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Change terminology (#1028)
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@@ -3,7 +3,7 @@ title: Artifacts Reporting
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---
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The [artifacts.py](https://github.com/allegroai/clearml/blob/master/examples/reporting/artifacts.py) example demonstrates
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uploading objects (other than models) to storage as experiment artifacts.
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uploading objects (other than models) to storage as task artifacts.
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These artifacts include:
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* Pandas DataFrames
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@@ -19,14 +19,14 @@ S3 buckets, Google Cloud Storage, and Azure Storage ([debug sample storage](../.
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is different). Configure ClearML in any of the following ways:
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* In the configuration file, set [`default_output_uri`](../../configs/clearml_conf.md#config_default_output_uri).
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* In code, when [initializing a Task](../../references/sdk/task.md#taskinit), use the `output_uri` parameter.
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* In the **ClearML Web UI**, when [modifying an experiment](../../webapp/webapp_exp_tuning.md#output-destination).
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* In code, when [initializing a task](../../references/sdk/task.md#taskinit), use the `output_uri` parameter.
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* In the **ClearML Web UI**, when [modifying a task](../../webapp/webapp_exp_tuning.md#output-destination).
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When the script runs, it creates an experiment named `artifacts example` in the `examples` project.
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When the script runs, it creates a task named `artifacts example` in the `examples` project.
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ClearML reports artifacts in the **ClearML Web UI** **>** experiment details **>** **ARTIFACTS** tab.
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ClearML reports artifacts in the **ClearML Web UI** **>** task details **>** **ARTIFACTS** tab.
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## Dynamically Tracked Artifacts
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