from itertools import groupby
from torch_snippets import *
from datasets import load_dataset

ds = load_dataset('not-lain/sroie')
classes = ds['train'].features['ner_tags'].feature.names

def make_fields(X):
    x = AD(X)
    words_with_labels = wwl = [(w, classes[l]) for w,l in zip(x.words, x.ner_tags)]
    wwl = [i for i in wwl if i[1] != 'O']
    wwl = [(w,l.split('-')[1]) for w,l in wwl]
    wwl = {cls: ' '.join(next(zip(*group))) for cls,group in groupby(wwl, key=lambda x: x[1])}
    X['fields'] = wwl
    return X

ds = ds.map(make_fields)
ds.push_to_hub('sizhkhy/SROIE', commit_message="add fields as a new key")