Provides ~3.8M chain-of-thought training examples (~3B tokens) that use a fixed 'Inventory / Interaction / Execution' scaffold to improve concise, reliable reasoning in small LLMs; topic-labeled, deduped, includes real tool-execution traces, CC-BY-4.0.
[next-mdx-remote-client] error compiling MDX: Unexpected character `~` (U+007E) before name, expected a character that can start a name, such as a letter, `$`, or `_` More information: https://mdxjs.com/docs/troubleshooting-mdx
Curated English Wikipedia text prepared for language-model training and evaluation, provided in WikiText-2 and WikiText-103 variants. Preserves original case, punctuation and numbers; offers raw and tokenized splits for long-range language modeling under a CC BY‑SA license.
Provides 16 weeks of anonymized production agent-session traces (12,002 sessions, ~1.19M LLM requests, ~1.21M tool calls, 209B input tokens) released as block-level prefix IDs plus flattened Parquet tables for KV-cache, scheduling and serving-system research.
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.
