File size: 11,038 Bytes
c4da2f9 55efc54 c4da2f9 55efc54 c4da2f9 88945c4 c4da2f9 cbeab7f 34ba903 c4da2f9 cbeab7f c4da2f9 603b428 31d7596 88945c4 3993b67 a654ff2 3993b67 a654ff2 3993b67 a654ff2 3993b67 a654ff2 3993b67 a654ff2 3993b67 c4da2f9 31d7596 c4da2f9 603b428 c4da2f9 603b428 c4da2f9 8b89e3f c4da2f9 31d7596 c4da2f9 8b89e3f c4da2f9 603b428 c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 603b428 c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 603b428 c4da2f9 8b89e3f c4da2f9 603b428 c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 8b89e3f c4da2f9 0e32405 c4da2f9 8b89e3f c4da2f9 3993b67 |
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 |
---
annotations_creators:
- found
language_creators:
- found
language:
- de
- es
- fr
- ru
- tr
license:
- other
multilinguality:
- multilingual
size_categories:
- 100K<n<1M
- 10K<n<100K
source_datasets:
- extended|cnn_dailymail
- original
task_categories:
- summarization
- translation
- text-classification
task_ids:
- news-articles-summarization
- multi-class-classification
- multi-label-classification
- topic-classification
paperswithcode_id: mlsum
pretty_name: MLSUM
configs:
- de
- es
- fr
- ru
- tu
dataset_info:
- config_name: de
features:
- name: text
dtype: string
- name: summary
dtype: string
- name: topic
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: date
dtype: string
splits:
- name: train
num_bytes: 846959840
num_examples: 220887
- name: validation
num_bytes: 47119541
num_examples: 11394
- name: test
num_bytes: 46847612
num_examples: 10701
download_size: 1005814154
dataset_size: 940926993
- config_name: es
features:
- name: text
dtype: string
- name: summary
dtype: string
- name: topic
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: date
dtype: string
splits:
- name: train
num_bytes: 1214558302
num_examples: 266367
- name: validation
num_bytes: 50643400
num_examples: 10358
- name: test
num_bytes: 71263665
num_examples: 13920
download_size: 1456211154
dataset_size: 1336465367
- config_name: fr
features:
- name: text
dtype: string
- name: summary
dtype: string
- name: topic
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: date
dtype: string
splits:
- name: train
num_bytes: 1471965014
num_examples: 392902
- name: validation
num_bytes: 70413212
num_examples: 16059
- name: test
num_bytes: 69660288
num_examples: 15828
download_size: 1849565564
dataset_size: 1612038514
- config_name: ru
features:
- name: text
dtype: string
- name: summary
dtype: string
- name: topic
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: date
dtype: string
splits:
- name: train
num_bytes: 257389497
num_examples: 25556
- name: validation
num_bytes: 9128497
num_examples: 750
- name: test
num_bytes: 9656398
num_examples: 757
download_size: 766226107
dataset_size: 276174392
- config_name: tu
features:
- name: text
dtype: string
- name: summary
dtype: string
- name: topic
dtype: string
- name: url
dtype: string
- name: title
dtype: string
- name: date
dtype: string
splits:
- name: train
num_bytes: 641622783
num_examples: 249277
- name: validation
num_bytes: 25530661
num_examples: 11565
- name: test
num_bytes: 27830212
num_examples: 12775
download_size: 942308960
dataset_size: 694983656
---
# Dataset Card for MLSUM
## 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/recitalAI/MLSUM
- **Paper:** https://www.aclweb.org/anthology/2020.emnlp-main.647/
- **Point of Contact:** [email]([email protected])
- **Size of downloaded dataset files:** 1748.64 MB
- **Size of the generated dataset:** 4635.42 MB
- **Total amount of disk used:** 6384.06 MB
### Dataset Summary
We present MLSUM, the first large-scale MultiLingual SUMmarization dataset.
Obtained from online newspapers, it contains 1.5M+ article/summary pairs in five different languages -- namely, French, German, Spanish, Russian, Turkish.
Together with English newspapers from the popular CNN/Daily mail dataset, the collected data form a large scale multilingual dataset which can enable new research directions for the text summarization community.
We report cross-lingual comparative analyses based on state-of-the-art systems.
These highlight existing biases which motivate the use of a multi-lingual dataset.
### 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
#### de
- **Size of downloaded dataset files:** 330.52 MB
- **Size of the generated dataset:** 897.34 MB
- **Total amount of disk used:** 1227.86 MB
An example of 'validation' looks as follows.
```
{
"date": "01/01/2001",
"summary": "A text",
"text": "This is a text",
"title": "A sample",
"topic": "football",
"url": "https://www.google.com"
}
```
#### es
- **Size of downloaded dataset files:** 489.53 MB
- **Size of the generated dataset:** 1274.55 MB
- **Total amount of disk used:** 1764.09 MB
An example of 'validation' looks as follows.
```
{
"date": "01/01/2001",
"summary": "A text",
"text": "This is a text",
"title": "A sample",
"topic": "football",
"url": "https://www.google.com"
}
```
#### fr
- **Size of downloaded dataset files:** 591.27 MB
- **Size of the generated dataset:** 1537.36 MB
- **Total amount of disk used:** 2128.63 MB
An example of 'validation' looks as follows.
```
{
"date": "01/01/2001",
"summary": "A text",
"text": "This is a text",
"title": "A sample",
"topic": "football",
"url": "https://www.google.com"
}
```
#### ru
- **Size of downloaded dataset files:** 101.30 MB
- **Size of the generated dataset:** 263.38 MB
- **Total amount of disk used:** 364.68 MB
An example of 'train' looks as follows.
```
{
"date": "01/01/2001",
"summary": "A text",
"text": "This is a text",
"title": "A sample",
"topic": "football",
"url": "https://www.google.com"
}
```
#### tu
- **Size of downloaded dataset files:** 236.03 MB
- **Size of the generated dataset:** 662.79 MB
- **Total amount of disk used:** 898.82 MB
An example of 'train' looks as follows.
```
{
"date": "01/01/2001",
"summary": "A text",
"text": "This is a text",
"title": "A sample",
"topic": "football",
"url": "https://www.google.com"
}
```
### Data Fields
The data fields are the same among all splits.
#### de
- `text`: a `string` feature.
- `summary`: a `string` feature.
- `topic`: a `string` feature.
- `url`: a `string` feature.
- `title`: a `string` feature.
- `date`: a `string` feature.
#### es
- `text`: a `string` feature.
- `summary`: a `string` feature.
- `topic`: a `string` feature.
- `url`: a `string` feature.
- `title`: a `string` feature.
- `date`: a `string` feature.
#### fr
- `text`: a `string` feature.
- `summary`: a `string` feature.
- `topic`: a `string` feature.
- `url`: a `string` feature.
- `title`: a `string` feature.
- `date`: a `string` feature.
#### ru
- `text`: a `string` feature.
- `summary`: a `string` feature.
- `topic`: a `string` feature.
- `url`: a `string` feature.
- `title`: a `string` feature.
- `date`: a `string` feature.
#### tu
- `text`: a `string` feature.
- `summary`: a `string` feature.
- `topic`: a `string` feature.
- `url`: a `string` feature.
- `title`: a `string` feature.
- `date`: a `string` feature.
### Data Splits
|name|train |validation|test |
|----|-----:|---------:|----:|
|de |220887| 11394|10701|
|es |266367| 10358|13920|
|fr |392902| 16059|15828|
|ru | 25556| 750| 757|
|tu |249277| 11565|12775|
## 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
Usage of dataset is restricted to non-commercial research purposes only. Copyright belongs to the original copyright holders. See https://github.com/recitalAI/MLSUM#mlsum
### Citation Information
```
@article{scialom2020mlsum,
title={MLSUM: The Multilingual Summarization Corpus},
author={Scialom, Thomas and Dray, Paul-Alexis and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo},
journal={arXiv preprint arXiv:2004.14900},
year={2020}
}
```
### Contributions
Thanks to [@RachelKer](https://github.com/RachelKer), [@albertvillanova](https://github.com/albertvillanova), [@thomwolf](https://github.com/thomwolf) for adding this dataset. |