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Dataset Card for Dataset Name

Dataset Description

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Dataset Summary

This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Supported Tasks and Leaderboards

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Languages

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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

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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

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Citation Information

@inproceedings{10.1145/3592571.3592978,
author = {Mach\'{a}\v{c}ek, Roman and Mozaffari, Leila and Sepasdar, Zahra and Parasa, Sravanthi and Halvorsen, P\r{a}l and Riegler, Michael A. and Thambawita, Vajira},
title = {Mask-conditioned latent diffusion for generating gastrointestinal polyp images},
year = {2023},
isbn = {9798400701863},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3592571.3592978},
doi = {10.1145/3592571.3592978},
booktitle = {Proceedings of the 4th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval},
pages = {1–9},
numpages = {9},
keywords = {polyp segmentation, polyp generative model, generating synthetic data, diffusion model},
location = {Thessaloniki, Greece},
series = {ICDAR '23}
}

Contributions

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