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4 Data Sets

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1. Speaker Accent Recognition: Data set featuring single English words read by speakers from six different countries for accent detection and recognition

2. Student Performance: Predict student performance in secondary education (high school).

3. Higher Education Students Performance Evaluation Dataset: The data was collected from the Faculty of Engineering and Faculty of Educational Sciences students in 2019. The purpose is to predict students' end-of-term performances using ML techniques.

4. Sports articles for objectivity analysis: 1000 sports articles were labeled using Amazon Mechanical Turk as objective or subjective. The raw texts, extracted features, and the URLs from which the articles were retrieved are provided.