Dataset · Hugging Face
rongchenggang/UNICBench
\ UNICBench is the first general, cross-modal, multi-level counting performance benchmark designed for multimodal large models (MLLM). It extends the evaluation scope to three core modalities: image, text, and audio, aiming to rigorously assess models' numerical perception and logical reasoning abilities in complex real-world scenarios.
| Author / organization | rongchenggang |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 214 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 3 March 2026 |
| Last updated at source | 11 March 2026 |
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