Datasets for Crowd-based Requirements Engineering and aspect-based detection of learning-centered emotion from the text in Serbian language
<h1>Datasets for the paper "Enhancing Software and Learning with Serbian Student Feedback Corpora"</h1> <p>These datasets include student feedback on an Intelligent Tutoring System written in Serbian, annotated with categories for Crowd-based Requirements Engineering (CrowdRE) and aspect-based detection of learning-centered emotions. Four annotators manually annotated each sentence. </p> <p>The CrowdRE dataset includes two JSON files:</p> <ul> <li><strong>crowdre_english.json</strong> - annotated text with columns and classes written in English. Columns are: <ul> <li><em>Comment</em> - the entire student feedback</li> <li><em>Sentence</em> - sentence extracted from the feedback that was annotated</li> <li><em>Intention </em>- class representing the intention of the sentence</li> <li><em>Topic </em>- class representing the topic of the sentence</li> </ul> </li> <li><strong>crowdre_srpski.json</strong> - annotated text with columns and classes written in Serbian. Columns are:<br> <ul> <li><em>Komentar</em> - the entire student feedback</li> <li><em>Recenica </em>- sentence extracted from the entire feedback that was annotated</li> <li><em>Namera </em>- class representing the intention of the sentence</li> <li><em>Tema </em>- class representing the topic of the sentence.</li> </ul> </li> </ul> <p>The dataset for the aspect-based detection of learning-centered emotions includes two JSON files:</p> <ul> <li><strong>emotions_english.json </strong>- annotated text with columns and classes written in English. Columns are: <ul> <li><em>Comment </em>- the entire student feedback</li> <li><em>Sentence </em>- sentence extracted from the feedback that was annotated</li> <li><em>Aspect </em>- class representing the aspect of the sentence</li> <li><em>Emotion </em>- class representing the learning-centered emotion of the sentence</li> </ul> </li> <li><strong>emocije_srpski.json </strong>- annotated text with columns and classes written in Serbian. Columns are: <ul> <li><em>Komentar </em>- the entire student feedback</li> <li><em>Recenica</em> - sentence extracted from the entire feedback that was annotated</li> <li><em>Aspekt</em> - class representing the aspect of the sentence</li> <li><em>Emotion </em>- class representing the learning-centered emotion of the sentence.</li> </ul> </li> </ul> <p>Annotators annotated the dataset based on the annotation procedure and guidelines available <a href="https://github.com/Clean-CaDET/student-feedback-mining">here</a>. </p> <h2>Citation</h2> <p>If you use this in your research, please cite:</p> <blockquote> <p>Vidaković, D., Luburić, N., Kovačević, A., & Slivka, J. Enhancing software and learning with Serbian student feedback corpora. Language Resources & Evaluation (2025). https://doi.org/10.1007/s10579-025-09855-y</p> </blockquote> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
Topics
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