Upload example_how_to_use_hf.py

example_how_to_use_hf.py

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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"))