A high-quality bilingual dataset containing sentence-aligned English-Gujarati text pairs for the Medical domain. Supports translation, NLP, and LLM training.
Category
Parallel Corpora
Volume
50K+ Sentence Pairs
Last Updated
July 2025
Number of participants
200+ People
The English-Gujarati Medical Parallel Corpus is a professionally curated bilingual dataset designed to support the development of language models, translation systems, and NLP applications in the healthcare and medical sectors. With over 50,000 sentence pairs covering a wide range of medical topics, this dataset serves as a powerful resource for improving multilingual AI systems in one of the most critical domains like healthcare.
The dataset reflects real-world terminology from across the medical field, including:
This corpus features data drawn from various healthcare settings and content types such as:
In addition to core medical language, the dataset also includes related content from:
Each sentence pair has been manually reviewed to ensure high semantic fidelity and natural fluency in both languages.
To meet the evolving needs of AI builders and medical researchers, the dataset is continuously expanded and updated.
This dataset is developed and maintained by FutureBeeAI and is available for commercial use. Custom licensing packages can be arranged for enterprise, research, or regulatory applications.
MT Engine
Language model
Predictive keyboards
Spell check
Grammar correction
Text/speech systems
Dataset Sample(s)
SAMPLE
ATTRIBUTES
Dataset Type
Text Corpus
Volume
50K+ Sentences
Media type
Text
Language Pair
English-Gujarati
Type
Bilingual
Word Count
7 to 25 Words per Asset
Format
XLSX, TMX, XML, XLIFF, XLS
Annotation
NA
Download Sample Dataset
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