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Description
FalconCode is a large-scale dataset of student programming solutions collected from multiple introductory programming courses. It is designed for research on automatic programming feedback, code understanding, and educational AI, and was curated for SIGCSE 2024. The dataset contains programming assignments, student submissions, and execution results.
Use Cases
Training models for automatic programming feedback based on student submissions.
Research on code understanding and synthesis in an educational context.
Developing AI tutors for introductory programming courses based on assignment and submission data.
Strengths
Described as a 'large-scale' collection from multiple courses.
Includes programming assignments, student submissions, and execution results.
Curated and processed for a major academic conference (SIGCSE 2024).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
Source
Multiple introductory programming courses.
Collection Method
Collected and curated student submissions.
Freshness
Last updated 2025-08-12 17:36:47; freshness should be verified.
License is unknown; users should verify terms of use before downloading.