diff --git a/docs/hyperdatasets/webapp/webapp_datasets_frames.md b/docs/hyperdatasets/webapp/webapp_datasets_frames.md index 93b84273..b40a20a9 100644 --- a/docs/hyperdatasets/webapp/webapp_datasets_frames.md +++ b/docs/hyperdatasets/webapp/webapp_datasets_frames.md @@ -4,7 +4,7 @@ title: Working with Frames View and edit SingleFrames in the Dataset page. After selecting a Hyper-Dataset version, the **Version Browser** shows a sample of frames and enables viewing SingleFrames and FramesGroups, and editing SingleFrames, in the [frame viewer](#frame-viewer). -Before opening the frame viewer, you can filter the frames by applying [simple](#simple-frame-filtering) or [advanced](#advanced-frame-filtering) +Before opening the frame viewer, you can filter the frames by applying [simple](webapp_datasets_versioning.md#simple-frame-filtering) or [advanced](webapp_datasets_versioning.md#advanced-frame-filtering) filtering logic. ![Dataset page](../../img/hyperdatasets/web-app/dataset_versions.png) @@ -68,7 +68,7 @@ Use frame viewer controls to navigate between frames in a Hyper-Dataset Version, **To view / edit a frame in the frame editor** -1. Locate your frame by applying a [simple frame filter](#simple-frame-filtering) or [advanced frame filter](#advanced-frame-filtering), and clicking **LOAD MORE**, if required. +1. Locate your frame by applying a [simple frame filter](webapp_datasets_versioning.md#simple-frame-filtering) or [advanced frame filter](webapp_datasets_versioning.md#advanced-frame-filtering), and clicking **LOAD MORE**, if required. 1. Click the frame thumbnail. The frame editor appears. 1. Do any of the following: * View frame details, including: diff --git a/docs/webapp/pipelines/webapp_pipeline_viewing.md b/docs/webapp/pipelines/webapp_pipeline_viewing.md index 7d894a82..cd02cd7b 100644 --- a/docs/webapp/pipelines/webapp_pipeline_viewing.md +++ b/docs/webapp/pipelines/webapp_pipeline_viewing.md @@ -15,7 +15,7 @@ Each step shows: * Step status * Step execution time * Step log button - Hover over the step and click console - to view the step’s [console log and code](#run-and-step-log) + to view the step’s [details panel](#run-and-step-details-panel) While the pipeline is running, the steps’ details and colors are updated.