# No tasks available in v1.10 - texcat.teach **URL:** https://support.prodi.gy/t/no-tasks-available-in-v1-10-texcat-teach/3081 **Category:** Uncategorized **Tags:** usage, textcat **Created:** [June 25, 2020, 11:55pm UTC](https://support.prodi.gy/t/no-tasks-available-in-v1-10-texcat-teach/3081 "2020-06-25T23:55:27Z") **Posts on this page:** 1 **Showing post:** 2
### 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, 2020, 1:25pm UTC](https://support.prodi.gy/t/no-tasks-available-in-v1-10-texcat-teach/3081/2 "2020-06-26T13:25:42Z")
Hi! If your .txt actually has 70k unique lines, it definitely sounds a bit suspicious that it exits so early. Skipping examples is expected (and kind of the point of using `textcat.teach`), but it should only happen once you've moved through all the batches. When you see "no tasks available" and reload the browser, do you get new examples? This could indicate that something on the server is taking too long and the queue runs out before it gets new examples 🤔 Otherwise, what you describe here sounds similar to the question in [this thread](https://support.prodi.gy/t/best-use-of-textcat-teach/3035/3) so I'd probably also give similar advice: > [@Best use of \`textcat.teach\`](https://support.prodi.gy/t/best-use-of-textcat-teach/3035/3): > > The idea of the textcat.teach recipe is that it uses the model in the loop to select the most relevant examples for annotation, based on the score (e.g. pioritising the examples with a score closest to 0.5, as those may be the most "uncertain" predictions). This also means that the recipe will skip examples with high and low scores, so you're not going to see all examples in your dataset. The recipe will use an exponential moving average go decide which scores to consider. This prevents Prodigy… If you have a lot of patterns, I think it'd probably be a good idea in your case to start with some basic pattern matching with `prodigy match`, collect some initial data to give the model a head-start and get a feeling for how common/rare the individual labels are. --- _[View the full topic](https://support.prodi.gy/t/no-tasks-available-in-v1-10-texcat-teach/3081)._