license: apache-2.0
language:
- en
pretty_name: skycmd game decisions
task_categories:
- text-classification
tags:
- skycmd
- typed-decisions
- system-one
configs:
- config_name: dodge
data_files: data/dodge.parquet
- config_name: doom
data_files: data/doom.parquet
- config_name: flappy
data_files: data/flappy.parquet
- config_name: rescue
data_files: data/rescue.parquet
skycmd game decisions
Decision questions from the four skycmd control games (Flappy Drone, Rescue Run, Obstacle Dodge, a Doom-like shooter), labelled by the games' exact oracles. Generated by our Rust game cores: no third-party data.
Part of skycmd, tiny decision models trained from scratch in Rust that run in the
browser. Written by sky-games-gen --game all --n 60000 --seed 1, and --game doom --n 100000 --seed 1 (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/dodge.parquet |
60,000 |
data/doom.parquet |
100,000 |
data/flappy.parquet |
60,000 |
data/rescue.parquet |
60,000 |
from datasets import load_dataset
ds = load_dataset("maxgfr/skycmd-games", "dodge")
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.