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TIGER-Lab
/

ABC-Pretraining-Data

Tasks:

Visual Question Answering

Image-Text-to-Text

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BenSchneider commited on Mar 24

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@@ -40,7 +40,7 @@ tags:
 <!-- Provide a quick summary of the dataset. -->
 This the the pretraining data for ABC. This dataset is derived from Google's [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/) dataset.
 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 ;).
-**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).
 ## Paper and Website

 <!-- Provide a quick summary of the dataset. -->
 This the the pretraining data for ABC. This dataset is derived from Google's [Conceptual Captions](https://ai.google.com/research/ConceptualCaptions/) dataset.
 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 ;).
+**Update** I have added the images to this repository, for an example of how to use and download this dataset see our [repository](https://github.com/TIGER-AI-Lab/ABC).
 ## Paper and Website