Datasets:
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Download README.md from maxgfr/skycmd-commands: direct link, hf CLI and curl.
- Browser
- Download file 1.29 kB
-
https://huggingface.co/datasets/maxgfr/skycmd-commands/resolve/main/README.md
- Command line
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hf download hf://datasets/maxgfr/skycmd-commands/README.md
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curl -L -o README.md https://huggingface.co/datasets/maxgfr/skycmd-commands/resolve/main/README.md
1.29 kB
metadata
license: cc-by-4.0
language:
- en
- fr
pretty_name: skycmd commands (MASSIVE intents, en + fr)
task_categories:
- text-classification
tags:
- skycmd
- typed-decisions
- system-one
configs:
- config_name: massive
data_files: data/massive.parquet
skycmd commands (MASSIVE intents, en + fr)
MASSIVE intents in English and French as command records ({src, lang, user, intent, split}), official splits.
Part of skycmd, tiny decision models trained from scratch in Rust that run in the
browser. Written by sky-data fetch-commands at commit 6cbcce8c.
Licences of every set: DATA_LICENSES.md.
Source and licence
MASSIVE (FitzGerald et al., 2022), CC-BY-4.0, via mteb/amazon_massive_intent. The conversion is ours.
Files
| file | rows |
|---|---|
data/massive.parquet |
32,341 |
from datasets import load_dataset
ds = load_dataset("maxgfr/skycmd-commands", "massive")
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.