GENIE, which stands for GENeratIve Evaluation, is a system designed to standardize human evaluations across different text generation tasks. It was introduced to produce consistent evaluations that are reproducible over time and across different populations. The system is instantiated with datasets representing four core challenges in text generation: machine translation, summarization, commonsense reasoning, and machine comprehension. For each task, GENIE offers a leaderboard that automatically crowdsources annotations for submissions, evaluating them along axes such as correctness, conciseness, and fluency.