# how to extend an already labeled corpus?

**URL:** <https://support.prodi.gy/t/how-to-extend-an-already-labeled-corpus/1700>\
**Category:** Uncategorized\
**Tags:** usage, ner, solved\
**Created:** [June 25, 2019, 7:54am UTC](https://support.prodi.gy/t/how-to-extend-an-already-labeled-corpus/1700 "2019-06-25T07:54:29Z")\
**Posts on this page:** 1\
**Showing post:** 4

<div class="post-metadata">

**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:** [June 26, 2019, 7:55am UTC](https://support.prodi.gy/t/how-to-extend-an-already-labeled-corpus/1700/4 "2019-06-26T07:55:24Z")

</div>

If your source and desired output format is CoNLL, then yes 🙂 For Prodigy, we tried to come up with a data format and representation that was easy to read, fully JSON-serializable and relatively easy to process and convert to other formats. That's how we ended up with Prodigy's JSONL format.

> [@omrison](#):
>
> do you have a standard converter already written?  
> code snippets? other

Yes, check out this thread:

> [@Ner format to CONLL](https://support.prodi.gy/t/ner-format-to-conll/1153):
>
> I’ve just acquired prodigy to work on a manual ner tagging task. After manually tagging a document, the tool exports the results to a json format, the stantard spacy format. We would like to have this data tagged in the CoNLL format, the column format like so: John PERSON works O for O Microsoft ORGANIZATION Is there an option to do this or should we opt to post-process the json file in order to do so? Thanks in advance

---

_[View the full topic](https://support.prodi.gy/t/how-to-extend-an-already-labeled-corpus/1700)._