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pollfly
2022-09-22 09:42:44 +03:00
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docs/hyperdatasets/dataviews.md
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@@ -368,7 +368,7 @@ myDataView.add_query(
ROI label translation (label mapping) enables combining labels for training, combining disparate datasets, and hiding
certain labels for training.
This example demonstrates consolidating two disparate Datasets. Two Dataset versions use `car` (lower case "c"), but a
This example demonstrates consolidating two disparate Datasets. Two Dataset versions use `car` (lower case "c"), but the
third uses `Car` (upper case "C").
The example maps `Car` (upper case "C") to `car` (lower case "c").

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docs/hyperdatasets/overview.md
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@@ -3,7 +3,7 @@ title: Hyper-Datasets
---
ClearML's Hyper-Datasets are an MLOps-oriented abstraction of your data, which facilitates traceable, reproducible model development
through parametrized data access and meta-data version control.
through parameterized data access and meta-data version control.
The basic premise is that a user-formed query is a full representation of the dataset used by the ML/DL process.
@@ -24,9 +24,9 @@ A Hyper-Dataset is composed of the following components:
* [Datasets and Dataset Versions](dataset.md)
* [Dataviews](dataviews.md)
These components interact in a way that enables revising data and tracking and accessing all of its version.
These components interact in a way that enables revising data and tracking and accessing all of its versions.
Frames are the basics units of data in ClearML Enterprise. SingleFrames and FrameGroups make up a Dataset version.
Frames are the basic units of data in ClearML Enterprise. SingleFrames and FrameGroups make up a Dataset version.
Dataset versions can be created, modified, and removed. The different version are recorded and available,
so experiments, and their data are reproducible and traceable.

16
docs/hyperdatasets/webapp/webapp_datasets.md
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@@ -12,22 +12,22 @@ The Datasets page offers the following functionalities:
## Dataset Cards
Dataset cards show summary information about versions, frames, and labels in a Dataset, and the elapsed time since the Dataset was last update and the user doing the update.
Dataset cards allow you to open a specific Dataset to perform Dataset versioning and frames management.
Dataset cards show summary information about versions:
* Dataset name
* Elapsed time since the last update. Hover over elapsed time and view date of last update.
* User updating the Dataset
* If the dataset contains dataset-level metadata, the card displays the <img src="/docs/latest/icons/ico-status-completed.svg" alt="Check mark" className="icon size-md space-sm" />
`Metadata` indicator, which is also a shortcut to [edit the Dataset's metadata](#editing-dataset-level-metadata)
* The number of versions in the Dataset
* The total number of frames in all versions of the Dataset. If an asterisk (\*) appears next to **FRAMES**, then you can hover it and see the name of the version whose frames were last updated appears.
* The percentage of frames annotated in all versions of the Dataset. If an asterisk (\*) appears next to **ANNOTATED**, then you can hover it and see the name of the version whose frames were last annotated appears.
* The total number of frames in all versions of the Dataset. If an asterisk (\*) appears next to **FRAMES**, then you can hover over it and see the name of the version whose frames were last updated.
* The percentage of frames annotated in all versions of the Dataset. If an asterisk (\*) appears next to **ANNOTATED**, then you can hover over it and see the name of the version whose frames were last annotated.
* If the Dataset version's status is *Published*, then the Dataset's top labels appear (colors are editable). If the
Dataset version is *Draft*, then no labels appear.
Dataset cards allow you to open a specific Dataset to perform Dataset versioning and frames management.
:::note Change Label Color
To change the label color coding, hover over a label color, click thr hand pointer, and then select a new color.
To change the label color coding, hover over a label color, click the hand pointer, and then select a new color.
:::
### Renaming a Dataset
@@ -59,8 +59,8 @@ Create a new Dataset which will contain one version named `Current`. The new ver
* In **RECENT**, choose either:
* **RECENT** - Most recently update of the Datasets.
* **NAME** - Alphabetically sort by Dataset name.
* **RECENT** - Sort by update time
* **NAME** - Sort alphabetically by Dataset name.