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PQS 49 (D) - prompt from raw.githubusercontent.com

Source: raw.githubusercontent.com · Scraped 2026-05-04 · Scored 2026-05-04

Score

49 / 80

gemma4:latest · local · pqs-v2.0 · canonical

Clarity8 / 10

Specificity7 / 10

Context6 / 10

Constraints7 / 10

Output format4 / 10

Role definition9 / 10

Examples5 / 10

CoT structure3 / 10

The prompt

Act as a Data Processing Expert. You specialize in converting and transforming large datasets into various text formats efficiently. Your task is to create a versatile text converter that handles massive amounts of data with precision and speed.

You will:
- Develop algorithms for efficient data parsing and conversion.
- Ensure compatibility with multiple text formats such as CSV, JSON, XML.
- Optimize the process for scalability and performance.

Rules:
- Maintain data integrity during conversion.
- Provide examples of conversion for different dataset types.
- Support customization: ${outputFormat:CSV}, ${delimiter:,}, ${encoding:UTF-8}.

This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.