An interface to manipulate infos that stores a dataset meta-informations

[bonhunko]

Summary

related ticket: CVS-97082
Implement an interface to manipulate 'infos' that stores a dataset meta-information.
You can add any meta-information you want, such that author, related papers, comments, ...

When you export a dataset to Datumaro format, infos will be stored to annotation json like the bellow:
{
"infos": {
"task": "classification",
"comment": "This dataset is annotated by the human"
},
"categories": {
.....
}

How to test

Checklist

• I submit my changes into the develop branch
• I have added description of my changes into CHANGELOG
• I have updated the documentation accordingly
• I have added tests to cover my changes
• I have linked related issues

License

• I submit my code changes under the same MIT License that covers the project.
  Feel free to contact the maintainers if that's a concern.
• I have updated the license header for each file (see an example below)

# Copyright (C) 2021 Intel Corporation
#
# SPDX-License-Identifier: MIT

[codecov-commenter]

Codecov Report

Base: 84.64% // Head: 84.45% // Decreases project coverage by -0.18% ⚠️

Coverage data is based on head (ddb932c) compared to base (c5327b3).
Patch coverage: 80.15% of modified lines in pull request are covered.

Additional details and impacted files

@@             Coverage Diff             @@
##           develop     #767      +/-   ##
===========================================
- Coverage    84.64%   84.45%   -0.19%     
===========================================
  Files          157      157              
  Lines        21925    22049     +124     
  Branches      4804     4827      +23     
===========================================
+ Hits         18558    18622      +64     
- Misses        2263     2319      +56     
- Partials      1104     1108       +4     

Flag	Coverage Δ
macos-10.15_Python-3.7	?
macos-10.15_Python-3.8	?
macos-10.15_Python-3.9	?
ubuntu-20.04_Python-3.10	84.09% <80.15%> (-0.03%)	⬇️
ubuntu-20.04_Python-3.7	83.79% <79.52%> (-0.02%)	⬇️
ubuntu-20.04_Python-3.8	84.02% <80.15%> (-0.03%)	⬇️
ubuntu-20.04_Python-3.9	84.03% <80.15%> (-0.03%)	⬇️
windows-2019_Python-3.10	84.11% <80.15%> (?)
windows-2019_Python-3.7	83.79% <79.52%> (-0.04%)	⬇️
windows-2019_Python-3.8	84.03% <80.15%> (?)
windows-2019_Python-3.9	84.32% <80.15%> (+0.24%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
datumaro/components/errors.py	87.53% <66.66%> (-0.17%)	⬇️
datumaro/plugins/coco_format/converter.py	89.46% <66.66%> (-0.15%)	⬇️
datumaro/components/launcher.py	74.00% <71.42%> (-0.42%)	⬇️
datumaro/plugins/transforms.py	81.21% <75.00%> (-0.22%)	⬇️
datumaro/components/dataset.py	83.37% <75.47%> (-0.69%)	⬇️
datumaro/plugins/datumaro_format/converter.py	92.82% <83.33%> (-0.29%)	⬇️
datumaro/components/operations.py	84.41% <85.71%> (+0.17%)	⬆️
datumaro/components/extractor.py	82.64% <90.90%> (+0.35%)	⬆️
datumaro/components/extractor_tfds.py	95.81% <100.00%> (+0.10%)	⬆️
datumaro/components/hl_ops.py	63.93% <100.00%> (+0.60%)	⬆️
... and 5 more

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[wonjuleee]

It looks good to me!

[vinnamkim]

LGTM.