ritaranx/clinical-synthetic-text-llm
Data Description We release the synthetic data generated using the method described in the paper Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models (ACL 2024 Findings). The external knowledge we use is based on LLM-generated topics and writing styles. Generated Datasets The original train/validation/test data, and the generated synthetic training data are listed as follows. For each dataset, we generate… See the full description on the dataset page: https://huggingface.co/datasets/ritaranx/clinical-synthetic-text-llm.
| Author / organization | ritaranx |
|---|---|
| License (as declared) | mit |
| Downloads | 1.1K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 23 June 2024 |
| Last updated at source | 2 July 2024 |
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- 17 Oct 2026 Description: Data Description We release the synthetic data generated using the method described in the paper Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models (ACL 2024 Findings). The external → Data Description We release the synthetic data generated using the method described in the paper Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models (ACL 2024 Findings). The external
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.