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anonymousauthor01/emnlp-2026-ifr-mair-full

Name: emnlp-2026-ifr-mair-full
Creator: anonymousauthor01
Keywords: task_categories:text-retrieval, language:en, size_categories:1M<n<10M, format:arrow, modality:text, library:datasets, library:mlcroissant, region:us, instruction-following, reranking, retrieval, mair, information-retrieval

EMNLP 2026 Findings: On-Policy Distillation Meets Off-Policy GRPO — Training Compact Instruction-Following Rerankers Full MAIR set used for evaluation — 126 tasks and 9,356 queries (~8.8M candidate documents), spanning heterogeneous instruction-following retrieval domains. Overview This dataset is the complete MAIR (Massive Instructed Retrieval Benchmark) collection used as the out-of-distribution evaluation suite in the paper. It bundles all 126 MAIR tasks in a… See the full description on the dataset page: https://huggingface.co/datasets/anonymousauthor01/emnlp-2026-ifr-mair-full.

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Author / organization	anonymousauthor01
Downloads	178 (as reported by Hugging Face)
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Created	28 August 2026
Last updated at source	28 August 2026

instruction-followingrerankingretrievalmairinformation-retrieval

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