{
 "id": "gtfintechlab/KG-MuLQA-D",
 "owner": "gtfintechlab",
 "name": "KG-MuLQA-D",
 "downloads": 408,
 "likes": 2,
 "last_modified": "2026-08-02T20:36:33.000Z",
 "stated_licence": "cc-by-nc-nd-4.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "@inproceedings{tatarinov-etal-2026-kg,\n    title = \"{KG}-{M}u{LQA}: A Framework for {KG}-based Multi-Level {QA} Extraction and Long-Context {LLM} Evaluation\",\n    author = \"Tatarinov, Nikita  and\n      Kannan, Vidhyakshaya  and\n      Srinivasa, Haricharana  and\n      Raj, Arnav  and\n      Singh Anand, Harpreet  and\n      Singh, Varun  and\n      Luthra, Aditya  and\n      Lade, Ravij  and\n      Shah, Agam  and\n      Chava, Sudheer\",\n    editor = \"Liakata, Maria  and\n      Moreira, Viviane P.  and\n      Zhang, Jiajun  and\n      Jurgens, David\",\n    booktitle = \"Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)\",\n    month = jul,\n    year = \"2026\",\n    address = \"San Diego, California, United States\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2026.acl-long.151/\",\n    doi = \"10.18653/v1/2026.acl-long.151\",\n    pages = \"3323--3359\",\n    ISBN = \"979-8-89176-390-6\",\n    abstract = \"We introduce KG-MuLQA (Knowledge-Graph-based Multi-Level Question-Answer Extraction): a framework that (1) extracts QA pairs at multiple complexity levels (2) along three key dimensions {--} multi-hop retrieval, set operations, and answer plurality, (3) by leveraging knowledge-graph-based document representations. This approach enables fine-grained assessment of model performance across controlled difficulty levels. Using this framework, we construct a dataset of 20,139 QA pairs based ",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-nd-4.0) is classified as having use restrictions.",
 "revision": "6c719e3c3096d40b37d8d2633812149a39fbfe9f",
 "stated_evidence": "https://huggingface.co/datasets/gtfintechlab/KG-MuLQA-D/blob/6c719e3c3096d40b37d8d2633812149a39fbfe9f/README.md",
 "file_evidence": "https://huggingface.co/datasets/gtfintechlab/KG-MuLQA-D/tree/6c719e3c3096d40b37d8d2633812149a39fbfe9f",
 "card_nc": false
}