Create linguisticprobing.py
Browse files- linguisticprobing.py +1248 -0
linguisticprobing.py
ADDED
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|
| 1 |
+
# coding=utf-8
|
| 2 |
+
# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
|
| 3 |
+
#
|
| 4 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
| 5 |
+
# you may not use this file except in compliance with the License.
|
| 6 |
+
# You may obtain a copy of the License at
|
| 7 |
+
#
|
| 8 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
| 9 |
+
#
|
| 10 |
+
# Unless required by applicable law or agreed to in writing, software
|
| 11 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
| 12 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
| 13 |
+
# See the License for the specific language governing permissions and
|
| 14 |
+
# limitations under the License.
|
| 15 |
+
|
| 16 |
+
# Lint as: python3
|
| 17 |
+
"""Linguistic Probing Benchmark from SentEval"""
|
| 18 |
+
|
| 19 |
+
from __future__ import absolute_import, division, print_function
|
| 20 |
+
|
| 21 |
+
import csv
|
| 22 |
+
import os
|
| 23 |
+
import textwrap
|
| 24 |
+
|
| 25 |
+
import six
|
| 26 |
+
|
| 27 |
+
import datasets
|
| 28 |
+
|
| 29 |
+
|
| 30 |
+
_Linguisticprobing_CITATION = r"""@inproceedings{conneau-etal-2018-cram,
|
| 31 |
+
title = "What you can cram into a single {\$}{\&}!{\#}* vector: Probing sentence embeddings for linguistic properties",
|
| 32 |
+
author = {Conneau, Alexis and
|
| 33 |
+
Kruszewski, German and
|
| 34 |
+
Lample, Guillaume and
|
| 35 |
+
Barrault, Lo{\"\i}c and
|
| 36 |
+
Baroni, Marco},
|
| 37 |
+
booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
|
| 38 |
+
month = jul,
|
| 39 |
+
year = "2018",
|
| 40 |
+
address = "Melbourne, Australia",
|
| 41 |
+
publisher = "Association for Computational Linguistics",
|
| 42 |
+
url = "https://www.aclweb.org/anthology/P18-1198",
|
| 43 |
+
doi = "10.18653/v1/P18-1198",
|
| 44 |
+
pages = "2126--2136",
|
| 45 |
+
abstract = "Although much effort has recently been devoted to training high-quality sentence embeddings, we still have a poor understanding of what they are capturing. {``}Downstream{''} tasks, often based on sentence classification, are commonly used to evaluate the quality of sentence representations. The complexity of the tasks makes it however difficult to infer what kind of information is present in the representations. We introduce here 10 probing tasks designed to capture simple linguistic features of sentences, and we use them to study embeddings generated by three different encoders trained in eight distinct ways, uncovering intriguing properties of both encoders and training methods.",
|
| 46 |
+
}
|
| 47 |
+
"""
|
| 48 |
+
|
| 49 |
+
_Linguisticprobing_DESCRIPTION = """\
|
| 50 |
+
10 probing tasks designed to capture simple linguistic features of sentences,
|
| 51 |
+
"""
|
| 52 |
+
|
| 53 |
+
DATA_URL = "https://www.dropbox.com/s/djsk4kbu8in66gp/linguisticprobing.zip?dl=1"
|
| 54 |
+
|
| 55 |
+
TASK_TO_LABELS = {
|
| 56 |
+
"subj_number": ["NN", "NNS"],
|
| 57 |
+
"word_content": [
|
| 58 |
+
"abandoned",
|
| 59 |
+
"abruptly",
|
| 60 |
+
"accent",
|
| 61 |
+
"access",
|
| 62 |
+
"according",
|
| 63 |
+
"account",
|
| 64 |
+
"ache",
|
| 65 |
+
"ached",
|
| 66 |
+
"acted",
|
| 67 |
+
"acting",
|
| 68 |
+
"actions",
|
| 69 |
+
"actual",
|
| 70 |
+
"address",
|
| 71 |
+
"advantage",
|
| 72 |
+
"advice",
|
| 73 |
+
"afford",
|
| 74 |
+
"agent",
|
| 75 |
+
"agreement",
|
| 76 |
+
"aiden",
|
| 77 |
+
"airport",
|
| 78 |
+
"alarm",
|
| 79 |
+
"albert",
|
| 80 |
+
"alert",
|
| 81 |
+
"alexander",
|
| 82 |
+
"alice",
|
| 83 |
+
"alley",
|
| 84 |
+
"allowing",
|
| 85 |
+
"aloud",
|
| 86 |
+
"amanda",
|
| 87 |
+
"amber",
|
| 88 |
+
"american",
|
| 89 |
+
"amused",
|
| 90 |
+
"amusement",
|
| 91 |
+
"ancient",
|
| 92 |
+
"andy",
|
| 93 |
+
"annie",
|
| 94 |
+
"announced",
|
| 95 |
+
"annoyed",
|
| 96 |
+
"answering",
|
| 97 |
+
"anticipation",
|
| 98 |
+
"anxious",
|
| 99 |
+
"anybody",
|
| 100 |
+
"apologize",
|
| 101 |
+
"appearance",
|
| 102 |
+
"appears",
|
| 103 |
+
"approach",
|
| 104 |
+
"approaching",
|
| 105 |
+
"arched",
|
| 106 |
+
"argue",
|
| 107 |
+
"argument",
|
| 108 |
+
"aria",
|
| 109 |
+
"arrive",
|
| 110 |
+
"ashe",
|
| 111 |
+
"assume",
|
| 112 |
+
"assured",
|
| 113 |
+
"attached",
|
| 114 |
+
"attacked",
|
| 115 |
+
"attempted",
|
| 116 |
+
"audience",
|
| 117 |
+
"available",
|
| 118 |
+
"awful",
|
| 119 |
+
"awkward",
|
| 120 |
+
"background",
|
| 121 |
+
"backpack",
|
| 122 |
+
"backward",
|
| 123 |
+
"backwards",
|
| 124 |
+
"bags",
|
| 125 |
+
"balance",
|
| 126 |
+
"bank",
|
| 127 |
+
"barn",
|
| 128 |
+
"bars",
|
| 129 |
+
"bastard",
|
| 130 |
+
"bath",
|
| 131 |
+
"beating",
|
| 132 |
+
"begged",
|
| 133 |
+
"begins",
|
| 134 |
+
"begun",
|
| 135 |
+
"behavior",
|
| 136 |
+
"bell",
|
| 137 |
+
"belly",
|
| 138 |
+
"belong",
|
| 139 |
+
"belonged",
|
| 140 |
+
"bench",
|
| 141 |
+
"biggest",
|
| 142 |
+
"bike",
|
| 143 |
+
"billy",
|
| 144 |
+
"bird",
|
| 145 |
+
"birds",
|
| 146 |
+
"birth",
|
| 147 |
+
"birthday",
|
| 148 |
+
"bitch",
|
| 149 |
+
"bitter",
|
| 150 |
+
"blank",
|
| 151 |
+
"blast",
|
| 152 |
+
"bleeding",
|
| 153 |
+
"blind",
|
| 154 |
+
"blocked",
|
| 155 |
+
"blond",
|
| 156 |
+
"blonde",
|
| 157 |
+
"bond",
|
| 158 |
+
"bone",
|
| 159 |
+
"bored",
|
| 160 |
+
"bothered",
|
| 161 |
+
"bound",
|
| 162 |
+
"bowed",
|
| 163 |
+
"bowl",
|
| 164 |
+
"boxes",
|
| 165 |
+
"branches",
|
| 166 |
+
"brave",
|
| 167 |
+
"bread",
|
| 168 |
+
"breast",
|
| 169 |
+
"breaths",
|
| 170 |
+
"brian",
|
| 171 |
+
"brick",
|
| 172 |
+
"brilliant",
|
| 173 |
+
"broad",
|
| 174 |
+
"brows",
|
| 175 |
+
"brush",
|
| 176 |
+
"brushing",
|
| 177 |
+
"buddy",
|
| 178 |
+
"build",
|
| 179 |
+
"buildings",
|
| 180 |
+
"bullet",
|
| 181 |
+
"bunch",
|
| 182 |
+
"butt",
|
| 183 |
+
"cage",
|
| 184 |
+
"cain",
|
| 185 |
+
"caleb",
|
| 186 |
+
"callum",
|
| 187 |
+
"calmly",
|
| 188 |
+
"cameron",
|
| 189 |
+
"capable",
|
| 190 |
+
"cards",
|
| 191 |
+
"career",
|
| 192 |
+
"carol",
|
| 193 |
+
"caroline",
|
| 194 |
+
"carriage",
|
| 195 |
+
"cash",
|
| 196 |
+
"cassidy",
|
| 197 |
+
"casual",
|
| 198 |
+
"catching",
|
| 199 |
+
"causing",
|
| 200 |
+
"centuries",
|
| 201 |
+
"chain",
|
| 202 |
+
"chairs",
|
| 203 |
+
"challenge",
|
| 204 |
+
"chamber",
|
| 205 |
+
"chances",
|
| 206 |
+
"changes",
|
| 207 |
+
"changing",
|
| 208 |
+
"charged",
|
| 209 |
+
"checking",
|
| 210 |
+
"chicken",
|
| 211 |
+
"chief",
|
| 212 |
+
"chill",
|
| 213 |
+
"chloe",
|
| 214 |
+
"chocolate",
|
| 215 |
+
"choked",
|
| 216 |
+
"chosen",
|
| 217 |
+
"christian",
|
| 218 |
+
"chuckle",
|
| 219 |
+
"cigarette",
|
| 220 |
+
"circles",
|
| 221 |
+
"circumstances",
|
| 222 |
+
"claim",
|
| 223 |
+
"claimed",
|
| 224 |
+
"clary",
|
| 225 |
+
"classes",
|
| 226 |
+
"claws",
|
| 227 |
+
"clay",
|
| 228 |
+
"cleaned",
|
| 229 |
+
"cleaning",
|
| 230 |
+
"clearing",
|
| 231 |
+
"clicked",
|
| 232 |
+
"cliff",
|
| 233 |
+
"climb",
|
| 234 |
+
"climbing",
|
| 235 |
+
"closely",
|
| 236 |
+
"closest",
|
| 237 |
+
"cloth",
|
| 238 |
+
"clothing",
|
| 239 |
+
"cloud",
|
| 240 |
+
"clue",
|
| 241 |
+
"clung",
|
| 242 |
+
"clutched",
|
| 243 |
+
"coach",
|
| 244 |
+
"cocked",
|
| 245 |
+
"code",
|
| 246 |
+
"colin",
|
| 247 |
+
"collapsed",
|
| 248 |
+
"collar",
|
| 249 |
+
"colors",
|
| 250 |
+
"commander",
|
| 251 |
+
"comment",
|
| 252 |
+
"complicated",
|
| 253 |
+
"concrete",
|
| 254 |
+
"condition",
|
| 255 |
+
"confidence",
|
| 256 |
+
"confident",
|
| 257 |
+
"confirmed",
|
| 258 |
+
"connected",
|
| 259 |
+
"connor",
|
| 260 |
+
"convince",
|
| 261 |
+
"convinced",
|
| 262 |
+
"cook",
|
| 263 |
+
"cops",
|
| 264 |
+
"copy",
|
| 265 |
+
"corners",
|
| 266 |
+
"correct",
|
| 267 |
+
"cost",
|
| 268 |
+
"courage",
|
| 269 |
+
"cousin",
|
| 270 |
+
"covering",
|
| 271 |
+
"covers",
|
| 272 |
+
"crack",
|
| 273 |
+
"cracked",
|
| 274 |
+
"crap",
|
| 275 |
+
"crash",
|
| 276 |
+
"crashed",
|
| 277 |
+
"crawled",
|
| 278 |
+
"cream",
|
| 279 |
+
"create",
|
| 280 |
+
"credit",
|
| 281 |
+
"crept",
|
| 282 |
+
"crime",
|
| 283 |
+
"crossing",
|
| 284 |
+
"crowded",
|
| 285 |
+
"cruel",
|
| 286 |
+
"crystal",
|
| 287 |
+
"cupped",
|
| 288 |
+
"curiosity",
|
| 289 |
+
"current",
|
| 290 |
+
"curse",
|
| 291 |
+
"cursed",
|
| 292 |
+
"cute",
|
| 293 |
+
"cutting",
|
| 294 |
+
"daemon",
|
| 295 |
+
"dagger",
|
| 296 |
+
"damned",
|
| 297 |
+
"damp",
|
| 298 |
+
"danced",
|
| 299 |
+
"danny",
|
| 300 |
+
"dante",
|
| 301 |
+
"darkened",
|
| 302 |
+
"darling",
|
| 303 |
+
"darted",
|
| 304 |
+
"dating",
|
| 305 |
+
"dave",
|
| 306 |
+
"dawn",
|
| 307 |
+
"dealing",
|
| 308 |
+
"delicate",
|
| 309 |
+
"delicious",
|
| 310 |
+
"della",
|
| 311 |
+
"demons",
|
| 312 |
+
"deny",
|
| 313 |
+
"department",
|
| 314 |
+
"desert",
|
| 315 |
+
"deserved",
|
| 316 |
+
"destroy",
|
| 317 |
+
"destroyed",
|
| 318 |
+
"detail",
|
| 319 |
+
"detective",
|
| 320 |
+
"devil",
|
| 321 |
+
"devon",
|
| 322 |
+
"digging",
|
| 323 |
+
"dining",
|
| 324 |
+
"direct",
|
| 325 |
+
"directions",
|
| 326 |
+
"disappear",
|
| 327 |
+
"disappointed",
|
| 328 |
+
"disappointment",
|
| 329 |
+
"disbelief",
|
| 330 |
+
"discuss",
|
| 331 |
+
"disgust",
|
| 332 |
+
"display",
|
| 333 |
+
"distant",
|
| 334 |
+
"distracted",
|
| 335 |
+
"dogs",
|
| 336 |
+
"dollars",
|
| 337 |
+
"double",
|
| 338 |
+
"doubted",
|
| 339 |
+
"dozen",
|
| 340 |
+
"drag",
|
| 341 |
+
"dragging",
|
| 342 |
+
"drake",
|
| 343 |
+
"drank",
|
| 344 |
+
"drawer",
|
| 345 |
+
"drinks",
|
| 346 |
+
"driveway",
|
| 347 |
+
"dropping",
|
| 348 |
+
"drops",
|
| 349 |
+
"drug",
|
| 350 |
+
"drugs",
|
| 351 |
+
"ducked",
|
| 352 |
+
"duke",
|
| 353 |
+
"dull",
|
| 354 |
+
"duncan",
|
| 355 |
+
"duty",
|
| 356 |
+
"dylan",
|
| 357 |
+
"eager",
|
| 358 |
+
"eased",
|
| 359 |
+
"east",
|
| 360 |
+
"eaten",
|
| 361 |
+
"echo",
|
| 362 |
+
"echoed",
|
| 363 |
+
"eddie",
|
| 364 |
+
"edges",
|
| 365 |
+
"elbow",
|
| 366 |
+
"elena",
|
| 367 |
+
"ellie",
|
| 368 |
+
"embarrassed",
|
| 369 |
+
"embrace",
|
| 370 |
+
"emerged",
|
| 371 |
+
"emergency",
|
| 372 |
+
"emotional",
|
| 373 |
+
"ends",
|
| 374 |
+
"enemies",
|
| 375 |
+
"enormous",
|
| 376 |
+
"envelope",
|
| 377 |
+
"equipment",
|
| 378 |
+
"evan",
|
| 379 |
+
"event",
|
| 380 |
+
"everybody",
|
| 381 |
+
"exact",
|
| 382 |
+
"exchange",
|
| 383 |
+
"exchanged",
|
| 384 |
+
"exclaimed",
|
| 385 |
+
"exhausted",
|
| 386 |
+
"exist",
|
| 387 |
+
"existed",
|
| 388 |
+
"existence",
|
| 389 |
+
"exit",
|
| 390 |
+
"expensive",
|
| 391 |
+
"experienced",
|
| 392 |
+
"explanation",
|
| 393 |
+
"exploded",
|
| 394 |
+
"exposed",
|
| 395 |
+
"extended",
|
| 396 |
+
"extremely",
|
| 397 |
+
"eyed",
|
| 398 |
+
"fabric",
|
| 399 |
+
"fade",
|
| 400 |
+
"fairly",
|
| 401 |
+
"faith",
|
| 402 |
+
"fake",
|
| 403 |
+
"falls",
|
| 404 |
+
"families",
|
| 405 |
+
"fangs",
|
| 406 |
+
"farm",
|
| 407 |
+
"farther",
|
| 408 |
+
"favor",
|
| 409 |
+
"feared",
|
| 410 |
+
"feed",
|
| 411 |
+
"fellow",
|
| 412 |
+
"fence",
|
| 413 |
+
"fierce",
|
| 414 |
+
"fifty",
|
| 415 |
+
"file",
|
| 416 |
+
"filling",
|
| 417 |
+
"fingertips",
|
| 418 |
+
"finn",
|
| 419 |
+
"fired",
|
| 420 |
+
"fixed",
|
| 421 |
+
"flame",
|
| 422 |
+
"flashlight",
|
| 423 |
+
"flicked",
|
| 424 |
+
"floating",
|
| 425 |
+
"flushed",
|
| 426 |
+
"foolish",
|
| 427 |
+
"football",
|
| 428 |
+
"footsteps",
|
| 429 |
+
"forcing",
|
| 430 |
+
"formed",
|
| 431 |
+
"frame",
|
| 432 |
+
"freedom",
|
| 433 |
+
"french",
|
| 434 |
+
"friday",
|
| 435 |
+
"friendly",
|
| 436 |
+
"frightened",
|
| 437 |
+
"frown",
|
| 438 |
+
"frowning",
|
| 439 |
+
"froze",
|
| 440 |
+
"frozen",
|
| 441 |
+
"frustrated",
|
| 442 |
+
"fuck",
|
| 443 |
+
"fucking",
|
| 444 |
+
"furious",
|
| 445 |
+
"furniture",
|
| 446 |
+
"fury",
|
| 447 |
+
"gabe",
|
| 448 |
+
"games",
|
| 449 |
+
"garage",
|
| 450 |
+
"garrett",
|
| 451 |
+
"gary",
|
| 452 |
+
"gasp",
|
| 453 |
+
"gates",
|
| 454 |
+
"gather",
|
| 455 |
+
"gathering",
|
| 456 |
+
"gavin",
|
| 457 |
+
"gear",
|
| 458 |
+
"gesture",
|
| 459 |
+
"gestured",
|
| 460 |
+
"ghost",
|
| 461 |
+
"girlfriend",
|
| 462 |
+
"glances",
|
| 463 |
+
"glare",
|
| 464 |
+
"glowing",
|
| 465 |
+
"goodbye",
|
| 466 |
+
"gorgeous",
|
| 467 |
+
"government",
|
| 468 |
+
"gown",
|
| 469 |
+
"grabbing",
|
| 470 |
+
"graham",
|
| 471 |
+
"grand",
|
| 472 |
+
"grandfather",
|
| 473 |
+
"grandma",
|
| 474 |
+
"grant",
|
| 475 |
+
"grasp",
|
| 476 |
+
"grave",
|
| 477 |
+
"greeted",
|
| 478 |
+
"grief",
|
| 479 |
+
"grinning",
|
| 480 |
+
"groan",
|
| 481 |
+
"growl",
|
| 482 |
+
"guessed",
|
| 483 |
+
"guest",
|
| 484 |
+
"guests",
|
| 485 |
+
"guns",
|
| 486 |
+
"gwen",
|
| 487 |
+
"halfway",
|
| 488 |
+
"hank",
|
| 489 |
+
"hanna",
|
| 490 |
+
"happily",
|
| 491 |
+
"happiness",
|
| 492 |
+
"harry",
|
| 493 |
+
"harsh",
|
| 494 |
+
"heal",
|
| 495 |
+
"heartbeat",
|
| 496 |
+
"heaven",
|
| 497 |
+
"height",
|
| 498 |
+
"hero",
|
| 499 |
+
"hesitation",
|
| 500 |
+
"hissed",
|
| 501 |
+
"hitting",
|
| 502 |
+
"holds",
|
| 503 |
+
"holiday",
|
| 504 |
+
"holly",
|
| 505 |
+
"holy",
|
| 506 |
+
"honor",
|
| 507 |
+
"hopefully",
|
| 508 |
+
"horizon",
|
| 509 |
+
"houses",
|
| 510 |
+
"humor",
|
| 511 |
+
"hundreds",
|
| 512 |
+
"hunger",
|
| 513 |
+
"hunt",
|
| 514 |
+
"hunting",
|
| 515 |
+
"hurting",
|
| 516 |
+
"ideas",
|
| 517 |
+
"idiot",
|
| 518 |
+
"ignoring",
|
| 519 |
+
"images",
|
| 520 |
+
"imagination",
|
| 521 |
+
"impressed",
|
| 522 |
+
"impression",
|
| 523 |
+
"inches",
|
| 524 |
+
"including",
|
| 525 |
+
"incredible",
|
| 526 |
+
"incredibly",
|
| 527 |
+
"informed",
|
| 528 |
+
"injured",
|
| 529 |
+
"inner",
|
| 530 |
+
"insane",
|
| 531 |
+
"intended",
|
| 532 |
+
"intensity",
|
| 533 |
+
"invisible",
|
| 534 |
+
"invited",
|
| 535 |
+
"iron",
|
| 536 |
+
"isaac",
|
| 537 |
+
"issue",
|
| 538 |
+
"items",
|
| 539 |
+
"jamie",
|
| 540 |
+
"jared",
|
| 541 |
+
"jealous",
|
| 542 |
+
"jeremy",
|
| 543 |
+
"jerk",
|
| 544 |
+
"jess",
|
| 545 |
+
"jesus",
|
| 546 |
+
"jimmy",
|
| 547 |
+
"joey",
|
| 548 |
+
"johnny",
|
| 549 |
+
"jonas",
|
| 550 |
+
"jordan",
|
| 551 |
+
"joseph",
|
| 552 |
+
"joshua",
|
| 553 |
+
"josie",
|
| 554 |
+
"journey",
|
| 555 |
+
"judge",
|
| 556 |
+
"jumping",
|
| 557 |
+
"kane",
|
| 558 |
+
"karen",
|
| 559 |
+
"katherine",
|
| 560 |
+
"katie",
|
| 561 |
+
"keeps",
|
| 562 |
+
"kevin",
|
| 563 |
+
"kicking",
|
| 564 |
+
"kidding",
|
| 565 |
+
"killer",
|
| 566 |
+
"kisses",
|
| 567 |
+
"knelt",
|
| 568 |
+
"knocking",
|
| 569 |
+
"ladies",
|
| 570 |
+
"landing",
|
| 571 |
+
"language",
|
| 572 |
+
"larger",
|
| 573 |
+
"lately",
|
| 574 |
+
"laura",
|
| 575 |
+
"lauren",
|
| 576 |
+
"lawyer",
|
| 577 |
+
"lean",
|
| 578 |
+
"leapt",
|
| 579 |
+
"learning",
|
| 580 |
+
"lesson",
|
| 581 |
+
"letters",
|
| 582 |
+
"licked",
|
| 583 |
+
"lies",
|
| 584 |
+
"lifting",
|
| 585 |
+
"lightning",
|
| 586 |
+
"likes",
|
| 587 |
+
"lined",
|
| 588 |
+
"liquid",
|
| 589 |
+
"lobby",
|
| 590 |
+
"location",
|
| 591 |
+
"london",
|
| 592 |
+
"lonely",
|
| 593 |
+
"louder",
|
| 594 |
+
"lover",
|
| 595 |
+
"loves",
|
| 596 |
+
"loving",
|
| 597 |
+
"lucien",
|
| 598 |
+
"lucy",
|
| 599 |
+
"major",
|
| 600 |
+
"mama",
|
| 601 |
+
"manner",
|
| 602 |
+
"marks",
|
| 603 |
+
"martin",
|
| 604 |
+
"mask",
|
| 605 |
+
"mason",
|
| 606 |
+
"mass",
|
| 607 |
+
"massive",
|
| 608 |
+
"mate",
|
| 609 |
+
"material",
|
| 610 |
+
"mattered",
|
| 611 |
+
"matters",
|
| 612 |
+
"meaning",
|
| 613 |
+
"meat",
|
| 614 |
+
"medical",
|
| 615 |
+
"melissa",
|
| 616 |
+
"member",
|
| 617 |
+
"members",
|
| 618 |
+
"mental",
|
| 619 |
+
"mere",
|
| 620 |
+
"merely",
|
| 621 |
+
"midnight",
|
| 622 |
+
"military",
|
| 623 |
+
"minds",
|
| 624 |
+
"miranda",
|
| 625 |
+
"mist",
|
| 626 |
+
"mixed",
|
| 627 |
+
"moaned",
|
| 628 |
+
"monday",
|
| 629 |
+
"moonlight",
|
| 630 |
+
"morgan",
|
| 631 |
+
"mortal",
|
| 632 |
+
"motioned",
|
| 633 |
+
"mountains",
|
| 634 |
+
"movements",
|
| 635 |
+
"moves",
|
| 636 |
+
"movies",
|
| 637 |
+
"mumbled",
|
| 638 |
+
"muscle",
|
| 639 |
+
"mystery",
|
| 640 |
+
"nails",
|
| 641 |
+
"named",
|
| 642 |
+
"nathan",
|
| 643 |
+
"nearest",
|
| 644 |
+
"necklace",
|
| 645 |
+
"needing",
|
| 646 |
+
"nerves",
|
| 647 |
+
"nervously",
|
| 648 |
+
"nicolas",
|
| 649 |
+
"nicole",
|
| 650 |
+
"nightmare",
|
| 651 |
+
"nights",
|
| 652 |
+
"nina",
|
| 653 |
+
"nodding",
|
| 654 |
+
"nods",
|
| 655 |
+
"nora",
|
| 656 |
+
"noted",
|
| 657 |
+
"notes",
|
| 658 |
+
"numbers",
|
| 659 |
+
"object",
|
| 660 |
+
"occurred",
|
| 661 |
+
"offering",
|
| 662 |
+
"officers",
|
| 663 |
+
"oliver",
|
| 664 |
+
"opens",
|
| 665 |
+
"opinion",
|
| 666 |
+
"option",
|
| 667 |
+
"orange",
|
| 668 |
+
"ordinary",
|
| 669 |
+
"original",
|
| 670 |
+
"ourselves",
|
| 671 |
+
"overhead",
|
| 672 |
+
"owner",
|
| 673 |
+
"packed",
|
| 674 |
+
"pages",
|
| 675 |
+
"painful",
|
| 676 |
+
"paint",
|
| 677 |
+
"painted",
|
| 678 |
+
"painting",
|
| 679 |
+
"palace",
|
| 680 |
+
"palms",
|
| 681 |
+
"paris",
|
| 682 |
+
"parted",
|
| 683 |
+
"particularly",
|
| 684 |
+
"partner",
|
| 685 |
+
"parts",
|
| 686 |
+
"passenger",
|
| 687 |
+
"passion",
|
| 688 |
+
"patch",
|
| 689 |
+
"patience",
|
| 690 |
+
"patient",
|
| 691 |
+
"patrick",
|
| 692 |
+
"patted",
|
| 693 |
+
"paying",
|
| 694 |
+
"period",
|
| 695 |
+
"permission",
|
| 696 |
+
"pete",
|
| 697 |
+
"photo",
|
| 698 |
+
"pile",
|
| 699 |
+
"pillow",
|
| 700 |
+
"pissed",
|
| 701 |
+
"pity",
|
| 702 |
+
"placing",
|
| 703 |
+
"plain",
|
| 704 |
+
"planet",
|
| 705 |
+
"plastic",
|
| 706 |
+
"pleasant",
|
| 707 |
+
"plus",
|
| 708 |
+
"pockets",
|
| 709 |
+
"points",
|
| 710 |
+
"polite",
|
| 711 |
+
"popped",
|
| 712 |
+
"positive",
|
| 713 |
+
"possibility",
|
| 714 |
+
"potential",
|
| 715 |
+
"pounded",
|
| 716 |
+
"powers",
|
| 717 |
+
"precious",
|
| 718 |
+
"prefer",
|
| 719 |
+
"prepare",
|
| 720 |
+
"president",
|
| 721 |
+
"preston",
|
| 722 |
+
"pretend",
|
| 723 |
+
"pretending",
|
| 724 |
+
"previous",
|
| 725 |
+
"price",
|
| 726 |
+
"pride",
|
| 727 |
+
"princess",
|
| 728 |
+
"prison",
|
| 729 |
+
"professor",
|
| 730 |
+
"program",
|
| 731 |
+
"progress",
|
| 732 |
+
"project",
|
| 733 |
+
"proof",
|
| 734 |
+
"proper",
|
| 735 |
+
"property",
|
| 736 |
+
"protection",
|
| 737 |
+
"protest",
|
| 738 |
+
"provide",
|
| 739 |
+
"provided",
|
| 740 |
+
"pulse",
|
| 741 |
+
"punch",
|
| 742 |
+
"punched",
|
| 743 |
+
"pure",
|
| 744 |
+
"purple",
|
| 745 |
+
"puts",
|
| 746 |
+
"quinn",
|
| 747 |
+
"quit",
|
| 748 |
+
"racing",
|
| 749 |
+
"radio",
|
| 750 |
+
"rafe",
|
| 751 |
+
"raise",
|
| 752 |
+
"raising",
|
| 753 |
+
"rapidly",
|
| 754 |
+
"rare",
|
| 755 |
+
"rarely",
|
| 756 |
+
"reaches",
|
| 757 |
+
"react",
|
| 758 |
+
"realizing",
|
| 759 |
+
"rear",
|
| 760 |
+
"rebecca",
|
| 761 |
+
"recall",
|
| 762 |
+
"received",
|
| 763 |
+
"recently",
|
| 764 |
+
"record",
|
| 765 |
+
"reflection",
|
| 766 |
+
"refuse",
|
| 767 |
+
"regular",
|
| 768 |
+
"reluctantly",
|
| 769 |
+
"remaining",
|
| 770 |
+
"remains",
|
| 771 |
+
"remembering",
|
| 772 |
+
"remind",
|
| 773 |
+
"remove",
|
| 774 |
+
"replaced",
|
| 775 |
+
"request",
|
| 776 |
+
"required",
|
| 777 |
+
"rescue",
|
| 778 |
+
"research",
|
| 779 |
+
"resist",
|
| 780 |
+
"responsibility",
|
| 781 |
+
"responsible",
|
| 782 |
+
"result",
|
| 783 |
+
"returning",
|
| 784 |
+
"reveal",
|
| 785 |
+
"revealed",
|
| 786 |
+
"revealing",
|
| 787 |
+
"ribs",
|
| 788 |
+
"riding",
|
| 789 |
+
"rifle",
|
| 790 |
+
"roar",
|
| 791 |
+
"robe",
|
| 792 |
+
"robert",
|
| 793 |
+
"rode",
|
| 794 |
+
"rope",
|
| 795 |
+
"rubbing",
|
| 796 |
+
"ruin",
|
| 797 |
+
"ruined",
|
| 798 |
+
"rule",
|
| 799 |
+
"runs",
|
| 800 |
+
"rushing",
|
| 801 |
+
"sadly",
|
| 802 |
+
"sadness",
|
| 803 |
+
"sake",
|
| 804 |
+
"sally",
|
| 805 |
+
"satisfaction",
|
| 806 |
+
"satisfied",
|
| 807 |
+
"saturday",
|
| 808 |
+
"savannah",
|
| 809 |
+
"saving",
|
| 810 |
+
"scanned",
|
| 811 |
+
"scar",
|
| 812 |
+
"scare",
|
| 813 |
+
"scattered",
|
| 814 |
+
"scott",
|
| 815 |
+
"scrambled",
|
| 816 |
+
"screams",
|
| 817 |
+
"seated",
|
| 818 |
+
"seats",
|
| 819 |
+
"secrets",
|
| 820 |
+
"section",
|
| 821 |
+
"sees",
|
| 822 |
+
"self",
|
| 823 |
+
"sell",
|
| 824 |
+
"sensation",
|
| 825 |
+
"sensed",
|
| 826 |
+
"senses",
|
| 827 |
+
"sentence",
|
| 828 |
+
"separate",
|
| 829 |
+
"serena",
|
| 830 |
+
"series",
|
| 831 |
+
"serve",
|
| 832 |
+
"served",
|
| 833 |
+
"settle",
|
| 834 |
+
"sexy",
|
| 835 |
+
"shade",
|
| 836 |
+
"shakes",
|
| 837 |
+
"shame",
|
| 838 |
+
"sharply",
|
| 839 |
+
"shattered",
|
| 840 |
+
"sheet",
|
| 841 |
+
"sheets",
|
| 842 |
+
"sheriff",
|
| 843 |
+
"shield",
|
| 844 |
+
"shining",
|
| 845 |
+
"shiver",
|
| 846 |
+
"shivered",
|
| 847 |
+
"shooting",
|
| 848 |
+
"shopping",
|
| 849 |
+
"shore",
|
| 850 |
+
"shortly",
|
| 851 |
+
"shorts",
|
| 852 |
+
"shout",
|
| 853 |
+
"shouting",
|
| 854 |
+
"shown",
|
| 855 |
+
"shrug",
|
| 856 |
+
"shuddered",
|
| 857 |
+
"sidewalk",
|
| 858 |
+
"sideways",
|
| 859 |
+
"signal",
|
| 860 |
+
"signs",
|
| 861 |
+
"silk",
|
| 862 |
+
"silly",
|
| 863 |
+
"similar",
|
| 864 |
+
"sisters",
|
| 865 |
+
"site",
|
| 866 |
+
"sits",
|
| 867 |
+
"skills",
|
| 868 |
+
"skirt",
|
| 869 |
+
"skull",
|
| 870 |
+
"slapped",
|
| 871 |
+
"sleeve",
|
| 872 |
+
"slide",
|
| 873 |
+
"slipping",
|
| 874 |
+
"slowed",
|
| 875 |
+
"slumped",
|
| 876 |
+
"smaller",
|
| 877 |
+
"smith",
|
| 878 |
+
"snap",
|
| 879 |
+
"social",
|
| 880 |
+
"society",
|
| 881 |
+
"sofa",
|
| 882 |
+
"somewhat",
|
| 883 |
+
"sooner",
|
| 884 |
+
"sophia",
|
| 885 |
+
"sophie",
|
| 886 |
+
"souls",
|
| 887 |
+
"sounding",
|
| 888 |
+
"source",
|
| 889 |
+
"spare",
|
| 890 |
+
"speech",
|
| 891 |
+
"spencer",
|
| 892 |
+
"spending",
|
| 893 |
+
"spinning",
|
| 894 |
+
"split",
|
| 895 |
+
"spring",
|
| 896 |
+
"squeeze",
|
| 897 |
+
"stands",
|
| 898 |
+
"stated",
|
| 899 |
+
"statement",
|
| 900 |
+
"states",
|
| 901 |
+
"steal",
|
| 902 |
+
"stepping",
|
| 903 |
+
"stiff",
|
| 904 |
+
"stirred",
|
| 905 |
+
"stole",
|
| 906 |
+
"stones",
|
| 907 |
+
"stops",
|
| 908 |
+
"straightened",
|
| 909 |
+
"stream",
|
| 910 |
+
"stretch",
|
| 911 |
+
"strike",
|
| 912 |
+
"strode",
|
| 913 |
+
"stroked",
|
| 914 |
+
"struggle",
|
| 915 |
+
"struggling",
|
| 916 |
+
"student",
|
| 917 |
+
"students",
|
| 918 |
+
"studying",
|
| 919 |
+
"stuffed",
|
| 920 |
+
"style",
|
| 921 |
+
"success",
|
| 922 |
+
"suggest",
|
| 923 |
+
"sunday",
|
| 924 |
+
"sunlight",
|
| 925 |
+
"supplies",
|
| 926 |
+
"surprisingly",
|
| 927 |
+
"surrounding",
|
| 928 |
+
"survived",
|
| 929 |
+
"suspect",
|
| 930 |
+
"suspected",
|
| 931 |
+
"suspicious",
|
| 932 |
+
"swallow",
|
| 933 |
+
"sweetheart",
|
| 934 |
+
"swiftly",
|
| 935 |
+
"swing",
|
| 936 |
+
"switch",
|
| 937 |
+
"t-shirt",
|
| 938 |
+
"tables",
|
| 939 |
+
"tail",
|
| 940 |
+
"tapped",
|
| 941 |
+
"tara",
|
| 942 |
+
"target",
|
| 943 |
+
"task",
|
| 944 |
+
"tasted",
|
| 945 |
+
"taught",
|
| 946 |
+
"taylor",
|
| 947 |
+
"teach",
|
| 948 |
+
"teacher",
|
| 949 |
+
"teased",
|
| 950 |
+
"teasing",
|
| 951 |
+
"television",
|
| 952 |
+
"tells",
|
| 953 |
+
"temper",
|
| 954 |
+
"temple",
|
| 955 |
+
"tense",
|
| 956 |
+
"tent",
|
| 957 |
+
"terms",
|
| 958 |
+
"terrified",
|
| 959 |
+
"terror",
|
| 960 |
+
"tessa",
|
| 961 |
+
"text",
|
| 962 |
+
"thigh",
|
| 963 |
+
"thighs",
|
| 964 |
+
"thousands",
|
| 965 |
+
"threatened",
|
| 966 |
+
"threatening",
|
| 967 |
+
"throughout",
|
| 968 |
+
"thrown",
|
| 969 |
+
"thrust",
|
| 970 |
+
"tighter",
|
| 971 |
+
"till",
|
| 972 |
+
"tipped",
|
| 973 |
+
"toby",
|
| 974 |
+
"toes",
|
| 975 |
+
"tony",
|
| 976 |
+
"tore",
|
| 977 |
+
"torn",
|
| 978 |
+
"total",
|
| 979 |
+
"tough",
|
| 980 |
+
"towel",
|
| 981 |
+
"tower",
|
| 982 |
+
"trace",
|
| 983 |
+
"tracks",
|
| 984 |
+
"traffic",
|
| 985 |
+
"trailed",
|
| 986 |
+
"trained",
|
| 987 |
+
"trap",
|
| 988 |
+
"trapped",
|
| 989 |
+
"traveled",
|
| 990 |
+
"travis",
|
| 991 |
+
"tray",
|
| 992 |
+
"treat",
|
| 993 |
+
"treated",
|
| 994 |
+
"trembled",
|
| 995 |
+
"trevor",
|
| 996 |
+
"trick",
|
| 997 |
+
"tristan",
|
| 998 |
+
"trunk",
|
| 999 |
+
"trusted",
|
| 1000 |
+
"twelve",
|
| 1001 |
+
"ugly",
|
| 1002 |
+
"unconscious",
|
| 1003 |
+
"unexpected",
|
| 1004 |
+
"uniform",
|
| 1005 |
+
"universe",
|
| 1006 |
+
"unknown",
|
| 1007 |
+
"unlike",
|
| 1008 |
+
"unsure",
|
| 1009 |
+
"unusual",
|
| 1010 |
+
"upper",
|
| 1011 |
+
"upright",
|
| 1012 |
+
"upward",
|
| 1013 |
+
"useful",
|
| 1014 |
+
"useless",
|
| 1015 |
+
"valley",
|
| 1016 |
+
"vanished",
|
| 1017 |
+
"various",
|
| 1018 |
+
"vehicle",
|
| 1019 |
+
"veins",
|
| 1020 |
+
"victor",
|
| 1021 |
+
"video",
|
| 1022 |
+
"vincent",
|
| 1023 |
+
"violet",
|
| 1024 |
+
"visible",
|
| 1025 |
+
"vulnerable",
|
| 1026 |
+
"walks",
|
| 1027 |
+
"wandered",
|
| 1028 |
+
"warrior",
|
| 1029 |
+
"wash",
|
| 1030 |
+
"washed",
|
| 1031 |
+
"waving",
|
| 1032 |
+
"weather",
|
| 1033 |
+
"werewolf",
|
| 1034 |
+
"whipped",
|
| 1035 |
+
"whispers",
|
| 1036 |
+
"whom",
|
| 1037 |
+
"willow",
|
| 1038 |
+
"winced",
|
| 1039 |
+
"wings",
|
| 1040 |
+
"winked",
|
| 1041 |
+
"wise",
|
| 1042 |
+
"wishing",
|
| 1043 |
+
"witch",
|
| 1044 |
+
"wolves",
|
| 1045 |
+
"worn",
|
| 1046 |
+
"wounded",
|
| 1047 |
+
"wounds",
|
| 1048 |
+
"wrap",
|
| 1049 |
+
"wrapping",
|
| 1050 |
+
"wrists",
|
| 1051 |
+
"wrote",
|
| 1052 |
+
"xavier",
|
| 1053 |
+
"yanked",
|
| 1054 |
+
"yard",
|
| 1055 |
+
"yards",
|
| 1056 |
+
"yelling",
|
| 1057 |
+
"zach",
|
| 1058 |
+
],
|
| 1059 |
+
"obj_number": ["NN", "NNS"],
|
| 1060 |
+
"past_present": ["PAST", "PRES"],
|
| 1061 |
+
"sentence_length": [0, 1, 2, 3, 4, 5],
|
| 1062 |
+
"top_constituents": [
|
| 1063 |
+
"ADVP_NP_VP_.",
|
| 1064 |
+
"CC_ADVP_NP_VP_.",
|
| 1065 |
+
"CC_NP_VP_.",
|
| 1066 |
+
"IN_NP_VP_.",
|
| 1067 |
+
"NP_ADVP_VP_.",
|
| 1068 |
+
"NP_NP_VP_.",
|
| 1069 |
+
"NP_PP_.",
|
| 1070 |
+
"NP_VP_.",
|
| 1071 |
+
"OTHER",
|
| 1072 |
+
"PP_NP_VP_.",
|
| 1073 |
+
"RB_NP_VP_.",
|
| 1074 |
+
"SBAR_NP_VP_.",
|
| 1075 |
+
"SBAR_VP_.",
|
| 1076 |
+
"S_CC_S_.",
|
| 1077 |
+
"S_NP_VP_.",
|
| 1078 |
+
"S_VP_.",
|
| 1079 |
+
"VBD_NP_VP_.",
|
| 1080 |
+
"VP_.",
|
| 1081 |
+
"WHADVP_SQ_.",
|
| 1082 |
+
"WHNP_SQ_.",
|
| 1083 |
+
],
|
| 1084 |
+
"tree_depth": ["depth_5", "depth_6", "depth_7", "depth_8", "depth_9", "depth_10", "depth_11"],
|
| 1085 |
+
"coordination_inversion": ["I", "O"],
|
| 1086 |
+
"odd_man_out": ["C", "O"],
|
| 1087 |
+
"bigram_shift": ["I", "O"],
|
| 1088 |
+
}
|
| 1089 |
+
|
| 1090 |
+
|
| 1091 |
+
def get_labels(task):
|
| 1092 |
+
return TASK_TO_LABELS[task]
|
| 1093 |
+
|
| 1094 |
+
|
| 1095 |
+
class LinguisticprobingConfig(datasets.BuilderConfig):
|
| 1096 |
+
"""BuilderConfig for Linguisticprobing."""
|
| 1097 |
+
|
| 1098 |
+
def __init__(
|
| 1099 |
+
self,
|
| 1100 |
+
text_features,
|
| 1101 |
+
label_classes=None,
|
| 1102 |
+
process_label=lambda x: x,
|
| 1103 |
+
**kwargs,
|
| 1104 |
+
):
|
| 1105 |
+
"""BuilderConfig for Linguisticprobing.
|
| 1106 |
+
Args:
|
| 1107 |
+
text_features: `dict[string, string]`, map from the name of the feature
|
| 1108 |
+
dict for each text field to the name of the column in the tsv file
|
| 1109 |
+
label_column: `string`, name of the column in the tsv file corresponding
|
| 1110 |
+
to the label
|
| 1111 |
+
data_url: `string`, url to download the zip file from
|
| 1112 |
+
data_dir: `string`, the path to the folder containing the tsv files in the
|
| 1113 |
+
downloaded zip
|
| 1114 |
+
citation: `string`, citation for the data set
|
| 1115 |
+
url: `string`, url for information about the data set
|
| 1116 |
+
label_classes: `list[string]`, the list of classes if the label is
|
| 1117 |
+
categorical. If not provided, then the label will be of type
|
| 1118 |
+
`datasets.Value('float32')`.
|
| 1119 |
+
process_label: `Function[string, any]`, function taking in the raw value
|
| 1120 |
+
of the label and processing it to the form required by the label feature
|
| 1121 |
+
**kwargs: keyword arguments forwarded to super.
|
| 1122 |
+
"""
|
| 1123 |
+
|
| 1124 |
+
super(LinguisticprobingConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
|
| 1125 |
+
|
| 1126 |
+
self.text_features = text_features
|
| 1127 |
+
self.label_column = "label"
|
| 1128 |
+
self.label_classes = get_labels(self.name)
|
| 1129 |
+
self.data_url = DATA_URL
|
| 1130 |
+
self.data_dir = os.path.join("linguisticprobing", self.name)
|
| 1131 |
+
self.citation = textwrap.dedent(_Linguisticprobing_CITATION)
|
| 1132 |
+
self.process_label = process_label
|
| 1133 |
+
self.description = ""
|
| 1134 |
+
self.url = ""
|
| 1135 |
+
|
| 1136 |
+
|
| 1137 |
+
class Linguisticprobing(datasets.GeneratorBasedBuilder):
|
| 1138 |
+
|
| 1139 |
+
"""The General Language Understanding Evaluation (Linguisticprobing) benchmark."""
|
| 1140 |
+
|
| 1141 |
+
BUILDER_CONFIG_CLASS = LinguisticprobingConfig
|
| 1142 |
+
|
| 1143 |
+
BUILDER_CONFIGS = [
|
| 1144 |
+
LinguisticprobingConfig(
|
| 1145 |
+
name="subj_number",
|
| 1146 |
+
text_features={"sentence": "sentence"},
|
| 1147 |
+
),
|
| 1148 |
+
LinguisticprobingConfig(
|
| 1149 |
+
name="word_content",
|
| 1150 |
+
text_features={"sentence": "sentence"},
|
| 1151 |
+
),
|
| 1152 |
+
LinguisticprobingConfig(
|
| 1153 |
+
name="obj_number",
|
| 1154 |
+
text_features={"sentence": "sentence"},
|
| 1155 |
+
),
|
| 1156 |
+
LinguisticprobingConfig(
|
| 1157 |
+
name="past_present",
|
| 1158 |
+
text_features={"sentence": "sentence"},
|
| 1159 |
+
),
|
| 1160 |
+
LinguisticprobingConfig(
|
| 1161 |
+
name="sentence_length",
|
| 1162 |
+
text_features={"sentence": "sentence"},
|
| 1163 |
+
),
|
| 1164 |
+
LinguisticprobingConfig(
|
| 1165 |
+
name="top_constituents",
|
| 1166 |
+
text_features={"sentence": "sentence"},
|
| 1167 |
+
),
|
| 1168 |
+
LinguisticprobingConfig(
|
| 1169 |
+
name="tree_depth",
|
| 1170 |
+
text_features={"sentence": "sentence"},
|
| 1171 |
+
),
|
| 1172 |
+
LinguisticprobingConfig(
|
| 1173 |
+
name="coordination_inversion",
|
| 1174 |
+
text_features={"sentence": "sentence"},
|
| 1175 |
+
),
|
| 1176 |
+
LinguisticprobingConfig(
|
| 1177 |
+
name="odd_man_out",
|
| 1178 |
+
text_features={"sentence": "sentence"},
|
| 1179 |
+
),
|
| 1180 |
+
LinguisticprobingConfig(
|
| 1181 |
+
name="bigram_shift",
|
| 1182 |
+
text_features={"sentence": "sentence"},
|
| 1183 |
+
),
|
| 1184 |
+
]
|
| 1185 |
+
|
| 1186 |
+
def _info(self):
|
| 1187 |
+
features = {text_feature: datasets.Value("string") for text_feature in six.iterkeys(self.config.text_features)}
|
| 1188 |
+
if self.config.label_classes:
|
| 1189 |
+
features["label"] = datasets.features.ClassLabel(names=self.config.label_classes)
|
| 1190 |
+
else:
|
| 1191 |
+
features["label"] = datasets.Value("float32")
|
| 1192 |
+
features["idx"] = datasets.Value("int32")
|
| 1193 |
+
return datasets.DatasetInfo(
|
| 1194 |
+
description=_Linguisticprobing_DESCRIPTION,
|
| 1195 |
+
features=datasets.Features(features),
|
| 1196 |
+
homepage=self.config.url,
|
| 1197 |
+
citation=self.config.citation + "\n" + _Linguisticprobing_CITATION,
|
| 1198 |
+
)
|
| 1199 |
+
|
| 1200 |
+
def _split_generators(self, dl_manager):
|
| 1201 |
+
dl_dir = dl_manager.download_and_extract(self.config.data_url)
|
| 1202 |
+
data_dir = os.path.join(dl_dir, self.config.data_dir)
|
| 1203 |
+
|
| 1204 |
+
return [
|
| 1205 |
+
datasets.SplitGenerator(
|
| 1206 |
+
name=datasets.Split.TRAIN,
|
| 1207 |
+
gen_kwargs={
|
| 1208 |
+
"data_file": os.path.join(data_dir or "", "train.tsv"),
|
| 1209 |
+
"split": "train",
|
| 1210 |
+
},
|
| 1211 |
+
),
|
| 1212 |
+
datasets.SplitGenerator(
|
| 1213 |
+
name=datasets.Split.VALIDATION,
|
| 1214 |
+
gen_kwargs={
|
| 1215 |
+
"data_file": os.path.join(data_dir or "", "dev.tsv"),
|
| 1216 |
+
"split": "dev",
|
| 1217 |
+
},
|
| 1218 |
+
),
|
| 1219 |
+
datasets.SplitGenerator(
|
| 1220 |
+
name=datasets.Split.TEST,
|
| 1221 |
+
gen_kwargs={
|
| 1222 |
+
"data_file": os.path.join(data_dir or "", "test.tsv"),
|
| 1223 |
+
"split": "test",
|
| 1224 |
+
},
|
| 1225 |
+
),
|
| 1226 |
+
]
|
| 1227 |
+
|
| 1228 |
+
def _generate_examples(self, data_file, split):
|
| 1229 |
+
|
| 1230 |
+
process_label = self.config.process_label
|
| 1231 |
+
label_classes = self.config.label_classes
|
| 1232 |
+
|
| 1233 |
+
with open(data_file, encoding="utf8") as f:
|
| 1234 |
+
reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
|
| 1235 |
+
|
| 1236 |
+
for n, row in enumerate(reader):
|
| 1237 |
+
|
| 1238 |
+
example = {feat: row[col] for feat, col in six.iteritems(self.config.text_features)}
|
| 1239 |
+
example["idx"] = n
|
| 1240 |
+
|
| 1241 |
+
if self.config.label_column in row:
|
| 1242 |
+
label = row[self.config.label_column]
|
| 1243 |
+
if label_classes and label not in label_classes:
|
| 1244 |
+
label = int(label) if label else None
|
| 1245 |
+
example["label"] = process_label(label)
|
| 1246 |
+
else:
|
| 1247 |
+
example["label"] = process_label(-1)
|
| 1248 |
+
yield example["idx"], example
|