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docs/hyperdatasets/dataviews.md
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@ -177,7 +177,7 @@ You can retrieve the Dataview frames using [`DataView.to_list()`](../references/
* **ROI query for a single label**
This example uses an ROI query to filter for frames containing at least one ROI with the label `cat`.
This example uses an ROI query to filter for frames containing at least one ROI with the label `cat`:
```python
# Create a Dataview object for an iterator that randomly returns frames according to queries
@ -220,7 +220,7 @@ list_of_frames = myDataView.to_list()
* **ROI query for two specific labels in the same ROI**
This example uses an ROI query to filter for frames containing at least one ROI with both the label `Car` AND the label `partly_occluded`.
This example uses an ROI query to filter for frames containing at least one ROI with both the label `Car` AND the label `partly_occluded`:
```python
# Add a query for a Dataset version
@ -238,7 +238,7 @@ list_of_frames = myDataView.to_list()
* **ROI query for one label AND NOT another (Lucene query)**
This example uses an ROI query to filter for frames containing at least one ROI that has with the label `Car` AND DOES NOT
have the label `partly_occluded`.
have the label `partly_occluded`:
```python
# Add a query for a Dataset version
@ -260,7 +260,7 @@ list_of_frames = myDataView.to_list()
This example uses an ROI query to filter for frames containing at least one ROI with the label `Car` and at least one
ROI with the label `Person`. The example demonstrates using the `roi_queries` parameter of [`DataView.add_multi_query()`](../references/hyperdataset/dataview.md#add_multi_query)
with a list of [`DataView.RoiQuery`](../references/hyperdataset/dataview.md#roiquery) objects.
with a list of [`DataView.RoiQuery`](../references/hyperdataset/dataview.md#roiquery) objects:
```python
myDataview = DataView()
@ -289,8 +289,7 @@ myDataview.add_multi_query(
)
# retrieving the actual SingleFrames / FrameGroups
# you can also iterate over the frames with `
for frame in myDataView.get_iterator():`
# you can also iterate over the frames with `for frame in myDataView.get_iterator():`
list_of_frames = myDataView.to_list()
```
@ -298,7 +297,7 @@ list_of_frames = myDataView.to_list()
#### Querying Multiple Datasets and Versions
This example demonstrates an ROI query filtering for frames containing the ROI labels `car`, `truck`, or `bicycle`
from two versions of one Dataset, and one version of another Dataset.
from two versions of one Dataset, and one version of another Dataset:
```python
# Add queries:
@ -340,7 +339,7 @@ exclude for the Dataview to return the frame.
**Frame queries** match frame meta key-value pairs, ROI labels, or both.
They use the same logical OR, AND, NOT AND matching as ROI queries.
This example demonstrates a frame query filtering for frames containing the meta key `city` value of `bremen`.
This example demonstrates a frame query filtering for frames containing the meta key `city` value of `bremen`:
```python
# Add a frame query for frames with the meta key "city" value of "bremen"