Datasets:
docs: add Neo Ar dataset card
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by assemsabry - opened
README.md
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---
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license: other
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license_name: tokenai-neo-ar-dataset-license
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license_link: https://huggingface.co/datasets/tokenaii/Neo-Ar-Dataset/blob/main/legal/DATASET_LICENSE.md
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language:
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- ar
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task_categories:
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- text-classification
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tags:
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- system-one
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- decision-model
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- rlcd
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- synthetic
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- tool-routing
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- arabic
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- arabic-only
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---
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# Neo Ar — Arabic Decision Model Dataset
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<p align="center"><img src="assets/neo-ar-cover.png" alt="Neo Ar — Arabic Decision Model Dataset" width="360"></p>
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This dataset contains synthetic Arabic-only decision records for training and
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evaluating Neo Ar. The model and dataset cards are written in English, but all
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state text, questions, labels, tool descriptions, and decision examples are in
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Arabic.
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## Initial target
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- 600,000 state records.
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- At least 1,800,000 individual decisions.
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- `choice`, `score`, and `noul` questions.
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- 40 Arabic-described tools and actions.
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- Train, calibration, and held-out test splits.
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The associated Neo Ar model contains 86,393,160 trainable parameters with the
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released Arabic tokenizer vocabulary.
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## Provenance
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Records are generated deterministically by the Arabic synthetic-data generator
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in the Neo Ar GitHub repository. No public dataset rows are copied into the
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training corpus. The final manifest will include counts, seed, split metadata,
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and SHA-256 hashes.
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## Links
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- Model: https://huggingface.co/tokenaii/Neo-Ar
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- Complete source and training repository: https://github.com/tokenaii/Neo-Ar
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Training logs and benchmark history are maintained on GitHub only and are not
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part of this dataset release.
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TokenAI is a non-profit startup founded in 2025 by Assem Sabry, based in
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Alexandria, Egypt. Contact: info@tokenai.llc — https://tokenai.llc.
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