The Vietnamese Administrative Instruction Dataset is a large-scale benchmark dataset designed for the task of Organization-Task relationship extraction from Vietnamese administrative documents. It addresses the specific challenges of extracting direct responsibilities (“who does what”) from high-density, complex hierarchical documents.

The dataset focuses on "directives" (Chi thị), "decisions," and "official dispatches" that exhibit high structural variability and textual density. It was created to facilitate the development of hybrid information extraction pipelines that combine OCR with Large Language Model (LLM) reasoning.

Dataset Sources

Paper: Contextual Grounding and Iterative Refinement: A Hybrid Framework for Reliable Organization-Task Extraction in Vietnamese Administrative Documents.
Source Data Origin: National Database of Legal Normative Documents (VBPL - Van ban phap luat).

Uses

Direct Use

Relation Extraction: Extracting pairs of (Organization, Task) where the organization is explicitly assigned direct execution responsibility.
OCR Benchmarking: Testing Optical Character Recognition (OCR) systems on high-density administrative layouts with complex hierarchies and tonal marks.
LLM Grounding: Evaluating the ability of Large Language Models to avoid hallucination by anchoring outputs to specific text spans.

Out-of-Scope Use

Indirect Stakeholder Identification: The dataset excludes indirect stakeholders or entities that only receive task outcomes.
General Domain Text: Models trained on this dataset are specialized for legal-administrative text and may not generalize to other domains.

Dataset Structure

The dataset consists of PDF documents and their corresponding annotated Organization-Task relationships.

Statistics

Total Documents: 1,409 PDF files.
Total Pages: 5,812 pages.
Total Data Size: 217.82 MB.
Total Text Volume: ~1.95 million words.
Total Annotations:
- 18,368 total task entries.
- 18,359 unique (Organization, Task) pairs.
Entity Statistics:
- Unique Organizations: 10,458.
- Unique Action Verbs: 4,554.

Document Morphology

Length: Documents range from single-page notices to reports up to 23 pages, with an average length of 4.12 pages.
Density: The average word count is 448.1 words per page, with peak cases reaching 2,291 words per page.
Vertical Coverage: Mean page coverage is 77.42%, indicating dense layouts with minimal whitespace.

Dataset Creation

Curation Rationale

Administrative documents are the backbone of organizational operations, yet extracting “who does what” remains a manual bottleneck. Existing resources for the Vietnamese legal-administrative domain are scarce. This dataset was created to fill that gap and address common failure modes of LLMs such as hallucination and grounding loss when processing long, dense administrative texts.

Source Data

Data Collection and Processing

The corpus was curated from the official National Database of Legal Normative Documents (vbpl.vn), covering a temporal range from 1955 to 2015.

Format: PDF files of directive documents (Chi thị).
Segmentation: The data was split into 194 disjoint sets, normalized by page count (approximately 30–40 pages per set) to manage annotator workload.
Physical Standardization: Pages were standardized to dimensions of (612 \times 792) pixels.

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