DigiGreen/human_preference_eval_dataset

`DigiGreen/human_preference_eval_dataset`是一个人工标注的偏好数据集，支持基于人类偏好和比较性问答评估的模型响应研究和开发。该数据集包含真实的农业问题，每个问题配有两个候选回答和专家关于哪个回答更优的判断。可用于基准测试偏好学习系统、训练奖励模型以及改进与人类对齐的语言生成。数据集包含378个示例，格式为自动转换为Parquet，可通过Hugging Face Dataset Viewer查看。每个示例包含问题、回答A、回答B、专家偏好和理由等字段。

**`DigiGreen/human_preference_eval_dataset`** is a *human-annotated preference dataset* that supports research and development in **evaluating model responses based on human preferences** and **comparative QA assessment**. This dataset contains real agricultural questions paired with *two candidate responses* and *expert judgments* about which response is preferable. It can be used to benchmark preference learning systems, train reward models, and improve human-aligned language generation. The dataset consists of 378 examples, auto-converted to Parquet format, and viewable through the Hugging Face Dataset Viewer. Each example includes fields such as question, response A, response B, expert preference, and reasoning.