---
pretty_name: Endangered Recipes Translated 500
license: cc-by-4.0
tags:
- recipes
- food
- image
- text
- multimodal
- translation
- endangered-languages
- indic-languages
size_categories:
- 100<n<1K
citation: |
  @dataset{karya2026endangeredrecipestranslated500,
      title     = {Endangered Recipes Translated 500},
      author    = {{Karya}},
      year      = {2026},
      publisher = {Hugging Face},
      url       = {https://huggingface.co/datasets/karya/endangered-recipes-translated-500}
  }

  @dataset{karya2025elr1000,
      title     = {ELR-1000: A Community-Generated Dataset for Endangered Indic Indigenous Languages},
      author    = {{Karya}},
      year      = {2025},
      publisher = {Hugging Face},
      url       = {https://huggingface.co/datasets/karya/ELR-1000}
  }

  @inproceedings{joshi2025elr1000,
      title     = {ELR-1000: A Community-Generated Dataset for Endangered Indic Indigenous Languages},
      author    = {Joshi, Neha and Gogoi, Pamir and Mirza, Aasim and Jansari, Aayush and Yadavalli, Aditya and Pandey, Ayushi and Shukla, Arunima and Sudharsan, Deepthi and Bali, Kalika and Seshadri, Vivek},
      booktitle = {Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025)},
      address   = {Mumbai, India},
      month     = dec,
      year      = {2025},
      note      = {Preprint: arXiv:2512.01077},
      url       = {https://arxiv.org/abs/2512.01077}
  }
gated: true
configs:
- config_name: default
  data_files:
  - split: train
    path: data/*.parquet
viewer: false
task_categories:
- translation
- image-to-text
- text-generation
---

# Endangered Recipes Translated 500

**Endangered Recipes Translated 500** is the next phase of the
[ELR-1000](https://huggingface.co/datasets/karya/ELR-1000) research effort. It
brings together 500 community-contributed recipes from endangered and
under-represented Indic languages, with 50 recipes per language. Alongside the
original recipe text, this release includes English translations for recipe
names, ingredients, tools, cultural notes, and recipe steps.

The source collection and research context are described in the ELR-1000 paper,
["ELR-1000: A Community-Generated Dataset for Endangered Indic Indigenous Languages"](https://arxiv.org/abs/2512.01077).
This translated release is meant to make the recipes easier to study, compare,
and use in language and vision research, while keeping the original language text
and community context intact.

## Dataset Details

Each recipe entry includes:

- **Original recipe text**: recipe names, ingredients, tools, stories, cooking
  context, and preparation steps in the source language.
- **English translations**: translations for the main recipe fields and matched
  recipe steps where available.
- **Images for cooking steps**: images stored with the recipe steps they belong
  to.
- **Cultural notes**: stories, occasions, memories, storage practices, health
  benefits, dietary restrictions, and ways of eating the dish.
- **Community-led collection**: recipes contributed through the same process as
  ELR-1000, with informed consent and fair compensation.

## Dataset Sources

- **New translated dataset**:
  [karya/endangered-recipes-translated-500](https://huggingface.co/datasets/karya/endangered-recipes-translated-500)
- **Source dataset**:
  [karya/ELR-1000](https://huggingface.co/datasets/karya/ELR-1000)
- **Source paper**:
  [ELR-1000: A Community-Generated Dataset for Endangered Indic Indigenous Languages](https://arxiv.org/abs/2512.01077)

## License And Attribution

This translated dataset release is published under the
[Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
You may share and adapt the dataset, including for commercial use, as long as
you give appropriate credit.

The original ELR-1000 dataset is a separate release with its own license. We cite
ELR-1000 and the ELR-1000 paper here so that users can clearly see where this
translated dataset comes from.

## Dataset Statistics

| Attribute | Value |
| --- | ---: |
| Total recipes | 500 |
| Languages | 10 |
| Recipes per language | 50 |
| Total images | 5,017 |
| Average images per recipe | 10.03 |
| Native recipe-step lines | 3,559 |
| Translated recipe-step lines | 3,559 |
| Top-level translation pairs | 10,998 |
| Modalities | Text and images |

## Languages Included

Assamese, Bodo, Ho, Kaman Mishmi, Khasi, Khortha, Meitei, Mundari, Sadri,
Santhali

## Per-Language Coverage

| Language | Recipes | Images | Avg. Images | Sentence Pairs |
| --- | ---: | ---: | ---: | ---: |
| Assamese | 50 | 618 | 12.36 | 1,172 |
| Bodo | 50 | 813 | 16.26 | 1,260 |
| Ho | 50 | 500 | 10.00 | 1,233 |
| Kaman Mishmi | 50 | 663 | 13.26 | 661 |
| Khasi | 50 | 565 | 11.30 | 1,029 |
| Khortha | 50 | 443 | 8.86 | 1,214 |
| Meitei | 50 | 180 | 3.60 | 737 |
| Mundari | 50 | 315 | 6.30 | 783 |
| Sadri | 50 | 506 | 10.12 | 1,166 |
| Santhali | 50 | 414 | 8.28 | 1,123 |


The dataset contains 420 unique ingredients.

## Quick Start

```python
from datasets import load_dataset
import matplotlib.pyplot as plt
import os
from PIL import Image
import io

# This is a gated dataset. Provide a Hugging Face token with access.
ds = load_dataset(
    "karya/endangered-recipes-translated-500",
    split="train",
    token=os.getenv("HF_TOKEN"),
)

sample = ds[0]

print(sample["language"])
print(sample["recipe_name"], "->", sample["recipe_name_translation"])
print(sample["ingredients"])
print(sample["ingredients_translation"])

for step in sample["recipe_steps"][:3]:
    print(step["step_index"], step["native"], "->", step["translation"])

# Display the first available step image.
for step in sample["recipe_steps"]:
    image = step.get("image")
    if image and image.get("bytes"):
        plt.imshow(Image.open(io.BytesIO(image["bytes"])))
        plt.axis("off")
        plt.show()
        break
```


## Relationship To ELR-1000

This dataset builds on the original ELR-1000 collection. ELR-1000 contains 1,073
recipes with native-language text, images, and audio recordings across the same
10 languages. This release selects 500 of those recipes and adds English
translations so the material can be used more easily in multilingual and
image-text research.

The original ELR-1000 release and this translated release have separate
licenses. This translated release is distributed under CC BY 4.0.

Please cite this dataset, the source ELR-1000 dataset, and the ELR-1000 paper
when using this translated release.

## Data Collection And Translation

The underlying recipes were collected through community participation with
native speakers from indigenous and under-represented language communities in
India. The collection process focused on authentic recipes, informed consent, and
fair compensation. This release adds English translations while preserving the
original recipe text.

## Intended Uses

This dataset may support research on:

- Recipe understanding with text and images.
- Multilingual NLP and translation research.
- Ingredient, tool, and instruction extraction.
- Food and language research rooted in local communities.
- Dataset development for endangered and under-represented Indic languages.

## Limitations

The dataset is a 500-recipe translated subset of ELR-1000 and should not be
treated as complete coverage of any language or food tradition. Some fields have
more translation coverage than others, and a few recipe-step translations depend
on what was available in the source material. Users should also keep in mind
that recipes, spellings, and translations can vary across speakers, families,
and regions.

## Citation

If you use this dataset, please cite the translated dataset:

```bibtex
@dataset{karya2026endangeredrecipestranslated500,
    title     = {Endangered Recipes Translated 500},
    author    = {{Karya}},
    year      = {2026},
    publisher = {Hugging Face},
    url       = {https://huggingface.co/datasets/karya/endangered-recipes-translated-500}
}
```

Please also cite the source ELR-1000 dataset:

```bibtex
@dataset{karya2025elr1000,
    title     = {ELR-1000: A Community-Generated Dataset for Endangered Indic Indigenous Languages},
    author    = {{Karya}},
    year      = {2025},
    publisher = {Hugging Face},
    url       = {https://huggingface.co/datasets/karya/ELR-1000}
}
```

And the original ELR-1000 paper:

```bibtex
@inproceedings{joshi2025elr1000,
    title     = {ELR-1000: A Community-Generated Dataset for Endangered Indic Indigenous Languages},
    author    = {Joshi, Neha and Gogoi, Pamir and Mirza, Aasim and Jansari, Aayush and Yadavalli, Aditya and Pandey, Ayushi and Shukla, Arunima and Sudharsan, Deepthi and Bali, Kalika and Seshadri, Vivek},
    booktitle = {Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2025)},
    address   = {Mumbai, India},
    month     = dec,
    year      = {2025},
    note      = {Preprint: arXiv:2512.01077},
    url       = {https://arxiv.org/abs/2512.01077}
}
```

## Acknowledgments

We gratefully acknowledge the communities and individuals who contributed
recipes, recordings, images, translations, and cultural knowledge. This work is
dedicated to preserving and celebrating the culinary and linguistic heritage of
indigenous communities in India.

## License

This translated dataset release is licensed under the
[Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).
Please cite this dataset and credit Karya when using, sharing, or adapting it.

## Contact

For questions, issues, or contributions, open an issue on the dataset repository
or [contact us directly](https://www.karya.in/contact/).