CausalLM/Retrievatar
Retrievatar Retrievatar is a multimodal dataset designed to enhance the retrieval-augmented generation capabilities of vision-language models, specifically focusing on fictional anime characters and real-world celebrities across various fields. This release represents a subset of 100,000 samples extracted from a significantly larger synthetic image-text corpus. The dataset is being open-sourced to facilitate further research into entity-centric multimodal understanding, with… See the full description on the dataset page: https://huggingface.co/datasets/CausalLM/Retrievatar.
| Author / organization | CausalLM |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 908 (as reported by Hugging Face) |
| Likes | 75 |
| Created | 14 December 2025 |
| Last updated at source | 14 December 2025 |
Recent changes
- 16 Oct 2026 Description: Retrievatar Retrievatar is a multimodal dataset designed to enhance the retrieval-augmented generation capabilities of vision-language models, specifically focusing on fictional anime characters and real-world celebrities across various fie → Retrievatar Retrievatar is a multimodal dataset designed to enhance the retrieval-augmented generation capabilities of vision-language models, specifically focusing on fictional anime characters and real-world celebrities across various fie
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