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pollfly
2023-08-09 13:28:25 +03:00
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docs/clearml_data/clearml_data.md
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@@ -45,7 +45,7 @@ ClearML Data supports two interfaces:
- `clearml-data` - A CLI utility for creating, uploading, and managing datasets. See [CLI](clearml_data_cli.md) for a reference of `clearml-data` commands.
- `clearml.Dataset` - A python interface for creating, retrieving, managing, and using datasets. See [SDK](clearml_data_sdk.md) for an overview of the basic methods of the `Dataset` module.
For an overview of our recommendations for ClearML Data workflows and practices, see [Best Practices](best_practices.md).
For an overview of recommendations for ClearML Data workflows and practices, see [Best Practices](best_practices.md).
## Dataset Version States
The following table displays the possible states for a dataset version.

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docs/clearml_data/clearml_data_sdk.md
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@@ -75,7 +75,7 @@ To improve deep dataset DAG storage and speed, dataset squashing was introduced.
class method generates a new dataset by squashing a set of dataset versions, and merging down all changes introduced in
their lineage DAG, creating a new, flat, independent version.
The datasets being squashed into a single dataset can be specified by their IDs or by project & name pairs.
The datasets being squashed into a single dataset can be specified by their IDs or by project and name pairs.
```python
# option 1 - list dataset IDs

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docs/clearml_data/data_management_examples/data_man_python.md
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@@ -94,7 +94,7 @@ dataset_path = Dataset.get(
).get_local_copy()
```
The script above gets the dataset and uses the [`Dataset.get_local_copy`](../../references/sdk/dataset.md#get_local_copy)
The preceding script gets the dataset and uses the [`Dataset.get_local_copy`](../../references/sdk/dataset.md#get_local_copy)
method to return a path to the cached, read-only local dataset.
If you need a modifiable copy of the dataset, use the following code: