Create split_corpus.py

evaluation_data/carb/oie_readers/split_corpus.py

@@ -0,0 +1,37 @@
+""" Usage:
+    split_corpus --corpus=CORPUS_FN --reader=READER --in=INPUT_FN --out=OUTPUT_FN
+
+Split OIE extractions according to raw sentences.
+This is used in order to split a large file into train, dev and test.
+
+READER - points out which oie reader to use (see dictionary for possible entries)
+"""
+from clausieReader import ClausieReader
+from ollieReader import OllieReader
+from openieFourReader import OpenieFourReader
+from propsReader import PropSReader
+from reVerbReader import ReVerbReader
+from stanfordReader import StanfordReader
+from docopt import docopt
+import logging
+logging.basicConfig(level = logging.INFO)
+
+available_readers = {
+    "clausie": ClausieReader,
+    "ollie": OllieReader,
+    "openie4": OpenieFourReader,
+    "props": PropSReader,
+    "reverb": ReVerbReader,
+    "stanford": StanfordReader
+}
+
+
+if __name__ == "__main__":
+    args = docopt(__doc__)
+    inp = args["--in"]
+    out = args["--out"]
+    corpus = args["--corpus"]
+    reader = available_readers[args["--reader"]]()
+    reader.read(inp)
+    reader.split_to_corpus(corpus,
+                           out)