Datasets:
Commit
·
0de2392
1
Parent(s):
11762d9
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -703
dataset_infos.json
DELETED
|
@@ -1,703 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"cola": {
|
| 3 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 4 |
-
"citation": "@article{warstadt2018neural,\n title={Neural Network Acceptability Judgments},\n author={Warstadt, Alex and Singh, Amanpreet and Bowman, Samuel R},\n journal={arXiv preprint arXiv:1805.12471},\n year={2018}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 5 |
-
"homepage": "https://nyu-mll.github.io/CoLA/",
|
| 6 |
-
"license": "",
|
| 7 |
-
"features": {
|
| 8 |
-
"sentence": {
|
| 9 |
-
"dtype": "string",
|
| 10 |
-
"_type": "Value"
|
| 11 |
-
},
|
| 12 |
-
"label": {
|
| 13 |
-
"names": [
|
| 14 |
-
"unacceptable",
|
| 15 |
-
"acceptable"
|
| 16 |
-
],
|
| 17 |
-
"_type": "ClassLabel"
|
| 18 |
-
},
|
| 19 |
-
"idx": {
|
| 20 |
-
"dtype": "int32",
|
| 21 |
-
"_type": "Value"
|
| 22 |
-
}
|
| 23 |
-
},
|
| 24 |
-
"builder_name": "glue",
|
| 25 |
-
"dataset_name": "glue",
|
| 26 |
-
"config_name": "cola",
|
| 27 |
-
"version": {
|
| 28 |
-
"version_str": "1.0.0",
|
| 29 |
-
"description": "",
|
| 30 |
-
"major": 1,
|
| 31 |
-
"minor": 0,
|
| 32 |
-
"patch": 0
|
| 33 |
-
},
|
| 34 |
-
"splits": {
|
| 35 |
-
"train": {
|
| 36 |
-
"name": "train",
|
| 37 |
-
"num_bytes": 484869,
|
| 38 |
-
"num_examples": 8551,
|
| 39 |
-
"dataset_name": null
|
| 40 |
-
},
|
| 41 |
-
"validation": {
|
| 42 |
-
"name": "validation",
|
| 43 |
-
"num_bytes": 60322,
|
| 44 |
-
"num_examples": 1043,
|
| 45 |
-
"dataset_name": null
|
| 46 |
-
},
|
| 47 |
-
"test": {
|
| 48 |
-
"name": "test",
|
| 49 |
-
"num_bytes": 60513,
|
| 50 |
-
"num_examples": 1063,
|
| 51 |
-
"dataset_name": null
|
| 52 |
-
}
|
| 53 |
-
},
|
| 54 |
-
"download_size": 326394,
|
| 55 |
-
"dataset_size": 605704,
|
| 56 |
-
"size_in_bytes": 932098
|
| 57 |
-
},
|
| 58 |
-
"sst2": {
|
| 59 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 60 |
-
"citation": "@inproceedings{socher2013recursive,\n title={Recursive deep models for semantic compositionality over a sentiment treebank},\n author={Socher, Richard and Perelygin, Alex and Wu, Jean and Chuang, Jason and Manning, Christopher D and Ng, Andrew and Potts, Christopher},\n booktitle={Proceedings of the 2013 conference on empirical methods in natural language processing},\n pages={1631--1642},\n year={2013}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 61 |
-
"homepage": "https://datasets.stanford.edu/sentiment/index.html",
|
| 62 |
-
"license": "",
|
| 63 |
-
"features": {
|
| 64 |
-
"sentence": {
|
| 65 |
-
"dtype": "string",
|
| 66 |
-
"_type": "Value"
|
| 67 |
-
},
|
| 68 |
-
"label": {
|
| 69 |
-
"names": [
|
| 70 |
-
"negative",
|
| 71 |
-
"positive"
|
| 72 |
-
],
|
| 73 |
-
"_type": "ClassLabel"
|
| 74 |
-
},
|
| 75 |
-
"idx": {
|
| 76 |
-
"dtype": "int32",
|
| 77 |
-
"_type": "Value"
|
| 78 |
-
}
|
| 79 |
-
},
|
| 80 |
-
"builder_name": "glue",
|
| 81 |
-
"dataset_name": "glue",
|
| 82 |
-
"config_name": "sst2",
|
| 83 |
-
"version": {
|
| 84 |
-
"version_str": "1.0.0",
|
| 85 |
-
"description": "",
|
| 86 |
-
"major": 1,
|
| 87 |
-
"minor": 0,
|
| 88 |
-
"patch": 0
|
| 89 |
-
},
|
| 90 |
-
"splits": {
|
| 91 |
-
"train": {
|
| 92 |
-
"name": "train",
|
| 93 |
-
"num_bytes": 4681603,
|
| 94 |
-
"num_examples": 67349,
|
| 95 |
-
"dataset_name": null
|
| 96 |
-
},
|
| 97 |
-
"validation": {
|
| 98 |
-
"name": "validation",
|
| 99 |
-
"num_bytes": 106252,
|
| 100 |
-
"num_examples": 872,
|
| 101 |
-
"dataset_name": null
|
| 102 |
-
},
|
| 103 |
-
"test": {
|
| 104 |
-
"name": "test",
|
| 105 |
-
"num_bytes": 216640,
|
| 106 |
-
"num_examples": 1821,
|
| 107 |
-
"dataset_name": null
|
| 108 |
-
}
|
| 109 |
-
},
|
| 110 |
-
"download_size": 3331080,
|
| 111 |
-
"dataset_size": 5004495,
|
| 112 |
-
"size_in_bytes": 8335575
|
| 113 |
-
},
|
| 114 |
-
"mrpc": {
|
| 115 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 116 |
-
"citation": "@inproceedings{dolan2005automatically,\n title={Automatically constructing a corpus of sentential paraphrases},\n author={Dolan, William B and Brockett, Chris},\n booktitle={Proceedings of the Third International Workshop on Paraphrasing (IWP2005)},\n year={2005}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 117 |
-
"homepage": "https://www.microsoft.com/en-us/download/details.aspx?id=52398",
|
| 118 |
-
"license": "",
|
| 119 |
-
"features": {
|
| 120 |
-
"sentence1": {
|
| 121 |
-
"dtype": "string",
|
| 122 |
-
"_type": "Value"
|
| 123 |
-
},
|
| 124 |
-
"sentence2": {
|
| 125 |
-
"dtype": "string",
|
| 126 |
-
"_type": "Value"
|
| 127 |
-
},
|
| 128 |
-
"label": {
|
| 129 |
-
"names": [
|
| 130 |
-
"not_equivalent",
|
| 131 |
-
"equivalent"
|
| 132 |
-
],
|
| 133 |
-
"_type": "ClassLabel"
|
| 134 |
-
},
|
| 135 |
-
"idx": {
|
| 136 |
-
"dtype": "int32",
|
| 137 |
-
"_type": "Value"
|
| 138 |
-
}
|
| 139 |
-
},
|
| 140 |
-
"builder_name": "glue",
|
| 141 |
-
"dataset_name": "glue",
|
| 142 |
-
"config_name": "mrpc",
|
| 143 |
-
"version": {
|
| 144 |
-
"version_str": "1.0.0",
|
| 145 |
-
"description": "",
|
| 146 |
-
"major": 1,
|
| 147 |
-
"minor": 0,
|
| 148 |
-
"patch": 0
|
| 149 |
-
},
|
| 150 |
-
"splits": {
|
| 151 |
-
"train": {
|
| 152 |
-
"name": "train",
|
| 153 |
-
"num_bytes": 943843,
|
| 154 |
-
"num_examples": 3668,
|
| 155 |
-
"dataset_name": null
|
| 156 |
-
},
|
| 157 |
-
"validation": {
|
| 158 |
-
"name": "validation",
|
| 159 |
-
"num_bytes": 105879,
|
| 160 |
-
"num_examples": 408,
|
| 161 |
-
"dataset_name": null
|
| 162 |
-
},
|
| 163 |
-
"test": {
|
| 164 |
-
"name": "test",
|
| 165 |
-
"num_bytes": 442410,
|
| 166 |
-
"num_examples": 1725,
|
| 167 |
-
"dataset_name": null
|
| 168 |
-
}
|
| 169 |
-
},
|
| 170 |
-
"download_size": 1033400,
|
| 171 |
-
"dataset_size": 1492132,
|
| 172 |
-
"size_in_bytes": 2525532
|
| 173 |
-
},
|
| 174 |
-
"qqp": {
|
| 175 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 176 |
-
"citation": "@online{WinNT,\n author = {Iyer, Shankar and Dandekar, Nikhil and Csernai, Kornel},\n title = {First Quora Dataset Release: Question Pairs},\n year = {2017},\n url = {https://data.quora.com/First-Quora-Dataset-Release-Question-Pairs},\n urldate = {2019-04-03}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 177 |
-
"homepage": "https://data.quora.com/First-Quora-Dataset-Release-Question-Pairs",
|
| 178 |
-
"license": "",
|
| 179 |
-
"features": {
|
| 180 |
-
"question1": {
|
| 181 |
-
"dtype": "string",
|
| 182 |
-
"_type": "Value"
|
| 183 |
-
},
|
| 184 |
-
"question2": {
|
| 185 |
-
"dtype": "string",
|
| 186 |
-
"_type": "Value"
|
| 187 |
-
},
|
| 188 |
-
"label": {
|
| 189 |
-
"names": [
|
| 190 |
-
"not_duplicate",
|
| 191 |
-
"duplicate"
|
| 192 |
-
],
|
| 193 |
-
"_type": "ClassLabel"
|
| 194 |
-
},
|
| 195 |
-
"idx": {
|
| 196 |
-
"dtype": "int32",
|
| 197 |
-
"_type": "Value"
|
| 198 |
-
}
|
| 199 |
-
},
|
| 200 |
-
"builder_name": "glue",
|
| 201 |
-
"dataset_name": "glue",
|
| 202 |
-
"config_name": "qqp",
|
| 203 |
-
"version": {
|
| 204 |
-
"version_str": "1.0.0",
|
| 205 |
-
"description": "",
|
| 206 |
-
"major": 1,
|
| 207 |
-
"minor": 0,
|
| 208 |
-
"patch": 0
|
| 209 |
-
},
|
| 210 |
-
"splits": {
|
| 211 |
-
"train": {
|
| 212 |
-
"name": "train",
|
| 213 |
-
"num_bytes": 50900820,
|
| 214 |
-
"num_examples": 363846,
|
| 215 |
-
"dataset_name": null
|
| 216 |
-
},
|
| 217 |
-
"validation": {
|
| 218 |
-
"name": "validation",
|
| 219 |
-
"num_bytes": 5653754,
|
| 220 |
-
"num_examples": 40430,
|
| 221 |
-
"dataset_name": null
|
| 222 |
-
},
|
| 223 |
-
"test": {
|
| 224 |
-
"name": "test",
|
| 225 |
-
"num_bytes": 55171111,
|
| 226 |
-
"num_examples": 390965,
|
| 227 |
-
"dataset_name": null
|
| 228 |
-
}
|
| 229 |
-
},
|
| 230 |
-
"download_size": 73982265,
|
| 231 |
-
"dataset_size": 111725685,
|
| 232 |
-
"size_in_bytes": 185707950
|
| 233 |
-
},
|
| 234 |
-
"stsb": {
|
| 235 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 236 |
-
"citation": "@article{cer2017semeval,\n title={Semeval-2017 task 1: Semantic textual similarity-multilingual and cross-lingual focused evaluation},\n author={Cer, Daniel and Diab, Mona and Agirre, Eneko and Lopez-Gazpio, Inigo and Specia, Lucia},\n journal={arXiv preprint arXiv:1708.00055},\n year={2017}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 237 |
-
"homepage": "http://ixa2.si.ehu.es/stswiki/index.php/STSbenchmark",
|
| 238 |
-
"license": "",
|
| 239 |
-
"features": {
|
| 240 |
-
"sentence1": {
|
| 241 |
-
"dtype": "string",
|
| 242 |
-
"_type": "Value"
|
| 243 |
-
},
|
| 244 |
-
"sentence2": {
|
| 245 |
-
"dtype": "string",
|
| 246 |
-
"_type": "Value"
|
| 247 |
-
},
|
| 248 |
-
"label": {
|
| 249 |
-
"dtype": "float32",
|
| 250 |
-
"_type": "Value"
|
| 251 |
-
},
|
| 252 |
-
"idx": {
|
| 253 |
-
"dtype": "int32",
|
| 254 |
-
"_type": "Value"
|
| 255 |
-
}
|
| 256 |
-
},
|
| 257 |
-
"builder_name": "glue",
|
| 258 |
-
"dataset_name": "glue",
|
| 259 |
-
"config_name": "stsb",
|
| 260 |
-
"version": {
|
| 261 |
-
"version_str": "1.0.0",
|
| 262 |
-
"description": "",
|
| 263 |
-
"major": 1,
|
| 264 |
-
"minor": 0,
|
| 265 |
-
"patch": 0
|
| 266 |
-
},
|
| 267 |
-
"splits": {
|
| 268 |
-
"train": {
|
| 269 |
-
"name": "train",
|
| 270 |
-
"num_bytes": 754791,
|
| 271 |
-
"num_examples": 5749,
|
| 272 |
-
"dataset_name": null
|
| 273 |
-
},
|
| 274 |
-
"validation": {
|
| 275 |
-
"name": "validation",
|
| 276 |
-
"num_bytes": 216064,
|
| 277 |
-
"num_examples": 1500,
|
| 278 |
-
"dataset_name": null
|
| 279 |
-
},
|
| 280 |
-
"test": {
|
| 281 |
-
"name": "test",
|
| 282 |
-
"num_bytes": 169974,
|
| 283 |
-
"num_examples": 1379,
|
| 284 |
-
"dataset_name": null
|
| 285 |
-
}
|
| 286 |
-
},
|
| 287 |
-
"download_size": 766983,
|
| 288 |
-
"dataset_size": 1140829,
|
| 289 |
-
"size_in_bytes": 1907812
|
| 290 |
-
},
|
| 291 |
-
"mnli": {
|
| 292 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 293 |
-
"citation": "@InProceedings{N18-1101,\n author = \"Williams, Adina\n and Nangia, Nikita\n and Bowman, Samuel\",\n title = \"A Broad-Coverage Challenge Corpus for\n Sentence Understanding through Inference\",\n booktitle = \"Proceedings of the 2018 Conference of\n the North American Chapter of the\n Association for Computational Linguistics:\n Human Language Technologies, Volume 1 (Long\n Papers)\",\n year = \"2018\",\n publisher = \"Association for Computational Linguistics\",\n pages = \"1112--1122\",\n location = \"New Orleans, Louisiana\",\n url = \"http://aclweb.org/anthology/N18-1101\"\n}\n@article{bowman2015large,\n title={A large annotated corpus for learning natural language inference},\n author={Bowman, Samuel R and Angeli, Gabor and Potts, Christopher and Manning, Christopher D},\n journal={arXiv preprint arXiv:1508.05326},\n year={2015}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 294 |
-
"homepage": "http://www.nyu.edu/projects/bowman/multinli/",
|
| 295 |
-
"license": "",
|
| 296 |
-
"features": {
|
| 297 |
-
"premise": {
|
| 298 |
-
"dtype": "string",
|
| 299 |
-
"_type": "Value"
|
| 300 |
-
},
|
| 301 |
-
"hypothesis": {
|
| 302 |
-
"dtype": "string",
|
| 303 |
-
"_type": "Value"
|
| 304 |
-
},
|
| 305 |
-
"label": {
|
| 306 |
-
"names": [
|
| 307 |
-
"entailment",
|
| 308 |
-
"neutral",
|
| 309 |
-
"contradiction"
|
| 310 |
-
],
|
| 311 |
-
"_type": "ClassLabel"
|
| 312 |
-
},
|
| 313 |
-
"idx": {
|
| 314 |
-
"dtype": "int32",
|
| 315 |
-
"_type": "Value"
|
| 316 |
-
}
|
| 317 |
-
},
|
| 318 |
-
"builder_name": "glue",
|
| 319 |
-
"dataset_name": "glue",
|
| 320 |
-
"config_name": "mnli",
|
| 321 |
-
"version": {
|
| 322 |
-
"version_str": "1.0.0",
|
| 323 |
-
"description": "",
|
| 324 |
-
"major": 1,
|
| 325 |
-
"minor": 0,
|
| 326 |
-
"patch": 0
|
| 327 |
-
},
|
| 328 |
-
"splits": {
|
| 329 |
-
"train": {
|
| 330 |
-
"name": "train",
|
| 331 |
-
"num_bytes": 74619646,
|
| 332 |
-
"num_examples": 392702,
|
| 333 |
-
"dataset_name": null
|
| 334 |
-
},
|
| 335 |
-
"validation_matched": {
|
| 336 |
-
"name": "validation_matched",
|
| 337 |
-
"num_bytes": 1833783,
|
| 338 |
-
"num_examples": 9815,
|
| 339 |
-
"dataset_name": null
|
| 340 |
-
},
|
| 341 |
-
"validation_mismatched": {
|
| 342 |
-
"name": "validation_mismatched",
|
| 343 |
-
"num_bytes": 1949231,
|
| 344 |
-
"num_examples": 9832,
|
| 345 |
-
"dataset_name": null
|
| 346 |
-
},
|
| 347 |
-
"test_matched": {
|
| 348 |
-
"name": "test_matched",
|
| 349 |
-
"num_bytes": 1848654,
|
| 350 |
-
"num_examples": 9796,
|
| 351 |
-
"dataset_name": null
|
| 352 |
-
},
|
| 353 |
-
"test_mismatched": {
|
| 354 |
-
"name": "test_mismatched",
|
| 355 |
-
"num_bytes": 1950703,
|
| 356 |
-
"num_examples": 9847,
|
| 357 |
-
"dataset_name": null
|
| 358 |
-
}
|
| 359 |
-
},
|
| 360 |
-
"download_size": 57168425,
|
| 361 |
-
"dataset_size": 82202017,
|
| 362 |
-
"size_in_bytes": 139370442
|
| 363 |
-
},
|
| 364 |
-
"mnli_mismatched": {
|
| 365 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 366 |
-
"citation": "@InProceedings{N18-1101,\n author = \"Williams, Adina\n and Nangia, Nikita\n and Bowman, Samuel\",\n title = \"A Broad-Coverage Challenge Corpus for\n Sentence Understanding through Inference\",\n booktitle = \"Proceedings of the 2018 Conference of\n the North American Chapter of the\n Association for Computational Linguistics:\n Human Language Technologies, Volume 1 (Long\n Papers)\",\n year = \"2018\",\n publisher = \"Association for Computational Linguistics\",\n pages = \"1112--1122\",\n location = \"New Orleans, Louisiana\",\n url = \"http://aclweb.org/anthology/N18-1101\"\n}\n@article{bowman2015large,\n title={A large annotated corpus for learning natural language inference},\n author={Bowman, Samuel R and Angeli, Gabor and Potts, Christopher and Manning, Christopher D},\n journal={arXiv preprint arXiv:1508.05326},\n year={2015}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 367 |
-
"homepage": "http://www.nyu.edu/projects/bowman/multinli/",
|
| 368 |
-
"license": "",
|
| 369 |
-
"features": {
|
| 370 |
-
"premise": {
|
| 371 |
-
"dtype": "string",
|
| 372 |
-
"_type": "Value"
|
| 373 |
-
},
|
| 374 |
-
"hypothesis": {
|
| 375 |
-
"dtype": "string",
|
| 376 |
-
"_type": "Value"
|
| 377 |
-
},
|
| 378 |
-
"label": {
|
| 379 |
-
"names": [
|
| 380 |
-
"entailment",
|
| 381 |
-
"neutral",
|
| 382 |
-
"contradiction"
|
| 383 |
-
],
|
| 384 |
-
"_type": "ClassLabel"
|
| 385 |
-
},
|
| 386 |
-
"idx": {
|
| 387 |
-
"dtype": "int32",
|
| 388 |
-
"_type": "Value"
|
| 389 |
-
}
|
| 390 |
-
},
|
| 391 |
-
"builder_name": "glue",
|
| 392 |
-
"dataset_name": "glue",
|
| 393 |
-
"config_name": "mnli_mismatched",
|
| 394 |
-
"version": {
|
| 395 |
-
"version_str": "1.0.0",
|
| 396 |
-
"description": "",
|
| 397 |
-
"major": 1,
|
| 398 |
-
"minor": 0,
|
| 399 |
-
"patch": 0
|
| 400 |
-
},
|
| 401 |
-
"splits": {
|
| 402 |
-
"validation": {
|
| 403 |
-
"name": "validation",
|
| 404 |
-
"num_bytes": 1949231,
|
| 405 |
-
"num_examples": 9832,
|
| 406 |
-
"dataset_name": null
|
| 407 |
-
},
|
| 408 |
-
"test": {
|
| 409 |
-
"name": "test",
|
| 410 |
-
"num_bytes": 1950703,
|
| 411 |
-
"num_examples": 9847,
|
| 412 |
-
"dataset_name": null
|
| 413 |
-
}
|
| 414 |
-
},
|
| 415 |
-
"download_size": 2509009,
|
| 416 |
-
"dataset_size": 3899934,
|
| 417 |
-
"size_in_bytes": 6408943
|
| 418 |
-
},
|
| 419 |
-
"mnli_matched": {
|
| 420 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 421 |
-
"citation": "@InProceedings{N18-1101,\n author = \"Williams, Adina\n and Nangia, Nikita\n and Bowman, Samuel\",\n title = \"A Broad-Coverage Challenge Corpus for\n Sentence Understanding through Inference\",\n booktitle = \"Proceedings of the 2018 Conference of\n the North American Chapter of the\n Association for Computational Linguistics:\n Human Language Technologies, Volume 1 (Long\n Papers)\",\n year = \"2018\",\n publisher = \"Association for Computational Linguistics\",\n pages = \"1112--1122\",\n location = \"New Orleans, Louisiana\",\n url = \"http://aclweb.org/anthology/N18-1101\"\n}\n@article{bowman2015large,\n title={A large annotated corpus for learning natural language inference},\n author={Bowman, Samuel R and Angeli, Gabor and Potts, Christopher and Manning, Christopher D},\n journal={arXiv preprint arXiv:1508.05326},\n year={2015}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 422 |
-
"homepage": "http://www.nyu.edu/projects/bowman/multinli/",
|
| 423 |
-
"license": "",
|
| 424 |
-
"features": {
|
| 425 |
-
"premise": {
|
| 426 |
-
"dtype": "string",
|
| 427 |
-
"_type": "Value"
|
| 428 |
-
},
|
| 429 |
-
"hypothesis": {
|
| 430 |
-
"dtype": "string",
|
| 431 |
-
"_type": "Value"
|
| 432 |
-
},
|
| 433 |
-
"label": {
|
| 434 |
-
"names": [
|
| 435 |
-
"entailment",
|
| 436 |
-
"neutral",
|
| 437 |
-
"contradiction"
|
| 438 |
-
],
|
| 439 |
-
"_type": "ClassLabel"
|
| 440 |
-
},
|
| 441 |
-
"idx": {
|
| 442 |
-
"dtype": "int32",
|
| 443 |
-
"_type": "Value"
|
| 444 |
-
}
|
| 445 |
-
},
|
| 446 |
-
"builder_name": "glue",
|
| 447 |
-
"dataset_name": "glue",
|
| 448 |
-
"config_name": "mnli_matched",
|
| 449 |
-
"version": {
|
| 450 |
-
"version_str": "1.0.0",
|
| 451 |
-
"description": "",
|
| 452 |
-
"major": 1,
|
| 453 |
-
"minor": 0,
|
| 454 |
-
"patch": 0
|
| 455 |
-
},
|
| 456 |
-
"splits": {
|
| 457 |
-
"validation": {
|
| 458 |
-
"name": "validation",
|
| 459 |
-
"num_bytes": 1833783,
|
| 460 |
-
"num_examples": 9815,
|
| 461 |
-
"dataset_name": null
|
| 462 |
-
},
|
| 463 |
-
"test": {
|
| 464 |
-
"name": "test",
|
| 465 |
-
"num_bytes": 1848654,
|
| 466 |
-
"num_examples": 9796,
|
| 467 |
-
"dataset_name": null
|
| 468 |
-
}
|
| 469 |
-
},
|
| 470 |
-
"download_size": 2435055,
|
| 471 |
-
"dataset_size": 3682437,
|
| 472 |
-
"size_in_bytes": 6117492
|
| 473 |
-
},
|
| 474 |
-
"qnli": {
|
| 475 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 476 |
-
"citation": "@article{rajpurkar2016squad,\n title={Squad: 100,000+ questions for machine comprehension of text},\n author={Rajpurkar, Pranav and Zhang, Jian and Lopyrev, Konstantin and Liang, Percy},\n journal={arXiv preprint arXiv:1606.05250},\n year={2016}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 477 |
-
"homepage": "https://rajpurkar.github.io/SQuAD-explorer/",
|
| 478 |
-
"license": "",
|
| 479 |
-
"features": {
|
| 480 |
-
"question": {
|
| 481 |
-
"dtype": "string",
|
| 482 |
-
"_type": "Value"
|
| 483 |
-
},
|
| 484 |
-
"sentence": {
|
| 485 |
-
"dtype": "string",
|
| 486 |
-
"_type": "Value"
|
| 487 |
-
},
|
| 488 |
-
"label": {
|
| 489 |
-
"names": [
|
| 490 |
-
"entailment",
|
| 491 |
-
"not_entailment"
|
| 492 |
-
],
|
| 493 |
-
"_type": "ClassLabel"
|
| 494 |
-
},
|
| 495 |
-
"idx": {
|
| 496 |
-
"dtype": "int32",
|
| 497 |
-
"_type": "Value"
|
| 498 |
-
}
|
| 499 |
-
},
|
| 500 |
-
"builder_name": "glue",
|
| 501 |
-
"dataset_name": "glue",
|
| 502 |
-
"config_name": "qnli",
|
| 503 |
-
"version": {
|
| 504 |
-
"version_str": "1.0.0",
|
| 505 |
-
"description": "",
|
| 506 |
-
"major": 1,
|
| 507 |
-
"minor": 0,
|
| 508 |
-
"patch": 0
|
| 509 |
-
},
|
| 510 |
-
"splits": {
|
| 511 |
-
"train": {
|
| 512 |
-
"name": "train",
|
| 513 |
-
"num_bytes": 25612443,
|
| 514 |
-
"num_examples": 104743,
|
| 515 |
-
"dataset_name": null
|
| 516 |
-
},
|
| 517 |
-
"validation": {
|
| 518 |
-
"name": "validation",
|
| 519 |
-
"num_bytes": 1368304,
|
| 520 |
-
"num_examples": 5463,
|
| 521 |
-
"dataset_name": null
|
| 522 |
-
},
|
| 523 |
-
"test": {
|
| 524 |
-
"name": "test",
|
| 525 |
-
"num_bytes": 1373093,
|
| 526 |
-
"num_examples": 5463,
|
| 527 |
-
"dataset_name": null
|
| 528 |
-
}
|
| 529 |
-
},
|
| 530 |
-
"download_size": 19278324,
|
| 531 |
-
"dataset_size": 28353840,
|
| 532 |
-
"size_in_bytes": 47632164
|
| 533 |
-
},
|
| 534 |
-
"rte": {
|
| 535 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 536 |
-
"citation": "@inproceedings{dagan2005pascal,\n title={The PASCAL recognising textual entailment challenge},\n author={Dagan, Ido and Glickman, Oren and Magnini, Bernardo},\n booktitle={Machine Learning Challenges Workshop},\n pages={177--190},\n year={2005},\n organization={Springer}\n}\n@inproceedings{bar2006second,\n title={The second pascal recognising textual entailment challenge},\n author={Bar-Haim, Roy and Dagan, Ido and Dolan, Bill and Ferro, Lisa and Giampiccolo, Danilo and Magnini, Bernardo and Szpektor, Idan},\n booktitle={Proceedings of the second PASCAL challenges workshop on recognising textual entailment},\n volume={6},\n number={1},\n pages={6--4},\n year={2006},\n organization={Venice}\n}\n@inproceedings{giampiccolo2007third,\n title={The third pascal recognizing textual entailment challenge},\n author={Giampiccolo, Danilo and Magnini, Bernardo and Dagan, Ido and Dolan, Bill},\n booktitle={Proceedings of the ACL-PASCAL workshop on textual entailment and paraphrasing},\n pages={1--9},\n year={2007},\n organization={Association for Computational Linguistics}\n}\n@inproceedings{bentivogli2009fifth,\n title={The Fifth PASCAL Recognizing Textual Entailment Challenge.},\n author={Bentivogli, Luisa and Clark, Peter and Dagan, Ido and Giampiccolo, Danilo},\n booktitle={TAC},\n year={2009}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 537 |
-
"homepage": "https://aclweb.org/aclwiki/Recognizing_Textual_Entailment",
|
| 538 |
-
"license": "",
|
| 539 |
-
"features": {
|
| 540 |
-
"sentence1": {
|
| 541 |
-
"dtype": "string",
|
| 542 |
-
"_type": "Value"
|
| 543 |
-
},
|
| 544 |
-
"sentence2": {
|
| 545 |
-
"dtype": "string",
|
| 546 |
-
"_type": "Value"
|
| 547 |
-
},
|
| 548 |
-
"label": {
|
| 549 |
-
"names": [
|
| 550 |
-
"entailment",
|
| 551 |
-
"not_entailment"
|
| 552 |
-
],
|
| 553 |
-
"_type": "ClassLabel"
|
| 554 |
-
},
|
| 555 |
-
"idx": {
|
| 556 |
-
"dtype": "int32",
|
| 557 |
-
"_type": "Value"
|
| 558 |
-
}
|
| 559 |
-
},
|
| 560 |
-
"builder_name": "glue",
|
| 561 |
-
"dataset_name": "glue",
|
| 562 |
-
"config_name": "rte",
|
| 563 |
-
"version": {
|
| 564 |
-
"version_str": "1.0.0",
|
| 565 |
-
"description": "",
|
| 566 |
-
"major": 1,
|
| 567 |
-
"minor": 0,
|
| 568 |
-
"patch": 0
|
| 569 |
-
},
|
| 570 |
-
"splits": {
|
| 571 |
-
"train": {
|
| 572 |
-
"name": "train",
|
| 573 |
-
"num_bytes": 847320,
|
| 574 |
-
"num_examples": 2490,
|
| 575 |
-
"dataset_name": null
|
| 576 |
-
},
|
| 577 |
-
"validation": {
|
| 578 |
-
"name": "validation",
|
| 579 |
-
"num_bytes": 90728,
|
| 580 |
-
"num_examples": 277,
|
| 581 |
-
"dataset_name": null
|
| 582 |
-
},
|
| 583 |
-
"test": {
|
| 584 |
-
"name": "test",
|
| 585 |
-
"num_bytes": 974053,
|
| 586 |
-
"num_examples": 3000,
|
| 587 |
-
"dataset_name": null
|
| 588 |
-
}
|
| 589 |
-
},
|
| 590 |
-
"download_size": 1274409,
|
| 591 |
-
"dataset_size": 1912101,
|
| 592 |
-
"size_in_bytes": 3186510
|
| 593 |
-
},
|
| 594 |
-
"wnli": {
|
| 595 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 596 |
-
"citation": "@inproceedings{levesque2012winograd,\n title={The winograd schema challenge},\n author={Levesque, Hector and Davis, Ernest and Morgenstern, Leora},\n booktitle={Thirteenth International Conference on the Principles of Knowledge Representation and Reasoning},\n year={2012}\n}\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 597 |
-
"homepage": "https://cs.nyu.edu/faculty/davise/papers/WinogradSchemas/WS.html",
|
| 598 |
-
"license": "",
|
| 599 |
-
"features": {
|
| 600 |
-
"sentence1": {
|
| 601 |
-
"dtype": "string",
|
| 602 |
-
"_type": "Value"
|
| 603 |
-
},
|
| 604 |
-
"sentence2": {
|
| 605 |
-
"dtype": "string",
|
| 606 |
-
"_type": "Value"
|
| 607 |
-
},
|
| 608 |
-
"label": {
|
| 609 |
-
"names": [
|
| 610 |
-
"not_entailment",
|
| 611 |
-
"entailment"
|
| 612 |
-
],
|
| 613 |
-
"_type": "ClassLabel"
|
| 614 |
-
},
|
| 615 |
-
"idx": {
|
| 616 |
-
"dtype": "int32",
|
| 617 |
-
"_type": "Value"
|
| 618 |
-
}
|
| 619 |
-
},
|
| 620 |
-
"builder_name": "glue",
|
| 621 |
-
"dataset_name": "glue",
|
| 622 |
-
"config_name": "wnli",
|
| 623 |
-
"version": {
|
| 624 |
-
"version_str": "1.0.0",
|
| 625 |
-
"description": "",
|
| 626 |
-
"major": 1,
|
| 627 |
-
"minor": 0,
|
| 628 |
-
"patch": 0
|
| 629 |
-
},
|
| 630 |
-
"splits": {
|
| 631 |
-
"train": {
|
| 632 |
-
"name": "train",
|
| 633 |
-
"num_bytes": 107109,
|
| 634 |
-
"num_examples": 635,
|
| 635 |
-
"dataset_name": null
|
| 636 |
-
},
|
| 637 |
-
"validation": {
|
| 638 |
-
"name": "validation",
|
| 639 |
-
"num_bytes": 12162,
|
| 640 |
-
"num_examples": 71,
|
| 641 |
-
"dataset_name": null
|
| 642 |
-
},
|
| 643 |
-
"test": {
|
| 644 |
-
"name": "test",
|
| 645 |
-
"num_bytes": 37889,
|
| 646 |
-
"num_examples": 146,
|
| 647 |
-
"dataset_name": null
|
| 648 |
-
}
|
| 649 |
-
},
|
| 650 |
-
"download_size": 63522,
|
| 651 |
-
"dataset_size": 157160,
|
| 652 |
-
"size_in_bytes": 220682
|
| 653 |
-
},
|
| 654 |
-
"ax": {
|
| 655 |
-
"description": "GLUE, the General Language Understanding Evaluation benchmark\n(https://gluebenchmark.com/) is a collection of resources for training,\nevaluating, and analyzing natural language understanding systems.\n\n",
|
| 656 |
-
"citation": "\n@inproceedings{wang2019glue,\n title={{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},\n author={Wang, Alex and Singh, Amanpreet and Michael, Julian and Hill, Felix and Levy, Omer and Bowman, Samuel R.},\n note={In the Proceedings of ICLR.},\n year={2019}\n}\n",
|
| 657 |
-
"homepage": "https://gluebenchmark.com/diagnostics",
|
| 658 |
-
"license": "",
|
| 659 |
-
"features": {
|
| 660 |
-
"premise": {
|
| 661 |
-
"dtype": "string",
|
| 662 |
-
"_type": "Value"
|
| 663 |
-
},
|
| 664 |
-
"hypothesis": {
|
| 665 |
-
"dtype": "string",
|
| 666 |
-
"_type": "Value"
|
| 667 |
-
},
|
| 668 |
-
"label": {
|
| 669 |
-
"names": [
|
| 670 |
-
"entailment",
|
| 671 |
-
"neutral",
|
| 672 |
-
"contradiction"
|
| 673 |
-
],
|
| 674 |
-
"_type": "ClassLabel"
|
| 675 |
-
},
|
| 676 |
-
"idx": {
|
| 677 |
-
"dtype": "int32",
|
| 678 |
-
"_type": "Value"
|
| 679 |
-
}
|
| 680 |
-
},
|
| 681 |
-
"builder_name": "glue",
|
| 682 |
-
"dataset_name": "glue",
|
| 683 |
-
"config_name": "ax",
|
| 684 |
-
"version": {
|
| 685 |
-
"version_str": "1.0.0",
|
| 686 |
-
"description": "",
|
| 687 |
-
"major": 1,
|
| 688 |
-
"minor": 0,
|
| 689 |
-
"patch": 0
|
| 690 |
-
},
|
| 691 |
-
"splits": {
|
| 692 |
-
"test": {
|
| 693 |
-
"name": "test",
|
| 694 |
-
"num_bytes": 237694,
|
| 695 |
-
"num_examples": 1104,
|
| 696 |
-
"dataset_name": null
|
| 697 |
-
}
|
| 698 |
-
},
|
| 699 |
-
"download_size": 80767,
|
| 700 |
-
"dataset_size": 237694,
|
| 701 |
-
"size_in_bytes": 318461
|
| 702 |
-
}
|
| 703 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|