Datasets:
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README.md
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license: mit
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---
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license: mit
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---
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# Turkish Pseudo-Reasoning Dataset
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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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## Topics
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The current dataset covers:
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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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## Methodology
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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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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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## Intended Use
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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.
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