Inst-IT/Inst-It-Bench
Inst-It Bench Homepage | Code | Paper | arXiv Inst-It Bench is a fine-grained multimodal benchmark for evaluating LMMs at the instance-Level, which is introduced in the paper Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning. Size: 1,000 image QAs and 1,000 video QAs Splits: Image split and Video split Evaluation Formats: Open-Ended and Multiple-Choice Introduction Existing multimodal benchmarks primarily focus on… See the full description on the dataset page: https://huggingface.co/datasets/Inst-IT/Inst-It-Bench.
| Author / organization | Inst-IT |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 238 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 31 December 2024 |
| Last updated at source | 3 March 2025 |
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238 now (-5 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 16 Oct 2026 Description: Inst-It Bench Homepage | Code | Paper | arXiv Inst-It Bench is a fine-grained multimodal benchmark for evaluating LMMs at the instance-Level, which is introduced in the paper Inst-IT: Boosting Multimodal Instance Understanding via Explicit → Inst-It Bench Homepage | Code | Paper | arXiv Inst-It Bench is a fine-grained multimodal benchmark for evaluating LMMs at the instance-Level, which is introduced in the paper Inst-IT: Boosting Multimodal Instance Understanding via Explicit
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- Inst-IT/Inst-It-DatasetDataset
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