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Dataset Investigation: Conduct research on summary datasets to understand their composition, quality, and applicable scenarios.
Corpus Collection: Focus on the collection of summary corpora to ensure a sufficient and diverse data source to support the construction of the benchmark.
Benchmark Construction: Based on the preliminary research and corpus collection achievements, build a summary benchmark to ensure it comprehensively assesses the performance of summary technologies.
Open-source Benchmark: Make the constructed summary benchmark open-source, allowing the entire community to benefit from it, and improve the transparency and reliability of summary technologies.
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Feature Request
Develop and open-source a summary benchmark.
Motivation
Dataset Investigation: Conduct research on summary datasets to understand their composition, quality, and applicable scenarios.
Corpus Collection: Focus on the collection of summary corpora to ensure a sufficient and diverse data source to support the construction of the benchmark.
Benchmark Construction: Based on the preliminary research and corpus collection achievements, build a summary benchmark to ensure it comprehensively assesses the performance of summary technologies.
Open-source Benchmark: Make the constructed summary benchmark open-source, allowing the entire community to benefit from it, and improve the transparency and reliability of summary technologies.
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功能请求
构建并开源一个summary benchmark。
动机
数据集调研:进行summary数据集的调研,了解现有的summary数据集的构成、质量以及适用场景。
语料收集:专注于summary语料的收集,以保证有足够的、多样化的数据来源来支撑benchmark的构建。
Benchmark构建:依据前期的调研和语料收集成果,构建summary benchmark,确保它能全面评估summary技术的性能。
开源Benchmark:将构建好的summary benchmark开源,让整个社区都能从中受益,提高summary技术的透明度和可靠性。
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