<｜begin▁of▁sentence｜>### Instruction:
Imagine you're an optometrist, right? Your daily work involves peering into the complexities of the human eye, understanding its intricate networkÃ¢ÂÂmuch like the interconnected nodes of a graph. You're tasked with diagnosing and treating conditions that disrupt this network, ensuring clarity and stability in your patients' vision. Just as you would prescribe the right lenses to bring a patient's world into focus, you're looking to bring clarity to another type of networkÃ¢ÂÂthe interconnected web of information found within a benchmark dataset named 'wikipedia.'

In the same way that you might select a specific instrument to examine the eye, you need the right tool to read this dataset. In this case, the GraphReader class from the littleballoffur library is the instrument of choice. It allows you to import the data into a form that's usable for your analysisÃ¢ÂÂmuch as a NetworkX graph object would serve as a foundational framework within which you can explore and sample the data.

Now, let's restyle your question with this in mind: How can you, leveraging your analytical precision, utilize the GraphReader class from the littleballoffur library to extract and analyze the 'wikipedia' benchmark dataset? Just as you would determine the correct lens power, you need to ascertain the specific file name for this dataset. If it were in a gml file, what would its name be, so that you can accurately perform your sampling tasks within the NetworkX environment?
### Response:
from littleballoffur import GraphReader
reader = GraphReader(dataset='wikipedia')
G = reader.get_graph();
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