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Small edits (#576)
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@@ -302,7 +302,7 @@ You can work with datasets in **Offline Mode**, in which all the data and logs a
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which can later be uploaded to the [ClearML Server](../deploying_clearml/clearml_server.md).
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You can enable offline mode in one of the following ways:
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* Before creating a dataset, use [`Dataset.set_offline()`](../references/sdk/dataset.md#datasetsetoffline) and set the
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* Before creating a dataset, use [`Dataset.set_offline()`](../references/sdk/dataset.md#datasetset_offline) and set the
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`offline_mode` argument to `True`:
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```python
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@@ -331,7 +331,7 @@ ClearML Task: Offline session stored in /home/user/.clearml/cache/offline/b78684
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Note that in offline mode, any methods that require communicating with the server have no effect (e.g. `squash()`,
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`finalize()`, `get_local_copy()`, `get()`, `move_to_project()`, etc.).
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Upload the offline dataset to the ClearML Server using [`Dataset.import_offline_session()`](../references/sdk/dataset.md#datasetimportofflinesession).
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Upload the offline dataset to the ClearML Server using [`Dataset.import_offline_session()`](../references/sdk/dataset.md#datasetimport_offline_session).
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```python
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Dataset.import_offline_session(session_folder_zip="<path_to_offline_dataset>", upload=True, finalize=True")
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