['occipital lobe']]
terms_b = [['vision'], ['audition', 'auditory'], ['somatosensory'],
['olfaction', 'smell'], ['gustation', 'taste'], ['proprioception'],
['nociception', 'pain']]
###################################################################################################
# Set terms lists
# Different terms lists are indexed by the 'A' and 'B' labels
counts.add_terms(terms_a, dim='A')
counts.add_terms(terms_b, dim='B')
###################################################################################################
# Collect co-occurrence data
counts.run_collection()
###################################################################################################
#
# From there you can use all the same methods to explore the data we just collected.
#
# In the next tutorial, we explore analyzing our collected counts data.
#
# For now, let's save out our collected counts data, using the LISC utility to save the object.
#
###################################################################################################
# Save out the counts object
save_object(counts, 'tutorial_counts', directory=SCDB('lisc_db'))
# Because of this, the :class:`~.Words` object allows for continuously saving collected data.
# If set to True, the `save_and_clear` parameter saves out collected data, and clears the
# object per term, so that collected data does not have to stay in RAM.
#
# Now, let's run our bigger collection, using some of these settings.
#
###################################################################################################
# Set up our database object, so we can save out data as we go
db = SCDB('lisc_db')
# Collect words data
words.run_collection(usehistory=True, retmax=15, save_and_clear=True, directory=db)
###################################################################################################
#
# After this collection, the Words object does not actually include the collected data,
# as the data was saved and cleared throughout the collection.
#
# The Words object does still have all the information about the search terms, which we can
# use to reload our data, so it is still worth saving as well.
#
# We will analyze our words data in the next tutorial. For now lets save out the Words object.
#
###################################################################################################
# Save out the words data
save_object(words, 'tutorial_words', directory=db)