Datasets:

Modalities:
Text
Formats:
parquet
Libraries:
Datasets
pandas
License:
File size: 9,574 Bytes
10937c7
 
 
 
 
40a9ce2
46e7fc3
 
 
 
 
 
40a9ce2
10937c7
 
 
 
466c4b5
10937c7
 
 
3c598f2
 
fad03b7
abdeb74
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9632971
 
 
 
 
 
 
 
 
 
 
 
 
abdeb74
9632971
abdeb74
 
9632971
 
 
 
 
 
 
 
 
 
 
 
51aafbd
9632971
51aafbd
 
9632971
 
 
 
 
 
 
 
 
 
 
 
198836a
9632971
198836a
 
9632971
 
 
 
 
 
 
 
 
 
 
 
b758ce2
9632971
b758ce2
 
9632971
 
 
 
 
 
 
 
 
 
 
 
68509b8
9632971
68509b8
 
9632971
 
 
 
 
 
 
 
 
 
 
 
d3d56ce
9632971
d3d56ce
 
9632971
 
 
 
 
 
 
 
 
 
 
 
0bd52f0
9632971
0bd52f0
 
9632971
 
 
 
 
 
 
 
 
 
 
 
fee77c3
9632971
fee77c3
 
9632971
 
 
 
 
 
 
 
 
 
 
 
7a20303
9632971
7a20303
 
9632971
 
 
 
 
 
 
 
 
 
 
 
290cc29
9632971
290cc29
 
9632971
 
 
 
 
 
 
 
 
 
 
 
9369497
9632971
9369497
 
9632971
 
 
 
 
 
 
 
 
 
 
 
181f93b
9632971
181f93b
 
9632971
 
 
 
 
 
 
 
 
 
 
 
a96a77e
9632971
a96a77e
 
9632971
 
 
 
 
 
 
 
 
 
 
 
af074c9
9632971
af074c9
 
9632971
 
 
 
 
 
 
 
 
 
 
 
d8ceda6
9632971
d8ceda6
 
abdeb74
 
 
 
 
51aafbd
 
 
 
198836a
 
 
 
b758ce2
 
 
 
68509b8
 
 
 
d3d56ce
 
 
 
0bd52f0
 
 
 
fee77c3
 
 
 
7a20303
 
 
 
290cc29
 
 
 
9369497
 
 
 
181f93b
 
 
 
a96a77e
 
 
 
af074c9
 
 
 
d8ceda6
 
 
 
10937c7
 
 
 
 
 
 
28515f5
10937c7
 
 
28515f5
 
10937c7
 
 
 
 
 
 
 
 
 
 
 
 
34a84e2
10937c7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
34a84e2
 
 
9632971
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
---
annotations_creators:
- found
language_creators:
- found
language:
- ar
- en
- es
- fr
- ru
- zh
license:
- unknown
multilinguality:
- translation
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- translation
task_ids: []
pretty_name: UnGa
config_names:
- ar-to-en
- ar-to-es
- ar-to-fr
- ar-to-ru
- ar-to-zh
- en-to-es
- en-to-fr
- en-to-ru
- en-to-zh
- es-to-fr
- es-to-ru
- es-to-zh
- fr-to-ru
- fr-to-zh
- ru-to-zh
dataset_info:
- config_name: ar_to_en
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - ar
        - en
  splits:
  - name: train
    num_bytes: 53122776
    num_examples: 74067
  download_size: 21418697
  dataset_size: 53122776
- config_name: ar_to_es
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - ar
        - es
  splits:
  - name: train
    num_bytes: 55728615
    num_examples: 74067
  download_size: 22724976
  dataset_size: 55728615
- config_name: ar_to_fr
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - ar
        - fr
  splits:
  - name: train
    num_bytes: 55930802
    num_examples: 74067
  download_size: 23035904
  dataset_size: 55930802
- config_name: ar_to_ru
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - ar
        - ru
  splits:
  - name: train
    num_bytes: 72657625
    num_examples: 74067
  download_size: 28279669
  dataset_size: 72657625
- config_name: ar_to_zh
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - ar
        - zh
  splits:
  - name: train
    num_bytes: 48217579
    num_examples: 74067
  download_size: 20391116
  dataset_size: 48217579
- config_name: en_to_es
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - es
  splits:
  - name: train
    num_bytes: 45358770
    num_examples: 74067
  download_size: 19229141
  dataset_size: 45358770
- config_name: en_to_fr
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - fr
  splits:
  - name: train
    num_bytes: 45560957
    num_examples: 74067
  download_size: 19540063
  dataset_size: 45560957
- config_name: en_to_ru
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - ru
  splits:
  - name: train
    num_bytes: 62287780
    num_examples: 74067
  download_size: 24783812
  dataset_size: 62287780
- config_name: en_to_zh
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - en
        - zh
  splits:
  - name: train
    num_bytes: 37847734
    num_examples: 74067
  download_size: 16895275
  dataset_size: 37847734
- config_name: es_to_fr
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - es
        - fr
  splits:
  - name: train
    num_bytes: 48166796
    num_examples: 74067
  download_size: 20846355
  dataset_size: 48166796
- config_name: es_to_ru
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - es
        - ru
  splits:
  - name: train
    num_bytes: 64893619
    num_examples: 74067
  download_size: 26090092
  dataset_size: 64893619
- config_name: es_to_zh
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - es
        - zh
  splits:
  - name: train
    num_bytes: 40453573
    num_examples: 74067
  download_size: 18201560
  dataset_size: 40453573
- config_name: fr_to_ru
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - fr
        - ru
  splits:
  - name: train
    num_bytes: 65095806
    num_examples: 74067
  download_size: 26401015
  dataset_size: 65095806
- config_name: fr_to_zh
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - fr
        - zh
  splits:
  - name: train
    num_bytes: 40655760
    num_examples: 74067
  download_size: 18512482
  dataset_size: 40655760
- config_name: ru_to_zh
  features:
  - name: id
    dtype: string
  - name: translation
    dtype:
      translation:
        languages:
        - ru
        - zh
  splits:
  - name: train
    num_bytes: 57382583
    num_examples: 74067
  download_size: 23756229
  dataset_size: 57382583
configs:
- config_name: ar_to_en
  data_files:
  - split: train
    path: ar_to_en/train-*
- config_name: ar_to_es
  data_files:
  - split: train
    path: ar_to_es/train-*
- config_name: ar_to_fr
  data_files:
  - split: train
    path: ar_to_fr/train-*
- config_name: ar_to_ru
  data_files:
  - split: train
    path: ar_to_ru/train-*
- config_name: ar_to_zh
  data_files:
  - split: train
    path: ar_to_zh/train-*
- config_name: en_to_es
  data_files:
  - split: train
    path: en_to_es/train-*
- config_name: en_to_fr
  data_files:
  - split: train
    path: en_to_fr/train-*
- config_name: en_to_ru
  data_files:
  - split: train
    path: en_to_ru/train-*
- config_name: en_to_zh
  data_files:
  - split: train
    path: en_to_zh/train-*
- config_name: es_to_fr
  data_files:
  - split: train
    path: es_to_fr/train-*
- config_name: es_to_ru
  data_files:
  - split: train
    path: es_to_ru/train-*
- config_name: es_to_zh
  data_files:
  - split: train
    path: es_to_zh/train-*
- config_name: fr_to_ru
  data_files:
  - split: train
    path: fr_to_ru/train-*
- config_name: fr_to_zh
  data_files:
  - split: train
    path: fr_to_zh/train-*
- config_name: ru_to_zh
  data_files:
  - split: train
    path: ru_to_zh/train-*
---

# Dataset Card for [Dataset Name]

## 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:** http://opus.nlpl.eu/UN.php
- **Repository:**
- **Paper:** https://www.researchgate.net/publication/228579662_United_nations_general_assembly_resolutions_A_six-language_parallel_corpus
- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary
This is a collection of translated documents from the United Nations originally compiled into a translation memory by Alexandre Rafalovitch, Robert Dale (see http://uncorpora.org).


### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

@inproceedings{title = "United Nations General Assembly Resolutions: a six-language parallel corpus",
abstract = "In this paper we describe a six-ways parallel public-domain corpus consisting of 2100 United Nations General Assembly Resolutions with translations in the six official languages of the United Nations, with an average of around 3 million tokens per language. The corpus is available in a preprocessed, formatting-normalized TMX format with paragraphs aligned across multiple languages. We describe the background to the corpus and its content, the process of its construction, and some of its interesting properties.",
author = "Alexandre Rafalovitch and Robert Dale",
year = "2009",
language = "English",
booktitle = "MT Summit XII proceedings",
publisher = "International Association of Machine Translation",
}
### Contributions

Thanks to [@param087](https://github.com/param087) for adding this dataset.