Datasets:
Setup repo configuration
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- README.md +32 -0
.gitattributes
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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
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README.md
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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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# CIC-IDS-2017 Dataset
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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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## Dataset Structure
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### Configurations
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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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### Raw Data
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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.
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