mlfoundations-dev/instruction_filtering_scale_up_code_base_askllm

该数据集包含多个字段，其中有字符串类型的指令种子(instruction_seed)、来源(source)、分类器推理(classifier_reasoning)、推理(reasoning)和深度搜索解决方案(deepseek_solution)；浮点类型的to_be_used；整型的原始行索引(__original_row_idx)。此外，还有一个嵌套列表字段conversations，包含对话的发送者(from)和内容(value)。数据集分为训练集(train)，包含16000个示例，总大小为772MB。尽管README未提供详细描述，但可以推断这是一个用于自然语言处理或对话系统的数据集。

The dataset includes multiple fields, such as string-typed instruction seed (instruction_seed), source (source), classifier reasoning (classifier_reasoning), reasoning (reasoning), and deepseek solution (deepseek_solution); a float-typed to_be_used; an int-typed original row index (__original_row_idx). Additionally, there is a nested list field conversations, which includes the sender (from) and content (value) of the conversation. The dataset is split into a training set (train) containing 16,000 examples, with a total size of 772MB. Although the README does not provide a detailed description, it can be inferred that this is a dataset for natural language processing or conversational systems.