| from itertools import groupby | |
| from torch_snippets import * | |
| from datasets import load_dataset | |
| ds = load_dataset('darentang/sroie') | |
| classes = ds['train'].features['ner_tags'].feature.names | |
| def make_classes(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_classes) | |
| ds.push_to_hub('sizhkhy/SROIE', commit_message="add fields as a new key") |