Datasets:
Update README.md
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README.md
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@@ -49,9 +49,10 @@ Please cite the original EMBER paper when using this cleaned release in research
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| `ember_clean_metadata.parquet` | Per-sample metadata: SHA-256, timestamps, malware-related fields when available, quality flags |
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| `ember_unlabeled.npz` | Index file for unlabeled split |
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| `ember_unlabeled_X.npy` | Unlabeled feature matrix with the same 2,099 features |
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| `ember_clean_metadata_unlabeled.parquet` | Metadata for unlabeled samples |
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| `manifest.json` | Versioned manifest with checksums and artifact references |
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## What’s in the dataset?
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## File structure
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```text
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-
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├── ember_clean.npz
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├── ember_clean_X.npy
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├── ember_clean_y.npy
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├── ember_clean_metadata.parquet
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├── ember_unlabeled.npz
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├── ember_unlabeled_X.npy
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├── ember_clean_metadata_unlabeled.parquet
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└── manifest.json
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```
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To open it locally, run:
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```bash
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jupyter notebook
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```
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or, if you use JupyterLab:
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```bash
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jupyter lab
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```
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Make sure to open the notebook from the dataset root directory so that relative file paths resolve correctly.
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| `ember_clean_metadata.parquet` | Per-sample metadata: SHA-256, timestamps, malware-related fields when available, quality flags |
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| `ember_unlabeled.npz` | Index file for unlabeled split |
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| `ember_unlabeled_X.npy` | Unlabeled feature matrix with the same 2,099 features |
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| `ember_unlabeled_y.npy` | Label marker array (`int32`) for the unlabeled split; expected to contain only `-1` values |
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| `ember_clean_metadata_unlabeled.parquet` | Metadata for unlabeled samples |
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| `manifest.json` | Versioned manifest with checksums and artifact references |
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| `ember_cleaned_dataset.ipynb` | Exploration and usage notebook |
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## What’s in the dataset?
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## File structure
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```text
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EMBER_cleaned/
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├── ember_clean.npz
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├── ember_clean_X.npy
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├── ember_clean_y.npy
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├── ember_clean_metadata.parquet
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├── ember_unlabeled.npz
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├── ember_unlabeled_X.npy
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├── ember_unlabeled_y.npy
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├── ember_clean_metadata_unlabeled.parquet
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└── manifest.json
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```
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To open it locally, run:
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```bash
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jupyter notebook ember_cleaned_dataset.ipynb
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```
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or, if you use JupyterLab:
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```bash
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jupyter lab ember_cleaned_dataset.ipynb
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```
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Make sure to open the notebook from the dataset root directory so that relative file paths resolve correctly.
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