START_HERE.md

Upload ŊHAÏṢ–DQ II to Hugging Face

1. Extract the entire ZIP to a normal folder.
2. On Windows, double-click UPLOAD_PUBLIC_TO_HF.bat for a new public dataset, or UPLOAD_TO_HF.bat for a new private dataset.
3. Enter your repository ID, for example YOUR_USERNAME/Nhais-DQ-II.
4. Supply a Hugging Face token with write access when prompted. Input is hidden. The uploader also supports HF_TOKEN or existing Hugging Face authentication.

Python 3.10 or newer is required. The launcher creates a local .venv-hf and installs the upload dependency. You do not need Git, a GPU, an API subscription, or to put your token in any file. Token settings: https://huggingface.co/settings/tokens.

The uploader checks the file manifest, creates a dataset repository if needed, and commits the unpacked files. It does not upload the outer ZIP, save the entered token, or delete remote files. Re-running updates matching file paths. Existing repository visibility is retained; the public launcher does not change a private repository's visibility.

If the launcher reports a missing Python installation, install Python 3.10+ with the Windows launcher or PATH option enabled, then run it again.

On macOS or Linux:

python3 -m venv .venv-hf
.venv-hf/bin/python -m pip install -r requirements-upload.txt
.venv-hf/bin/python upload_to_hf.py --repo-id YOUR_USERNAME/Nhais-DQ-II --public

To check everything offline before uploading:

python verify_release.py
python upload_to_hf.py --verify-only

The manuscript and executable research are under research/. The default displayed table has 24 experimental cases; the generations configuration has 192 generation records. Author credit is preserved exactly. No new license has been assigned.