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Music & Arts Fine-Tuning Dataset

Music theory, composition, art history, creative arts

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$19 for the dataset. Training is priced separately by model, starting at $47.

What is in this dataset

938 instruction-response pairs covering music theory, composition, art history, creative arts. Each pair is a realistic question with a full written answer, in the JSONL format used for supervised fine-tuning. No synthetic filler, no duplicated rows.

Example pairs

Real rows from the dataset, shown in full.

Explain the difference between a major and minor chord in music theory. Provide an example of each on a piano keyboard.

A major chord consists of a root note, a major third (four semitones above the root), and a perfect fifth (seven semitones above the root). It sounds bright and happy. For example, C major is C-E-G (C to E is a major third, C to G is a perfect fifth). A minor chord uses a minor third (three semitones above the root) instead of a major third, giving it a sad or somber tone. C minor is C-Eb-G (C to Eb is a minor third). On a piano, play C, E, G together for C major, and C, Eb, G for C minor.

Describe the composition technique of 'call and response' and give a musical example from a well-known piece.

Call and response is a compositional technique where a phrase (the 'call') is answered by another phrase (the 'response'), often with variation. It creates dialogue and structure. A classic example is in the blues or gospel music, such as in the song 'Swing Low, Sweet Chariot,' where the lead singer calls 'Swing low, sweet chariot' and the choir responds 'Coming for to carry me home.' In classical music, it appears in Beethoven's Symphony No. 5, where the famous short-short-short-long motif is answered by a descending phrase.

Analyze the use of chiaroscuro in Caravaggio's painting 'The Calling of Saint Matthew' and its emotional impact.

Chiaroscuro, the strong contrast between light and dark, is central to Caravaggio's 'The Calling of Saint Matthew.' A beam of light enters from a high window, illuminating Christ's hand and Matthew's face, while the rest of the room is shrouded in darkness. This technique creates a dramatic, almost theatrical effect, emphasizing the divine intervention and Matthew's moment of spiritual awakening. The darkness suggests the sinfulness or ignorance of the world, while the light symbolizes grace and revelation. The emotional impact is one of tension and awe, drawing the viewer into the sacred moment.

Who this is for

Music and art education tools covering theory, history, and technique.

Which models this works with

The dataset is plain JSONL, so it works with any instruction-tuned open model. On Rebiha you can train it directly on:

Training uses LoRA, or QLoRA on a 4-bit base for larger models. Your base model's weights are never modified — training produces a separate adapter.

How it works

  1. Pick this dataset and a base model.
  2. Rebiha runs the job on a managed GPU. You set up nothing.
  3. Download your model: a ready-to-run GGUF, plus developer assets (adapter, tokenizer, configs).

Fine-tuning or RAG?

Use RAG when the model needs facts that change — your prices, your documents, today's inventory. Use fine-tuning when you want consistent style and structure without prompting for it every time. This dataset teaches the shape of a good answer in this domain, not facts to look up.

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