Feat/dataset experiment chaining#301
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Pull Request Overview
This pull request enhances the user experience by enabling dataset-to-experiment chaining, allowing users to launch new experiments directly from dataset visualizations with pre-selected datasets. It also improves code maintainability through better modularization of experiment creation steps.
- Adds a "New Experiment" button to dataset visualization pages that navigates to experiments with pre-selected dataset
- Refactors experiment step rendering into a reusable utility function with dynamic step configuration
- Implements conditional step flow that skips dataset selection when a dataset is pre-selected
Reviewed Changes
Copilot reviewed 5 out of 5 changed files in this pull request and generated 3 comments.
Show a summary per file
| File | Description |
|---|---|
| Experiments.jsx | Adds dataset state management and modal initialization from navigation state |
| DatasetVisualization.jsx | Adds "New Experiment" button that navigates with dataset context |
| renderStep.js | New utility function for dynamic step rendering based on step names |
| SetNameAndTaskStep.jsx | Removes dataset reset behavior to preserve pre-selected datasets |
| NewExperimentModal.jsx | Major refactor supporting pre-selected datasets and dynamic step configuration |
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cristian-tamblay
approved these changes
Sep 25, 2025
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This pull request refactors the experiment creation flow to support pre-selecting a dataset and improves code maintainability by modularizing step rendering. It also enhances the user experience by allowing users to launch a new experiment directly from the dataset visualization page, with the selected dataset automatically passed to the experiment creation modal.
User Experience Enhancements
Code Quality and Consistency
NewExperimentModal.jsx, streamlining the component.