askoepke/wit_1m_recaptioned
Back into Plato’s Cave: Examining Cross-modal Representational Convergence at Scale Image–text dataset derived from Wikipedia-based Image Text (WIT) with original and Gemini-generated captions, introduced in Back into Plato’s Cave: Examining Cross-modal Representational Convergence at Scale. Configs wit_1024 A fixed set of 1,024 query samples used for alignment evaluation. from datasets import load_dataset ds =… See the full description on the dataset page: https://huggingface.co/datasets/askoepke/wit_1m_recaptioned.
| Author / organization | askoepke |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 180 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 April 2026 |
| Last updated at source | 29 April 2026 |
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- 16 Oct 2026 Description: Back into Plato’s Cave: Examining Cross-modal Representational Convergence at Scale Image–text dataset derived from Wikipedia-based Image Text (WIT) with original and Gemini-generated captions, introduced in Back into Plato’s Cave: Examinin → Back into Plato’s Cave: Examining Cross-modal Representational Convergence at Scale Image–text dataset derived from Wikipedia-based Image Text (WIT) with original and Gemini-generated captions, introduced in Back into Plato’s Cave: Examinin
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