UKPLab/PeerQA
Code and Data for PeerQA: A Scientific Question Answering Dataset from Peer Reviews, NAACL 2025
This project offers a unique dataset of questions and answers derived from scientific peer reviews. It helps researchers and developers create and evaluate AI systems that can automatically find evidence, identify unanswerable questions, and generate answers based on full academic papers. The primary users are researchers in natural language processing and machine learning working on advanced question-answering systems for scientific texts.
Use this if you are building or testing AI models designed to understand and respond to complex scientific questions within academic papers, particularly those found in peer review contexts.
Not ideal if you need a general-purpose question-answering dataset that isn't focused on scientific documents or the specific structure of peer-review questions.
Stars
12
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 02, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/UKPLab/PeerQA"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GrapeCity-AI/gc-qa-rag
A RAG (Retrieval-Augmented Generation) solution Based on Advanced Pre-generated QA Pairs. 基于高级...
Arfazrll/RAG-DocsInsight-Engine
Retrieval Augmented Generation (RAG) engine for intelligent document analysis. integrating LLM,...
faerber-lab/SQuAI
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation (CIKM'25)
Vbj1808/Dokis
Lightweight RAG provenance middleware. Verifies every claim in an LLM response is grounded in a...
robert-mcdermott/rag_webquery
A command line utility that queries websites for answers using a local LLM