OS: MacOS 10.13.3
I installed the MeTA as instructed on setup guide. When I do the unit test

describe [ranker regression]
libc++abi.dylib: terminating with uncaught exception of type meta::corpus::corpus_exception: corpus configuration file (../data//cranfield/line.toml) not present

• copying existing directory tree for a language to a new named branch
• how to update the snippets file
• adding logos
• ...?

Immediately after introducing print(), the tutorial asks them to make a calculator. I think a brief touch on adding numbers might be good first.

I think it is necessary to add an experiment that compare the test accuracy of the original text and the adversarial text examples in the target model to judge whether the adversarial text examples really reduce the accuracy.

is someone familiar with the Ontology process and can share an RDF file for example?
Super Thanks :)

pip install -r requirements.txt
python -m spacy download en_core_web_sm # depend on which language you want to you: https://spacy.io/usage/models

Is your feature request related to a problem? Please describe.
Not of a problem, more of an enhancement

Describe the solution you'd like
Add other languages from other repos, assuming that they use the Unicode codepoint + n-grams model.

Describe alternatives you've considered

• https://github.com/wooorm/franc/tree/master/packages/franc-all (JS, 401 languages)
  • Codepoints h

Text version

master

Orange version

master

Expected behavior

I search for a word in Corpus Viewer and get some documents. I would then expect the output to be those documents that I also select in the documents list. It would behave more like Data Table.

Actual behavior

The output is always documents that match search regardless of what is selected in the documents li