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
- Like this dataset using the heart button.
- Follow @EdgeArbiter.
- 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 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.
from datasets import load_dataset
series = load_dataset("EdgeArbiter/VCLHO_Data", "SE", split="train", token=True)
# Choose "QN" to load the other subset.