allenai/pixmo-cap

PixMo-Cap PixMo-Cap is a dataset of very long (roughly 200 words on average), detailed captions. It can be used to pre-train and fine-tune vision-language models. PixMo-Cap was created by recording annotators speaking about an image for 60-90 seconds and then using the Claude large language model to turn the audio transcripts(s) into a long caption. The audio transcripts are also included. PixMo-Cap is part of the PixMo dataset collection and was used to train the Molmo family… See the full description on the dataset page: https://huggingface.co/datasets/allenai/pixmo-cap.

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