File size: 13,764 Bytes
fd15583 659fabb e9f767a 659fabb 7ec181d 659fabb e609eaa e9f767a fd15583 e609eaa fd15583 e609eaa fd15583 d216bde fd15583 659fabb fd15583 3a54beb fd15583 d216bde fd15583 e609eaa fd15583 d216bde fd15583 d216bde fd15583 d216bde fd15583 3a54beb fd15583 3a54beb fd15583 3a54beb fd15583 3a54beb fd15583 3a54beb fd15583 d216bde fd15583 e609eaa fd15583 d216bde fd15583 d216bde fd15583 d216bde fd15583 e609eaa fd15583 d216bde fd15583 e609eaa fd15583 d216bde fd15583 d216bde fd15583 d216bde fd15583 d216bde fd15583 d216bde fd15583 d216bde fd15583 d216bde fd15583 d216bde fd15583 d216bde fd15583 659fabb fd15583 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 |
---
annotations_creators:
- crowdsourced
language:
- az
- be
- en
- es
- fr
- gl
- he
- it
- pt
- ru
- tr
language_creators:
- expert-generated
license:
- cc-by-nc-nd-4.0
multilinguality:
- translation
pretty_name: TEDHrlr
size_categories:
- 1M<n<10M
source_datasets:
- extended|ted_talks_iwslt
task_categories:
- translation
task_ids: []
paperswithcode_id: null
dataset_info:
- config_name: az_to_en
features:
- name: translation
dtype:
translation:
languages:
- az
- en
splits:
- name: test
num_bytes: 186540
num_examples: 904
- name: train
num_bytes: 1226853
num_examples: 5947
- name: validation
num_bytes: 122709
num_examples: 672
download_size: 131005909
dataset_size: 1536102
- config_name: aztr_to_en
features:
- name: translation
dtype:
translation:
languages:
- az_tr
- en
splits:
- name: test
num_bytes: 186540
num_examples: 904
- name: train
num_bytes: 39834469
num_examples: 188397
- name: validation
num_bytes: 122709
num_examples: 672
download_size: 131005909
dataset_size: 40143718
- config_name: be_to_en
features:
- name: translation
dtype:
translation:
languages:
- be
- en
splits:
- name: test
num_bytes: 186606
num_examples: 665
- name: train
num_bytes: 1176899
num_examples: 4510
- name: validation
num_bytes: 59328
num_examples: 249
download_size: 131005909
dataset_size: 1422833
- config_name: beru_to_en
features:
- name: translation
dtype:
translation:
languages:
- be_ru
- en
splits:
- name: test
num_bytes: 186606
num_examples: 665
- name: train
num_bytes: 59953616
num_examples: 212615
- name: validation
num_bytes: 59328
num_examples: 249
download_size: 131005909
dataset_size: 60199550
- config_name: es_to_pt
features:
- name: translation
dtype:
translation:
languages:
- es
- pt
splits:
- name: test
num_bytes: 343640
num_examples: 1764
- name: train
num_bytes: 8611393
num_examples: 44939
- name: validation
num_bytes: 181535
num_examples: 1017
download_size: 131005909
dataset_size: 9136568
- config_name: fr_to_pt
features:
- name: translation
dtype:
translation:
languages:
- fr
- pt
splits:
- name: test
num_bytes: 311650
num_examples: 1495
- name: train
num_bytes: 8755387
num_examples: 43874
- name: validation
num_bytes: 212317
num_examples: 1132
download_size: 131005909
dataset_size: 9279354
- config_name: gl_to_en
features:
- name: translation
dtype:
translation:
languages:
- gl
- en
splits:
- name: test
num_bytes: 193213
num_examples: 1008
- name: train
num_bytes: 1961363
num_examples: 10018
- name: validation
num_bytes: 137929
num_examples: 683
download_size: 131005909
dataset_size: 2292505
- config_name: glpt_to_en
features:
- name: translation
dtype:
translation:
languages:
- gl_pt
- en
splits:
- name: test
num_bytes: 193213
num_examples: 1008
- name: train
num_bytes: 11734254
num_examples: 61803
- name: validation
num_bytes: 137929
num_examples: 683
download_size: 131005909
dataset_size: 12065396
- config_name: he_to_pt
features:
- name: translation
dtype:
translation:
languages:
- he
- pt
splits:
- name: test
num_bytes: 361378
num_examples: 1624
- name: train
num_bytes: 10627615
num_examples: 48512
- name: validation
num_bytes: 230725
num_examples: 1146
download_size: 131005909
dataset_size: 11219718
- config_name: it_to_pt
features:
- name: translation
dtype:
translation:
languages:
- it
- pt
splits:
- name: test
num_bytes: 324726
num_examples: 1670
- name: train
num_bytes: 8905825
num_examples: 46260
- name: validation
num_bytes: 210375
num_examples: 1163
download_size: 131005909
dataset_size: 9440926
- config_name: pt_to_en
features:
- name: translation
dtype:
translation:
languages:
- pt
- en
splits:
- name: test
num_bytes: 347803
num_examples: 1804
- name: train
num_bytes: 9772911
num_examples: 51786
- name: validation
num_bytes: 207960
num_examples: 1194
download_size: 131005909
dataset_size: 10328674
- config_name: ru_to_en
features:
- name: translation
dtype:
translation:
languages:
- ru
- en
splits:
- name: test
num_bytes: 1459576
num_examples: 5477
- name: train
num_bytes: 58778442
num_examples: 208107
- name: validation
num_bytes: 1318357
num_examples: 4806
download_size: 131005909
dataset_size: 61556375
- config_name: ru_to_pt
features:
- name: translation
dtype:
translation:
languages:
- ru
- pt
splits:
- name: test
num_bytes: 409062
num_examples: 1589
- name: train
num_bytes: 11882860
num_examples: 47279
- name: validation
num_bytes: 276866
num_examples: 1185
download_size: 131005909
dataset_size: 12568788
- config_name: tr_to_en
features:
- name: translation
dtype:
translation:
languages:
- tr
- en
splits:
- name: test
num_bytes: 1026406
num_examples: 5030
- name: train
num_bytes: 38607636
num_examples: 182451
- name: validation
num_bytes: 832358
num_examples: 4046
download_size: 131005909
dataset_size: 40466400
---
# Dataset Card for "ted_hrlr"
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:**
- **Repository:** https://github.com/neulab/word-embeddings-for-nmt
- **Paper:** [When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?](https://aclanthology.org/N18-2084/)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Size of downloaded dataset files:** 1.83 GB
- **Size of the generated dataset:** 281.66 MB
- **Total amount of disk used:** 2.12 GB
### Dataset Summary
Data sets derived from TED talk transcripts for comparing similar language pairs
where one is high resource and the other is low resource.
### Supported Tasks and Leaderboards
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Languages
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Dataset Structure
### Data Instances
#### az_to_en
- **Size of downloaded dataset files:** 131.01 MB
- **Size of the generated dataset:** 1.53 MB
- **Total amount of disk used:** 132.54 MB
An example of 'train' looks as follows.
```
{
"translation": {
"az": "zəhmət olmasa , sizə xitab edən sözlər eşidəndə əlinizi qaldırın .",
"en": "please raise your hand if something applies to you ."
}
}
```
#### aztr_to_en
- **Size of downloaded dataset files:** 131.01 MB
- **Size of the generated dataset:** 40.14 MB
- **Total amount of disk used:** 171.15 MB
An example of 'train' looks as follows.
```
{
"translation": {
"az_tr": "zəhmət olmasa , sizə xitab edən sözlər eşidəndə əlinizi qaldırın .",
"en": "please raise your hand if something applies to you ."
}
}
```
#### be_to_en
- **Size of downloaded dataset files:** 131.01 MB
- **Size of the generated dataset:** 1.43 MB
- **Total amount of disk used:** 132.42 MB
An example of 'train' looks as follows.
```
{
"translation": {
"be": "zəhmət olmasa , sizə xitab edən sözlər eşidəndə əlinizi qaldırın .",
"en": "please raise your hand if something applies to you ."
}
}
```
#### beru_to_en
- **Size of downloaded dataset files:** 131.01 MB
- **Size of the generated dataset:** 60.20 MB
- **Total amount of disk used:** 191.21 MB
An example of 'validation' looks as follows.
```
This example was too long and was cropped:
{
"translation": "{\"be_ru\": \"11 yaşımdaydım . səhərin birində , evimizdəki sevinc səslərinə oyandığım indiki kimi yadımdadır .\", \"en\": \"when i was..."
}
```
#### es_to_pt
- **Size of downloaded dataset files:** 131.01 MB
- **Size of the generated dataset:** 9.13 MB
- **Total amount of disk used:** 140.14 MB
An example of 'validation' looks as follows.
```
This example was too long and was cropped:
{
"translation": "{\"es\": \"11 yaşımdaydım . səhərin birində , evimizdəki sevinc səslərinə oyandığım indiki kimi yadımdadır .\", \"pt\": \"when i was 11..."
}
```
### Data Fields
The data fields are the same among all splits.
#### az_to_en
- `translation`: a multilingual `string` variable, with possible languages including `az`, `en`.
#### aztr_to_en
- `translation`: a multilingual `string` variable, with possible languages including `az_tr`, `en`.
#### be_to_en
- `translation`: a multilingual `string` variable, with possible languages including `be`, `en`.
#### beru_to_en
- `translation`: a multilingual `string` variable, with possible languages including `be_ru`, `en`.
#### es_to_pt
- `translation`: a multilingual `string` variable, with possible languages including `es`, `pt`.
### Data Splits
| name |train |validation|test|
|----------|-----:|---------:|---:|
|az_to_en | 5947| 672| 904|
|aztr_to_en|188397| 672| 904|
|be_to_en | 4510| 249| 665|
|beru_to_en|212615| 249| 665|
|es_to_pt | 44939| 1017|1764|
## Dataset Creation
### Curation Rationale
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the source language producers?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Annotations
#### Annotation process
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
#### Who are the annotators?
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Personal and Sensitive Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Discussion of Biases
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Other Known Limitations
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
## Additional Information
### Dataset Curators
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Licensing Information
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
### Citation Information
```
@inproceedings{qi-etal-2018-pre,
title = "When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?",
author = "Qi, Ye and
Sachan, Devendra and
Felix, Matthieu and
Padmanabhan, Sarguna and
Neubig, Graham",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-2084",
doi = "10.18653/v1/N18-2084",
pages = "529--535",
}
```
### Contributions
Thanks to [@thomwolf](https://github.com/thomwolf), [@lewtun](https://github.com/lewtun), [@patrickvonplaten](https://github.com/patrickvonplaten) for adding this dataset. |