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Fifty-Seven Thousand Prompts Became a Dataset
Researchers collected transactional prompts embedded in software and mapped their formal, semantic and usage patterns.
Summary
Researchers collected transactional prompts embedded in software and mapped their formal, semantic and usage patterns.
The corpus contains 57,500 unique prompts gathered from GitHub, focused on reproducible instructions integrated into code rather than one-off chat messages. A structured ontology records properties, formal components and semantics, revealing a Zipf-like mix of dominant patterns and a long tail across languages, domains, tasks and modalities. The team released both the dataset and an exploration interface, along with an error analysis of its automated annotations.
Why it matters
Researchers collected transactional prompts embedded in software and mapped their formal, semantic and usage patterns.
Limits and context
No additional limitation was separately recorded.
Key claims
Researchers collected transactional prompts embedded in software and mapped their formal, semantic and usage patterns.
Evidence: source-2026-08-16-007
Sources
- arXiv preprint 2608.12905arXiv · primary research
Corrections
No corrections have been recorded for this story.