ShahNegar / README.md
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metadata
annotations_creators:
  - machine-generated
language_creators:
  - expert-generated
language:
  - en
license:
  - mit
multilinguality:
  - monolingual
size_categories:
  - 10K<n<100K
source_datasets:
  - original
task_categories:
  - image-to-text
  - image
  - image-captioning
  - text-to-image
task_ids:
  - image-captioning
pretty_name: ShahNegar

ShahNegar (A Plotted version of The Shahnameh)

This dataset is a plotted version of Ferdousi's Shahnameh generated using DALL-E mini (aka craiyon). You can use this dataset using the code below:

from datasets import load_dataset

dataset = load_dataset("sadrasabouri/ShahNegar")

Table of Contents

Dataset Description

Dataset Summary

This dataset contains more than 30K images with their corresponding text from the Shahnameh. For each Shahnameh paragraph, we generated at most 9 images. Images corresponding to the same paragraphs have the same id field.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

  • The translated version of the shahnameh was generally derived from the satoor website.

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @sadrasabouri for adding this dataset.