Prediction-Level Benchmark Metadata and Model Scores for Multi-Provider AI-Text Detection in Turkish Scholarly Abstracts

The release comprises 1,678 benchmark records grouped into 60 independent source clusters: 60 human records and metadata for 1,618 AI-assisted variants. The benchmark covers seven academic domains, four generative-AI providers (OpenAI, Gemini, Claude, and DeepSeek), six prompt families, four contribution levels, and 179 adversarial transformations.

Each record includes provenance identifiers, source-cluster identifiers, binary labels, contribution metadata, provider and prompt metadata, domain and document-type variables, adversarial-operation metadata, text hashes, word counts, and three frozen model-score fields. The repository also provides raw and processed tabular releases, a data dictionary, source registry, quality-control reports, descriptive tables, authoritative results registries, deterministic validation code, statistical-analysis code, figure-generation code, software requirements, licenses, citation metadata, and SHA-256 checksums.