make_dataset.py

from ast import literal_eval

from datasets import Dataset, load_dataset

pm = load_dataset(
    "owaiskha9654/PubMed_MultiLabel_Text_Classification_Dataset_MeSH", split="train"
)

records = []
for t, lab in zip(pm["abstractText"], pm["meshMajor"]):
    try:
        labels = literal_eval(lab)
        labels = labels[:2]
        records.append({"text": t, "label": labels})
    except Exception:
        print("Couldn't add entry:", lab)

ds = Dataset.from_list(records)
ds = ds.train_test_split(test_size=0.2, seed=42)

ds.push_to_hub("kardosdrur/pubmed")