Datasets:
docs: update organized dataset card and exact provenance
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README.md
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---
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license: other
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license_name: tokenai-neo-dataset-license
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license_link: https://huggingface.co/datasets/tokenaii/Neo-dataset/blob/main/DATASET_LICENSE.md
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language:
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- en
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task_categories:
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# NEO - Decision Model Dataset
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<p align="center"><img src="neo-cover.png" alt="NEO - Decision Model Dataset" width="360"></p>
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TokenAI is a non-profit startup founded in 2025 by Assem Sabry, based in Alexandria, Egypt. The dataset,
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model, source code, documentation, and related materials are owned by TokenAI.
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## Contents
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- `choice`, `score`, and `noul` questions.
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- English-only state text, questions, labels, and tool descriptions.
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- Tool routing, urgency, human-review, ambiguity, distractor tools, option permutations, and unknowable cases.
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## Provenance
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The records
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Generator: `neo-english-synthetic
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Generator seed: `20261003`
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## Splits
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- `train`:
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- `calibration`: 100,
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- `test`:
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The calibration split is reserved for probability calibration. The test split must not be used to select checkpoints, thresholds, or temperature.
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retain the canonical reference `tokenaii/Neo`. Rebranding, renaming,
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white-labeling, redistributing, rehosting, or publishing it under another
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identity is prohibited. The dataset must not be used without preserving its
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reference and provenance. See [
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Commercial, monetized, paid, sponsored, advertising-supported, production,
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client, resale, or financially beneficial use is forbidden. Any model or
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---
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license: other
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license_name: tokenai-neo-dataset-license
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license_link: https://huggingface.co/datasets/tokenaii/Neo-dataset/blob/main/legal/DATASET_LICENSE.md
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language:
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- en
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task_categories:
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# NEO - Decision Model Dataset
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<p align="center"><img src="assets/neo-cover.png" alt="NEO - Decision Model Dataset" width="360"></p>
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TokenAI is a non-profit startup founded in 2025 by Assem Sabry, based in Alexandria, Egypt. The dataset,
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model, source code, documentation, and related materials are owned by TokenAI.
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## Contents
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- 1,000,000 individual decisions.
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- 400,000 state records.
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- `choice`, `score`, and `noul` questions.
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- English-only state text, questions, labels, and tool descriptions.
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- Tool routing, urgency, human-review, ambiguity, distractor tools, option permutations, and unknowable cases.
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## Provenance
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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.
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Generator: `neo-english-synthetic`.
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Generator seed: `20261003`.
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The complete source file used by training has SHA-256
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`3eff0bcf1ced0e748698fefefcf8069d2cc997888d7568fddb5ccd6a1a651c50`.
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The four files under `data/` are a byte-preserving concatenation of that
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training source.
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## Splits
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- `train`: 799,882 decisions
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- `calibration`: 100,138 decisions
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- `test`: 99,980 decisions
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The calibration split is reserved for probability calibration. The test split must not be used to select checkpoints, thresholds, or temperature.
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retain the canonical reference `tokenaii/Neo`. Rebranding, renaming,
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white-labeling, redistributing, rehosting, or publishing it under another
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identity is prohibited. The dataset must not be used without preserving its
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reference and provenance. See [the dataset license](legal/DATASET_LICENSE.md)
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and [the ownership notice](legal/NOTICE.md).
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Commercial, monetized, paid, sponsored, advertising-supported, production,
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client, resale, or financially beneficial use is forbidden. Any model or
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