Top-Tier Research Methods in Management: Level 5 Lossless Knowledge Graph Dataset

This dataset is constructed based on the leading research methodology, Research Methods for Business Students, forming a five-level granular “lossless knowledge graph”-type structured text dataset: The original content is disaggregated across multiple levels—chapters, page numbers, paragraphs, sentences, and keywords. Each record corresponds to a knowledge unit (e.g., sentence, keyword, table, or diagram) while preserving precise positional indices within the source text (chapter_no, page_number, paragraph_index, sentence_index, keyword_index, etc.). This enables complete digital representation without semantic or contextual loss. The dataset includes both complete sentence texts and normalized keyword sequences extracted from sentences. It can be widely applied in teaching business research methods (e.g., questionnaire design examples, content analysis and coding exercises), text mining and natural language processing experiments, knowledge graph and vector retrieval algorithm development, as well as quantitative analysis and visualization modeling around the meta-knowledge domain of “research methods.” The dataset is designed to provide educators and researchers with a machine-readable, structurally transparent, and reproducible benchmark sample to support AI-enhanced teaching, methodological tool validation, and interdisciplinary research.