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--- |
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language: |
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- en |
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license: apache-2.0 |
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task_categories: |
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- text-classification |
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tags: |
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- binary-analysis |
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- file-type-detection |
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- mime-type |
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- magic-bytes |
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- cybersecurity |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Magic-BERT Binary File Classification Dataset |
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This dataset contains tokenized binary file samples for training MIME type classification models. |
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Each sample is a 64KB chunk from the beginning of a file, tokenized using a byte-level BPE tokenizer. |
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## Dataset Description |
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- **Total Samples:** 46,450 |
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- **Number of Classes:** 125 |
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- **Sequence Length:** 999999 |
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- **Vocabulary Size:** 32,768 |
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### Splits |
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| Split | Samples | |
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|-------|---------| |
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| Train | 37,111 | |
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| Validation | 4,591 | |
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| Test | 4,748 | |
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## Features |
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Each sample contains: |
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| Feature | Type | Description | |
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|---------|------|-------------| |
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| `blake2b` | string | Content hash (unique sample ID) | |
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| `mime_type` | string | MIME type label | |
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| `source_path` | string | Original file path | |
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| `source_root` | string | Dataset source | |
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| `extension` | string | File extension | |
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| `source_size_bytes` | int64 | Original file size | |
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| `sample_bytes` | int32 | Sample size (max 64KB) | |
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| `tokens` | List[int32] | Tokenized input (999999 tokens) | |
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## MIME Type Distribution (Top 20) |
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| MIME Type | Count | Percentage | |
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|-----------|-------|------------| |
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| application/octet-stream | 2,000 | 4.3% | |
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| application/vnd.ms-powerpoint | 2,000 | 4.3% | |
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| audio/flac | 2,000 | 4.3% | |
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| text/x-c | 2,000 | 4.3% | |
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| text/plain | 1,999 | 4.3% | |
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| image/png | 1,964 | 4.2% | |
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| application/gzip | 1,574 | 3.4% | |
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| image/svg+xml | 1,486 | 3.2% | |
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| text/html | 1,454 | 3.1% | |
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| application/vnd.ms-excel | 1,380 | 3.0% | |
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| application/javascript | 1,340 | 2.9% | |
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| application/x-7z-compressed | 1,200 | 2.6% | |
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| image/gif | 1,156 | 2.5% | |
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| text/csv | 1,128 | 2.4% | |
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| image/webp | 1,014 | 2.2% | |
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| application/zlib | 987 | 2.1% | |
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| text/x-lisp | 980 | 2.1% | |
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| application/x-gettext-translation | 965 | 2.1% | |
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| text/x-c++ | 800 | 1.7% | |
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| application/zstd | 781 | 1.7% | |
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