Closes #67 - Add Monero

[napsternxg]

Fixes #67 - Add Monero

If the following information is NOT present in the issue, please populate:

• Name: MoNERo
• Description: MoNERo: a Biomedical Gold Standard Corpus for the Romanian Language for part of speech tagging and named entity recognition.
• Paper: https://www.racai.ro/en/tools/text/
• Data: https://github.com/bigscience-workshop/biomedical/files/8550757/MoNERo.tar.gz

Checkbox

• Confirm that this PR is linked to the dataset issue.
• Create the dataloader script biodatasets/my_dataset/my_dataset.py (please use only lowercase and underscore for dataset naming).
• Provide values for the _CITATION, _DATASETNAME, _DESCRIPTION, _HOMEPAGE, _LICENSE, _URLs, _SUPPORTED_TASKS, _SOURCE_VERSION, and _BIGBIO_VERSION variables.
• Implement _info(), _split_generators() and _generate_examples() in dataloader script.
• Make sure that the BUILDER_CONFIGS class attribute is a list with at least one BigBioConfig for the source schema and one for a bigbio schema.
• Confirm dataloader script works with datasets.load_dataset function.
• Confirm that your dataloader script passes the test suite run with python -m tests.test_bigbio biodatasets/my_dataset/my_dataset.py.
• If my dataset is local, I have provided an output of the unit-tests in the PR (please copy paste). This is OPTIONAL for public datasets, as we can test these without access to the data files.

[hakunanatasha]

@napsternxg passes all the unit tests and loads fine, but I noticed if I do the following:

from datasets import load_dataset
x = load_dataset("biodatasets/monero/monero.py", name="monero_bigbio_kb")["train"]["entities"][-1]

I find these all empty. Is this intended?

[hakunanatasha]

@napsternxg also I made a small change at the end of the file (near the main call)

[napsternxg]

Hi @hakunanatasha thanks. Let me have a look at this. I will address this by early next week.

[napsternxg]

Hi @hakunanatasha I checked the entities. They are present. When no entity is present in a doc we see an empty list.
This is a better way to check:

from datasets import load_dataset
data = load_dataset("biodatasets/monero/monero.py", name="monero_bigbio_kb")
data["train"]["entities"][-5:]

Will output

[[],
 [],
 [],
 [{'id': 'docid-4982-E0',
   'type': 'DISO',
   'text': ['hemipareză spastică'],
   'offsets': [[109, 128]],
   'normalized': []}],
 []]

This means only the second last doc among the last 5 docs has any entity.

I also added a fix about entity offsets.
I think this PR is ready for Merge.