Prepare a dataset
SkillDatabases & dataConvert or normalize existing time-series files into ModernTSF-ready splits. Use for windowing CSV data, producing NPZ splits, converting traffic bundles, or downloading GIFT-Eval data; not for registering a new loader.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Prepare a dataset skill
What this skill tells your AI
The instructions your AI receives, as published by diaugeia/moderntsf in .agents/skills/prepare-dataset/SKILL.md and read by ahel’s review.
Inspect source layout and destination before writing. For CSV windowing:
uv run tsf dataset prepare --input-csv <file.csv> --output-dir <dir> \
--seq-len 96 --label-len 48 --pred-len 96
Use --input-dir for pre-split CSVs, uv run tsf dataset convert-traffic --help for graph data, or uv run tsf dataset gift-download --help for GIFT-Eval.
Verify all splits, shapes, requested windows, train-only scaling, and preservation of source files. Stop before replacing an existing output directory without authorization.
Signals
- GitHub stars
- 65
- Forks
- 8
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
prepare-dataset- Source
- github.com/diaugeia/moderntsf