five

Various Language Ability Datasets

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arXiv2025-09-30 收录
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https://github.com/neulab/gemini-benchmark
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资源简介:
该数据集评估了模型在多种任务中的语言能力,包括推理、基于知识的问答、数学问题解决、语言翻译、代码生成和指令遵循等,共涉及10个不同的数据集。这些数据集被用于对标谷歌Gemini和OpenAI GPT模型的性能。尽管在提供的信息中并未具体列出这些数据集的名称,但它们在评估模型的各项语言能力方面发挥了关键作用。

This evaluation dataset assesses the language capabilities of models across a range of tasks, including reasoning, knowledge-based question answering, mathematical problem-solving, language translation, code generation, and instruction following. It encompasses a total of 10 distinct datasets. These datasets are utilized to benchmark the performance of Google Gemini and OpenAI GPT models. Although the specific names of these datasets are not listed in the provided information, they play a pivotal role in evaluating the various language capabilities of models.
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