Datasets:
Convert dataset to Parquet (#5)
Browse files- Convert dataset to Parquet (af302f69ba7c5d345d266ebfa23483146dcb9ccb)
- Add ar-es data files (f36a7e76feba088f5e203b4b42a253f23ce615a6)
- Add ar-fr data files (5bd18782bf970f2ec25c4724491ee64c6e2a5765)
- Add ar-ru data files (08ba580eb2a7210f810d0482b1f7e03dde4b3fc8)
- Add ar-zh data files (e53298fe27927052761fc007caa81da90ec809b3)
- Add en-es data files (9312d982c0cc74eeb4244002159354b226912df8)
- Add en-fr data files (b365a19bf036e497a5d3fbcfaecd56c1d31be68c)
- Add en-ru data files (c6a06a8fd21e2c0346ed96ba309f7eedc7f20ba4)
- Add en-zh data files (0986de01928829743017ed3b5fecca8f9761dacb)
- Add es-fr data files (6651ac9e1bd416ba4e731c6cf4201c39272018ec)
- Add es-ru data files (5301a828db69867f1604e8de92811540013e618a)
- Add es-zh data files (6ff1e7bffd444935d4bf02ad86efb1be285e0003)
- Add fr-ru data files (f368f646b0c4480a974d3ec00c4fd8957ae44322)
- Add fr-zh data files (d8a47f0cc49c7211eed48f169669537cd8a173ab)
- Add ru-zh data files (3244c026486309e0f73349271d7d4e44f3927d70)
- Delete loading script (ec2850a14585ca186ebcf5b042221dd9faf0883f)
- README.md +122 -61
- ar-en/train-00000-of-00017.parquet +3 -0
- ar-en/train-00001-of-00017.parquet +3 -0
- ar-en/train-00002-of-00017.parquet +3 -0
- ar-en/train-00003-of-00017.parquet +3 -0
- ar-en/train-00004-of-00017.parquet +3 -0
- ar-en/train-00005-of-00017.parquet +3 -0
- ar-en/train-00006-of-00017.parquet +3 -0
- ar-en/train-00007-of-00017.parquet +3 -0
- ar-en/train-00008-of-00017.parquet +3 -0
- ar-en/train-00009-of-00017.parquet +3 -0
- ar-en/train-00010-of-00017.parquet +3 -0
- ar-en/train-00011-of-00017.parquet +3 -0
- ar-en/train-00012-of-00017.parquet +3 -0
- ar-en/train-00013-of-00017.parquet +3 -0
- ar-en/train-00014-of-00017.parquet +3 -0
- ar-en/train-00015-of-00017.parquet +3 -0
- ar-en/train-00016-of-00017.parquet +3 -0
- ar-es/train-00000-of-00018.parquet +3 -0
- ar-es/train-00001-of-00018.parquet +3 -0
- ar-es/train-00002-of-00018.parquet +3 -0
- ar-es/train-00003-of-00018.parquet +3 -0
- ar-es/train-00004-of-00018.parquet +3 -0
- ar-es/train-00005-of-00018.parquet +3 -0
- ar-es/train-00006-of-00018.parquet +3 -0
- ar-es/train-00007-of-00018.parquet +3 -0
- ar-es/train-00008-of-00018.parquet +3 -0
- ar-es/train-00009-of-00018.parquet +3 -0
- ar-es/train-00010-of-00018.parquet +3 -0
- ar-es/train-00011-of-00018.parquet +3 -0
- ar-es/train-00012-of-00018.parquet +3 -0
- ar-es/train-00013-of-00018.parquet +3 -0
- ar-es/train-00014-of-00018.parquet +3 -0
- ar-es/train-00015-of-00018.parquet +3 -0
- ar-es/train-00016-of-00018.parquet +3 -0
- ar-es/train-00017-of-00018.parquet +3 -0
- ar-fr/train-00000-of-00018.parquet +3 -0
- ar-fr/train-00001-of-00018.parquet +3 -0
- ar-fr/train-00002-of-00018.parquet +3 -0
- ar-fr/train-00003-of-00018.parquet +3 -0
- ar-fr/train-00004-of-00018.parquet +3 -0
- ar-fr/train-00005-of-00018.parquet +3 -0
- ar-fr/train-00006-of-00018.parquet +3 -0
- ar-fr/train-00007-of-00018.parquet +3 -0
- ar-fr/train-00008-of-00018.parquet +3 -0
- ar-fr/train-00009-of-00018.parquet +3 -0
- ar-fr/train-00010-of-00018.parquet +3 -0
- ar-fr/train-00011-of-00018.parquet +3 -0
- ar-fr/train-00012-of-00018.parquet +3 -0
- ar-fr/train-00013-of-00018.parquet +3 -0
@@ -22,6 +22,22 @@ task_categories:
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task_ids: []
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paperswithcode_id: united-nations-parallel-corpus
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pretty_name: United Nations Parallel Corpus
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dataset_info:
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- config_name: ar-en
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- name: translation
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- name: translation
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- name: translation
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- config_name: en-ru
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num_examples: 25173398
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---
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# Dataset Card for United Nations Parallel Corpus
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task_ids: []
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paperswithcode_id: united-nations-parallel-corpus
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pretty_name: United Nations Parallel Corpus
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+
config_names:
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- ar-en
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- ar-es
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- ar-fr
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- ar-ru
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- ar-zh
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- en-es
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- en-fr
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- en-ru
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- en-zh
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- es-fr
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- es-ru
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- es-zh
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- fr-ru
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- fr-zh
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- ru-zh
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dataset_info:
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features:
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- en
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- name: train
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num_examples: 20044478
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download_size: 3638378262
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- config_name: ar-es
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features:
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- name: translation
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- es
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splits:
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- name: train
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num_examples: 20532014
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download_size: 3938780664
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- config_name: ar-fr
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features:
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- name: translation
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- fr
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splits:
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- name: train
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num_examples: 20281645
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download_size: 3976788621
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dataset_size: 8897831806
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- config_name: ar-ru
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features:
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- name: translation
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- ru
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num_examples: 20571334
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- config_name: ar-zh
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features:
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- zh
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num_examples: 17306056
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- es
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features:
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- name: translation
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- fr
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splits:
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- name: train
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- config_name: en-ru
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- config_name: en-zh
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features:
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splits:
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dataset_size: 4988798590
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- config_name: es-fr
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features:
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- name: translation
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- fr
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splits:
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download_size: 4379207947
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- config_name: es-ru
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features:
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- ru
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features:
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- zh
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- config_name: fr-ru
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features:
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features:
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- config_name: ru-zh
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features:
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- name: translation
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splits:
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num_examples: 17920922
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download_size: 3601589709
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dataset_size: 7905429097
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configs:
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- config_name: ar-en
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data_files:
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- split: train
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+
path: ar-en/train-*
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+
- config_name: ar-es
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data_files:
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- split: train
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path: ar-es/train-*
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- config_name: ar-fr
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data_files:
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- split: train
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path: ar-fr/train-*
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- config_name: ar-ru
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data_files:
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- split: train
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path: ar-ru/train-*
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- config_name: ar-zh
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data_files:
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- split: train
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path: ar-zh/train-*
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- config_name: en-es
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data_files:
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- split: train
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path: en-es/train-*
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- config_name: en-fr
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data_files:
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- split: train
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path: en-fr/train-*
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- config_name: en-ru
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data_files:
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- split: train
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path: en-ru/train-*
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- config_name: en-zh
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+
data_files:
|
287 |
+
- split: train
|
288 |
+
path: en-zh/train-*
|
289 |
+
- config_name: es-fr
|
290 |
+
data_files:
|
291 |
+
- split: train
|
292 |
+
path: es-fr/train-*
|
293 |
+
- config_name: es-ru
|
294 |
+
data_files:
|
295 |
+
- split: train
|
296 |
+
path: es-ru/train-*
|
297 |
+
- config_name: es-zh
|
298 |
+
data_files:
|
299 |
+
- split: train
|
300 |
+
path: es-zh/train-*
|
301 |
+
- config_name: fr-ru
|
302 |
+
data_files:
|
303 |
+
- split: train
|
304 |
+
path: fr-ru/train-*
|
305 |
+
- config_name: fr-zh
|
306 |
+
data_files:
|
307 |
+
- split: train
|
308 |
+
path: fr-zh/train-*
|
309 |
+
- config_name: ru-zh
|
310 |
+
data_files:
|
311 |
+
- split: train
|
312 |
+
path: ru-zh/train-*
|
313 |
---
|
314 |
|
315 |
# Dataset Card for United Nations Parallel Corpus
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