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| -rw-r--r-- | README.md | 29 |
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@@ -144,7 +144,34 @@ languages: Implementations of various change point detection algorithms that use these datasets are available in -[TCPDBench](https://github.com/alan-turing-institute/TCPDBench). +[TCPDBench](https://github.com/alan-turing-institute/TCPDBench). A script to +plot the datasets and detection results from +[TCPDBench](https://github.com/alan-turing-institute/TCPDBench) is also +provided in [utils/plot_dataset.py](tree/master/utils/plot_dataset.py). + +The annotations are included in the +[annotations.json](tree/master/annotations.json) file. They are in the format: + +``` +{ + "<dataset>": { + "annotator_id": [ + <change point index> + <change point index> + ... + ], + ... + }, + ... +} +``` + +where the ``annotator_id`` is a unique ID for the annotator and the change +point indices are +[0-based](https://en.wikipedia.org/wiki/Zero-based_numbering). Please also see +the documentation in +[TCPDBench](https://github.com/alan-turing-institute/TCPDBench) for more +information about using the dataset and benchmark in your own work. ## License |