# Loading from existing datasets error

**URL:** <https://support.prodi.gy/t/loading-from-existing-datasets-error/3866>\
**Category:** Uncategorized\
**Tags:** usage, image, streams\
**Created:** [February 9, 2021, 2:10pm UTC](https://support.prodi.gy/t/loading-from-existing-datasets-error/3866 "2021-02-09T14:10:00Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Gnai](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/gnai/32/1637_2.png) [@Gnai](https://support.prodi.gy/u/Gnai)\
**Post date:** [February 9, 2021, 2:10pm UTC](https://support.prodi.gy/t/loading-from-existing-datasets-error/3866/1 "2021-02-09T14:10:00Z")

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Hello Ines,  
I have been trying to load in our images annotated data from the current existing dataset that is being processed by our labelers. I always get this error :

```python
✘ Error while validating stream: no first example
This likely means that your stream is empty.

```

I actually `db-out` the current dataset being worked on, filter out the accept with a `grep` command, than pass that through a py script to change the `text` values in case they are the same.  
Funny enough, loading from the dataset works with datasets that were created with a `b64` jsonl file, that got encoded previously.  
Is there a way to bypass the encoding and load the dataset that currently is being worked on?  
Thank you

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**Author:** ![ines](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ines/32/3_2.png) [@ines](https://support.prodi.gy/u/ines)\
**Post date:** [February 10, 2021, 1:30am UTC](https://support.prodi.gy/t/loading-from-existing-datasets-error/3866/2 "2021-02-10T01:30:42Z")

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Hi! That message means that there are no new examples available for annotation, which could be caused by different things: for example, if there's no `"image"` value in the data, or if all examples in the stream have already been annotated in the current dataset (in which case Prodigy skips them so you're not being asked the same question twice). So if you're re-annotating examples, make sure you're using a new dataset.
