File size: 13,106 Bytes
b11ac48 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 |
import random
import json
import os
random.seed(2021)
NUM_SENTENCES = 100_000
NUM_FAILS = 25
SENT_TYPES = ("0_PTY", "1_PTY", "2_PTY")
SENT_1_PTY_TYPES = ("VICTIM", "OUTCOME", "DRIVE")
SENT_ACTIVE_TYPES = ("ACTIVE", "NON_ACTIVE")
SENTS_0_PTY_OUTCOME = ("[[OUTCOME]] [[CIRCUMSTANCE]] [[PLACE]]",
"[[OUTCOME]] [[CIRCUMSTANCE]] [[TIME]]", "[[OUTCOME]] [[CIRCUMSTANCE]]")
SENTS_1_PTY_VICTIM = ("[[SUBJECT]] [[VERB_V2]] [[PLACE]]",
"[[SUBJECT]] [[TIME]] [[VERB_V2]]", "[[SUBJECT]] [[VERB_V2]]")
SENTS_1_PTY_OUTCOME = ("[[SUBJECT]] [[OUTCOME]] [[PLACE]] [[CIRCUMSTANCE]]",
"[[SUBJECT]] [[OUTCOME]] [[CIRCUMSTANCE]]")
SENTS_1_PTY_DRIVE = ("[[SUBJECT]] [[VP_DRIVE]] [[PLACE]]",
"[[SUBJECT]] [[VP_DRIVE]]")
SENTS_2_PTYS = ("[[SUBJECT]] [[VERB_V2]] [[VERB_P]] [[OTHER]] [[VERB_REST]] [[PLACE]]",
"[[SUBJECT]] [[VERB_V2]] [[TIME]] [[VERB_P]] [[OTHER]] [[VERB_REST]]", "[[SUBJECT]] [[VERB_V2]] [[VERB_P]] [[OTHER]] [[VERB_REST]]")
PLACES = ("op stationsplein", "in stadscentrum", "op kruispunt Westerhaven", "op A27", "op A10", "in Lelystad",
"in Assen", "in Amsterdam", "bij Renkum", "in Schilderswijk", "bij knooppunt Lunetten", "op zuidelijke ringweg",
"in de buurt van de Erasmusbrug", "op schoolplein Stedelijk Gymnasium", "bij afrit Rotterdam-Noord", "op Kanaleneiland")
TIMES = ("tijdens avondspits", "vrijdagavond",
"dinsdagochtend", "donderdagnacht", "rond middaguur")
CIRCUMSTANCES = ("na ongeluk", "na aanrijding", "na botsing", "na crash")
CIRCUMSTANCES_AGT = (", dader ervandoor", ", dader ervandoor", ", dader rijdt door", ", bestuurder rijdt door")
OUTCOME_0_TYPES = ("TRAFFIC", "HUMAN")
OUTCOMES_0_TRAFFIC = ("verkeersopstopping", "file", "veel vertraging")
OUTCOMES_0_HUMAN = ("dode", "zwaargewonde", "gewonde", "drie gewonden")
OUTCOMES_1 = ("dood", "overleden", "zwaargewond", "lichtgewond", "ongedeerd")
SUBJECT_TYPES = ("WEAK_PTY", "DRIVER", "VERHICLE")
VPS_DRIVE_ACTIVE = ("rijdt tegen boom", "veroorzaakt ongeluk")
VPS_DRIVE_NON_ACTIVE = ("verongelukt", "gecrasht", "uit de bocht gevlogen", "raakt gewond", "raakt gewond door klap")
EVENT_VERBS_1_VICTIM = ("aangereden", "geschept", "raakt gewond", "raakt gewond door klap")
EVENT_VERBS_2_ACTIVE_ANY = ("raakt|_|_", "botst|op|_", "botst|tegen|_")
EVENT_VERBS_2_ACTIVE_DRIVE = ("rijdt|_|aan", "rijdt|_|dood", "schept|_|_")
EVENT_VERBS_2_NON_ACTIVE_DRIVER = (
"aangereden|door|_", "geschept|door|_")
EVENT_VERBS_2_NON_ACTIVE_VEHICLE = (
"aangereden|door|_", "geschept|door|_", "komt|onder|_")
EVENT_VERBS_2_NON_ACTIVE_ANY = (
"geraakt|door|_",)
WEAK_PTY_NPS = ("fietser", "skateboarder", "wielrenner", "rolschaatser", "jogger", "voetganger", "motorrijder",
"fietskoerier", "[[PERSON]] op fiets", "[[PERSON]] op e-bike")
ANY_PERSON_NPS = ("vrouw", "man", "meisje", "jongen",
"bejaarde vrouw", "bejaarde man", "Duitser", "toerist")
CYCLIST_PERSON_NPS = ("postbode", "maaltijdbezorger", "politieagent")
DRIVER_NPS = ("automobilist", "automobiliste", "bestuurder", "dronken automobilist", "dronken bestuurder", "motorrijder",
"minderjarige bestuurder", "trucker", "taxichauffeur", "[[PERSON]] in auto", "dronken [[PERSON]] in auto")
VEHICLE_NPS = ("auto", "personenauto", "vrachtwagen", "tractor", "auto met caravan", "scooter", "motor",
"tram", "stadsbus", "lijn 10", "touringcar", "camper", "vorkheftruck")
def generate_weak_pty():
noun_phrase = random.choice(WEAK_PTY_NPS)
if "[[PERSON]]" in noun_phrase:
person = random.choice(ANY_PERSON_NPS + CYCLIST_PERSON_NPS)
return noun_phrase.replace("[[PERSON]]", person)
else:
return noun_phrase
def generate_driver():
noun_phrase = random.choice(DRIVER_NPS)
if "[[PERSON]]" in noun_phrase:
person = random.choice(ANY_PERSON_NPS)
return noun_phrase.replace("[[PERSON]]", person)
else:
return noun_phrase
def make_sentence(template, fields):
sentence = template
for field, value in fields.items():
sentence = sentence.replace(f"[[{field}]]", value)
sentence = sentence.replace("_", "").replace(" ", " ").strip()
sentence = sentence[0].upper() + sentence[1:]
return sentence
def main():
sentences = {}
dup_fails = 0
while len(sentences) < NUM_SENTENCES and dup_fails < NUM_FAILS:
fields = {}
label = {"party_mentioned": 0, "party_human": 0, "active": False}
fields["TIME"] = random.choice(TIMES)
fields["PLACE"] = random.choice(PLACES)
sent_type = random.choice(SENT_TYPES)
if sent_type == "0_PTY":
if random.random() < 0.5:
fields["CIRCUMSTANCE"] = random.choice(CIRCUMSTANCES)
else:
fields["CIRCUMSTANCE"] = random.choice(CIRCUMSTANCES_AGT)
label["party_mentioned"] += 1
label["party_human"] += 1
outcome_type = random.choice(OUTCOME_0_TYPES)
if outcome_type == "TRAFFIC":
fields["OUTCOME"] = random.choice(OUTCOMES_0_TRAFFIC)
else:
fields["OUTCOME"] = random.choice(OUTCOMES_0_HUMAN)
label["party_mentioned"] += 1
label["party_human"] += 1
sentence = make_sentence(
random.choice(SENTS_0_PTY_OUTCOME), fields)
elif sent_type == "1_PTY":
if random.random() < 0.5:
fields["CIRCUMSTANCE"] = random.choice(CIRCUMSTANCES)
else:
fields["CIRCUMSTANCE"] = random.choice(CIRCUMSTANCES_AGT)
label["party_mentioned"] += 1
label["party_human"] += 1
sent_subtype = random.choice(SENT_1_PTY_TYPES)
if sent_subtype == "VICTIM":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["SUBJECT"] = generate_weak_pty()
fields["VERB_V2"] = random.choice(EVENT_VERBS_1_VICTIM)
sentence = make_sentence(
random.choice(SENTS_1_PTY_VICTIM), fields)
elif sent_subtype == "OUTCOME":
subject_type = random.choice(["WEAK_PTY", "DRIVER"])
fields["OUTCOME"] = random.choice(OUTCOMES_1)
if subject_type == "WEAK_PTY":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["SUBJECT"] = generate_weak_pty()
else: # driver
label["party_mentioned"] += 1
label["party_human"] += 1
fields["SUBJECT"] = generate_driver()
sentence = make_sentence(
random.choice(SENTS_1_PTY_OUTCOME), fields)
else: # drive
subject_type = random.choice(["DRIVER", "VERHICLE"])
active_type = random.choice(SENT_ACTIVE_TYPES)
if active_type == "ACTIVE":
fields["VP_DRIVE"] = random.choice(VPS_DRIVE_ACTIVE)
label["active"] = True
else:
fields["VP_DRIVE"] = random.choice(VPS_DRIVE_NON_ACTIVE)
if subject_type == "DRIVER":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["SUBJECT"] = generate_driver()
else: # vehicle
label["party_mentioned"] += 1
fields["SUBJECT"] = random.choice(VEHICLE_NPS)
sentence = make_sentence(
random.choice(SENTS_1_PTY_DRIVE), fields)
else: # 2 pty
active_type = random.choice(SENT_ACTIVE_TYPES)
if active_type == "ACTIVE":
subject_type = random.choice(["WEAK_PTY", "DRIVER", "VERHICLE"])
label["active"] = True
if subject_type == "WEAK_PTY":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["VERB_V2"], fields["VERB_P"], fields["VERB_REST"] = random.choice(
EVENT_VERBS_2_ACTIVE_ANY).split("|")
fields["SUBJECT"] = generate_weak_pty()
other_type = random.choice(["WEAK_PTY", "VEHICLE"])
elif subject_type == "DRIVER":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["SUBJECT"] = generate_driver()
if random.random() < 0.5:
fields["VERB_V2"], fields["VERB_P"], fields["VERB_REST"] = random.choice(
EVENT_VERBS_2_ACTIVE_ANY).split("|")
other_type = random.choice(["WEAK_PTY", "VEHICLE"])
else:
fields["VERB_V2"], fields["VERB_P"], fields["VERB_REST"] = random.choice(
EVENT_VERBS_2_ACTIVE_DRIVE).split("|")
other_type = "WEAK_PTY"
else: # vehicle
label["party_mentioned"] += 1
fields["VERB_V2"], fields["VERB_P"], fields["VERB_REST"] = random.choice(
EVENT_VERBS_2_ACTIVE_ANY + EVENT_VERBS_2_ACTIVE_DRIVE).split("|")
fields["SUBJECT"] = random.choice(VEHICLE_NPS)
if other_type == "WEAK_PTY":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["OTHER"] = generate_weak_pty()
elif other_type == "DRIVER":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["OTHER"] = generate_driver()
else: # vehicle
label["party_mentioned"] += 1
fields["OTHER"] = random.choice(VEHICLE_NPS)
else: # non-active
other_type = random.choice(["WEAK_PTY", "DRIVER", "VEHICLE"])
if other_type == "WEAK_PTY":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["OTHER"] = generate_weak_pty()
fields["VERB_V2"], fields["VERB_P"], fields["VERB_REST"] = random.choice(
EVENT_VERBS_2_NON_ACTIVE_ANY).split("|")
subject_type = random.choice(["WEAK_PTY", "DRIVER", "VEHICLE"])
elif other_type == "DRIVER":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["OTHER"] = generate_driver()
if random.random() < 0.5:
fields["VERB_V2"], fields["VERB_P"], fields["VERB_REST"] = random.choice(
EVENT_VERBS_2_NON_ACTIVE_ANY).split("|")
subject_type = random.choice(["WEAK_PTY", "DRIVER", "VEHICLE"])
else:
fields["VERB_V2"], fields["VERB_P"], fields["VERB_REST"] = random.choice(
EVENT_VERBS_2_NON_ACTIVE_DRIVER).split("|")
subject_type = random.choice(["WEAK_PTY"])
else: # "vehicle"
label["party_mentioned"] += 1
fields["OTHER"] = random.choice(VEHICLE_NPS)
if random.random() < 0.5:
fields["VERB_V2"], fields["VERB_P"], fields["VERB_REST"] = random.choice(
EVENT_VERBS_2_NON_ACTIVE_ANY).split("|")
subject_type = random.choice(["WEAK_PTY", "DRIVER", "VEHICLE"])
else:
fields["VERB_V2"], fields["VERB_P"], fields["VERB_REST"] = random.choice(
EVENT_VERBS_2_NON_ACTIVE_VEHICLE).split("|")
subject_type = random.choice(["WEAK_PTY"])
if subject_type == "WEAK_PTY":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["SUBJECT"] = generate_weak_pty()
elif subject_type == "DRIVER":
label["party_mentioned"] += 1
label["party_human"] += 1
fields["SUBJECT"] = generate_driver()
else: # vehicle
label["party_mentioned"] += 1
fields["SUBJECT"] = random.choice(VEHICLE_NPS)
sentence = make_sentence(random.choice(SENTS_2_PTYS), fields)
if sentence not in sentences:
sentences[sentence] = label
dup_fails = 0
else:
dup_fails += 1
with open("output/crashes/generate_templates/sentences.jsonl", "w", encoding="utf-8") as f_out:
for sentence, label in sentences.items():
f_out.write(json.dumps({"sentence": sentence, "label": label}) + os.linesep)
f_out.write(os.linesep)
if __name__ == "__main__":
main()
|