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ajsbsd/legalese-sentences_estonian-english

📚 Estonian → English Legal Sentence Translation Dataset @ajsbsd | Non-commercial Use Only This dataset contains Estonian legal sentences translated into English, derived from the original paulpall/legalese-sentences_estonian dataset. Translations were generated using the Helsinki-NLP/opus-mt-et-en model. 🛥️ Dedication This dataset is dedicated to the pursuit of truth, transparency, and informed discourse in a world shaped by complex global… See the full description on the dataset page: https://huggingface.co/datasets/ajsbsd/legalese-sentences_estonian-english.

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📚 Estonian → English Legal Sentence Translation Dataset

@ajsbsd | Non-commercial Use Only

This dataset contains Estonian legal sentences translated into English, derived from the original paulpall/legalese-sentences_estonian dataset.

Translations were generated using the `Helsinki-NLP/opus-mt-et-en` model.


🛥️ Dedication


This dataset is dedicated to the pursuit of truth, transparency, and informed discourse in a world shaped by complex global threats. Inspired by the work of Malcolm Nance and his commitment to delivering timely, actionable intelligence and geopolitical insight, this collection stands as a resource for those who seek clarity in uncertainty and vigilance in the face of evolving dangers.

Malcolm Nance

2025-05-23 - Florida, USA, Substack Subscriber...


📄 Dataset Description

  • —Original Source: paulpall/legalese-sentences_estonian
  • —Translation Model: Helsinki-NLP/opus-mt-et-en
  • —Language Pair: Estonian → English
  • —Domain: Legal (Trademark and procedural law)
  • —Format: JSON list of input-output sentence pairs
  • —License: Free for non-commercial use only

https://mindly.social/@ajsbsd

📦 Example Entry

json
{
  "input": "Kehtestada kauba- ja teenindusmärgi registreerimise taotluse dokumentide vorminõuded...",
  "output": "Establish formal requirements and procedures for the submission of documents..."
}

📝 Intended Uses

Legal NLP research Machine translation benchmarking Multilingual legal corpus building Training domain-specific MT models


⚠️ Limitations & Biases

Machine-generated translations : Not reviewed by humans. Legal nuance : May not reflect precise legal terminology in all cases. Limited scope : Focused on trademark registration procedures.


🔐 License

Free for non-commercial use.

You may use the dataset for research, educational, or personal purposes. You may NOT use this dataset in any commercial application without explicit permission from the rights holder.

Please also respect the license of the original dataset.


📁 Citation

If you use this dataset, please cite the original source:

bibtex
@misc{paulpall_legalese_sentences_estonian,
  author = {Paul Pall},
  title  = {Legalese Sentences in Estonian},
  year   = {2023},
  url    = {https://huggingface.co/datasets/paulpall/legalese-sentences_estonian }
}

Also include a note if you used the Helsinki-NLP model:

bibtex
@inproceedings{www2019mt,
  title = {{OPUS-MT} — Training Many-to-Many Bitext Neural Machine Translation Models}},
  author = {Jörg Tiedemann and Santhosh Thottingal},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  year = {2020}
}

🛠️ How to Use This Dataset

python
from datasets import load_dataset

dataset = load_dataset("ajsbsd/legalese-sentences_estonian-english")

for entry in dataset["train"][:5]:
    print("ESTONIAN:", entry["input"])
    print("ENGLISH: ", entry["output"])
    print()

📢 Acknowledgments

Thanks to the creators of the original dataset and the Helsinki-NLP team for their excellent multilingual translation models.


📬 Contact

For questions or improvements, feel free to reach out via GitHub or Mastodon: 🧠 https://mindly.social/@ajsbsd 🌐 ajsbsd.net