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[PaliGemma 2] Added training dataset to bulleted list #2797

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Apr 8, 2025
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[PaliGemma 2] Added training dataset to bulleted list #2797

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3 changes: 2 additions & 1 deletion paligemma2.md
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Expand Up @@ -76,7 +76,8 @@ The pt models are pre-trained on the following data mixture. The diversity of th

- **Visual Question Generation with Question Answering Validation (VQ2A):** An improved dataset for question answering. The dataset is translated into the same additional 34 languages, using the Google Cloud Translation API.

OpenImages: Detection and object-aware questions and answers (Piergiovanni et al. 2022) generated by handcrafted rules on the [OpenImages dataset](https://storage.googleapis.com/openimages/web/factsfigures_v7.html).
- **OpenImages:** Detection and object-aware questions and answers (Piergiovanni et al. 2022) generated by handcrafted rules on the [OpenImages dataset](https://storage.googleapis.com/openimages/web/factsfigures_v7.html).

- **WIT**: Images and texts collected from Wikipedia (Srinivasan et al., 2021).

The PaliGemma 2 team internally fine-tuned the PT models on a wide variety of visual-language understanding tasks, and they provide benchmarks of these fine-tuned models [in the model card](https://huggingface.co/google/paligemma2-28b-pt-896#paligemma-2-results-by-model-resolution-and-size) and [the technical report](https://huggingface.co/papers/2412.03555).
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