Introduction:
In Python, there are several data structures available to store and manipulate collections of elements. One such data structure is a set, which is specifically designed to store a collection of unique elements. This answer will explain why a set is the correct choice to store unique elements.

Explanation:
1. Set:
A set is an unordered collection of unique elements, meaning that it cannot contain duplicate values. It is implemented as a hash table, which allows for efficient insertion, deletion, and membership testing operations. Sets are mutable, allowing elements to be added or removed.

2. List:
A list is an ordered collection that can contain duplicate elements. It is implemented as an array, which allows for fast indexing and slicing operations. Lists are mutable, meaning that elements can be modified, added, or removed.

3. Tuple:
A tuple is an ordered collection that can contain duplicate elements. It is implemented as an immutable sequence, meaning that its elements cannot be modified once created. Tuples are commonly used to group related data together.

4. Dictionary:
A dictionary is an unordered collection of key-value pairs. While it can store unique keys, the values can be duplicated. Dictionaries are implemented as hash tables, allowing for efficient key-based operations such as insertion, deletion, and retrieval.

Conclusion:
Among the given options, the correct choice to store a collection of unique elements is a set. Sets are specifically designed to store unique elements and provide efficient operations for manipulating them. Lists, tuples, and dictionaries can all contain duplicate elements, making them unsuitable for this purpose.