Opendatabay APP

Common Chord Progressions Dataset

Education & Learning Analytics

Tags and Keywords

Education

Music

Data

Classification

Nlp

Trusted By
Trusted by company1Trusted by company2Trusted by company3
Common Chord Progressions Dataset Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

This dataset presents 50 common chord progressions, notated using the Roman numeral system where uppercase signifies major chords and lowercase denotes minor chords. Each progression is categorised by its musical style and indicates whether it is transposable. This resource is highly valuable for applications in education and learning analytics, particularly within the field of music, and also serves as a foundational dataset for data visualisation, classification, and Natural Language Processing (NLP) tasks related to musical structure.

Columns

  • Style: This column identifies the musical genre or style associated with each chord progression.
  • Progression: This lists the sequence of chords, expressed in Roman numeral notation, indicating the root and quality (major/minor) of each chord in the progression.
  • Transposable: A boolean indicator specifying if the chord progression can be moved to different keys while maintaining its inherent structure.

Distribution

The dataset is provided as a CSV file. It contains 50 unique chord progressions. Analysis of the 'Style' column reveals that 25% are classified as 'Popular', 25% as 'Rock', and the remaining 49% fall into 'Other' categories. Regarding transposability, 37 (73%) of the progressions are marked as 'true' (transposable), while 10 (20%) are marked as 'false' (not transposable).

Usage

This dataset is ideal for:
  • Music education: Aiding students and teachers in understanding and analysing common chord structures.
  • Music theory research: Exploring patterns and characteristics of popular music progressions.
  • AI and Machine Learning development: Training models for music generation, classification of musical pieces, or pattern recognition.
  • Data visualisation projects: Creating visual representations of musical relationships and structures.
  • Natural Language Processing: Analysing the "grammar" and "syntax" of musical progressions.

Coverage

The data originates from a global region and focuses on widely accepted and common chord progressions, implying a general applicability rather than being limited by specific geographical or time-based factors.

License

CC0

Who Can Use It

  • Music Students and Educators: For learning and teaching fundamental chord theory and analysis.
  • Data Scientists and Machine Learning Engineers: To develop algorithms for music analysis, generation, or classification.
  • Researchers: In fields such as musicology, digital humanities, or computational musicology.
  • Application Developers: To integrate music theory knowledge into educational apps, music composition tools, or interactive learning platforms.
  • Anyone interested in music theory or data analysis: Provides a structured insight into common musical patterns.

Dataset Name Suggestions

  • Common Chord Progressions
  • Roman Numeral Music Chords
  • Musical Progression Dataset
  • Transposable Chord Patterns

Attributes

Original Data Source:Chord Progressions

Listing Stats

VIEWS

0

DOWNLOADS

0

LISTED

17/06/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free