<｜begin▁of▁sentence｜>### Instruction:
Hey there! So, you know the drillÃ¢ÂÂspending hours on end testing every nook and cranny of new video games, looking out for those pesky bugs and glitches that could mess with a player's experience. We've got to keep an eye on everything, from the way characters move to how the environment reacts to our actions, making sure every little detail is just right before the game hits the public. It's like being a detective, but in a world of pixels and code.

And just like in gaming, where we've got to dig into the details to get to the next level, in data analysis sometimes we need to convert data into a different format so we can run our diagnostics and see what's under the hood. I heard youÃ¢ÂÂre dealing with that 'wikipedia' dataset from littleballoffur, right? It's like when you've got an item or a map that you need to unlock in a game, except in this case you're looking to unlock the data's potential by turning it into a graph.

Now, to tackle this and visualize what's going on, you've got to use the GraphReader class to load up that dataset and morph it into a NetworkX graph. It's kind of like converting a game save file into a format that another console can read. Imagine if the dataset is a .gml file, you'd need to know the exact file name to work with it. So, what's the file name for the 'wikipedia' dataset as a .gml that youÃ¢ÂÂre trying to get into NetworkX using GraphReader? Once we have that, it's like finding the right key to unlock a secret level. Let's get that gameÃ¢ÂÂer, I mean, graphÃ¢ÂÂready for action!
### Response:
from littleballoffur.dataset import GraphReader
reader = GraphReader(dataset='wikipedia')
G = reader.get_graph()
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