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Chisael-Nexythra / docs /UPLOAD_GUIDE.md
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Upload CHISAEL-NEXYTHRA II research dataset v1.0.0
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Upload CHISÆL–NEXYTHRA II as a Hugging Face dataset

Suggested name: CHISAEL-NEXYTHRA-II.

Suggested display title: CHISÆL–NEXYTHRA II: Nonlinear Helicity Event Research Dataset.

Short description: A 72-page AI-assisted mathematical draft and reproducibility dataset on finite nonlinear helicity-event calendars, quadratic retuning, phase-selected triad response, and energy-clock invariants. Includes 14 source tables, 1,139 verification records, code, figures, and claim provenance. Historical priority is unverified.

Browser upload

  1. Extract this ZIP completely.
  2. Open Create a dataset and choose your account namespace and CHISAEL-NEXYTHRA-II. Set repository type to Dataset and select your desired visibility.
  3. Upload the contents of the extracted CHISAEL_NEXYTHRA_II_HF_Dataset_v1.0.0 folder, preserving subdirectories. README.md, data/, and research/ belong directly at the repository root. A lone ZIP upload will not expose the structured viewer configurations.
  4. Commit the files. Open the dataset page and inspect the default verification_checks configuration, then the other configurations. Viewer processing occurs on Hugging Face after upload; it has not been tested on a live repository by this preparation.

The source has no selected redistribution license. The card intentionally omits the YAML license field. If you decide on licensing, add the chosen terms and update the source notice/card rather than selecting a misleading Hub license tag.

Python uploader (Windows, Linux, macOS)

Install the uploader dependency and authenticate once:

python -m pip install --upgrade huggingface_hub
hf auth login

Use a write-enabled token with access to your target dataset. The uploader reads saved authentication or HF_TOKEN; it does not ask you to paste a token into a file. Replace YOUR_USERNAME with your actual namespace:

python scripts/upload_dataset.py YOUR_USERNAME/CHISAEL-NEXYTHRA-II --dry-run
python scripts/upload_dataset.py YOUR_USERNAME/CHISAEL-NEXYTHRA-II

Use --private when creating a new private repository. The script does not change an existing repository's visibility. It validates release hashes, uploads only declared release files, and always uses repo_type="dataset".

On Windows, double-click upload_windows.bat from the extracted folder; it asks for your repository ID and keeps the window open so you can read the result. PowerShell: ./upload.ps1 YOUR_USERNAME/CHISAEL-NEXYTHRA-II. Linux/macOS: bash upload.sh YOUR_USERNAME/CHISAEL-NEXYTHRA-II.

If interrupted, rerun the same upload command and inspect the resulting dataset commit. No remote deletion is requested. If a file fails its release hash, extract a fresh copy or review your intended edits and regenerate the manifest deliberately.

CLI alternative

From the extracted repository root, current documented CLI usage is:

hf upload YOUR_USERNAME/CHISAEL-NEXYTHRA-II . . --repo-type dataset

The Python uploader is the provided path that enforces the release manifest.

Completion scope

This archive is prepared for upload; no repository was created or published during preparation. It contains no account tokens, secret credentials, invented DOI, or guessed account name. All 19 configurations were locally tested; live Hub viewer indexing still depends on the eventual upload.

Official references (checked 9 October 2026):