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<!-- Provide a quick summary of the dataset. -->
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This the the pretraining data for ABC. This dataset is derived from Google's [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/) dataset.
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The each item in the dataset contain a URL where the corresponding image can be downloaded. Full dataaset is ~300 GB of images.
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## Paper and Website
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## Citation
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```
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@misc{schneider2025abcachievingbettercontrol,
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title={ABC: Achieving Better Control of Multimodal Embeddings using VLMs},
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<!-- Provide a quick summary of the dataset. -->
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This the the pretraining data for ABC. This dataset is derived from Google's [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/) dataset.
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The each item in the dataset contain a URL where the corresponding image can be downloaded and mined negatives for each item. Full dataaset is ~300 GB of images. For a detailed description of how we mined the negatives please check out our ppaer ;).
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**Update** I have added the images to this repository and an example of how to download and use this dataset our [repository](https://github.com/TIGER-AI-Lab/ABC).
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## Paper and Website
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## Citation
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If you find any of our work helpful please connsider citing:
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```
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@misc{schneider2025abcachievingbettercontrol,
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title={ABC: Achieving Better Control of Multimodal Embeddings using VLMs},
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