autoevaluate/autoeval-staging-eval-project-a741994f-efcd-40c8-8652-be4f42ba26cd-31
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资源简介:
该数据集包含由AutoTrain生成的模型预测结果,用于多类文本分类任务。使用的模型是autoevaluate/multi-class-classification,数据集为emotion,配置为default,数据分割为test。评估任务包括多类分类,评估指标为马修斯相关系数(matthews_correlation)。
This dataset contains model prediction results generated by AutoTrain for multi-class text classification tasks. The model utilized is autoevaluate/multi-class-classification, the dataset used is emotion, with the configuration set to default and the data split designated as test. The evaluation task involves multi-class classification, and the evaluation metric is Matthews Correlation Coefficient (matthews_correlation).
提供机构:
autoevaluate原始信息汇总
数据集概述
数据集名称
- 名称:emotion
数据集配置
- 配置:default
数据集分割
- 分割:test
任务类型
- 任务:multi_class_classification
模型信息
- 模型:autoevaluate/multi-class-classification
评估指标
- 指标:matthews_correlation
列映射
- text: text
- target: label



