Known Issues
These known issues have been identified in Data Labeling.
See also Troubleshooting Data Labeling.
Prefix matching a file name causes Needs Attention state
- Details
- The prefix for a file name is used for "starts with" searches and not for exact matches. If any file has a name that matches the prefix exactly, the record generation fails, and the dataset goes to a state of "Needs Attention" after the Generate Records action finishes.
- Workaround
- Change the prefix or file name in object storage. Upload the new files to the dataset and generate the records again.
List Records only returns 1000 entries
- Details
List Recordsreturns no more than 1000 entries in a single API call.- Workaround 1
- If you need to fetch more than 1000 records, use multiple API calls.
- Workaround 2
- If you are looking for a particular record, include the name of it using the
nameparameter. - Workaround 3
- If you want a count of the records, you can get it by calling
Summarize RecordsAPI for that compartment and dataset.
Labels cannot be seen if you zoom in too much
- Details
- For entity extraction classification, if you zoom in too much, the label and text overlap.
- Workaround
- Zoom out until you can clearly see the labels.
Cannot indicate nothing to label with entity extraction or object detection
- Details
- When you classify a piece of text using entity extraction, or classify an image using object detection, you cannot indicate that there is nothing to label. By not labeling such a piece of text or image, it is considered an unlabeled record, not a record with nothing to label.
- Workaround
- We're working on a resolution.
Files with a file extension in capital letters are not recognized
- Details
- Files with a file extension in capital letters are not recognized.
- Workaround
- Use lower case for the file extensions. For example,
file.jpg, notfile.JPG.