Dataset · Hugging Face

AIMS-RAIL/RAIL

Name: RAIL
Creator: AIMS-RAIL
License: cc-by-4.0
Keywords: task_categories:audio-classification, task_categories:question-answering, language:en, license:cc-by-4.0, size_categories:10K<n<100K, format:json, modality:audio, modality:tabular, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, arxiv:2606.11260, region:us

RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark NeurIPS 2026 Hongyu Jin1,*, Siyi Wang1,*, Yang Xiao1,*, Jiaheng Dong1,*, Shihong Tan4, Kaiyuan Peng1, Georgiana Juravle2, Shanquan Chen3, Gongping Huang4, Hong Jia5, Eun-Jung Holden1, James Bailey6, Ting Dang1,† 1The University of Melbourne, 2Alexandru Ioan Cuza University of Iași, 3The University of Hong Kong, 4Wuhan University, 5The University of Auckland, 6Monash University… See the full description on the dataset page: https://huggingface.co/datasets/AIMS-RAIL/RAIL.

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Author / organization	AIMS-RAIL
License (as declared)	cc-by-4.0
Downloads	509 (as reported by Hugging Face)
Likes	7
Created	25 September 2026
Last updated at source	30 September 2026

audiobenchmarkaudio-language-modelscognitive-evaluationCHC

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