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2025-02-11 10:58:29 +02:00
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@@ -11,10 +11,11 @@ In Machine Learning, you are very likely dealing with a gargantuan amount of dat
which you then need to be able to share, reproduce, and track.
ClearML Data Management solves two important challenges:
- Accessibility - Making data easily accessible from every machine,
- Accessibility - Making data easily accessible from every machine
- Versioning - Linking data and tasks for better **traceability**.
![Dataset lineage and preview](../img/webapp_dataset_lineage_preview.png)
![Dataset preview](../img/webapp_dataset_preview.png#light-mode-only)
![Dataset preview](../img/webapp_dataset_preview_dark.png#dark-mode-only)
**We believe Data is not code**. It should not be stored in a git tree, because progress on datasets is not always linear.
Moreover, it can be difficult and inefficient to find on a git tree the commit associated with a certain version of a dataset.