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Create dataset loader creator operations. Auto-activating skill for ML Training.
Passed 20 of 23 test cases with the skill, and 20 of 23 without it.
1 fixed19 passed either way2 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
We are designing a custom dataset loader creator pattern for multi-modal text and audio data using Scikit-Learn and PyTorch. Please supply usable production-grade script code and environment configs, step-by-step execution instructions, best-practice design patterns, and output validation checks to confirm our data pipeline is robust.
| Checked | Without skill | With skill |
|---|---|---|
| The response includes a complete non-truncated PyTorch custom Dataset class and DataLoader implementation. | Passed | Passed |
| The response provides step-by-step execution instructions. | Missed | Passed |
| The response provides environment setup details. | Passed | Passed |
| The response provides explicit validation checks for dataset output batch shapes. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill provides automated assistance for dataset loader creator tasks within the ML Training domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with dataset loader creator" Result: Provides step-by-step guidance and generates appropriate configurations
test cases passed, vs 20 / 23 without
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