christianbitter/QA_and_QG
An inventory of data sets around Question Generation and Question Answering
This inventory helps researchers and practitioners quickly find datasets for training and evaluating systems that generate questions or answer them. It provides an organized list of publicly available datasets, specifying whether they are for Question Answering (QA) or Question Generation (QG), and includes links to the original sources. This resource is ideal for academic researchers, data scientists, and anyone building conversational AI or information retrieval systems.
No commits in the last 6 months.
Use this if you need to find appropriate datasets to develop or test models that automatically generate questions from text or extract answers to questions from text.
Not ideal if you are looking for pre-trained models or tools, or if your primary interest is in general natural language processing tasks beyond question-related functionalities.
Stars
21
Forks
4
Language
—
License
—
Category
Last pushed
Apr 02, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/christianbitter/QA_and_QG"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
PaddlePaddle/RocketQA
🚀 RocketQA, dense retrieval for information retrieval and question answering, including both...
shuaihuaiyi/QA
使用深度å¦ä¹ 算法实现的ä¸æ–‡é—®ç”系统
allenai/deep_qa
A deep NLP library, based on Keras / tf, focused on question answering (but useful for other NLP too)
worldbank/iQual
iQual is a package that leverages natural language processing to scale up interpretative...
seriousran/awesome-qa
😎 A curated list of the Question Answering (QA)