iberbench/tass2020_emotion_analysis

TASS 2020数据集专注于西班牙语文本中的情感分析，特别是识别愤怒、喜悦、悲伤、恐惧和惊讶等情感的存在及其强度。数据来源于西班牙语社交媒体，为情感检测提供了一个具有挑战性和丰富资源的平台。数据集包含训练集和测试集，分别有5,890和857个实例。每个实例包含原始社交媒体文本和检测到的情感标签。数据经过匿名化处理，不包含可识别的个人信息。

The TASS 2020 Emotion Analysis dataset focuses on emotion analysis in Spanish text, specifically identifying the presence and intensity of emotions such as anger, joy, sadness, fear, and surprise. The data originates from Spanish-language social media, providing a challenging and rich resource for emotion detection. The dataset includes features such as text, label, and language, with splits for training and testing. The dataset is curated by the TASS 2020 organizers and collaborators from SEPLN, and it is anonymized to protect personal and sensitive information. The dataset is intended for text classification tasks, particularly emotion detection, and is measured by F1-score. The language of the dataset is Spanish, reflecting informal language typical of social media communication.