Datasets:
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UPLOAD_INSTRUCTIONS.md
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# Manual Upload Instructions
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## HuggingFace
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1. Log in: `huggingface-cli login`
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2. Run:
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```python
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from huggingface_hub import HfApi
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api = HfApi()
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api.create_repo("ThorKlm/protac-plm-bench", repo_type="dataset", exist_ok=True)
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api.upload_folder(folder_path="/workspace/hf_upload", repo_id="ThorKlm/protac-plm-bench", repo_type="dataset")
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```
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Or via CLI:
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```bash
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huggingface-cli upload ThorKlm/protac-plm-bench /workspace/hf_upload . --repo-type dataset
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```
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## Kaggle (backup)
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1. Place `dataset-metadata.json` in the upload folder
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2. Run: `kaggle datasets create -p /workspace/hf_upload`
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## Post-upload verification
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```python
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from datasets import load_dataset
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ds = load_dataset("ThorKlm/protac-plm-bench")
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print(ds)
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```
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