Pass Keyword Argument to TabularDataBase (#1522)

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https://github.com/openvinotoolkit/datumaro/blob/develop/CONTRIBUTING.md
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### Summary

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Resolves #111 and #222.
Depends on #1000 (for series of dependent commits).

This PR introduces this capability to make the project better in this
and that.

- Added this feature
- Removed that feature
- Fixed the problem #1234
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- Pass kwargs to TabularDataBase during importing dataset
- It could contain any arguments like `encoding`

### How to test
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not fully covered by unit tests or manual testing can be complicated.
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### Checklist
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- [ ] I have added unit tests to cover my changes.​
- [ ] I have added integration tests to cover my changes.​
- [X] I have added the description of my changes into
[CHANGELOG](https://github.com/openvinotoolkit/datumaro/blob/develop/CHANGELOG.md).​
- [ ] I have updated the
[documentation](https://github.com/openvinotoolkit/datumaro/tree/develop/docs)
accordingly

### License

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that covers the project.
  Feel free to contact the maintainers if that's a concern.
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# Copyright (C) 2024 Intel Corporation
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CHANGELOG.md

@@ -27,6 +27,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   (<https://github.com/openvinotoolkit/datumaro/pull/1480>)
 - Set label name with parents to avoid duplicates for AstypeAnnotations
   (<https://github.com/openvinotoolkit/datumaro/pull/1492>)
+- Pass Keyword Argument to TabularDataBase
+  (<https://github.com/openvinotoolkit/datumaro/pull/1522>)
 
 ### Bug fixes
 - Split the video directory into subsets to avoid overwriting

src/datumaro/plugins/data_formats/tabular.py

@@ -33,6 +33,7 @@ def __init__(
         target: Optional[Union[str, List[str]]] = None,
         dtype: Optional[Dict[str, Type[TableDtype]]] = None,
         ctx: Optional[ImportContext] = None,
+        **kwargs,
     ) -> None:
         """
         Read and compose a tabular dataset.
@@ -59,13 +60,14 @@ def __init__(
         super().__init__(media_type=TableRow, ctx=ctx)
 
         self._infos = {"path": path}
-        self._items, self._categories = self._parse(paths, target, dtype)
+        self._items, self._categories = self._parse(paths, target, dtype, **kwargs)
 
     def _parse(
         self,
         paths: List[str],
         target: Optional[Dict[str, List[str]]] = None,
         dtype: Optional[Dict[str, Type[TableDtype]]] = None,
+        **kwargs,
     ) -> Tuple[List[DatasetItem], Dict[AnnotationType, Categories]]:
         """
         parse tabular files. Each file is regarded as a subset.
@@ -91,7 +93,7 @@ def _parse(
                 raise TypeError('Target should have both "input" and "output"')
 
         for path in paths:
-            table = Table.from_csv(path, dtype=dtype)
+            table = Table.from_csv(path, dtype=dtype, **kwargs)
 
             targets: List[str] = []
             targets_ann: List[str] = []