Datasets › FFT-75

FFT-75

Introduced in FiFTy: Large-scale File Fragment Type Identification using Neural Networks16 Aug 2019 archive 2025-07-28

The FFT-75 dataset contains randomly sampled, potentially overlapping file fragments from 75 popular file types. It is a diverse and balanced dataset which 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.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

CC BY 4.0

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • FFT-75

1 variant name, as the archive lists them.

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