## Summary
- Follow-up to #391 — adds an **Existing benchmark datasets** table to
`Documentation/ModelConversion.md`
- Documents all 11 datasets already available in FluidAudio
(LibriSpeech, FLEURS, AISHELL-1, Earnings22, Buckeye, VOiCES, MUSAN,
AMI-SDM, VoxConverse, CharsiuG2P, text normalization) with domain, size,
format, and download location
- Notes that most CLI commands auto-download datasets, and explains
when/how to add new ones
- Updates the checklist to reference the dataset table
## Context
PR #391 added the model conversion guide but didn't mention the existing
benchmark datasets. Contributors and coding agents should use the
existing datasets for benchmarking rather than creating new ones unless
a domain gap exists.
## Test plan
- [x] Verify all dataset names, sizes, and paths match the current
codebase
- [ ] Review table formatting renders correctly on GitHub
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## Summary
- Adds `Documentation/ModelConversion.md` — an end-to-end guide for
converting models to CoreML and integrating them into FluidAudio
- Covers both stages: mobius (conversion + HuggingFace upload) and
FluidAudio (registration, inference code, CLI, tests)
- Includes checklists for both repositories so nothing gets missed
- Intended audience: contributors and coding agents working on new model
integrations
## Test plan
- [ ] Review documentation for accuracy against current codebase
patterns
- [ ] Verify all referenced file paths and code patterns match the repo
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Alex
