Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
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Updated
Oct 17, 2023
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
Repo for Turkish Vitamins and Supplements NER dataset.
This project aims to tackle data scarcity in a specific task by training a single base model with multiple heads, each dedicated to a different NLP task. These "supporting tasks" aim to leverage shared knowledge across domains, enhancing the model's performance and robustness.
Repo for Turkish sentiment analysis dataset, "Vitamins and Supplements Customer Reviews"
In this we finetuned the Gemini model with our own medical NER dataset and used to recognize Name Entities
Code and resources for training and evaluating Named Entity Recognition (NER) models for Chinese medical texts.
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