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# Fish Audio S2 runtime payload

This private Kaggle dataset is generated by `Phorcys.Tools.FishAudioS2RuntimeUploader` for `PHRunner.Kaggle.Service.FishAudioS2`.

Runtime flavor: `LinuxCuda`
Python tag: `python3.10`
Generated UTC: `2026-09-10T02:54:33.1065830+00:00`

The dataset intentionally contains runtime artifacts, not the GGUF model repository by default. Keep the model files in a separate private Kaggle dataset, for example `kaggle-pool-account/fish-audio-s2-v1-5-gguf`.

Top-level runtime directories are uploaded as `.phzip` files by default. This keeps the Kaggle dataset mutation deterministic with `--dir-mode skip` and avoids Kaggle auto-extracting ordinary `.zip` directories during dataset processing. The service kernel extracts the small runtime payload into `/kaggle/working/phorcys_fish_audio_s2_runtime/<dataset-name>` during first activation. Experimental expanded-directory upload is available with `--stage-opaque-archives false`, but the `.phzip` mode remains the safer default for runtime because the virtual environment and vendor tree contain nested directory structures.

Kaggle-side activation example:

```python
import sys
from pathlib import Path
# Try the current Kaggle direct mount first.
runtime_root = Path('/kaggle/input/fish-audio-s2-python-runtime')
if not runtime_root.exists():
    # Newer Kaggle notebooks may expose private datasets under /kaggle/input/datasets/<owner>/<slug>.
    runtime_root = Path('/kaggle/input/datasets/kaggle-pool-account/fish-audio-s2-python-runtime')
sys.path.insert(0, str(runtime_root))
import runtime_bootstrap
runtime_bootstrap.activate(runtime_root)
```

Run `python <runtime-root>/verify_runtime.py` inside a Kaggle notebook when diagnosing import failures. The generated service runner also has an API-download fallback when Kaggle accepts a data source but does not mount it under `/kaggle/input`.