File Fragment Type (FFT) - 75 Dataset

This FFT-75 dataset contains randomly sampled, potentially overlapping file fragments from 75 popular file types (see details below). It is the most diverse and balanced dataset available to the best of our knowledge. The dataset is labeled with class IDs and is ready for training supervised machine learning models. We distinguish 6 different scenarios with different granularity and provide variants with 512 and 4096-byte blocks. In each case, we sampled a balanced dataset and split the data as follows: 80% for training, 10% for testing and 10% for validation.

本FFT-75数据集包含了从75种流行文件类型中随机抽取的可能存在重叠的文件片段（具体细节请见下文）。据我们所知，这是最为多样化且均衡的数据集。数据集已标注分类ID，并准备用于训练监督式机器学习模型。我们区分了6种不同粒度的不同场景，并提供512字节和4096字节的块变体。在每种情况下，我们均采集了均衡的数据集，并按如下方式划分数据：80%用于训练，10%用于测试，10%用于验证。