FBK-MT/MCIF
Dataset Description, Collection, and Source MCIF (Multimodal Crosslingual Instruction Following) is a multilingual human-annotated benchmark based on scientific talks that is designed to evaluate instruction-following in crosslingual, multimodal settings over both short- and long-form inputs. MCIF spans three core modalities -- speech, vision, and text -- and four diverse languages (English, German, Italian, and Chinese), enabling a comprehensive evaluation of MLLMs'… See the full description on the dataset page: https://huggingface.co/datasets/FBK-MT/MCIF.
| Author / organization | FBK-MT |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 71 |
| Created | 15 December 2025 |
| Last updated at source | 13 July 2026 |
Popularity, last 3 days
1,520 now (+33 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from FBK-MT
- FBK-MT/moselDataset
- FBK-MT/Speech-MASSIVEDataset
- FBK-MT/fama-dataDataset
- FBK-MT/MCIF-STDataset
- FBK-MT/Neo-GATEDataset
- FBK-MT/Speech-MASSIVE-testDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.