8 Open Issues Need Help Last updated: Dec 28, 2025

Open Issues Need Help

View All on GitHub

AI Summary: This GitHub issue requests the setup and documentation of a robust experiment tracking system for ML training, focusing on configuration, output, and logging. While the existing `train.py` script already captures basic run information and saves results to a JSON file, the task likely involves integrating a dedicated experiment tracking library (e.g., MLflow, W&B) to formalize and enhance this process, followed by comprehensive documentation.

Complexity: 3/5
good first issue

AI Summary: This GitHub issue requests a practical demonstration of how to use the provided `intent_schema.py` for defining model targets and performing validation within an ML training context. The task involves creating an example that illustrates how to structure ML targets according to the schema (e.g., `SongIntent`) and how to apply schema-based validation during the training and evaluation phases.

Complexity: 3/5
good first issue

AI Summary: This GitHub issue requests documentation for the `EmotionalState` class and its application in machine learning labeling. The `EmotionalState` dataclass defines emotional attributes like valence, arousal, and primary/secondary emotions. The documentation should provide an example of how to instantiate an `EmotionalState` object and use it as input for a `model.classify` function to generate labels.

Complexity: 1/5
good first issue

AI Summary: This issue focuses on establishing a comprehensive project timeline. It requires outlining key milestones, setting deadlines, identifying important dates, and defining clear expectations for project deliverables.

Complexity: 2/5
good first issue

AI Summary: This GitHub issue requests the implementation of a data loader for ML training that can extract both emotional and intent metadata from audio samples. An existing `AudioDataset` class is provided as a reference, which currently handles loading audio and emotional metadata, implying the task is to extend this functionality to incorporate intent metadata.

Complexity: 3/5
good first issue

AI Summary: This issue focuses on the foundational project planning, specifically defining the overall scope and objectives. It requires outlining specific goals, timelines, and deliverables to set clear expectations for the project's completion.

Complexity: 4/5
good first issue

AI Summary: This issue focuses on the crucial initial step of project setup: identifying and assigning specific roles to each team member. It also requires clearly defining the responsibilities associated with each assigned role for the current project or task.

Complexity: 2/5
good first issue