THUIAR/MMLA-Datasets
Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark 1. Introduction MMLA is the first comprehensive multimodal language analysis benchmark for evaluating foundation models. It has the following features: Large Scale: 61K+ multimodal samples. Various Sources: 9 datasets. Three Modalities: text, video, and audio Both Acting and Real-world Scenarios: films, TV series, YouTube, Vimeo, Bilibili, TED, improvised scripts, etc.… See the full description on the dataset page: https://huggingface.co/datasets/THUIAR/MMLA-Datasets.
| Author / organization | THUIAR |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 28 April 2025 |
| Last updated at source | 13 August 2025 |
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- 16 Oct 2026 Description: Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark 1. Introduction MMLA is the first comprehensive multimodal language analysis benchmark for evaluating foundation models. It has the following featu → Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark 1. Introduction MMLA is the first comprehensive multimodal language analysis benchmark for evaluating foundation models. It has the following featu
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