gptkbp:is_analyzed_in
|
performance metrics
data analysts
NLP studies
|
|
gptkbp:is_available_in
|
public domain
|
|
gptkbp:is_based_on
|
natural language understanding
|
|
gptkbp:is_cited_in
|
numerous papers
|
|
gptkbp:is_distributed_by
|
online platforms
|
|
gptkbp:is_documented_in
|
research papers
technical reports
human-annotated
|
|
gptkbp:is_evaluated_by
|
various metrics
F1 score and Exact match
|
|
gptkbp:is_explored_in
|
data scientists
thesis works
data mining studies
|
|
gptkbp:is_integrated_with
|
QA systems
|
|
gptkbp:is_maintained_by
|
gptkb:Stanford_NLP_Group
|
|
gptkbp:is_part_of
|
NLP datasets
|
|
gptkbp:is_promoted_by
|
NLP conferences
|
|
gptkbp:is_promoted_through
|
workshops
|
|
gptkbp:is_recognized_as
|
standard benchmark
|
|
gptkbp:is_referenced_in
|
academic literature
machine learning frameworks
NLP textbooks
|
|
gptkbp:is_related_to
|
question answering tasks
|
|
gptkbp:is_supported_by
|
community contributions
grants and funding
open-source community
research funding
|
|
gptkbp:is_tasked_with
|
reading comprehension
|
|
gptkbp:is_tested_for
|
baseline models
various algorithms
various datasets
|
|
gptkbp:is_updated_by
|
new data
|
|
gptkbp:is_used_by
|
gptkb:researchers
|
|
gptkbp:is_utilized_for
|
AI applications
benchmarking purposes
training models
|
|
gptkbp:is_utilized_in
|
educational settings
competitions
machine learning models
|
|
gptkbp:language
|
English
|
|
gptkbp:latest_version
|
1.1
|
|
gptkbp:part_of
|
gptkb:SQu_AD
|
|
gptkbp:provides
|
benchmark for QA systems
|
|
gptkbp:provides_information_on
|
approximately 500,000 sentences
|
|
gptkbp:release_date
|
gptkb:2016
|
|
gptkbp:source
|
Wikipedia articles
|
|
gptkbp:successor
|
gptkb:SQu_AD_v2.0
|
|
gptkbp:supports
|
deep learning models
|
|
gptkbp:used_for
|
machine reading comprehension
|
|
gptkbp:used_in
|
NLP research
|
|
gptkbp:utilizes
|
transformer models
|
|
gptkbp:bfsParent
|
gptkb:SQu_AD_v2.0
|
|
gptkbp:bfsLayer
|
7
|