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- schema.json: JSON Schema for scene description entries (song, artist, beat, timestamp, duration_seconds, lyric_line, scene with mood/colors/composition/camera/description) - validate.py: CLI validator for JSONL files (no jsonschema dependency, manual fallback). Validates all fields, types, ranges, empty values. - .gitea/workflows/validate-training-data.yml: CI check on PR Tested: 100/100 entries in scene-descriptions-r&b-soul.jsonl pass. Closes #647
25 lines
526 B
YAML
25 lines
526 B
YAML
name: Validate Training Data
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on:
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pull_request:
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paths:
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- 'training/data/**/*.jsonl'
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- 'training/data/**/schema.json'
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- 'training/data/**/validate.py'
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jobs:
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validate:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11'
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- name: Validate scene description JSONL
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run: |
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cd training/data/scene-descriptions
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python3 validate.py *.jsonl
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