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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"))
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