Dataset · Hugging Face

microsoft/RHELM

Name: RHELM
Creator: microsoft
License: cc-by-4.0
Keywords: task_categories:question-answering, language:en, license:cc-by-4.0, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2605.31086, region:us, long-horizon-memory, conversational-memory, retrieval-augmented-generation

RHELM: Beyond Static Dialogues Benchmarking Realistic, Heterogeneous, and Evolving Long-Horizon Memory RHELM is a benchmark for evaluating long-horizon memory capabilities in AI assistants. Unlike benchmarks built around static dialogues, RHELM provides realistic, heterogeneous, and temporally evolving memory sources, together with challenging questions that require multi-hop reasoning, temporal synthesis, and hallucination detection. ⚠️ All characters, events, and personal… See the full description on the dataset page: https://huggingface.co/datasets/microsoft/RHELM.

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Author / organization	microsoft
License (as declared)	cc-by-4.0
Downloads	1.2K (as reported by Hugging Face)
Likes	16
Created	1 June 2026
Last updated at source	30 August 2026

long-horizon-memoryconversational-memoryretrieval-augmented-generationbenchmarkhallucination-detection

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