DigiGreen/human_curated_qa_dataset

`DigiGreen/human_curated_qa_dataset` 是一个经过人工验证的问答数据集，旨在支持自然语言问答和农业领域对话AI的研究与开发。该数据集包含现实且与领域相关的问答对，这些问答对经过手动整理，以确保答案的准确性和上下文丰富性。数据集可用于问答生成模型的基准测试。数据集包含约1,000个训练样本，格式为表格（CSV/Parquet），主要字段包括问题（question）、高质量人工编写的答案（answer）和农业上下文标签（crop_name，如番茄、水稻、玉米等）。每个问答对都反映了与可持续和再生农业相关的实际问题，并提供了详细的答案。

**`DigiGreen/human_curated_qa_dataset`** is a *human-verified question-answer dataset* designed to support research and development in **natural language question answering** and **agriculture-focused conversational AI**. This dataset contains **realistic, domain-relevant QA pairs** that were manually curated to ensure accurate and contextually rich answers. It can be used to benchmark models for QA generation. The dataset includes ~1,000 examples (training split) in tabular format (CSV/Parquet) with primary fields: `question` (natural language question), `answer` (high-quality human-written answer), and `crop_name` (agriculture context tag, e.g., Tomato, Paddy, Maize). Each QA pair reflects a *practical, domain-aligned question* with a detailed answer that includes insights relevant to sustainable and regenerative agriculture.