# How to modify dataset marked?

**URL:** <https://support.prodi.gy/t/how-to-modify-dataset-marked/6445>\
**Category:** Uncategorized\
**Created:** [March 20, 2023, 12:35pm UTC](https://support.prodi.gy/t/how-to-modify-dataset-marked/6445 "2023-03-20T12:35:42Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Zanejins](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/zanejins/32/3641_2.png) [@Zanejins](https://support.prodi.gy/u/Zanejins)\
**Post date:** [March 20, 2023, 12:35pm UTC](https://support.prodi.gy/t/how-to-modify-dataset-marked/6445/1 "2023-03-20T12:35:42Z")

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I have labeled a data set ner-d3, and now I want to modify some of the previous annotations, what should I do.  
I tried to use the following command, but I think this command is marked again on the basis of the previous one, rather than modified, so I don't know what to do, looking forward to your reply. Thanks

> python -m prodigy ner.correct ner-d3 ./model-best --label MD,GD,D  
> D,RD,PHON

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**Author:** ![ryanwesslen](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ryanwesslen/32/2969_2.png) [@ryanwesslen](https://support.prodi.gy/u/ryanwesslen)\
**Post date:** [March 20, 2023, 12:50pm UTC](https://support.prodi.gy/t/how-to-modify-dataset-marked/6445/2 "2023-03-20T12:50:04Z")

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hi @Zanejins!

> [@Zanejins](#):
>
> I have labeled a data set ner-d3, and now I want to modify some of the previous annotations, what should I do.

Can you describe what you want to modify? Are you only correcting the labels?

Prodigy has a [helpful `dataset:` syntax](https://prodi.gy/docs/api-loaders#datasets) that may help.

> The `dataset:` syntax lets you specify an existing dataset as the input source. Prodigy will then load the annotations from the dataset and stream them in again. [Annotation interfaces](https://prodi.gy/docs/api-interfaces) respect pre-defined annotations and will pre-select them in the UI. This is useful if you want to re-annotate a dataset to correct it, or if you want to add new information with a different interface. The following command will stream in annotations from the dataset `ner_data` and save the resulting reannotated data in a new dataset `ner_data_new` :

```python
python -m prodigy ner.manual ner_data_new blank:en dataset:ner_data --label PERSON,ORG

```

So in your case, you could run something like:

```python
python -m prodigy ner.correct ner-d3-new ./model-best dataset:ner-d3 --label MD,GD,DD,RD,PHON

```
