OPENREWRITEEVAL (OpenRewriteEval) is a benchmark for evaluating long-form, open-ended text rewriting by large language models. It covers a wide variety of rewriting types expressed through natural-language instructions and is designed to measure content preservation and to detect hallucinations or unintended modifications introduced by models when rewriting long-form text. The Hugging Face reupload (gabrielmbmb/OpenRewriteEval) contains a single split (train) with ~1.63k examples; fields include source (original long-form text), target (desired rewritten text), comment, and a task label with 6 classes (different rewriting types). The HF dataset page notes it was reuploaded from the original RewriteLM GitHub repository for convenience.
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