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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](https://github.com/maxgfr/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`](https://github.com/maxgfr/skycmd/commit/8cc8e276adabbe1cc37998fb70fdd5c947ffda81).
Licences of every set: [DATA_LICENSES.md](https://github.com/maxgfr/skycmd/blob/main/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` | — |
```python
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.
|