--- license: other license_name: tokenai-neo-dataset-license license_link: https://huggingface.co/datasets/tokenaii/Neo-dataset/blob/main/legal/DATASET_LICENSE.md language: - en task_categories: - text-classification tags: - system-one - decision-model - rlcd - synthetic - tool-routing --- # NEO - Decision Model Dataset

NEO - Decision Model Dataset

TokenAI is a non-profit startup founded in 2025 by Assem Sabry, based in Alexandria, Egypt. The dataset, model, source code, documentation, and related materials are owned by TokenAI. Contact: info@tokenai.llc · https://tokenai.llc Canonical reference: `tokenaii/Neo` — https://huggingface.co/tokenaii/Neo Complete source repository: [github.com/tokenaii/Neo](https://github.com/tokenaii/Neo). It contains the complete project source code, training code, synthetic-data generation code, evaluation and benchmark scripts, configurations, examples, documentation, licenses, and reproducibility materials. This repository contains the dataset files, manifest, provenance information, and dataset legal notices. Synthetic, schema-driven decision records for training and evaluating Neo, a System One decision model. The associated Neo checkpoint contains exactly 41,391,654 trainable parameters (approximately 41.4 million), as verified from the published `model.safetensors` metadata and the model architecture. ## Contents - 1,000,000 individual decisions. - 400,000 state records. - `choice`, `score`, and `noul` questions. - English-only state text, questions, labels, and tool descriptions. - Tool routing, urgency, human-review, ambiguity, distractor tools, option permutations, and unknowable cases. ## Provenance The records are generated by the `neo-synthetic` generator in the Neo repository. No rows from public datasets are copied into the generated corpus. Public datasets are used only for schema design, sanity checks, or separately documented evaluation. Generator: `neo-english-synthetic`. Generator seed: `20261003`. The complete source file used by training has SHA-256 `3eff0bcf1ced0e748698fefefcf8069d2cc997888d7568fddb5ccd6a1a651c50`. The four files under `data/` are a byte-preserving concatenation of that training source. ## Splits - `train`: 799,882 decisions - `calibration`: 100,138 decisions - `test`: 99,980 decisions The calibration split is reserved for probability calibration. The test split is reserved for final evaluation and must not be used for fitting. ## Intended use and limitations This dataset is a research corpus for typed decision models. It is not a substitute for domain-specific validation, human review, or safety testing. Synthetic distributions can contain template artifacts and must not be treated as real user behavior. ## Identity and license This dataset must remain identified as the **TokenAI Neo Decision Model Dataset** and must retain the canonical reference `tokenaii/Neo`. Rebranding, renaming, white-labeling, redistributing, rehosting, or publishing it under another identity is prohibited. The dataset must not be used without preserving its reference and provenance. See [the dataset license](legal/DATASET_LICENSE.md) and [the ownership notice](legal/NOTICE.md). Commercial, monetized, paid, sponsored, advertising-supported, production, client, resale, or financially beneficial use is forbidden. Any model or experiment trained with this dataset must clearly state that it used `tokenaii/Neo-dataset`. Third-party datasets referenced by the project are not included in this release and retain their own terms.