Weni/WeniEval-Benchmark-2.0.0

该数据集包含了多个字段，如内容(content)、上下文元数据(context_metadata)、问题(question)、问题类型(type_question)、特征类型(type_feature)、名称(name)、职业(occupation)、指令(instructions)、聊天机器人目标(chatbot_goal)、形容词(adjective)、数据类别(data_category)、ID(id)、内容块(chunks_big)、类别(classes)、选择的类别ID(chosen_class_id)、语言(language)、问答数据类别(data_category_QA)和内容基础UUIDs(content_base_uuids)。数据集分为训练集(train)，包含3887个示例，大小为59806261字节。数据集支持多种语言，包括葡萄牙语(pt)和英语(en)。

The dataset includes multiple fields such as content, context metadata, question, question type, feature type, name, occupation, instructions, chatbot goal, adjective, data category, ID, content chunks, classes, chosen class ID, language, QA data category, and content base UUIDs. The dataset is split into a training set (train) with 3887 examples, totaling 59806261 bytes in size. The dataset supports multiple languages, including Portuguese (pt) and English (en).