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docs/clearml_data/data_management_examples/data_man_cifar_classification.md
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@@ -74,7 +74,7 @@ In the panel's **CONTENT** tab, you can see a table summarizing version contents
Now that you have a new dataset registered, you can consume it.
The [data_ingestion.py](https://github.com/allegroai/clearml/blob/master/examples/datasets/data_ingestion.py) example
The [data_ingestion.py](https://github.com/clearml/clearml/blob/master/examples/datasets/data_ingestion.py) example
script demonstrates using the dataset within Python code.
```python

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docs/clearml_data/data_management_examples/data_man_folder_sync.md
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@@ -9,7 +9,7 @@ from time to time. When the point of truth is updated, users can call `clearml-d
changes (file addition, modification, or removal) will be reflected in ClearML.
## Prerequisites
1. First, make sure that you have cloned the [clearml](https://github.com/allegroai/clearml) repository. It contains all
1. First, make sure that you have cloned the [clearml](https://github.com/clearml/clearml) repository. It contains all
the needed files.
1. Open terminal and change directory to the cloned repository's examples folder

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docs/clearml_data/data_management_examples/data_man_python.md
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@@ -2,14 +2,14 @@
title: Data Management with Python
---
The [dataset_creation.py](https://github.com/allegroai/clearml/blob/master/examples/datasets/dataset_creation.py) and
[data_ingestion.py](https://github.com/allegroai/clearml/blob/master/examples/datasets/data_ingestion.py) scripts
The [dataset_creation.py](https://github.com/clearml/clearml/blob/master/examples/datasets/dataset_creation.py) and
[data_ingestion.py](https://github.com/clearml/clearml/blob/master/examples/datasets/data_ingestion.py) scripts
together demonstrate how to use ClearML's [`Dataset`](../../references/sdk/dataset.md) class to create a dataset and
subsequently ingest the data.
## Dataset Creation
The [dataset_creation.py](https://github.com/allegroai/clearml/blob/master/examples/datasets/dataset_creation.py) script
The [dataset_creation.py](https://github.com/clearml/clearml/blob/master/examples/datasets/dataset_creation.py) script
demonstrates how to do the following:
* Create a dataset and add files to it
* Upload the dataset to the ClearML Server
@@ -85,7 +85,7 @@ In the panel's **CONTENT** tab, you can see a table summarizing version contents
Now that a new dataset is registered, you can consume it!
The [data_ingestion.py](https://github.com/allegroai/clearml/blob/master/examples/datasets/data_ingestion.py) script
The [data_ingestion.py](https://github.com/clearml/clearml/blob/master/examples/datasets/data_ingestion.py) script
demonstrates data ingestion using the dataset created in the first script.
The following script gets the dataset and uses [`Dataset.get_local_copy()`](../../references/sdk/dataset.md#get_local_copy)

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docs/clearml_data/data_management_examples/data_man_simple.md
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@@ -5,7 +5,7 @@ title: Data Management from CLI
In this example we'll create a simple dataset and demonstrate basic actions on it, using the `clearml-data` CLI.
## Prerequisites
1. First, make sure that you have cloned the [clearml](https://github.com/allegroai/clearml) repository. It contains all
1. First, make sure that you have cloned the [clearml](https://github.com/clearml/clearml) repository. It contains all
the needed files.
1. Open terminal and change directory to the cloned repository's examples folder: