UPLOAD_GUIDE.md

Upload Dataset to Hugging Face - Quick Guide

Step 1: Install Requirements

pip install huggingface_hub

Step 2: Login to Hugging Face

huggingface-cli login

You'll need a Hugging Face token:

1. Go to https://huggingface.co/settings/tokens
2. Create a new token with "write" permission
3. Copy and paste it when prompted

Step 3: Configure the Upload Script

Edit upload_to_huggingface.py:

• Change HF_USERNAME to your Hugging Face username
• Optionally change DATASET_NAME to your preferred name

Step 4: Run the Upload Script

python upload_to_huggingface.py

Step 5: Use in Kaggle

Once uploaded, in your Kaggle notebook:

1. Click "Add Data" button
2. Select "Hugging Face" tab
3. Search for your dataset name
4. Click "Add"

The dataset will be mounted at /kaggle/input/your-dataset-name/

Alternative: Direct Download in Kaggle

If you prefer, you can also download directly in your Kaggle notebook:

from huggingface_hub import snapshot_download

dataset_path = snapshot_download(
    repo_id="YOUR_USERNAME/DATASET_NAME",
    repo_type="dataset",
    local_dir="./pool_dataset"
)

print(f"Dataset downloaded to: {dataset_path}")

Verify Upload

After uploading, visit:

https://huggingface.co/datasets/YOUR_USERNAME/DATASET_NAME

You should see all your files (train, valid, test folders and data.yaml).