Datasets:

AhmedSSabir
/

Textual-Image-Caption-Dataset

Tasks:

Image Classification

Visual Question Answering

Modalities:

Languages:

ArXiv:

Tags:

image captioning

language grounding

visual semantic

semantic similarity

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AhmedSSabir commited on Jun 24, 2022

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b592800

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 1. [Downlod Data with cosine score](https://www.dropbox.com/s/u1n2r2ign8v7gvh/visual_caption_cosine_score.zip?dl=0)-> soft cosine lable with **th** 0.2, 0.3, 0.4 and 0.5
 2. [Dowload Overlaping visual with caption](https://www.dropbox.com/s/br8nhnlf4k2czo8/COCO_overlaping_dataset.txt?dl=0)-> Overlap visual context and the human annotated caption
 3. [Download Dataset (tsv file)](https://www.dropbox.com/s/dh38xibtjpohbeg/train_all.zip?dl=0) 0.0-> raw data with hard lable without cosine similairty and with **th**reshold  cosine sim degree of the relation beteween the visual and caption = 0.2, 0.3, 0.4
-4. [Download Dataset GenderBias](https://www.dropbox.com/s/dh38xibtjpohbeg/train_all.zip?dl=0)-> man/woman replaced with person class label

 1. [Downlod Data with cosine score](https://www.dropbox.com/s/u1n2r2ign8v7gvh/visual_caption_cosine_score.zip?dl=0)-> soft cosine lable with **th** 0.2, 0.3, 0.4 and 0.5
 2. [Dowload Overlaping visual with caption](https://www.dropbox.com/s/br8nhnlf4k2czo8/COCO_overlaping_dataset.txt?dl=0)-> Overlap visual context and the human annotated caption
 3. [Download Dataset (tsv file)](https://www.dropbox.com/s/dh38xibtjpohbeg/train_all.zip?dl=0) 0.0-> raw data with hard lable without cosine similairty and with **th**reshold  cosine sim degree of the relation beteween the visual and caption = 0.2, 0.3, 0.4
+4. [Download Dataset GenderBias](https://www.dropbox.com/s/1wki0b0d21078mj/gender%20natural.zip?dl=0)-> man/woman replaced with person class label