A Vietnamese Public-Administration Procedural Question-Answering Benchmark and Retrieval Corpus with Five-Type Administrative Entity Annotations
Abstract
Dataset title: A Vietnamese Public-Administration Procedural Question-Answering Benchmark and Retrieval Corpus with Five-Type Administrative Entity Annotations Related research article: When and Why Entity Grounding Helps Retrieval-Augmented Generation: A Diagnostic Evaluation Framework and an Expert-Verified Benchmark for Low-Resource Procedural Question Answering (submitted to Information Processing & Management). DOI to be added on acceptance. Data Description release/ ├── qa/ │ ├── public_test_200.xlsx # Public split, 200 questions (canonical) │ ├── public_test_200.csv # CSV export (same rows/columns) │ ├── public_test_200_ner.xlsx # + q_entities / a_entities (silver 5-type tags) │ ├── private_test_99.xlsx # Private (held-out) split, 99 questions (canonical) │ ├── private_test_99.csv # CSV export │ └── private_test_99_ner.xlsx # + q_entities / a_entities ├── corpus/ │ ├── corpus_parent.xlsx # 1,946 procedure records (1,942 distinct codes) │ └── corpus_child.xlsx # 11,676 token-level chunks (indexable unit) ├── README.md # full datasheet (columns, join key, splits, scope) └── metadata.json # machine-readable manifest + SHA-256 checksums + schemas
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