13 open-source projects similar to graphrag-bench/graphrag-benchmark, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best GraphRAG Benchmark alternative.
Mintaka is a complex, natural, and multilingual question answering (QA) dataset composed of 20,000 question-answer pairs elicited from MTurk workers and annotated with Wikidata question and answer entities. Full details on the Mintaka dataset can be found in our paper:…
This code aims to convert a valid SPARQL query into a (or many) natural language questions. The incentive is to create a good dataset for QA system training, and achieve a scale which helps Neural Network based QA Systems too. We do this mostly by converting the query into a pseudo natural…
VAKRA (eValuating API and Knowledge Retrieval Agents using multi-hop, multi-source dialogues) is a tool-grounded, executable benchmark designed to evaluate how well AI agents reason end-to-end in enterprise-like settings.
This is the GitHub repo for the paper submission.
If you find our work helpful, please kindly cite our paper.
Create the SETTINGS.json file in the root of the project containing settings from the SETTINGS.json.example. One have to specify location of all datasets and other local configuration information.
We introduce a new dataset, FactKG: Fact Verification via Reasoning on Knowledge Graphs. It consists of 108k natural language claims with five types of reasoning: One-hop, Conjunction, Existence, Multi-hop, and Negation. Furthermore, FactKG contains various linguistic patterns, including…
Empowering RAG with a memory-based data interface for all-purpose applications!
A Dataset for Evaluating Retrieval-Augmented Generation Across Documents