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Co-authored-by: Haotian Liu <Haotian Liu@users.noreply.huggingface.co>
Co-authored-by: liuhaotian <liuhaotian@users.noreply.huggingface.co>

Files changed (5) hide show
  1. .gitattributes +56 -0
  2. README.md +49 -0
  3. chat.json +3 -0
  4. images.zip +3 -0
  5. metadata.json +3 -0
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README.md ADDED
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+ ---
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+ license: other
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+ language:
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+ - en
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+ pretty_name: LLaVA CC3M Pretrain 595K
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+ ---
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+
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+
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+ # LLaVA Visual Instruct CC3M 595K Pretrain Dataset Card
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+
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+ ## Dataset details
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+
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+ **Dataset type:**
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+ LLaVA Visual Instruct CC3M Pretrain 595K is a subset of CC-3M dataset, filtered with a more balanced concept coverage distribution.
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+ Captions are also associated with [BLIP synthetic caption](https://github.com/salesforce/BLIP#pre-training-datasets-download) for reference.
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+ It is constructed for the pretraining stage for feature alignment in visual instruction tuning.
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+ We aim to build large multimodal towards GPT-4 vision/language capability.
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+
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+ **Dataset date:**
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+ LLaVA Visual Instruct CC3M Pretrain 595K was created in April 2023.
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+
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+ **Dataset structure:**
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+ - `chat.json` contains the multimodal synthesized conversation from the image-caption pairs, by adding randomly selected instructions like: "Describe this image". It is used for pretraining in LLaVA. We use the raw CC-3M caption as the default answer.
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+ - `metadata.json` contains the meta data of the image index in CC-3M, image file name, image URL, original CC-3M caption, synthetic BLIP caption. Note that ~10% of the samples are not associated with BLIP caption yet in this release.
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+ - `images.zip` contains all raw images of the filtered subset from CC-3M. **Important notice: Upon the request from the community, as ~15% images of the original CC-3M dataset are no longer accessible, we upload `images.zip` for better reproducing our work in research community. It should not be used for any other purpose. The use of these images must comply with the CC-3M license. This may be taken down when requested by the original CC-3M dataset owner or owners of the referenced images.**
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+
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+ **Paper or resources for more information:**
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+ https://llava-vl.github.io/
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+
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+ **License:**
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+ Must comply with license of [CC-3M](https://github.com/google-research-datasets/conceptual-captions/blob/master/LICENSE), [BLIP](https://github.com/salesforce/BLIP/blob/main/LICENSE.txt) (if you use their synthetic caption).
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+
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+ CC-3M
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+ The dataset may be freely used for any purpose, although acknowledgement of
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+ Google LLC ("Google") as the data source would be appreciated. The dataset is
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+ provided "AS IS" without any warranty, express or implied. Google disclaims all
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+ liability for any damages, direct or indirect, resulting from the use of the
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+ dataset.
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+
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+
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+ **Where to send questions or comments about the model:**
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+ https://github.com/haotian-liu/LLaVA/issues
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+
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+ ## Intended use
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+ **Primary intended uses:**
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+ The primary use of LLaVA is research on large multimodal models and chatbots.
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+
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+ **Primary intended users:**
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+ The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
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