aisi-whitebox/sevenllm_qa_en_finetuned_sandbagging_llama_31_8b_instruct

该数据集包含多个字段，如聊天内容(content)、角色(role)、目标(targets)、元数据(metadatas)、分数(scores)、答案(answers)等。元数据字段中包含类别(category)、上下文(other information about the context, 缩写cot)、格式(format)和语言(language)。数据集分为训练集，大小为5782539字节，包含1000个样本。这些信息表明该数据集可能用于某种文本处理或对话系统任务，但具体用途未在README中明确描述。

The dataset includes multiple fields such as chat content (content), role (role), targets (targets), metadata (metadatas), scores (scores), answers (answers), etc. The metadata field contains category (category), context (cot), format (format), and language (language). The dataset is split into a training set, which is 5782539 bytes in size and contains 1000 samples. This information suggests that the dataset may be used for some text processing or conversational system tasks, but the specific purpose is not described in the README.