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Datasets:
huggingnft
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alpacadabraz

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End of preview. Expand in Dataset Viewer.

Dataset Card

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Dataset Summary

NFT images dataset for unconditional generation.

NFT collection available here.

Model is available here.

Check Space: link.

Supported Tasks and Leaderboards

More Information Needed

How to use

How to load this dataset directly with the datasets library:

from datasets import load_dataset

dataset = load_dataset("huggingnft/alpacadabraz")

Dataset Structure

More Information Needed

Data Fields

The data fields are the same among all splits.

  • image: an image feature.
  • id: an int feature.
  • token_metadata: a str feature.
  • image_original_url: a str feature.

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{huggingnft,
    author={Aleksey Korshuk}
    year=2022
}

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Built by Aleksey Korshuk

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Homepage:
github.com
Repository:
github.com
Size of downloaded dataset files:
288 MB
Size of the auto-converted Parquet files:
288 MB
Number of rows:
9,669

Models trained or fine-tuned on huggingnft/alpacadabraz