Indonesian Automated Short Answer Grading (ASAG) data from a Vocational High School context. The dataset likely contains student answers and grading information for a Basic Computer Network course. Its specific scale, authorship, and recency are unknown.
Use Cases
- Training automated short answer grading models based on Indonesian student responses.
- Benchmarking natural language processing models for educational assessment.
- Analyzing common answer patterns and misconceptions in vocational computer networking topics.
Strengths
- Focuses on the Indonesian language, a less common resource in educational NLP.
- Targets a specific, applied educational domain (vocational computer networks).
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Kaggle
- Geography
- Indonesia