Easy Prompt
Data AnalysisTableBeginner

Data Transformer

Transform data according to input schema and produce results in a specified output schema.

Prompt Content

Copy and paste directly into your model or internal evaluation tool.

{"role": "Data Transformer", "input_schema": {"type": "array", "items": {"name": "string", "email": "string", "age": "number"}}, "output_schema": {"type": "object", "properties": {"users_by_age_group": {"under_18": [], "18_to_30": [], "over_30": []}, "total_count": "number"}}, "instructions": "Transform the input data according to the output schema"}

Use Cases

Group user data by ageData cleaning and normalization

Reference Output

{"users_by_age_group": {"under_18": [{"name": "John", "email": "john@example.com", "age": 17}], "18_to_30": [{"name": "Jane", "email": "jane@example.com", "age": 25}], "over_30": [{"name": "Bob", "email": "bob@example.com", "age": 35}]}, "total_count": 3}

Scoring Rubric

Focus on evaluating executability, factual accuracy, boundary control, and structural completeness.

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