官方服务：
资源简介：
Literature Review
应用场景：
创建时间：
2026-03-10
相关数据集
hatexplain
Hatexplain是一个用于可解释仇恨言论检测的基准数据集，它涵盖了仇恨言论问题的多个方面。数据内容包括英文文本，规模为1万到10万条样本。每条帖子都从三个不同的角度进行标注：基本的3类分类（仇恨、冒犯或正常）、目标群体（帖子中仇恨/冒犯言论的受害者）以及理由（标注决策所依据的帖子部分）。数据采集自Twitter和Gab，经过了标准化处理，并通过众包方式进行标注。Hatexplain支持文本分类
OpenCSG2024-07-19 更新140
Explainable Artificial Intelligence Identifies Key Meteorological Drivers of Extreme Precipitation
Extreme precipitation (EP) poses significant threats to human societies across the Asian monsoon region, yet the complex interplay of meteorological factors driving these events remains poorly underst
科学数据银行2025-09-03 更新80
Interpretable Geotechnical Artificial Intelligence (XGeoT-AI) Application to Demystify Image Recognition of Soil Cracks [Datasets]
Here is the test data for the paper "Interpretable Geoscience Artificial Intelligence (XGeoS-AI): Application to Demystify Image Recognition".
Zenodo2022-11-24 更新20
Explainable AI for Retinoblastoma Diagnosis: Interpreting Deep Learning Models with LIME and SHAP
Retinoblastoma is a rare and aggressive form of childhood eye cancer that requires prompt diagnosis and treatment to prevent vision loss and even death. Deep learning models have shown promising resul
Mendeley Data2024-06-29 更新120
Supplementary materials for systematic sample collection of over 2700 circular economy indicators
Systematic review of over 2700 circular economy indicators. A total of 106 papers were identified from 4 databases (Web of Science, Scopus, ScienceDirect, and PubMed) through PRISMA methodology.
DataverseNO2025-05-05 更新50
