Datasetpublic

PerSets/clinical-persian-qa-i

Clinical Question Answering Dataset I (Farsi) This dataset contains approximately 50k questions and around 60k answers, all produced in written form. The questions were posed by ordinary Persian speakers (Iranians), and the responses were provided by doctors from various specialties. Dataset Description Question records without corresponding answers have been excluded from the dataset. This dataset is NOT a part of Clinical Question Answering II dataset and is a… See the full description on the dataset page: https://huggingface.co/datasets/PerSets/clinical-persian-qa-i.

sourceHugging Faceccupdated 1y agoView on Hugging Face

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Dataset Card

Clinical Question Answering Dataset I (Farsi)

This dataset contains approximately 50k questions and around 60k answers, all produced in written form. The questions were posed by ordinary Persian speakers (Iranians), and the responses were provided by doctors from various specialties.

Dataset Description

Question records without corresponding answers have been excluded from the dataset. This dataset is NOT a part of Clinical Question Answering II dataset and is a complete different dataset.

This dataset will be updated periodically with new records.

The reference for this dataset is doctor-yab.ir website.

Usage

Huggingface datasets library:

python

from datasets import load_dataset
dataset = load_dataset('PerSets/clinical-persian-qa-i')

Pandas library:

python

import pandas
df = pd.read_json("train.jsonl", lines=True)

Vanilla Python:

python

import json

train = []
with open('train.jsonl', encoding="utf-8") as f:
    for line in f:
        obj = json.loads(line)
        train.append(obj)

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License

CC0