KeepaceAI/MoveBench-Rubrics

MoveBench Rubrics and Answer Keys

An annotation-only companion to KeepaceAI/MoveBench.

This separate dataset contains annotations for the existing 80 public questions: 30 multiple-choice answer keys and 464 rubric criteria across 50 open-ended questions. Join records to the original questions using problem_id. This repository does not repeat question text or choices and does not include open-ended reference answers. The original questions-only dataset remains unchanged.

Original questions · Paper · GitHub

Usage

from datasets import load_dataset

questions = load_dataset("KeepaceAI/MoveBench", split="test")
annotations = load_dataset("KeepaceAI/MoveBench-Rubrics", split="test")
annotations_by_id = {row["problem_id"]: row for row in annotations}
for question in questions:
    annotation = annotations_by_id[question["problem_id"]]
    # Generate model answers from question inputs only.
    # Use annotation["rubric"] or annotation["answer_key"] for evaluation.

Do not pass answers or rubrics to the student model when generating evaluation responses.

Expert contribution and rubric development

The released rubrics have been reviewed and calibrated by sports-domain experts to clarify item-specific assessment requirements.

According to the project team's production records, 26 experts contributed to the full 809-question benchmark over 20 days, with 2,912 expert-hours across question drafting, answer writing, review, re-review and inclusion in the benchmark. The team comprises 17 experts and contributors affiliated with Keep, Beijing, China, and 9 affiliated with Capital University of Physical Education and Sports, Beijing, China. These figures refer to the entire project, not solely rubric writing or the 80-question release. They do not imply that all 26 experts reviewed every item.

The team reports 2,059,649 characters of project material, approximately 2,546 characters and 3.6 expert-hours per question. These are project-reported production statistics, not independently audited measurements.

The published methodology combines scenario-specific question and rubric drafting, automated quality checks, and expert review. Criteria articulate assessable requirements such as goal alignment, exercise selection, clarity, and safety. Review considers question clarity, answer/rubric consistency, scientific validity and safety; items may be revised or excluded before inclusion.

Expert team and affiliations

The MoveBench team comprises 26 experts and contributors: 17 affiliated with Keep and 9 affiliated with Capital University of Physical Education and Sports

Participation

If you'd like to evaluate your model's capabilities in sports and health-related scenarios using the full MoveBench benchmark of 809 questions, we invite you to participate in our evaluation program. Our team of sports science professionals will provide a comprehensive evaluation report, free of charge, offering insights into your model's performance. Interested? Contact us at benchmarkcontact@keep.com.

Scope, license and limitations

The full project contains 809 questions; this companion annotates only the existing 80-question public subset. Published answers and rubrics make this an exposed research/development resource, not an unseen held-out test. Disclose prior exposure and benchmark-specific optimization. The materials are not medical advice or evidence of deployment safety.

Questions and rubrics originate from the company repository's public release. Descriptions and scores are preserved; MCQ answer labels are normalized to lists. All content here is licensed under CC BY 4.0; credit MoveBench Team and cite the paper. The paper itself has a separate license.

中文说明

这是独立的答案与评分标准数据集，不重复发布题干。包含原公开 80 题的题号、30 道选择题答案、50 道开放题的 464 条 rubric。通过 problem_id 与原始题库关联；不含开放题参考答案。专家人数和工时为完整 809 题项目整体投入。

本数据集中的 rubric 已经过运动领域专家审核与校准，针对每道开放题明确评分要求，覆盖任务完成质量、科学性、可执行性及安全边界等方面，支持研究者检查和理解评分依据。专家审核与校准不等同于临床验证或对模型部署安全性的认证。

原题干与选项请见 MoveBench 题目集，使用 problem_id 对齐：选择题读取 answer_key，开放题读取 rubric。模型生成回答时只输入题目及选项，不应将答案或 rubric 一并提供给被测模型。

完整 809 题项目由 26 位专家与贡献者参与，其中 **17 位来自 Keep ，9 位来自首都体育学院 **。项目历时 20 天，投入 2,912 专家工时。