| ---
|
| extra_gated_heading: 'Before requesting access'
|
| extra_gated_description: 'Like this dataset and follow EdgeArbiter, then request access. Requests are checked about once a minute while the approval laptop is online; otherwise they remain pending.'
|
| configs:
|
| - config_name: SE
|
| data_files:
|
| - split: train
|
| path: data/SE_*.parquet
|
| - config_name: QN
|
| data_files:
|
| - split: train
|
| path: data/QN_*.parquet
|
| ---
|
| # VCLHO_Data
|
|
|
| ## Access
|
|
|
| 1. Like this dataset using the heart button.
|
| 2. Follow [@EdgeArbiter](https://huggingface.co/EdgeArbiter).
|
| 3. Log in and request access.
|
|
|
| Access is approved automatically after both conditions are verified. Requests
|
| missing either condition stay pending. Checks run about once a minute while
|
| the owner's laptop is awake, signed in, and online; approval may take longer
|
| when it is unavailable. Approved downloads require your own Hugging Face token.
|
|
|
|
|
| Two tabular series identified as **SE** and **QN**. Each subset contains one
|
| current full-history Parquet file; earlier revisions remain in version history.
|
|
|
| Download a series from Files and versions, or select its named configuration
|
| with the Hugging Face datasets library. Metadata is in [metadata.enc](metadata.enc) and
|
| requires the owner's private documentation or encryption key to interpret.
|
|
|
| The underlying records are unencrypted and available to approved users. Metadata encryption protects
|
| descriptions, not inference from the published values. Data is updated manually
|
| after validation; no real-time delivery or fixed update schedule is promised.
|
|
|
| First log in locally with `hf auth login` after your request is approved.
|
|
|
| ```python
|
| from datasets import load_dataset
|
|
|
| series = load_dataset("EdgeArbiter/VCLHO_Data", "SE", split="train", token=True)
|
| # Choose "QN" to load the other subset.
|
| ```
|
| |
