| from datasets import load_dataset, concatenate_datasets, Dataset, Features, Value, ClassLabel, DatasetDict |
| import dotenv |
| import os |
| import demoji |
| import re |
|
|
| dotenv.load_dotenv(dotenv.find_dotenv()) |
| dataset = load_dataset('ruanchaves/hatebr') |
|
|
|
|
| dataset['train'] = concatenate_datasets( |
| [dataset['train'], dataset['validation']]) |
|
|
| dataset = dataset.select_columns('instagram_comments') |
|
|
| dataset = dataset.rename_column('instagram_comments', 'text') |
|
|
| dataset_dict = DatasetDict({'train': None, 'test': None}) |
|
|
| for split in ['train', 'test']: |
|
|
| df = dataset[split].to_pandas() |
|
|
| df['label'] = 'pt-BR' |
|
|
| for index, row in df.iterrows(): |
| text = row['text'].strip() |
| text = text.replace('\n', ' ') |
| text = re.sub(r'\s+', ' ', text) |
| text = demoji.replace(text, '') |
|
|
| df.at[index, 'text'] = text |
|
|
| dataset_dict[split] = Dataset.from_pandas(df, split='train', features=Features({ |
| "text": Value("string"), |
| "label": ClassLabel(num_classes=2, names=["pt-PT", "pt-BR"]) |
| })) |
|
|
|
|
| dataset_dict.push_to_hub('hate_br_li', token=os.getenv("HF_TOKEN")) |
|
|
