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guyue-wa/instructpix2pix-clip-filtered

Dataset Card for InstructPix2Pix CLIP-filtered Dataset Summary The dataset can be used to train models to follow edit instructions. Edit instructions are available in the edit_prompt. original_image can be used with the edit_prompt and edited_image denotes the image after applying the edit_prompt on the original_image. Refer to the GitHub repository to know more about how this dataset can be used to train a model that can follow instructions.… See the full description on the dataset page: https://huggingface.co/datasets/guyue-wa/instructpix2pix-clip-filtered.

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Dataset Card

Dataset Card for InstructPix2Pix CLIP-filtered

Table of Contents

Dataset Description

  • Homepage: https://www.timothybrooks.com/instruct-pix2pix
  • Repository: https://github.com/timothybrooks/instruct-pix2pix
  • Paper: https://arxiv.org/abs/2211.09800

Dataset Summary

The dataset can be used to train models to follow edit instructions. Edit instructions are available in the edit_prompt. original_image can be used with the edit_prompt and edited_image denotes the image after applying the edit_prompt on the original_image.

Refer to the GitHub repository to know more about how this dataset can be used to train a model that can follow instructions.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The text descriptions are in English.

Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

The license for this dataset is a custom license. Refer to the licensing file to know more.

Citation Information

[More Information Needed]

Contributions

Thanks to @sayakpaul for contributing this dataset.