# NER document Labeling

**URL:** <https://support.prodi.gy/t/ner-document-labeling/1741>\
**Category:** Uncategorized\
**Tags:** ner, solved\
**Created:** [July 4, 2019, 10:42pm UTC](https://support.prodi.gy/t/ner-document-labeling/1741 "2019-07-04T22:42:04Z")\
**Posts on this page:** 1\
**Showing post:** 4

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**Author:** ![mystuff](https://avatars.discourse-cdn.com/v4/letter/m/a88e4f/32.png) [@mystuff](https://support.prodi.gy/u/mystuff)\
**Post date:** [July 8, 2019, 7:33am UTC](https://support.prodi.gy/t/ner-document-labeling/1741/4 "2019-07-08T07:33:04Z")

</div>

Thank you so much for your prompt reply. Now i have created jsonl file with 100 json content. I am about to annotate by running the manual recipe.

python -m prodigy ner.manual company\_details\_dataset en\_core\_web\_sm your\_converted\_data.jsonl --label COMPANY\_TYPE,COMPANY\_INFORMATION, COMPANY\_NAME,COMPANY\_DEPARTMENT,COMPANY\_ADDRESS,COMPANY\_COUNTRY\_USA,EMAIL,NAME.

But i am getting following error on web ui. I think i need to add my labels to the model. May i know how to add my own lables to the model?

ERROR: can’t fetch tasks. Make sure the server is running correctly.  
Oops, something went wrong ☹

I have followed ["No tasks available" for any text source I give for ner.teach recipe](https://support.prodi.gy/t/no-tasks-available-for-any-text-source-i-give-for-ner-teach-recipe/92/3) but i can not use built-in labels for my task as i have to identify type of the company, categorize different addresses and also different sections of company name like Departments.

LOG:  
File “cython\_src\prodigy\core.pyx”, line 130, in prodigy.core.Controller.get\_questions  
File “cython\_src\prodigy\components\feeds.pyx”, line 58, in prodigy.components.feeds.SharedFeed.get\_questions  
File “cython\_src\prodigy\components\feeds.pyx”, line 63, in prodigy.components.feeds.SharedFeed.get\_next\_batch  
File “cython\_src\prodigy\components\feeds.pyx”, line 147, in prodigy.components.feeds.SessionFeed.get\_session\_stream  
ValueError: Error while validating stream: no first example. This likely means that your stream is empty.  
Task queue depth is 1  
Exception when serving /get\_session\_questions  
Traceback (most recent call last):  
File “cython\_src\prodigy\components\feeds.pyx”, line 140, in prodigy.components.feeds.SessionFeed.get\_session\_stream  
File “C:\anaconda3\lib\site-packages\toolz\itertoolz.py”, line 368, in first  
return next(iter(seq))  
StopIteration  
…

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