Datasets:
Modalities:
Text
Formats:
json
Sub-tasks:
language-modeling
Languages:
Estonian
Size:
10K - 100K
License:
| language: et | |
| license: other | |
| tags: | |
| - translation | |
| - legal-text | |
| - estonian | |
| - english | |
| - helsinki-nlp | |
| - transformers | |
| size_categories: n<10K | |
| source_datasets: | |
| - paulpall/legalese-sentences_estonian | |
| task_ids: | |
| - language-modeling | |
| # 📚 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](https://huggingface.co/datasets/paulpall/legalese-sentences_estonian ) dataset. | |
| Translations were generated using the [`Helsinki-NLP/opus-mt-et-en`](https://huggingface.co/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](https://malcolmnance.substack.com/ ) | |
| 2025-05-23 - Florida, USA, Substack Subscriber... | |
| --- | |
| ## 📄 Dataset Description | |
| - **Original Source**: [paulpall/legalese-sentences_estonian](https://huggingface.co/datasets/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 ](https://mindly.social/ @ajsbsd) | |
| 🌐 ajsbsd.net | |