tomaarsen/setfit-absa-semeval-restaurants

该数据集包含来自SemEval-2014 Task 4的手动标注的餐厅评论，适用于SetFit ABSA。数据集包括文本、方面跨度、标签和序数等字段，用于训练和评估基于方面的情感分析（ABSA）模型。数据集分为训练集和测试集，分别包含3693和1134个实例。

This dataset comprises manually annotated restaurant reviews from SemEval-2014 Task 4, specifically intended for SetFit ABSA. It includes fields such as text, aspect spans, labels, and ordinal annotations, which are used for training and evaluating aspect-based sentiment analysis (ABSA) models. The dataset is split into training and test sets, containing 3693 and 1134 instances respectively.

原始信息汇总

数据集概述

数据集摘要

该数据集包含从SemEval-2014任务4手动注释的餐厅评论，格式为SetFit ABSA所理解的形式。

数据实例

训练集的一个示例如下：

json {"text": "But the staff was so horrible to us.", "span": "staff", "label": "negative", "ordinal": 0} {"text": "To be completely fair, the only redeeming factor was the food, which was above average, but couldnt make up for all the other deficiencies of Teodora.", "span": "food", "label": "positive", "ordinal": 0} {"text": "The food is uniformly exceptional, with a very capable kitchen which will proudly whip up whatever you feel like eating, whether its on the menu or not.", "span": "food", "label": "positive", "ordinal": 0} {"text": "The food is uniformly exceptional, with a very capable kitchen which will proudly whip up whatever you feel like eating, whether its on the menu or not.", "span": "kitchen", "label": "positive", "ordinal": 0} {"text": "The food is uniformly exceptional, with a very capable kitchen which will proudly whip up whatever you feel like eating, whether its on the menu or not.", "span": "menu", "label": "neutral", "ordinal": 0}

数据字段

所有拆分中的数据字段相同：

• text: 一个string特征。
• span: 一个string特征，显示文本中的方面范围。
• label: 一个string特征，显示方面范围的极性。
• ordinal: 一个int64特征，显示文本中范围的第n次出现。这对于同一文本中多次出现的范围很有用。

数据拆分

名称	训练集	测试集
tomaarsen/setfit-absa-semeval-restaurants	3693	1134

引用信息

bibtex @inproceedings{pontiki-etal-2014-semeval, title = "{S}em{E}val-2014 Task 4: Aspect Based Sentiment Analysis", author = "Pontiki, Maria and Galanis, Dimitris and Pavlopoulos, John and Papageorgiou, Harris and Androutsopoulos, Ion and Manandhar, Suresh", editor = "Nakov, Preslav and Zesch, Torsten", booktitle = "Proceedings of the 8th International Workshop on Semantic Evaluation ({S}em{E}val 2014)", month = aug, year = "2014", address = "Dublin, Ireland", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/S14-2004", doi = "10.3115/v1/S14-2004", pages = "27--35", }

搜集汇总

背景与挑战

背景概述

该数据集包含餐厅评论的方面级情感分析标注数据，适用于训练和评估情感分析模型。数据集中每条评论标注了特定方面及其情感极性（正面、负面或中性），可用于研究餐厅服务、食物等方面的用户情感倾向。