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# MultiReasoningQA

A unified dataset of 10,000 QA samples across 5 reasoning types:
- **Mathematical** (from GSM8K)
- **Multihop** (from HotpotQA)
- **Reading comprehension** (from DROP)
- **Commonsense** (from CommonsenseQA)
- **Logical** (from ReClor)

## Dataset Structure

**Columns**:
- `question` — The question text (may include context)
- `answer` — Correct answer
- `reasoning_type` — One of: `mathematical`, `multihop`, `reading_comp`, `commonsense`, `logical`
- `source` — Original dataset name
- `id` — Unique ID per row

**Splits**:
- `train`: 7847 rows
- `validation`: 980 rows
- `test`: 980 rows

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  path: data/validation-*
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- ---
 
 
 
 
 
 
 
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+ task_categories:
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+ - question-answering
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+ language:
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+ - en
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+ size_categories:
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+ - 1K<n<10K
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+ ---