mlfoundations-dev/instruction_filtering_scale_up_code_base_askllm_4K

该数据集包含多个字段，如指令种子(instruction_seed)、来源(source)、是否使用(to_be_used)、分类器推理(classifier_reasoning)等。这些字段的数据类型包括字符串、浮点数和整数等。数据集分为训练集(train)，包含大约4000个示例，数据大小为301,955,265.75字节。整个数据集的下载大小为126,114,052字节。

The dataset includes multiple fields such as instruction_seed, source, to_be_used, classifier_reasoning, etc. The data types of these fields include string, float, and integer. The dataset is split into a training set (train) with about 4000 examples, with a data size of 301,955,265.75 bytes. The download size of the entire dataset is 126,114,052 bytes.