AI Puppet Theater Actor SFT: Synthetic Fine-Tuning Data for Compact JSON Responses

Synthetic supervised fine-tuning data teaches a small language model to respond to a single puppet-theater beat with one compact JSON object. The dataset is authored by 'build-small-hackathon' and was last updated on June 15, 2026. It is intended for hackathon prototyping, schema following, and local adapter experiments.

Use Cases

• Fine-tuning small language models for structured JSON output based on the described schema-following purpose.
• Prototyping agent behaviors for interactive puppet-theater applications based on the 'Actor agent' concept.
• Experimenting with local adapter models for constrained response generation based on the dataset's stated intent.
• Testing model adherence to specific JSON schemas in a single-turn context based on the described 'compact JSON object' format.

Strengths

• Data is specifically designed for a clear task: teaching a model to produce a compact JSON response to a single beat.
• Dataset has a defined author ('build-small-hackathon') and a specific last update timestamp (2026-06-15 16:55:46).

Limitations

• Row count, file formats, and column definitions are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is synthetic and intended for prototyping, not for general storytelling or chat applications.

Provenance

Source

huggingface

Collection Method

Synthetic generation, as indicated by 'synthetic supervised fine-tuning data' and 'source_mix' containing 'synthetic_v0'.

Freshness

Last updated 2026-06-15 16:55:46; freshness should be verified.