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Update DPO family dataset: basic_arithmetic_qa

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  1. README.md +12 -6
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  path: data/*.jsonl
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  ---
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- # SLM Synthetic DPO
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  ## Summary
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- Synthetic preference-pair dataset containing chosen and rejected assistant responses.
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  ## Dataset
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  - Dataset type: `preference optimization`
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- - Total pairs: `90000`
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- - Signals: `ai_concept_explanation, basic_arithmetic_qa, capital_city_qa, clear_sky_color_qa, code_explanation_no_code, code_expression_result, code_generation_function, direct_division, direct_subtraction, function_completion_body_only, list_exact_n_items, private_or_unverifiable_company_fact, repeat_exact_n_times, short_factual_stop_behavior`
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- - Teacher model: `deepseek/deepseek-v4-flash`
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  - Language: English
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  ## Schema
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  ```json
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  ## Intended Use
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- Use this dataset for DPO-style preference optimization experiments.
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  ## Limitations
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  path: data/*.jsonl
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  ---
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+ # SLM Synthetic DPO — basic_arithmetic_qa
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  ## Summary
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+ Synthetic preference-pair dataset containing chosen and rejected assistant responses for `basic_arithmetic_qa`.
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  ## Dataset
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  - Dataset type: `preference optimization`
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+ - Total pairs: `6429`
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+ - Signal: `basic_arithmetic_qa`
 
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  - Language: English
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+ ## Signal Metadata
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+
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+ - Category: `direct_arithmetic`
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+ - Difficulty: `1`
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+ - Template family: `direct_addition`
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+ - Eval family: `basic_arithmetic_qa`
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+
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  ## Schema
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  ```json
 
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  ## Intended Use
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+ Use this dataset for DPO-style preference optimization experiments targeting this signal.
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  ## Limitations
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