imirandam/BiVLC
Dataset Card for BiVLC Dataset Summary BiVLC is a benchmark for Bidirectional Vision-Language Compositionality evaluation. Each instance consists of two images and two captions. Using each of the images and captions as a base, a model is asked to select the pair that correctly represents the base versus the hard negative distractor with minor compositional changes. Thus, we can measure image-to-text and text-to-image retrieval with hard negative pairs. To obtain… See the full description on the dataset page: https://huggingface.co/datasets/imirandam/BiVLC.
| Author / organization | imirandam |
|---|---|
| License (as declared) | mit |
| Downloads | 845 (as reported by Hugging Face) |
| Likes | 5 |
| Created | 4 June 2024 |
| Last updated at source | 9 October 2024 |
Recent changes
- 16 Oct 2026 Description: Dataset Card for BiVLC Dataset Summary BiVLC is a benchmark for Bidirectional Vision-Language Compositionality evaluation. Each instance consists of two images and two captions. Using each of the images and captions as a base, a model is as → Dataset Card for BiVLC Dataset Summary BiVLC is a benchmark for Bidirectional Vision-Language Compositionality evaluation. Each instance consists of two images and two captions. Using each of the images and captions as a base, a model is as
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