import json
import collections
p1=json.load(open('ReaSCAN-compositional-p1-test/data-compositional-splits.txt', 'r'))["examples"]["test"]
p2=json.load(open('ReaSCAN-compositional-p2-test/data-compositional-splits.txt', 'r'))["examples"]["test"]
p3=json.load(open('ReaSCAN-compositional-p3-test/data-compositional-splits.txt', 'r'))["examples"]["test"]
p123=p1+p2+p3
ptest=json.load(open('ReaSCAN-compositional/data-compositional-splits.txt', 'r'))["examples"]["test"]
p123_command=[x['command'] for x in p123]
ptest_command=[x['command'] for x in ptest]
p123_command_sorted = sorted(p123_command)
ptest_command_sorted = sorted(ptest_command)
if collections.Counter(p123_command_sorted) == collections.Counter(ptest_command_sorted):
    print ("The lists are identical")
else :
    print ("The lists are not identical")

>p123_command_sorted[:10]
['pull,the,big,blue,circle',
 'pull,the,big,blue,circle',
 'pull,the,big,blue,circle',
 'pull,the,big,blue,circle',
 'pull,the,big,blue,circle,cautiously',
 'pull,the,big,blue,circle,hesitantly',
 'pull,the,big,blue,circle,that,is,in,the,same,column,as,a,big,blue,square,and,inside,of,a,red,box,while,spinning',
 'pull,the,big,blue,circle,that,is,in,the,same,column,as,a,big,yellow,cylinder,hesitantly',
 'pull,the,big,blue,circle,that,is,in,the,same,column,as,a,big,yellow,cylinder,hesitantly',
 'pull,the,big,blue,circle,that,is,in,the,same,column,as,a,small,blue,square']

>ptest_command_sorted[:10]
['pull,the,big,blue,circle',
 'pull,the,big,blue,circle',
 'pull,the,big,blue,circle',
 'pull,the,big,blue,circle',
 'pull,the,big,blue,circle,cautiously',
 'pull,the,big,blue,circle,cautiously',
 'pull,the,big,blue,circle,hesitantly',
 'pull,the,big,blue,circle,that,is,in,the,same,column,as,a,big,yellow,cylinder,hesitantly',
 'pull,the,big,blue,circle,that,is,in,the,same,column,as,a,small,blue,square,hesitantly',
 'pull,the,big,blue,circle,that,is,in,the,same,column,as,a,small,blue,square,hesitantly']