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docs: update organized dataset card and exact provenance

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  1. README.md +18 -12
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@@ -1,7 +1,7 @@
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  ---
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  license: other
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- license_name: tokenai-neo-dataset-license-v3.0
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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:
@@ -16,7 +16,7 @@ tags:
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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.
@@ -28,24 +28,29 @@ Synthetic, schema-driven decision records for training and evaluating Neo, a Sys
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  ## Contents
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- - Up to 1,000,000 individual decisions.
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- - Approximately 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 in this release are generated by the versioned `neo-synthetic-v1` 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-v1`.
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- Generator seed: `20261003`
 
 
 
 
 
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  ## Splits
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- - `train`: 800,000 decisions
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- - `calibration`: 100,000 decisions
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- - `test`: 100,000 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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@@ -59,7 +64,8 @@ This dataset must remain identified as the **TokenAI Neo Decision Model Dataset*
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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 [DATASET_LICENSE.md](DATASET_LICENSE.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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  ---
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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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+
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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