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Download README.md from EdgeArbiter/RKBI_Data: direct link, hf CLI and curl.
- Browser
- Download file 1.65 kB
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https://huggingface.co/datasets/EdgeArbiter/RKBI_Data/resolve/main/README.md
- Command line
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hf download hf://datasets/EdgeArbiter/RKBI_Data/README.md
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curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/datasets/EdgeArbiter/RKBI_Data/resolve/main/README.md
1.65 kB
| 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 | |
| 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. | |
| 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](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. | |
| ```python | |
| from datasets import load_dataset | |
| series = load_dataset("EdgeArbiter/RKBI_Data", "XIV", split="train", token=True) | |
| ``` | |