Dataset · Hugging Face

Akrin-scitix/EntLORE

Name: EntLORE
Creator: Akrin-scitix
License: cc-by-nc-sa-4.0
Keywords: task_categories:question-answering, language:en, license:cc-by-nc-sa-4.0, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2608.10679, region:us, enterprise, rag, graph-rag

🏛️ EntLORE A Graph-Grounded Benchmark for Latent Organizational Reasoning in Enterprise Question Answering 🤗 Paper page  ·  📄 arXiv:2608.10679  ·  💻 Code & baselines TL;DR — Enterprise answers often depend on organizational relations that no single document states. EntLORE reconstructs an audited enterprise truth graph, releases an anonymized document world whose gold answers and proofs are computed from that graph, and withholds the target derived… See the full description on the dataset page: https://huggingface.co/datasets/Akrin-scitix/EntLORE.

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Author / organization	Akrin-scitix
License (as declared)	cc-by-nc-sa-4.0
Downloads	136 (as reported by Hugging Face)
Likes	0
Created	12 August 2026
Last updated at source	18 August 2026

enterpriseraggraph-ragretrievalbenchmarklatent-reasoning

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ENTLORE: A Graph-Grounded Benchmark for Latent Organizational Reasoning in Enterprise Question AnsweringPaper

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