A Chinese Multimodal Dataset for Music Theory Knowledge Generation

Measurement units adhere to musical conventions, such as "M:3/4" denoting three quarter-note beats per measure and "A4" corresponding to standard 440Hz pitch. Notational errors are maintained below 0.7%, primarily originating from transposition marking inconsistencies (e.g., equivalent representations of "Bb" and "A#"), which were standardized through modal normalization rules.Utilizing UTF-8 encoded JSON format, the dataset is compatible with mainstream analytical tools (e.g., Python's json module, Pandas library).

For ABC notation-specific symbols (e.g., "^F" indicating F♯), the dataset includes a comprehensive symbol reference table (containing over 1,200 terms) and enforces syntactic consistency through regular patterns (e.g., r"[_^=]?[A-Ga-g][#b]?[0-9]?"). Traditional Chinese music ornamentation markers (e.g., "~" for portamento) feature extended annotation fields detailing performance techniques.

The dataset has undergone three-tier quality validation: primary (automated rule filtering), intermediate (cross-model consistency checking), and advanced (expert sampling review), achieving 96.5% text-score alignment accuracy and 98.2% terminological translation precision.