parse

squall.py

@@ -18,7 +18,7 @@
 
 
 import json
-
+import re
 import datasets
 from datasets.tasks import QuestionAnsweringExtractive
 
@@ -152,6 +152,83 @@ class Squall(datasets.GeneratorBasedBuilder):
         if split_key != 'test':
             with open(squall_full, encoding="utf-8") as f:
                 squall_full_data = json.load(f)
+
+            NUM_MAPPING = {
+                'half': 0.5,
+                'one': 1,
+                'two': 2,
+                'three': 3,
+                'four': 4,
+                'five': 5,
+                'six': 6,
+                'seven': 7,
+                'eight': 8,
+                'nine': 9,
+                'ten': 10,
+                'eleven': 11,
+                'twelve': 12,
+                'twenty': 20,
+                'thirty': 30,
+                'once': 1,
+                'twice': 2,
+                'first': 1,
+                'second': 2,
+                'third': 3,
+                'fourth': 4,
+                'fifth': 5,
+                'sixth': 6,
+                'seventh': 7,
+                'eighth': 8,
+                'ninth': 9,
+                'tenth': 10,
+                'hundred': 100,
+                'thousand': 1000,
+                'million': 1000000,
+                'jan': 1,
+                'feb': 2,
+                'mar': 3,
+                'apr': 4,
+                'may': 5,
+                'jun': 6,
+                'jul': 7,
+                'aug': 8,
+                'sep': 9,
+                'oct': 10,
+                'nov': 11,
+                'dec': 12,
+                'january': 1,
+                'february': 2,
+                'march': 3,
+                'april': 4,
+                'june': 6,
+                'july': 7,
+                'august': 8,
+                'september': 9,
+                'october': 10,
+                'november': 11,
+                'december': 12,
+            }
+
+            def parse_number(s):
+                if s in NUM_MAPPING:
+                    return NUM_MAPPING[s]
+                s = s.replace(',', '')
+                # https://stackoverflow.com/questions/4289331/python-extract-numbers-from-a-string
+                ret = re.findall(r"[-+]?[.]?[\d]+(?:,\d\d\d)*[\.]?\d*(?:[eE][-+]?\d+)?", s)
+                if len(ret) > 0:
+                    return ret[0]
+                return None
+
+            for instance in squall_full_data:
+                has_number = False
+                numbers = []
+                for x in instance["nl"]:
+                    numbers.append(parse_number(x))
+                    if numbers[-1] is not None:
+                        has_number = True
+                instance["numbers"] = numbers
+                instance["has_number"] = has_number
+
             with open(dev_ids) as f:
                 dev_ids = json.load(f)
             if split_key == "train":