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Tasks:
Text Classification
Languages:
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Tags:
system-one
decision-model
rlcd
Synthetic
tool-routing
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metadata 
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. 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 and the ownership notice.

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.