mixed-modality-search/MixBench2026
MixBench: A Benchmark for Mixed Modality Retrieval MixBench is a benchmark for evaluating retrieval across text, images, and multimodal documents. It is designed to test how well retrieval models handle queries and documents that span different modalities, such as pure text, pure images, and combined image+text inputs. MixBench includes four subsets, each curated from a different data source: MSCOCO Google_WIT VisualNews OVEN Each subset contains: queries.jsonl: each entry… See the full description on the dataset page: https://huggingface.co/datasets/mixed-modality-search/MixBench2026.
| Author / organization | mixed-modality-search |
|---|---|
| License (as declared) | mit |
| Downloads | 313 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 7 June 2025 |
| Last updated at source | 28 January 2026 |
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