embedding-benchmark/ChatDoctor_HealthCareMagic
The ChatDoctor-HealthCareMagic-100k dataset comprises 112,000 real-world medical question-and-answer pairs, providing a substantial and diverse collection of authentic medical dialogues. There is a slight risk to this dataset since there are grammatical inconsistencies in many of the questions and answers, but this can potentially help separate strong healthcare retrieval models from weak ones. Usage import datasets # Download the dataset queries =… See the full description on the dataset page: https://huggingface.co/datasets/embedding-benchmark/ChatDoctor_HealthCareMagic.
The ChatDoctor-HealthCareMagic-100k dataset comprises 112,000 real-world medical question-and-answer pairs, providing a substantial and diverse collection of authentic medical dialogues. There is a slight risk to this dataset since there are grammatical inconsistencies in many of the questions and answers, but this can potentially help separate strong healthcare retrieval models from weak ones.
Usage
import datasets
# Download the dataset
queries = datasets.load_dataset("embedding-benchmark/ChatDoctor_HealthCareMagic", "queries")
documents = datasets.load_dataset("embedding-benchmark/ChatDoctor_HealthCareMagic", "corpus")
pair_labels = datasets.load_dataset("embedding-benchmark/ChatDoctor_HealthCareMagic", "default")