GraphQuestions

QA dataset

A characteristic-rich dataset for factoid question answering with explicit specification of question characteristics and logical forms.

A characteristic-rich dataset for factoid question answering described in the paper "On Generating Characteristic-rich Question Sets for QA Evaluation" - EMNLP'16

GitHub

92 stars
4 watching
16 forks
Language: ReScript
last commit: over 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
findalexli/scigraphqaA dataset and benchmarking framework for evaluating the performance of large language models on multi-turn question answering tasks for scientific graphs.38
certainlyio/corona_datasetA collection of data to train chatbots on COVID-19-related questions11
allenai/document-qaTools and codebase for training neural question answering models on multiple paragraphs of text data435
littleyuyu/stackoverflow-question-code-datasetA collection of mined question-code pairs from Stack Overflow used for training and testing AI models166
maluuba/newsqaCompiles and provides structured access to Maluuba's NewsQA dataset for natural language question answering research.253
google-deepmind/narrativeqaA dataset collection providing text documents with corresponding summaries and questions.463
qs-schema/qs-schemaDeveloping a standardized data schema for Quantified Self data to enable interoperability and collaboration among users and researchers.1
guoyang9/unk-vqaA VQA dataset with unanswerable questions designed to test the limits of large models' knowledge and reasoning abilities.3
superscriptjs/qtypesA JavaScript-based question classification system inspired by a research paper, designed to categorize questions into four categories.160
roddyyaga/ppx_rapperA syntax extension for writing SQL queries in OCaml with type inference and syntax checking.138
huggingface/node-question-answeringProvides a simple way to perform question answering using a pre-trained model in Node.js466
hwchase17/notion-qaA Python-based question answering system built on top of Notion's database and OpenAI's API for natural language processing.2,139
chatopera/insuranceqa-corpus-zhAn insurance industry conversation corpus with pre-processed data for natural language processing and question answering tasks.1,019
xwhan/proqaA resource-efficient method for pretraining dense corpus indexes for open-domain QA and IR.43
freedomintelligence/huatuo-26mA large-scale medical question-and-answer dataset with over 26 million high-quality pairs, designed for natural language processing and machine learning applications in the medical field.226