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Banana-Merged: Multi-page VQA with Hard Negatives

Banana-Merged: Multi-page VQA with Hard Negatives

Banana-Merged A synthetic multi-page visual question answering dataset with hard negatives, designed for fine-tuning visual document retrievers like ColFlor and ColPali. Dataset Summary Banana-Merged contains 1,100 training samples and 10,054 images (positive pages + hard negative variants). Each sample pairs a multi-page analytical query with a set of document images that collectively contain the answer, plus one or more hard negative documents that look visually and… See the full description on the dataset page:

Source: Hugging Face Hub (vkehfdl1/banana-merged). Metadata imported from the dataset’s Hub tags.

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