Just came across this gem of a solution: http://blog.cloudera.com/blog/2008/11/sending-files-to-remote-task-nodes-with-hadoop-mapreduce/
first create zip w/ the libraries desired
zip -r nltkandyaml.zip nltk yaml
mv ntlkandyaml.zip /path/to/where/your/mapper/will/be/nltkandyaml.mod
next, include via Hadoop stream “-file” argument:
hadoop -file nltkandyaml.zip
finally, load the libaries via python:
import zipimport
importer = zipimport.zipimporter('nltkandyaml.mod')
yaml = importer.load_module('yaml')
nltk = importer.load_module('nltk')
Additionally, this page summarizes how to include a corpus: http://www.xcombinator.com/2009/11/18/how-to-use-cascading-with-hadoop-streaming/
download and unzip the wordnet corpus
cd wordnet
zip -r ../wordnet-flat.zip *
in python:
wn = WordNetCorpusReader(nltk.data.find('lib/wordnet-flat.zip'))