Datasets:
siyue
commited on
Commit
·
f1bb559
1
Parent(s):
7d85704
dict
Browse files
squall.py
CHANGED
|
@@ -172,86 +172,88 @@ class Squall(datasets.GeneratorBasedBuilder):
|
|
| 172 |
align_keys = ["nl_indices", "sql_indices"]
|
| 173 |
ralign_keys = ["aligned_sql_token_type", "aligned_sql_token_info"]
|
| 174 |
|
| 175 |
-
|
| 176 |
-
|
| 177 |
-
|
| 178 |
-
|
| 179 |
-
|
| 180 |
-
|
| 181 |
-
|
| 182 |
-
|
| 183 |
-
|
| 184 |
-
|
| 185 |
-
|
| 186 |
-
|
| 187 |
-
|
| 188 |
-
|
| 189 |
-
|
| 190 |
-
|
| 191 |
-
|
| 192 |
-
|
| 193 |
-
|
| 194 |
-
|
| 195 |
-
|
| 196 |
-
|
| 197 |
-
|
| 198 |
-
|
| 199 |
-
|
| 200 |
-
|
| 201 |
-
|
| 202 |
-
|
| 203 |
-
|
| 204 |
-
|
| 205 |
-
|
| 206 |
-
|
| 207 |
-
|
| 208 |
-
|
| 209 |
-
|
| 210 |
-
|
| 211 |
-
|
| 212 |
-
|
| 213 |
-
|
| 214 |
-
|
| 215 |
-
|
| 216 |
-
|
| 217 |
-
|
| 218 |
-
|
| 219 |
-
|
| 220 |
-
|
| 221 |
-
|
| 222 |
-
|
| 223 |
-
|
| 224 |
-
|
| 225 |
-
|
| 226 |
-
|
| 227 |
-
|
| 228 |
-
|
| 229 |
-
|
| 230 |
-
|
| 231 |
-
|
| 232 |
-
|
| 233 |
-
}
|
| 234 |
|
| 235 |
-
|
| 236 |
-
|
| 237 |
-
|
| 238 |
-
|
| 239 |
-
|
| 240 |
-
|
| 241 |
-
|
| 242 |
-
|
| 243 |
-
|
| 244 |
|
| 245 |
-
|
| 246 |
-
|
| 247 |
-
|
| 248 |
-
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
|
| 252 |
-
|
| 253 |
-
|
| 254 |
|
|
|
|
|
|
|
|
|
|
| 255 |
with open(dev_ids) as f:
|
| 256 |
dev_ids = json.load(f)
|
| 257 |
if split_key == "train":
|
|
|
|
| 172 |
align_keys = ["nl_indices", "sql_indices"]
|
| 173 |
ralign_keys = ["aligned_sql_token_type", "aligned_sql_token_info"]
|
| 174 |
|
| 175 |
+
with open(squall_full, encoding="utf-8") as f:
|
| 176 |
+
squall_full_data = json.load(f)
|
| 177 |
+
|
| 178 |
+
NUM_MAPPING = {
|
| 179 |
+
'half': 0.5,
|
| 180 |
+
'one': 1,
|
| 181 |
+
'two': 2,
|
| 182 |
+
'three': 3,
|
| 183 |
+
'four': 4,
|
| 184 |
+
'five': 5,
|
| 185 |
+
'six': 6,
|
| 186 |
+
'seven': 7,
|
| 187 |
+
'eight': 8,
|
| 188 |
+
'nine': 9,
|
| 189 |
+
'ten': 10,
|
| 190 |
+
'eleven': 11,
|
| 191 |
+
'twelve': 12,
|
| 192 |
+
'twenty': 20,
|
| 193 |
+
'thirty': 30,
|
| 194 |
+
'once': 1,
|
| 195 |
+
'twice': 2,
|
| 196 |
+
'first': 1,
|
| 197 |
+
'second': 2,
|
| 198 |
+
'third': 3,
|
| 199 |
+
'fourth': 4,
|
| 200 |
+
'fifth': 5,
|
| 201 |
+
'sixth': 6,
|
| 202 |
+
'seventh': 7,
|
| 203 |
+
'eighth': 8,
|
| 204 |
+
'ninth': 9,
|
| 205 |
+
'tenth': 10,
|
| 206 |
+
'hundred': 100,
|
| 207 |
+
'thousand': 1000,
|
| 208 |
+
'million': 1000000,
|
| 209 |
+
'jan': 1,
|
| 210 |
+
'feb': 2,
|
| 211 |
+
'mar': 3,
|
| 212 |
+
'apr': 4,
|
| 213 |
+
'may': 5,
|
| 214 |
+
'jun': 6,
|
| 215 |
+
'jul': 7,
|
| 216 |
+
'aug': 8,
|
| 217 |
+
'sep': 9,
|
| 218 |
+
'oct': 10,
|
| 219 |
+
'nov': 11,
|
| 220 |
+
'dec': 12,
|
| 221 |
+
'january': 1,
|
| 222 |
+
'february': 2,
|
| 223 |
+
'march': 3,
|
| 224 |
+
'april': 4,
|
| 225 |
+
'june': 6,
|
| 226 |
+
'july': 7,
|
| 227 |
+
'august': 8,
|
| 228 |
+
'september': 9,
|
| 229 |
+
'october': 10,
|
| 230 |
+
'november': 11,
|
| 231 |
+
'december': 12,
|
| 232 |
+
}
|
|
|
|
| 233 |
|
| 234 |
+
def parse_number(s):
|
| 235 |
+
if s in NUM_MAPPING:
|
| 236 |
+
return NUM_MAPPING[s]
|
| 237 |
+
s = s.replace(',', '')
|
| 238 |
+
# https://stackoverflow.com/questions/4289331/python-extract-numbers-from-a-string
|
| 239 |
+
ret = re.findall(r"[-+]?[.]?[\d]+(?:,\d\d\d)*[\.]?\d*(?:[eE][-+]?\d+)?", s)
|
| 240 |
+
if len(ret) > 0:
|
| 241 |
+
return ret[0]
|
| 242 |
+
return None
|
| 243 |
|
| 244 |
+
for instance in squall_full_data:
|
| 245 |
+
has_number = False
|
| 246 |
+
numbers = []
|
| 247 |
+
for x in instance["nl"]:
|
| 248 |
+
numbers.append(parse_number(x))
|
| 249 |
+
if numbers[-1] is not None:
|
| 250 |
+
has_number = True
|
| 251 |
+
instance["numbers"] = numbers
|
| 252 |
+
instance["has_number"] = has_number
|
| 253 |
|
| 254 |
+
self.full_nt_list = [s["nt"] for s in squall_full_data]
|
| 255 |
+
|
| 256 |
+
if split_key != 'test':
|
| 257 |
with open(dev_ids) as f:
|
| 258 |
dev_ids = json.load(f)
|
| 259 |
if split_key == "train":
|