skycmd-evals / README.md
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skycmd 8cc8e276: skycmd hand-written evaluation sets
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metadata
license: apache-2.0
language:
  - en
  - fr
pretty_name: skycmd hand-written evaluation sets
task_categories:
  - text-classification
tags:
  - skycmd
configs:
  - config_name: demo-cases
    data_files: data/demo-cases.parquet

skycmd hand-written evaluation sets

The evaluation material skycmd wrote by hand: the cases of the browser demos, the questions and class definitions of the s5 zero-shot sets, and the paraphrases of the typed-decisions test definitions.

Part of skycmd, tiny decision models trained from scratch in Rust that run in the browser. Written by written by hand, frozen by docs/s5-prereg.md at commit 8cc8e276. Licences of every set: DATA_LICENSES.md.

demo-cases has the typed-decision schema with opts_kv (pairs of option id and definition) instead of opts. Two files are frozen by docs/s5-prereg.md (their sha256 is recorded there) and shipped as they are:

  • files/defs.json: the hand-written questions and class definitions of the s5 zero-shot sets;
  • files/paraphrases.json: hand-written paraphrases of the option definitions of the typed-decisions test split, with no template in common with the training paraphrases.

Sources and licences

Each config is one source and keeps its source's licence (share-alike sources stay share-alike). Attribution goes to the upstream authors; the conversion is ours.

config upstream licence how it is used rows
demo-cases ours, hand-written (eval/s5/demo-cases.jsonl) apache-2.0 the 56 cases of the browser demos (30 en, 26 fr): tools, guard, triage, score, playground; excluded from training 56

Files

file rows
data/demo-cases.parquet 56
files/defs.json —
files/paraphrases.json —
from datasets import load_dataset
ds = load_dataset("maxgfr/skycmd-evals", "demo-cases")

skycmd wrote no row with a language model: the targets come from the upstream labels (some upstream sets carry their own teacher soft labels, see their cards), the games' oracles or our generators.