QCRI/M2CQA-S
M2CQA-S: Speech-Augmented Multilingual Contrastive Visual Grounding M2CQA-S is a culturally grounded benchmark for studying whether multimodal models make consistent decisions when equivalent statements are presented as text or speech, in English or Modern Standard Arabic (MSA). Each image is paired with three statements: one visually supported statement and two plausible but unsupported alternatives. Spoken versions include male and female voice variants. The benchmark… See the full description on the dataset page: https://huggingface.co/datasets/QCRI/M2CQA-S.
| Author / organization | QCRI |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 447 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 October 2026 |
| Last updated at source | 11 October 2026 |
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