MihaiPopa-1/OmniSurgical-1.0

---
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task_categories:
- text-generation
- translation
datasets:
- HuggingFaceFW/finetranslations
license: apache-2.0
size_categories:
- 10K<n<100K
---

# OmniSurgical 1.0
OmniSurgical is a dataset which you can train your very own massively multilingual machine translation models by fine-tuning existing LLMs!

# Formats
We give the dataset in 2 formats: JSONL and JSONZ (zipped JSONL)

And the names speak for themselves: `OmniSurgical_120_Clean.jsonz` is the processed file and `train.jsonz` is the shuffled version of the same file, used to fine-tune existing LLMs (I fine-tuned Qwen 3 0.6B for this!)

# Data Used
I used only 120 sentences per each language of [HF's FineTranslations](https://huggingface.co/datasets/HuggingFaceFW/finetranslations) dataset, that means 60 sentences per language pair!

The original dataset was translated back into English using [Gemma 3 27B](https://huggingface.co/google/gemma-3-27b-it)