nutrientdocs/doc-openvocab-benchmark

Open-Vocab Document & Figure Classification Benchmark Given a document or figure image and an arbitrary set of text labels, which one is right? This is a zero-shot, open-vocabulary image-classification benchmark for the document-AI setting: every image is scored against a broad ~48-label candidate vocabulary (document types + figure/zone types), and the task is to pick the correct label. The labels are supplied at inference — which is precisely what a fixed-label supervised… See the full description on the dataset page: https://huggingface.co/datasets/nutrientdocs/doc-openvocab-benchmark.

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