Download README.md from EdgeArbiter/RKBI_Data: direct link, hf CLI and curl.
- Browser
- Download file 1.65 kB
-
https://huggingface.co/datasets/EdgeArbiter/RKBI_Data/resolve/main/README.md
- Command line
-
hf download hf://datasets/EdgeArbiter/RKBI_Data/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/EdgeArbiter/RKBI_Data/resolve/main/README.md
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: XIV
data_files:
- split: train
path: data/XIV_r0001.parquet
RKBI_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.
One daily tabular subset identified as XIV, containing one current full-history Parquet file. Instrument names use reversed-character aliases.
Descriptions, reversible column mappings, provenance, original schema metadata, coverage, missing-value counts, and validated checksums are in metadata.enc, encrypted with the owner's existing key.
The records are unencrypted and available to approved users. Metadata encryption protects descriptions; published values and aliases can still reveal their meaning. Updates are manual after validation; no real-time delivery or fixed 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/RKBI_Data", "XIV", split="train", token=True)