Datasets › FFT-75
FFT-75
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
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Tasks archive 2025-07-28
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License archive 2025-07-28
Modalities archive 2025-07-28
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Languages archive 2025-07-28
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Variants archive 2025-07-28
- FFT-75
1 variant name, as the archive lists them.
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