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EVE-AUREOLITH-Omega

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EVE-AUREOLITH-Omega / UPLOAD_GUIDE.md
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EVE-AUREOLITH Omega research release 1.0.0-hf.1
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Upload this release to Hugging Face

Recommended repository name: EVE-AUREOLITH-Omega
Repository type: Dataset
Display title: EVE–AUREOLITH Ω: Observable-Kernel Realizability Under Acoustic Actuation

This folder is ready to upload. Its root README.md is the Hugging Face card; the intact manuscript, code, and certificates are in research/. Upload the contents of this folder, so that README.md sits at the repository root. Preparation has not created or published a remote repository.

Rights decision

The source release has no selected redistribution license. Its rights statement and this status are preserved. Decide the intended permissions before public distribution. If you choose a license later, update the applicable rights files and card metadata, and regenerate the release integrity manifest; do not merely tag the entire bundle with a license that covers only part of it.

Windows: automatic upload helper

  1. Extract the ZIP completely. Keep its folder structure intact.
  2. Open UPLOAD_WINDOWS.bat from the extracted folder.
  3. The helper uses the Windows Python launcher, installs huggingface_hub if missing, and requests sign-in through the official library if needed. Enter your token only into that authentication prompt. Never place a token in the repository.
  4. Enter YOUR_USERNAME/EVE-AUREOLITH-Omega when asked for the repository ID.

Running the helper uploads the files and creates a public dataset repository if that name is unused. For a private new repository, open a terminal in this folder and run:

py -m pip install --upgrade huggingface_hub
py upload_to_huggingface.py --repo-id YOUR_USERNAME/EVE-AUREOLITH-Omega --private

For an existing repository, its existing visibility is retained. The helper adds or replaces matching file paths; it does not delete other remote files. Use a fresh name for this release if you want a clean standalone repository.

A local-only preview, with no login or network request:

py upload_to_huggingface.py --repo-id YOUR_USERNAME/EVE-AUREOLITH-Omega --dry-run

Official CLI alternative

From this folder:

python -m pip install --upgrade huggingface_hub
hf auth login
hf upload YOUR_USERNAME/EVE-AUREOLITH-Omega . . --repo-type dataset --commit-message "EVE-AUREOLITH Omega research release 1.0.0-hf.1"

The current official CLI uses hf; an old huggingface-cli command is unnecessary. The Python uploader is convenient when the hf executable is not on Windows PATH.

Browser alternative

Create a Dataset repository at https://huggingface.co/new-dataset and upload this folder's contents through its file uploader, preserving all subfolders. Use the root README.md as the dataset card. You can instead keep the manuscript PDF and source research ZIP as downloadable artifacts, but a ZIP-only upload will not expose the card or source tree correctly.

Check before and after upload 

python verify_release.py

After upload, check the rendered card, manuscript link, figures, and nested source files. The heterogeneous research collection intentionally has no automatic table viewer or fabricated train/test splits. No trained model, inference widget, or Space configuration is required.

Research reproduction writes diagnostic outputs. Use a working copy for those runs and a fresh extraction for an unchanged release upload. The checksum manifest establishes file integrity, not the correctness of the mathematical theorems.

Official documentation consulted for this edition: