Lots-of-LoRAs/task505_count_all_numerical_elements_in_list
收藏Hugging Face2024-07-16 更新2024-07-06 收录
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https://hf-mirror.com/datasets/Lots-of-LoRAs/task505_count_all_numerical_elements_in_list
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资源简介：
该数据集的名称为task505_count_all_numerical_elements_in_list，推测其任务可能与计算列表中所有数值元素的数量有关。数据集包含5200个训练样本、650个验证样本和650个测试样本，每个样本包含输入、输出和ID三个特征。数据集的创建者和语言创建者均为众包，语言为英语，许可证为Apache-2.0。
The dataset is named task505_count_all_numerical_elements_in_list, and it is speculated that its task may be related to counting all numerical elements in a list. The dataset contains 5200 training samples, 650 validation samples, and 650 test samples, with each sample containing three features: input, output, and ID. The datasets creators and language creators are crowdsourced, the language is English, and the license is Apache-2.0.
提供机构：
Lots-of-LoRAs
