Hi,
I am trying to run DP_ODQA.ipynb on colab but I don’t get the final answer at the end but the warning below:

2019-10-20 04:40:26.77 INFO in 'deeppavlov.core.data.utils'['utils'] at line 64: Downloading from http://files.deeppavlov.ai/deeppavlov_data/multi_squad_model_noans_1.1.tar.gz to /root/.deeppavlov/multi_squad_model_noans_1.1.tar.gz
100%|██████████| 265M/265M [01:12<00:00, 3.63MB/s]

For example, documentation of AudioToSpectrogramPreprocessor is missing.

We investigated that with @redoctopus and she has found that nemo_asr.rst doesn't include several modules.

https://github.com/NVIDIA/NeMo/blob/master/docs/sources/source/collections/nemo_asr.rst

So the bigger issue includes: taking a look at all implemented components and checking whether the associated rst files are

e.g. some short methods may contain a description in the return tag, but not a description of the method itself. (to avoid redundancy).

Doing this would extract more methods, but they may be of lower quality if incorrectly parsed or automatically generated. I'd expect a description such as @return bool STARTDESCRIPTION true if this is a float to be extracted (I'm not familiar with how the dat

Create a markdown document with some explanations on how level generation works in BabyAI and how to create custom levels. This would go under /docs.

More broadly, I'd like to split up the README into more sub-documents, as I've done in the MiniWorld repo. Keep only introduction, installation and basic usage into the main README

Hello. I found a bug while looking through the code, ch4/ch4_document_embedding.ipynb

Batch is not just a vector, but a matrix. I added the code to generate batches of data for skip-gram

`

batch = np.ndarray(shape=(batch_size, span-1), dtype=np.int32)