Datasets:

Modalities:
Text
Formats:
parquet
Languages:
Norwegian
Libraries:
Datasets
pandas
File size: 755 Bytes
ce96a8b
342b720
 
ce96a8b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
342b720
ce96a8b
 
342b720
ce96a8b
342b720
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
from datasets import Dataset
from huggingface_hub import login
import json
# Load and process JSON data
with open("norwegian_medical_qa_v2.json") as f:
    raw_data = json.load(f)

# Transform the data
processed_data = []
for item in raw_data:
    wrong_answers = item["wrong_answers_text"]
    # wrong_answers= [ans.strip() for ans in  wrong_answers_raw.split(";")]
    processed_data.append({
        "question": item["question_text"],
        "answer": item["answer_text"],
        "wrong_answers": wrong_answers,
        "source_file": item["source_file"],
        "question_number": item["question_number"]
    })

# Create Hugging Face Dataset
dataset = Dataset.from_list(processed_data)

# Push to the Hub
dataset.push_to_hub("SimulaMet/NorMedQA")