Open
Conversation
- Reorganized shape matching task following G-1 template structure - Domain: shape_matching, task_id format: shape_matching_XXXX - Implements 4 shape types: circle, square, triangle, star - Clean structure: core/ and src/ separation - Includes video generation with smooth animation - Follows all vm-dataset coding standards from rules.txt - 9 top-level entries as required - Ready for production use
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This pull request introduces a new "Shape Matching" visual reasoning task to the project. The main additions include a new task generator and configuration, command-line interface for dataset generation, and updates to documentation and module exports. The new task challenges models to move colored shapes into their matching outlines, and supports both image and video outputs.
Shape Matching Task Implementation:
ShapeMatchingTaskclass insrc/shape_matching_task.pythat generates geometric shape matching tasks, including logic for rendering shapes, outlines, and generating animation frames for videos.ShapeMatchingConfigfor task configuration andShapeMatchingGeneratorfor dataset generation, supporting adjustable shape count, size, and optional video output.Command-line Interface:
examples/generate_shape_matching.pyto generate shape matching datasets with configurable parameters (number of samples, shapes, size, output directory, etc.) via command-line arguments.Documentation and Usage:
README.mdwith a detailed section describing the Shape Matching Task, including task description, example usage, configuration options, and output structure.Module Exports:
src/__init__.pyto export the new shape matching classes and prompt function, making them available for import elsewhere in the project.