UPLOAD_GUIDE.md

# Upload Dataset to Hugging Face - Quick Guide

## Step 1: Install Requirements

```bash

pip install huggingface_hub

```

## Step 2: Login to Hugging Face

```bash

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

```bash

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:

```python

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).