Hello friends,
I'm playing with the idea of creating an unsupervised model to classify player-created Pokemon teams and sets. The idea is to use clustering analysis to group teams and/or sets into clusters which would (hopefully) represent different teambuilding archetypes (e.g. sweeper/wall/etc. or hyperoffense/stall/etc.).
This will require a substantial data set of player-created teams (maybe 300+ teams). Of course there are thousands (millions? billions??) of teams at various sources like Pokepaste and the forums here, but I need large amounts of data in a standardized format such as JSON or CSV.
Anyone know of a good resource to get this kind of data on player-created teams? I'd rather not spend hours writing a webscraper for this...
Best,
zanalytic
***Edit: the format doesn't matter as much (PS import/export format is fine), as long as all the data comply with it.
I'm playing with the idea of creating an unsupervised model to classify player-created Pokemon teams and sets. The idea is to use clustering analysis to group teams and/or sets into clusters which would (hopefully) represent different teambuilding archetypes (e.g. sweeper/wall/etc. or hyperoffense/stall/etc.).
This will require a substantial data set of player-created teams (maybe 300+ teams). Of course there are thousands (millions? billions??) of teams at various sources like Pokepaste and the forums here, but I need large amounts of data in a standardized format such as JSON or CSV.
Anyone know of a good resource to get this kind of data on player-created teams? I'd rather not spend hours writing a webscraper for this...
Best,
zanalytic
***Edit: the format doesn't matter as much (PS import/export format is fine), as long as all the data comply with it.
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