| # Upload Dataset to Hugging Face - Quick Guide
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| ## Step 1: Install Requirements
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| ```bash
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| pip install huggingface_hub
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| ```
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| ## Step 2: Login to Hugging Face
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| ```bash
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| huggingface-cli login
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| ```
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| You'll need a Hugging Face token:
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| 1. Go to https://huggingface.co/settings/tokens
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| 2. Create a new token with "write" permission
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| 3. Copy and paste it when prompted
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| ## Step 3: Configure the Upload Script
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| Edit `upload_to_huggingface.py`:
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| - Change `HF_USERNAME` to your Hugging Face username
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| - Optionally change `DATASET_NAME` to your preferred name
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|
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| ## Step 4: Run the Upload Script
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| ```bash
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| python upload_to_huggingface.py
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| ```
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| ## Step 5: Use in Kaggle
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| Once uploaded, in your Kaggle notebook:
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| 1. Click "Add Data" button
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| 2. Select "Hugging Face" tab
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| 3. Search for your dataset name
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| 4. Click "Add"
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| The dataset will be mounted at `/kaggle/input/your-dataset-name/`
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|
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| ## Alternative: Direct Download in Kaggle
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| If you prefer, you can also download directly in your Kaggle notebook:
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| ```python
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| from huggingface_hub import snapshot_download
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| dataset_path = snapshot_download(
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| repo_id="YOUR_USERNAME/DATASET_NAME",
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| repo_type="dataset",
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| local_dir="./pool_dataset"
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| )
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| print(f"Dataset downloaded to: {dataset_path}")
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| ```
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| ## Verify Upload
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| After uploading, visit:
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| ```
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| https://huggingface.co/datasets/YOUR_USERNAME/DATASET_NAME
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| ```
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| You should see all your files (train, valid, test folders and data.yaml).
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