# -*- coding: utf-8 -*-
"""HuggingFaces.ipynb

Automatically generated by Colab.

Original file is located at
    https://colab.research.google.com/drive/1Ml1ue4F3waL2SPxmUZgiVOoAC9cimegP
"""

from datasets import Dataset      # For creating Hugging Face dataset
import pandas as pd              # For handling tabular data

data = {
    "text": [
        "I love machine learning",
        "Hugging Face makes AI easy",
        "Natural language processing is interesting",
        "Deep learning models are powerful",
        "AI is transforming industries",
        "Data science is exciting",
        "Python is widely used in AI",
        "Models require good datasets",
        "Learning AI step by step is helpful",
        "Custom datasets improve performance"
    ],
    "label": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]
}

df = pd.DataFrame(data)   # Convert dictionary to DataFrame
df.head()

dataset = Dataset.from_pandas(df)   # Convert DataFrame to HF dataset

print(dataset)   # Display dataset structure

dataset.save_to_disk("my_dataset")   # Save dataset locally

from huggingface_hub import login   # For authentication

login()   # Login to Hugging Face account
dataset.push_to_hub("your-username/my_dataset")   # Upload dataset