CoolFace
Datasetpublic

podiche/covid19-vaccine-ae-detection-synthetic

COVID-19 Vaccine Adverse Event Detection (Synthetic) This dataset contains synthetic examples generated to train and evaluate large language models (LLMs) to detect whether a passage of text describes an adverse event (AE) following COVID-19 vaccination. Dataset Structure The dataset is split into: train.jsonl: 500 examples for training test.jsonl: 100 examples for testing Each entry follows the Alpaca-style instruction format with the following fields:… See the full description on the dataset page: https://huggingface.co/datasets/podiche/covid19-vaccine-ae-detection-synthetic.

sourceHugging Faceupdated 1y agoView on Hugging Face
0likes7downloads
discussions and pull requests

Conversations for this repository live on Hugging Face.

CoolFace shows imported repositories read-only. Posting into someone else’s repository from here would need an authorised integration and the account holder’s consent, so the link goes to the source instead.

Open discussions on Hugging Face
podiche/covid19-vaccine-ae-detection-synthetic · CoolFace