Lots-of-LoRAs/task514_argument_consequence_classification
收藏Hugging Face2025-01-02 更新2025-04-12 收录
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https://hf-mirror.com/datasets/Lots-of-LoRAs/task514_argument_consequence_classification
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资源简介：
task514论点后果分类数据集是一个自然语言处理任务数据集，用于训练和评估模型在论点后果分类任务上的性能。该数据集由众包方式创建，包含英语数据。它包括输入文本、输出标签和唯一标识符等特征，并分为训练集、验证集和测试集，分别包含137、17和18个样本。数据集遵循Apache-2.0许可证。
The task514_argument_consequence_classification dataset is a natural language processing task dataset designed for training and evaluating models on the argument consequence classification task. This dataset is created through crowdsourcing and contains English language data. It features input text, output labels, and unique identifiers, and is split into a training set, validation set, and test set with 137, 17, and 18 examples respectively. The dataset is licensed under Apache-2.0.
提供机构：
Lots-of-LoRAs
