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| "description": "LongBench is a bilingual, multitask benchmark for evaluating long-context understanding in large language models. It covers long-text application scenarios including single-document question answering, multi-document question answering, summarization, few-shot learning, synthetic long-context tasks, and code completion.\n\nThis Hugging Face dataset repository repackages locally downloaded LongBench JSONL files into a clean, typed, data-only Hugging Face dataset layout with one configuration per task. The goal of this repackaging is ease of use, reproducibility, dataset viewer compatibility, efficient loading, and convenient downstream evaluation. The dataset content, task design, and original benchmark are attributed to the LongBench authors and the THUDM LongBench project.\n", |
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