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<a href="https://github.com/cisco-ie/telemetry" target="_blank"><img src="https://user-images.githubusercontent.com/6020066/29088554-449866a6-7c2e-11e7-9b92-8e2802619122.png"></a>
</p>

> Open-source datasets for anyone interested in working with network anomaly based
> Open-source datasets for anyone interested in working with telemetry-based network anomaly detection,
machine learning, data science and research

## Objective
Our goal is to start with datasets and documentation that are geared to supervised
learning that will allow for development of various models, test and train against
the data set. At some point, we will publish data sets that will carry the same types of anomalies and abnormal behavior that occur "at random" for unsupervised learning.
Our goal is to empower the scientific and research community with datasets gathered from running equipment in real operational environments.

As a first step, we release dataset, ground truth and documentation concerning synthetically injected BGP faults in a Content Service Provider (CSP) network, with and without aggregated traffic of up to 1 Tbps.
Given the presence of manually verified ground truth, these datasetes are geared to both supervised as well as unsupervised learning algorithms.

More complex datasets will also be provided where any number and differing type of
event occurrences, which drives towards more real-life situations and helps us move towards
a greater capability for automation, remediation, and behavior pattern recognition.
a greater capability for automation, remediation, and behavioral pattern recognition.

## Usage
Each datasets include the following:
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