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Get Started Free →Dataset versioning skill using DVC for tracking data changes, managing data pipelines, and ensuring reproducibility.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✗→✓ | ▲ Improved | -30% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 167% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -1% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 579% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -25% | 0% |
Dataset versioning skill using DVC (Data Version Control) for tracking data changes, managing data pipelines, and ensuring reproducibility in ML workflows.
json{ "type": "object", "required": ["action"], "properties": { "action": { "type": "string", "enum": ["init", "add", "push", "pull", "diff", "checkout", "run", "repro"], "description": "DVC action to perform" }, "paths": { "type": "array", "items": { "type": "string" }, "description": "File or directory paths to track" }, "remote": { "type": "string", "description": "Remote storage name" }, "revision": { "type": "string", "description": "Git revision for checkout/diff" }, "pipeline": { "type": "object", "description": "Pipeline stage definition for run action" } } }
json{ "type": "object", "required": ["status", "action"], "properties": { "status": { "type": "string", "enum": ["success", "error"] }, "action": { "type": "string" }, "trackedFiles": { "type": "array", "items": { "type": "string" } }, "changes": { "type": "array", "items": { "type": "object", "properties": { "path": { "type": "string" }, "status": { "type": "string" }, "hash": { "type": "string" } } } }, "remote": { "type": "object", "properties": { "name": { "type": "string" }, "url": { "type": "string" }, "syncStatus": { "type": "string" } } } } }
javascript{ kind: 'skill', title: 'Version training dataset', skill: { name: 'dvc-dataset-versioning', context: { action: 'add', paths: ['data/train.csv', 'data/test.csv'], remote: 's3-bucket' } } }
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