I am trying to train the Google Syntaxnet model in a different language using the datasets available at <http://universaldependencies.org/> and following this [tutorial](https://github.com/tensorflow/models/tree/master/syntaxnet#detailed-tutorial-building-an-nlp-pipeline-with-syntaxnet). I edited the `syntaxnet/context.pbtxt` file but when I try to run the `bazel's script` provided in the guide I got the following error:

```
syntaxnet/term_frequency_map.cc:62] Check failed: ::tensorflow::Status::OK() == (tensorflow::Env::Default()->NewRandomAccessFile(filename, &file)) (OK vs. Not found: brain_pos/greedy/0/label-map)

```

My doubt is: I have to provide this file and the other files such as `fine-to-universal.map`, `tag-map`, `word-map` and so on, or the train step have to create them using the training dataset? And if I have to provide them, how can I build them?

Thanks in advance