HANS: A Handwritten Answer Sheet Dataset for Noisy Hybrid Document Parsing
[Sztuczna inteligencja] Autorzy: Xiazhen Wu, Wansong Qin, Yangbin Zheng i 5 więcej
Intelligent grading and automated scoring technologies constitute critical infrastructure for smart education. However, existing document parsing and handwriting recognition benchmarks are predominantly designed for well-structured printed documents or isolated mathematical expressions, lacking datasets that capture the complex characteristics inherent to student answer sheets, including multi-line derivation processes, heterogeneous mixtures of text and mathematical formulae, and noise artifacts such as strikethroughs. To address this gap, we introduce HANS, the first dataset explicitly constructed for real-world educational scenarios, encompassing mathematical expressions, natural language text, hand-drawn tables, and diverse noise patterns including corrections and deletions, accompanied by fine-grained annotations that establish a reliable foundation for robust recognition research.…
- Kategoria arxiv
- cs.AI
- Kategoria
- Sztuczna inteligencja