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---
name: data-and-config
description: "Prepare and validate StyleTTS2 data lists, OOD text files, config
YAML, and asset paths before training or inference."
disable-model-invocation: true
metadata:
disco-role: operating
license: MIT
---
# data-and-config
Use this sub-skill to check the inputs StyleTTS2 workflows depend on before any stage launch or demo handoff.
## Covers
- train/val list schema, speaker labels, and OOD text files
- 24 kHz audio-root assumptions and validation split handling
- config fields that drive stage selection, checkpoint loading, model layout, and memory use
- safe inspectors:
- [scripts/validate_data_lists.py](scripts/validate_data_lists.py) checks list rows, optional wav existence, speaker ids, and OOD text readiness without training.
- [scripts/inspect_config.py](scripts/inspect_config.py) summarizes high-impact config fields, path semantics, and stage warnings without launching a run.
## Route elsewhere
- Training launches, checkpointed stage progression, and resume behavior: [training sub-skill](../training/SKILL.md)
- Pretrained demo assets, reference-audio handling, and synthesis setup: [inference sub-skill](../inference/SKILL.md)
## Quick checks
- Validate rows and optional file presence before training.
- Inspect a config before editing paths, batch size, decoder type, or checkpoint settings.
- Keep explicit speaker ids in public lists, especially for multispeaker data.
## References
- [Data formats](references/data-formats.md)
- [Configuration guide](references/configuration.md)
- [Troubleshooting](references/troubleshooting.md)
