FSL ECG QA Dataset is a benchmark dataset used in paper ["Electrocardiogram–Language Model for Few-Shot Question Answering with Meta Learning"] (
https://arxiv.org/abs/2410.14464). It supports research in combining electrocardiogram (ECG) signals with natural language question answering (QA), particularly in few-shot and meta-learning scenarios.
🧠 Task Diversification: Restructured ECG-QA tasks promote rapid few-shot adaptation.… See the full description on the dataset page:
https://huggingface.co/datasets/jialucode/FSL_ECG_QA_Dataset.
