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  license: mit
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  license: mit
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+ # Turkish Pseudo-Reasoning Dataset
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+
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+ This project creates synthetic reasoning traces in Turkish for simple, fully
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+ verifiable tasks. Its goal is to provide a pseudo-reasoning dataset with 100%
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+ label accuracy, suitable for establishing a controlled reasoning baseline
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+ before experimenting with noisier, model-generated, or open-ended traces.
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+
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+ ## Topics
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+
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+ The current dataset covers:
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+
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+ - Addition
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+ - Subtraction
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+ - Multiplication, including signed numbers
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+ - Turkish letter counting
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+ - Unit conversion across volume, length, and mass units
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+
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+ ## Methodology
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+
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+ Each example is generated from deterministic task logic and rendered through
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+ varied Turkish question, reasoning, and answer templates. The traces explain
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+ intermediate operations such as carrying, borrowing, sign handling, character
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+ enumeration, and conversion equations. Turkish decimal notation, grammatical
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+ suffixes, unit abbreviations, zero values, and task-specific edge cases are
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+ handled explicitly.
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+
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+ Answers are calculated by code rather than produced by a language model. The
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+ generation script enforces unique prompts per task type, checks expected row
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+ counts, writes the dataset to Parquet, reads it back, and runs consistency
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+ checks on randomly sampled records. Conversion records additionally use
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+ deterministic equations and bounded decimal formatting.
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+
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+ ## Intended Use
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+
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+ The dataset is intended for supervised fine-tuning, evaluation, ablation
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+ studies, and baseline experiments involving Turkish reasoning traces.