AI Dataset2025
Open synthetic corpus for training small reasoning-focused language models — ~79.65M generated samples (≈75B tokens with Pleias tokenizer) amplified from ~58.7k Wikipedia/Wikibooks seeds; includes explicit synthetic reasoning traces, multilingual coverage, and parquet splits.
AI Agent2026
Helps produce and revise natural, readable Japanese for work documents by applying a 12-item writing constitution and sudachipy-powered lint to detect and remove “AI-smelling” patterns; includes diagnostic scoring and iterative rewrite loops.
AI Agent2026
Rewrites agent-facing English into ASD-STE100 Simplified Technical English to remove parsing ambiguity for downstream AI agents. Performs sentence-by-sentence rule checks and deterministic rewrites while preserving all facts and scope qualifiers. Best for error messages, tool descriptions, and inter-agent instructions.