Datasets:

maxgfr
/

skycmd-numeric

license: apache-2.0
language:
  - en
  - fr
pretty_name: skycmd numeric curriculum
task_categories:
  - text-classification
tags:
  - skycmd
  - typed-decisions
  - system-one
configs:
  - config_name: numeric
    data_files: data/numeric.parquet

skycmd numeric curriculum

Generated questions about numbers (comparisons, ranges, units) of the skycmd numeric curriculum (SPEC-S3 §3). No third-party data.

Part of skycmd, tiny decision models trained from scratch in Rust that run in the browser. Written by sky-train s2-numeric --n 100000 (scripts/prepare-data.sh) at commit 6cbcce8c. Licences of every set: DATA_LICENSES.md.

Each row is one typed decision question (docs/SPEC.md):

field	type	meaning
`src`	string	source
`t`	string	`choice`, `score` or `noul`
`ins`	string	the question
`opts`	list of strings	the options, rendered as text
`state`	string	the state the question is about
`target`	list of floats	a probability per option (soft or one-hot)
`split`	string	`train`, `val` or `test`

Licence

Apache-2.0: generated by skycmd's own code, no third-party data.

Files

file	rows
`data/numeric.parquet`	100,000

from datasets import load_dataset
ds = load_dataset("maxgfr/skycmd-numeric", "numeric")

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.