地球资源数据云——数据资源详情
该数据集《Cat Meow Classification》主要用于多分类任务,数据形态以文本为主,应用场景偏向金融风控。 题目说明:440 audio recordings belonging to 3 classes 任务类型:文本多分类。 建议流程:先做文本清洗与分词,再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。 可用文件:未检测到标准 CSV,可优先查看目录中的索引或说明文件。 About this dataset Ah, yes. Finally a good, relevant question!!! The human race has managed to reach for the stars, however it still struggles to understand our feline friends. With this dataset you can contribute to this relevant task and perhaps one day we'll be able to translate their meows - so that they can officially tell us that we are in fact their pets. This dataset, composed of 440 sound recordings, contains meows emitted by cats in different contexts. Specifically, 21 cats belonging to 2 breeds (Maine Coon and European Shorthair) have been repeatedly exposed to three different stimuli that act as labels for prediction: Waiting for food;

该数据集《Cat Meow Classification》主要用于多分类任务,数据形态以文本为主,应用场景偏向金融风控。 题目说明:440 audio recordings belonging to 3 classes
任务类型:文本多分类。
建议流程:先做文本清洗与分词,再比较 TF - IDF+线性模型 与 预训练语言模型。
评估建议:使用分层切分或交叉验证,优先关注 F1、Recall、AUC 等分类指标。
可用文件:未检测到标准 CSV,可优先查看目录中的索引或说明文件。
About this dataset
Ah, yes. Finally a good, relevant question!!! The human race has managed to reach for the stars, however it still struggles to understand our feline friends.
With this dataset you can contribute to this relevant task and perhaps one day we'll be able to translate their meows - so that they can officially tell us that we are in fact their pets.
This dataset, composed of 440 sound recordings, contains meows emitted by cats in different contexts. Specifically, 21 cats belonging to 2 breeds (Maine Coon and European Shorthair) have been repeatedly exposed to three different stimuli that act as labels for prediction:
Waiting for food;