# no task available - ner.manual

**URL:** <https://support.prodi.gy/t/no-task-available-ner-manual/6881>\
**Category:** Uncategorized\
**Tags:** ner\
**Created:** [November 6, 2023, 11:13pm UTC](https://support.prodi.gy/t/no-task-available-ner-manual/6881 "2023-11-06T23:13:50Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Rossholdin](https://avatars.discourse-cdn.com/v4/letter/r/aca169/32.png) [@Rossholdin](https://support.prodi.gy/u/Rossholdin)\
**Post date:** [November 6, 2023, 11:13pm UTC](https://support.prodi.gy/t/no-task-available-ner-manual/6881/1 "2023-11-06T23:13:50Z")

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[11-002\_Cleaned.jsonl](https://support.prodi.gy/uploads/short-url/drhOmA0mXLKZfnvc3ncs9YbmcAe.jsonl) (12.3 KB)

When I run through assigning a dataset for annotations and run the ner.manual, it shows as no task available even though I have not done anything. I have tried all the troubleshooting tips I could find. I am getting burned out.

Please help.

Here is the example of bash scripts I am implementing.

$ prodigy db-in product\_specs file\_name  
✔ Created dataset 'product\_specs' in database SQLite  
✔ Imported 185 annotated examples and saved them to  
'product\_specs' (session 2023-11-06\_16-56-20) in database SQLite  
Found and keeping existing "answer" in 0 examples

prodigy ner.manual product\_specs blank:en file\_name --label frllabels.txt  
Using 16 label(s) from frllabels.txt

✨ Starting the web server at [http://localhost:8080](http://localhost:8080) ...  
Open the app in your browser and start annotating!

![No_task_available](https://us1.discourse-cdn.com/flex020/uploads/prodigy/original/2X/8/8dd4b9a880bc46f9436c355b3f7949472c8b1504.png)

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<div class="post-metadata">

**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:** [November 7, 2023, 1:48pm UTC](https://support.prodi.gy/t/no-task-available-ner-manual/6881/2 "2023-11-07T13:48:41Z")

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hi @Rossholdin,

Thanks for your message and welcome to the Prodigy community 👋

You don't need the `db-in` step. If you're annotating the first time, you don't need to put those records into a dataset and then point directly to the same dataset. Prodigy's [deduplication](https://prodi.gy/docs/api-loaders#hashing) is kicking in because it sees that those records are already in your same dataset.

To get it started:

First, drop your dataset (you need to have a clean one):

```python
prodigy drop product_specs

```

Then run your command:

```python
prodigy ner.manual product_specs blank:en file_name --label frllabels.txt

```

Notice no need for `db-in`.

Does this make sense? I can explain more.

You may also want to know about using `dataset:` as a source too (see [docs](https://prodi.gy/docs/api-loaders#datasets)).

Also, Prodigy [logging too](https://prodi.gy/docs/install#debugging-logging) can be helpful as you'd see the deduplication.

Hope this helps!

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<div class="post-metadata">

**Author:** ![Rossholdin](https://avatars.discourse-cdn.com/v4/letter/r/aca169/32.png) [@Rossholdin](https://support.prodi.gy/u/Rossholdin)\
**Post date:** [November 7, 2023, 6:44pm UTC](https://support.prodi.gy/t/no-task-available-ner-manual/6881/3 "2023-11-07T18:44:40Z")

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That worked, I think I misunderstood the directions. I appreciate the help!