UCDP-AEC

Models and data for the UCDP Abstractive Event analysis Corpus paper
git clone https://esimon.eu/repos/UCDP-AEC.git
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split_dataset.py (719B)


      1 import argparse
      2 import json
      3 from collections import Counter, defaultdict
      4 import os
      5 import ipdb
      6 
      7 parser = argparse.ArgumentParser()
      8 parser.add_argument("-i", "--input_path", type=str, required=True)
      9 parser.add_argument("-s", "--split_path", type=str, required=True)
     10 parser.add_argument("-o", "--output_path", type=str, required=True)
     11 args = parser.parse_args()
     12 
     13 inp = [json.loads(line) for line in open(args.input_path, 'r')]
     14 split = [x.strip('\n') for x in open(args.split_path, 'r')]
     15 
     16 counter = 0
     17 with open(args.output_path, 'w') as f:
     18     for doc in inp:
     19         if doc['doc_id'] in split:
     20             counter += 1
     21             f.write(json.dumps(doc) + '\n')
     22 
     23 print('Processed {} number of instances'.format(counter))