RUBRIC.md
Grading rubrics for AI output quality
39 documents availableCategories
Recent RUBRIC.md Documents
View all! Project 3: Web APIs & NLP
Defines a binary classification project using Reddit API or PRAW to collect posts from two subreddits and train an NLP classifier.
Judging Rubric
Defines a 100-point scoring rubric for an AI-for-social-good hackathon, covering five criteria with detailed score bands and tie-breaking rules.
rawrubric
Provides a weighted scoring rubric to evaluate repositories for kernel and OS primitives, classifying them from kernel-grade to application-level.
Hook Rubric (score out of 10)
Scores video hooks on six dimensions and provides a timed script template for agency-to-SaaS messaging.
Sprint 0 Marking Scheme
Provides a grading rubric for a Sprint 0 deliverable, scoring summary, competition, backlog, setup, documentation, definition of done, personas, process, and user experience.
Reddit Virality Grading Rubric
Defines a weighted scoring system for predicting Reddit post virality, used by an LLM to grade rumours before simulation.
Sprint 1 Marking Scheme
Provides a detailed marking rubric for Sprint 1 of a software engineering course, covering planning, stand-ups, user stories, Jira tracking, sprint completion, system design, and demo.
Criteria 1: Quality of Exploratory Data Analysis (20%) [20]
Defines a 3-criteria marking rubric for a logistic regression assignment, each with four grade bands and specific descriptors.