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Setup repo configuration

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  1. .gitattributes +1 -0
  2. README.md +32 -0
.gitattributes CHANGED
@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ *.pcap filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ pretty_name: "CIC-IDS-2017"
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+ language:
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+ - en
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+ tags:
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+ - cybersecurity
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+ - network
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+ - pcap
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+ - flow
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+ task_categories:
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+ - tabular-classification
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+ configs:
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+ - config_name: machine_learning
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+ data_files: "machine_learning/*.parquet"
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+ - config_name: traffic_labels
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+ data_files: "traffic_labels/*.parquet"
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+ ---
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+
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+ # CIC-IDS-2017 Dataset
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+
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+ This repository contains the [CIC-IDS-2017 dataset](https://www.unb.ca/cic/datasets/ids-2017.html) with the original PCAPs and the CSVs converted to Parquet format for easier use.
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+
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+ ## Dataset Structure
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+
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+ ### Configurations
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+
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+ 1. **`machine_learning`**: Contains the flow-based features used for ML training (Converted from `MachineLearningCVE` CSVs).
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+ 2. **`traffic_labels`**: Contains the labelled flows (Converted from `TrafficLabelling` CSVs).
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+
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+ ### Raw Data
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+
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+ The `pcap/` folder contains the original PCAP files. These are not part of the Hugging Face Dataset Viewer but can be downloaded via Git LFS.