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Back to asknowqa/lc-quad

Projects sharing features with LC QuAD

11 open-source projects similar to asknowqa/lc-quad, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • amazon-science/mintakaamazon-science avatar

    amazon-science/mintaka

    119View on GitHub↗

    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:…

    Python
    View on GitHub↗119
  • dki-lab/grailqadki-lab avatar

    dki-lab/GrailQA

    111View on GitHub↗

    This repository is structured as follows:

    Python
    View on GitHub↗111
  • graphrag-bench/graphrag-benchmarkGraphRAG-Bench avatar

    GraphRAG-Bench/GraphRAG-Benchmark

    448View on GitHub↗

    🧩Task Examples

    Python
    View on GitHub↗448
  • irenezihuili/cgpromptIreneZihuiLi avatar

    IreneZihuiLi/CGPrompt

    42View on GitHub↗

    This is the GitHub repo for the paper submission.

    Jupyter Notebook
    View on GitHub↗42
  • jaylzhou/graphragJayLZhou avatar

    JayLZhou/GraphRAG

    1,532View on GitHub↗

    If you find our work helpful, please kindly cite our paper.

    Python
    View on GitHub↗1,532
  • jerryzhao-z/simple-question-answering-with-memory-networksJerryzhao-z avatar

    Jerryzhao-z/simple-question-answering-with-memory-networks

    12View on GitHub↗

    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.

    Python
    View on GitHub↗12

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  • jiho283/factkgjiho283 avatar

    jiho283/FactKG

    66View on GitHub↗

    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…

    Python
    View on GitHub↗66
  • liu-rj/polygLiu-rj avatar

    Liu-rj/PolyG

    13View on GitHub↗

    PolyG: Adaptive Graph Traversal for Diverse GraphRAG Questions

    Python
    View on GitHub↗13
  • qhjqhj00/memoragqhjqhj00 avatar

    qhjqhj00/MemoRAG

    2,249View on GitHub↗

    Empowering RAG with a memory-based data interface for all-purpose applications!

    Python
    View on GitHub↗2,249
  • yixuantt/multihop-ragyixuantt avatar

    yixuantt/MultiHop-RAG

    449View on GitHub↗

    A Dataset for Evaluating Retrieval-Augmented Generation Across Documents

    Python
    View on GitHub↗449
  • yuyuz/metaqayuyuz avatar

    yuyuz/MetaQA

    103View on GitHub↗

    Download

    View on GitHub↗103