Improve Dataset.from_list docstring (#6062)

src/datasets/arrow_dataset.py

@@ -932,19 +932,19 @@ def from_list(
  split: Optional[NamedSplit] = None,
  ) -> "Dataset":
  """
- Convert a list of dicts to a `pyarrow.Table` to create a :class:`Dataset`.
+ Convert a list of dicts to a `pyarrow.Table` to create a [`Dataset`]`.
 
  Note that the keys of the first entry will be used to determine the dataset columns,
  regardless of what is passed to features.
 
  Args:
  mapping (`List[dict]`): A list of mappings of strings to row values.
- features (:class:`Features`, optional): Dataset features.
- info (:class:`DatasetInfo`, optional): Dataset information, like description, citation, etc.
- split (:class:`NamedSplit`, optional): Name of the dataset split.
+ features (`Features`, optional): Dataset features.
+ info (`DatasetInfo`, optional): Dataset information, like description, citation, etc.
+ split (`NamedSplit`, optional): Name of the dataset split.
 
  Returns:
- :class:`Dataset`
+ [`Dataset`]
  """
  # for simplicity and consistency wrt OptimizedTypedSequence we do not use InMemoryTable.from_pylist here
  mapping = {k: [r.get(k) for r in mapping] for k in mapping[0]} if mapping else {}