Datasets:
Modalities:
Text
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Size:
1M - 10M
Tags:
paraphrase-generation
License:
annotations_creators: | |
- machine-generated | |
language_creators: | |
- crowdsourced | |
language: | |
- af | |
- ar | |
- az | |
- be | |
- ber | |
- bg | |
- bn | |
- br | |
- ca | |
- cbk | |
- cmn | |
- cs | |
- da | |
- de | |
- el | |
- en | |
- eo | |
- es | |
- et | |
- eu | |
- fi | |
- fr | |
- gl | |
- gos | |
- he | |
- hi | |
- hr | |
- hu | |
- hy | |
- ia | |
- id | |
- ie | |
- io | |
- is | |
- it | |
- ja | |
- jbo | |
- kab | |
- ko | |
- kw | |
- la | |
- lfn | |
- lt | |
- mk | |
- mr | |
- nb | |
- nds | |
- nl | |
- orv | |
- ota | |
- pes | |
- pl | |
- pt | |
- rn | |
- ro | |
- ru | |
- sl | |
- sr | |
- sv | |
- tk | |
- tl | |
- tlh | |
- tok | |
- tr | |
- tt | |
- ug | |
- uk | |
- ur | |
- vi | |
- vo | |
- war | |
- wuu | |
- yue | |
license: | |
- cc-by-2.0 | |
multilinguality: | |
- multilingual | |
size_categories: | |
- 100K<n<1M | |
- 10K<n<100K | |
- 1K<n<10K | |
- 1M<n<10M | |
- n<1K | |
source_datasets: | |
- extended|other-tatoeba | |
task_categories: | |
- text2text-generation | |
- translation | |
- text-classification | |
task_ids: | |
- semantic-similarity-classification | |
paperswithcode_id: tapaco | |
pretty_name: TaPaCo Corpus | |
config_names: | |
- af | |
- all_languages | |
- ar | |
- az | |
- be | |
- ber | |
- bg | |
- bn | |
- br | |
- ca | |
- cbk | |
- cmn | |
- cs | |
- da | |
- de | |
- el | |
- en | |
- eo | |
- es | |
- et | |
- eu | |
- fi | |
- fr | |
- gl | |
- gos | |
- he | |
- hi | |
- hr | |
- hu | |
- hy | |
- ia | |
- id | |
- ie | |
- io | |
- is | |
- it | |
- ja | |
- jbo | |
- kab | |
- ko | |
- kw | |
- la | |
- lfn | |
- lt | |
- mk | |
- mr | |
- nb | |
- nds | |
- nl | |
- orv | |
- ota | |
- pes | |
- pl | |
- pt | |
- rn | |
- ro | |
- ru | |
- sl | |
- sr | |
- sv | |
- tk | |
- tl | |
- tlh | |
- tok | |
- tr | |
- tt | |
- ug | |
- uk | |
- ur | |
- vi | |
- vo | |
- war | |
- wuu | |
- yue | |
tags: | |
- paraphrase-generation | |
dataset_info: | |
- config_name: af | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
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num_examples: 307 | |
download_size: 11781 | |
dataset_size: 21187 | |
- config_name: all_languages | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
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num_examples: 1926192 | |
download_size: 65568453 | |
dataset_size: 162796380 | |
- config_name: ar | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
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download_size: 220221 | |
dataset_size: 546168 | |
- config_name: az | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
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num_examples: 624 | |
download_size: 20418 | |
dataset_size: 44429 | |
- config_name: be | |
features: | |
- name: paraphrase_set_id | |
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- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
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num_examples: 1512 | |
download_size: 58566 | |
dataset_size: 140344 | |
- config_name: ber | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
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- name: language | |
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splits: | |
- name: train | |
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download_size: 1813469 | |
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- config_name: bg | |
features: | |
- name: paraphrase_set_id | |
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dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
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- name: language | |
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splits: | |
- name: train | |
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num_examples: 6324 | |
download_size: 219682 | |
dataset_size: 590503 | |
- config_name: bn | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
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download_size: 46005 | |
dataset_size: 146622 | |
- config_name: br | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
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- name: tags | |
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- name: language | |
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splits: | |
- name: train | |
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download_size: 65451 | |
dataset_size: 177887 | |
- config_name: ca | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
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- name: tags | |
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- name: language | |
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splits: | |
- name: train | |
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- config_name: cbk | |
features: | |
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- name: language | |
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splits: | |
- name: train | |
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num_examples: 262 | |
download_size: 11222 | |
dataset_size: 19372 | |
- config_name: cmn | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
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dtype: string | |
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- name: language | |
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splits: | |
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- config_name: cs | |
features: | |
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- config_name: da | |
features: | |
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- name: language | |
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splits: | |
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- config_name: de | |
features: | |
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- config_name: el | |
features: | |
- name: paraphrase_set_id | |
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- config_name: en | |
features: | |
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- name: tags | |
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splits: | |
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- config_name: eo | |
features: | |
- name: paraphrase_set_id | |
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- name: language | |
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- config_name: es | |
features: | |
- name: paraphrase_set_id | |
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- config_name: et | |
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num_examples: 241 | |
download_size: 10628 | |
dataset_size: 17095 | |
- config_name: eu | |
features: | |
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- name: language | |
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- name: train | |
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num_examples: 573 | |
download_size: 21506 | |
dataset_size: 42670 | |
- config_name: fi | |
features: | |
- name: paraphrase_set_id | |
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- config_name: fr | |
features: | |
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dataset_size: 9481042 | |
- config_name: gl | |
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num_examples: 351 | |
download_size: 15428 | |
dataset_size: 26519 | |
- config_name: gos | |
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download_size: 10252 | |
dataset_size: 18410 | |
- config_name: he | |
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- config_name: hi | |
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- config_name: hr | |
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- name: paraphrase_set_id | |
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- config_name: hu | |
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- config_name: hy | |
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- config_name: ia | |
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splits: | |
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- config_name: ie | |
features: | |
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- config_name: io | |
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splits: | |
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num_examples: 480 | |
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dataset_size: 33860 | |
- config_name: is | |
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splits: | |
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dataset_size: 132030 | |
- config_name: it | |
features: | |
- name: paraphrase_set_id | |
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splits: | |
- name: train | |
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num_examples: 198919 | |
download_size: 5419790 | |
dataset_size: 15073110 | |
- config_name: ja | |
features: | |
- name: paraphrase_set_id | |
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- name: language | |
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splits: | |
- name: train | |
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num_examples: 44267 | |
download_size: 1736954 | |
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- config_name: jbo | |
features: | |
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splits: | |
- name: train | |
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dataset_size: 201532 | |
- config_name: kab | |
features: | |
- name: paraphrase_set_id | |
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splits: | |
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download_size: 471650 | |
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- config_name: ko | |
features: | |
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dataset_size: 40426 | |
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download_size: 35630 | |
dataset_size: 88545 | |
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dataset_size: 485717 | |
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download_size: 91808 | |
dataset_size: 203351 | |
- config_name: lt | |
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- name: tags | |
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- name: language | |
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num_examples: 8042 | |
download_size: 263103 | |
dataset_size: 599134 | |
- config_name: mk | |
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- name: language | |
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num_examples: 14678 | |
download_size: 466182 | |
dataset_size: 1240121 | |
- config_name: mr | |
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- name: language | |
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num_examples: 16413 | |
download_size: 590051 | |
dataset_size: 1838857 | |
- config_name: nb | |
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num_examples: 1094 | |
download_size: 39494 | |
dataset_size: 85339 | |
- config_name: nds | |
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- name: tags | |
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- name: language | |
dtype: string | |
splits: | |
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num_examples: 2633 | |
download_size: 32213126 | |
dataset_size: 195021 | |
- config_name: nl | |
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num_examples: 23561 | |
download_size: 32213126 | |
dataset_size: 1790975 | |
- config_name: orv | |
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- name: language | |
dtype: string | |
splits: | |
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num_bytes: 40484 | |
num_examples: 471 | |
download_size: 32213126 | |
dataset_size: 40484 | |
- config_name: ota | |
features: | |
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splits: | |
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num_examples: 486 | |
download_size: 32213126 | |
dataset_size: 44996 | |
- config_name: pes | |
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- name: language | |
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num_examples: 4285 | |
download_size: 32213126 | |
dataset_size: 433406 | |
- config_name: pl | |
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- name: paraphrase_set_id | |
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- name: sentence_id | |
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- name: lists | |
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- name: tags | |
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splits: | |
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num_bytes: 1722188 | |
num_examples: 22391 | |
download_size: 32213126 | |
dataset_size: 1722188 | |
- config_name: pt | |
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num_examples: 78430 | |
download_size: 32213126 | |
dataset_size: 6141178 | |
- config_name: rn | |
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download_size: 32213126 | |
dataset_size: 47387 | |
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splits: | |
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num_bytes: 162955 | |
num_examples: 2092 | |
download_size: 32213126 | |
dataset_size: 162955 | |
- config_name: ru | |
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num_examples: 251263 | |
download_size: 32213126 | |
dataset_size: 24540667 | |
- config_name: sl | |
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num_examples: 706 | |
download_size: 32213126 | |
dataset_size: 49610 | |
- config_name: sr | |
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num_examples: 8175 | |
download_size: 32213126 | |
dataset_size: 667308 | |
- config_name: sv | |
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num_bytes: 509884 | |
num_examples: 7005 | |
download_size: 32213126 | |
dataset_size: 509884 | |
- config_name: tk | |
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splits: | |
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num_examples: 1165 | |
download_size: 32213126 | |
dataset_size: 95047 | |
- config_name: tl | |
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sequence: string | |
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splits: | |
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num_examples: 1017 | |
download_size: 32213126 | |
dataset_size: 76059 | |
- config_name: tlh | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
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dtype: string | |
- name: lists | |
sequence: string | |
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- name: language | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 185309 | |
num_examples: 2804 | |
download_size: 32213126 | |
dataset_size: 185309 | |
- config_name: toki | |
features: | |
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dtype: string | |
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num_examples: 3738 | |
download_size: 32213126 | |
dataset_size: 310864 | |
- config_name: tr | |
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- name: lists | |
sequence: string | |
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splits: | |
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num_examples: 142088 | |
download_size: 32213126 | |
dataset_size: 11271158 | |
- config_name: tt | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 277269 | |
num_examples: 2398 | |
download_size: 32213126 | |
dataset_size: 277269 | |
- config_name: ug | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
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dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
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splits: | |
- name: train | |
num_bytes: 118474 | |
num_examples: 1183 | |
download_size: 32213126 | |
dataset_size: 118474 | |
- config_name: uk | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
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dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
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splits: | |
- name: train | |
num_bytes: 4885677 | |
num_examples: 54431 | |
download_size: 32213126 | |
dataset_size: 4885677 | |
- config_name: ur | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
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- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
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- name: language | |
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splits: | |
- name: train | |
num_bytes: 24075 | |
num_examples: 252 | |
download_size: 32213126 | |
dataset_size: 24075 | |
- config_name: vi | |
features: | |
- name: paraphrase_set_id | |
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- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
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- name: language | |
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splits: | |
- name: train | |
num_bytes: 84773 | |
num_examples: 962 | |
download_size: 32213126 | |
dataset_size: 84773 | |
- config_name: vo | |
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dtype: string | |
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sequence: string | |
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splits: | |
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num_examples: 328 | |
download_size: 32213126 | |
dataset_size: 22164 | |
- config_name: war | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 25759 | |
num_examples: 327 | |
download_size: 32213126 | |
dataset_size: 25759 | |
- config_name: wuu | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 31640 | |
num_examples: 408 | |
download_size: 32213126 | |
dataset_size: 31640 | |
- config_name: yue | |
features: | |
- name: paraphrase_set_id | |
dtype: string | |
- name: sentence_id | |
dtype: string | |
- name: paraphrase | |
dtype: string | |
- name: lists | |
sequence: string | |
- name: tags | |
sequence: string | |
- name: language | |
dtype: string | |
splits: | |
- name: train | |
num_bytes: 42766 | |
num_examples: 561 | |
download_size: 32213126 | |
dataset_size: 42766 | |
configs: | |
- config_name: af | |
data_files: | |
- split: train | |
path: af/train-* | |
- config_name: all_languages | |
data_files: | |
- split: train | |
path: all_languages/train-* | |
default: true | |
- config_name: ar | |
data_files: | |
- split: train | |
path: ar/train-* | |
- config_name: az | |
data_files: | |
- split: train | |
path: az/train-* | |
- config_name: be | |
data_files: | |
- split: train | |
path: be/train-* | |
- config_name: ber | |
data_files: | |
- split: train | |
path: ber/train-* | |
- config_name: bg | |
data_files: | |
- split: train | |
path: bg/train-* | |
- config_name: bn | |
data_files: | |
- split: train | |
path: bn/train-* | |
- config_name: br | |
data_files: | |
- split: train | |
path: br/train-* | |
- config_name: ca | |
data_files: | |
- split: train | |
path: ca/train-* | |
- config_name: cbk | |
data_files: | |
- split: train | |
path: cbk/train-* | |
- config_name: cmn | |
data_files: | |
- split: train | |
path: cmn/train-* | |
- config_name: cs | |
data_files: | |
- split: train | |
path: cs/train-* | |
- config_name: da | |
data_files: | |
- split: train | |
path: da/train-* | |
- config_name: de | |
data_files: | |
- split: train | |
path: de/train-* | |
- config_name: el | |
data_files: | |
- split: train | |
path: el/train-* | |
- config_name: en | |
data_files: | |
- split: train | |
path: en/train-* | |
- config_name: eo | |
data_files: | |
- split: train | |
path: eo/train-* | |
- config_name: es | |
data_files: | |
- split: train | |
path: es/train-* | |
- config_name: et | |
data_files: | |
- split: train | |
path: et/train-* | |
- config_name: eu | |
data_files: | |
- split: train | |
path: eu/train-* | |
- config_name: fi | |
data_files: | |
- split: train | |
path: fi/train-* | |
- config_name: fr | |
data_files: | |
- split: train | |
path: fr/train-* | |
- config_name: gl | |
data_files: | |
- split: train | |
path: gl/train-* | |
- config_name: gos | |
data_files: | |
- split: train | |
path: gos/train-* | |
- config_name: he | |
data_files: | |
- split: train | |
path: he/train-* | |
- config_name: hi | |
data_files: | |
- split: train | |
path: hi/train-* | |
- config_name: hr | |
data_files: | |
- split: train | |
path: hr/train-* | |
- config_name: hu | |
data_files: | |
- split: train | |
path: hu/train-* | |
- config_name: hy | |
data_files: | |
- split: train | |
path: hy/train-* | |
- config_name: ia | |
data_files: | |
- split: train | |
path: ia/train-* | |
- config_name: id | |
data_files: | |
- split: train | |
path: id/train-* | |
- config_name: ie | |
data_files: | |
- split: train | |
path: ie/train-* | |
- config_name: io | |
data_files: | |
- split: train | |
path: io/train-* | |
- config_name: is | |
data_files: | |
- split: train | |
path: is/train-* | |
- config_name: it | |
data_files: | |
- split: train | |
path: it/train-* | |
- config_name: ja | |
data_files: | |
- split: train | |
path: ja/train-* | |
- config_name: jbo | |
data_files: | |
- split: train | |
path: jbo/train-* | |
- config_name: kab | |
data_files: | |
- split: train | |
path: kab/train-* | |
- config_name: ko | |
data_files: | |
- split: train | |
path: ko/train-* | |
- config_name: kw | |
data_files: | |
- split: train | |
path: kw/train-* | |
- config_name: la | |
data_files: | |
- split: train | |
path: la/train-* | |
- config_name: lfn | |
data_files: | |
- split: train | |
path: lfn/train-* | |
- config_name: lt | |
data_files: | |
- split: train | |
path: lt/train-* | |
- config_name: mk | |
data_files: | |
- split: train | |
path: mk/train-* | |
- config_name: mr | |
data_files: | |
- split: train | |
path: mr/train-* | |
- config_name: nb | |
data_files: | |
- split: train | |
path: nb/train-* | |
# Dataset Card for TaPaCo Corpus | |
## 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:** [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://zenodo.org/record/3707949#.X9Dh0cYza3I) | |
- **Paper:** [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://www.aclweb.org/anthology/2020.lrec-1.848.pdf) | |
- **Data:** https://doi.org/10.5281/zenodo.3707949 | |
- **Point of Contact:** [Yves Scherrer](https://blogs.helsinki.fi/yvesscherrer/) | |
### Dataset Summary | |
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database. | |
Tatoeba is a crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences | |
and translations for particular linguistic constructions and words. The paraphrase corpus is created by populating a | |
graph with Tatoeba sentences and equivalence links between sentences “meaning the same thing”. This graph is then | |
traversed to extract sets of paraphrases. Several language-independent filters and pruning steps are applied to | |
remove uninteresting sentences. A manual evaluation performed on three languages shows that between half and three | |
quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, | |
or near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million | |
sentences, with 200 – 250 000 sentences per language. It covers a range of languages for which, to our knowledge, | |
no other paraphrase dataset exists. | |
### Supported Tasks and Leaderboards | |
Paraphrase detection and generation have become popular tasks in NLP | |
and are increasingly integrated into a wide variety of common downstream tasks such as machine translation | |
, information retrieval, question answering, and semantic parsing. Most of the existing datasets | |
cover only a single language – in most cases English – or a small number of languages. Furthermore, some paraphrase | |
datasets focus on lexical and phrasal rather than sentential paraphrases, while others are created (semi | |
-)automatically using machine translation. | |
The number of sentences per language ranges from 200 to 250 000, which makes the dataset | |
more suitable for fine-tuning and evaluation purposes than | |
for training. It is well-suited for multi-reference evaluation | |
of paraphrase generation models, as there is generally not a | |
single correct way of paraphrasing a given input sentence. | |
### Languages | |
The dataset contains paraphrases in Afrikaans, Arabic, Azerbaijani, Belarusian, Berber languages, Bulgarian, Bengali | |
, Breton, Catalan; Valencian, Chavacano, Mandarin, Czech, Danish, German, Greek, Modern (1453-), English, Esperanto | |
, Spanish; Castilian, Estonian, Basque, Finnish, French, Galician, Gronings, Hebrew, Hindi, Croatian, Hungarian | |
, Armenian, Interlingua (International Auxiliary Language Association), Indonesian, Interlingue; Occidental, Ido | |
, Icelandic, Italian, Japanese, Lojban, Kabyle, Korean, Cornish, Latin, Lingua Franca Nova\t, Lithuanian, Macedonian | |
, Marathi, Bokmål, Norwegian; Norwegian Bokmål, Low German; Low Saxon; German, Low; Saxon, Low, Dutch; Flemish, ]Old | |
Russian, Turkish, Ottoman (1500-1928), Iranian Persian, Polish, Portuguese, Rundi, Romanian; Moldavian; Moldovan, | |
Russian, Slovenian, Serbian, Swedish, Turkmen, Tagalog, Klingon; tlhIngan-Hol, Toki Pona, Turkish, Tatar, | |
Uighur; Uyghur, Ukrainian, Urdu, Vietnamese, Volapük, Waray, Wu Chinese and Yue Chinese | |
## Dataset Structure | |
### Data Instances | |
Each data instance corresponds to a paraphrase, e.g.: | |
``` | |
{ | |
'paraphrase_set_id': '1483', | |
'sentence_id': '5778896', | |
'paraphrase': 'Ɣremt adlis-a.', | |
'lists': ['7546'], | |
'tags': [''], | |
'language': 'ber' | |
} | |
``` | |
### Data Fields | |
Each dialogue instance has the following fields: | |
- `paraphrase_set_id`: a running number that groups together all sentences that are considered paraphrases of each | |
other | |
- `sentence_id`: OPUS sentence id | |
- `paraphrase`: Sentential paraphrase in a given language for a given paraphrase_set_id | |
- `lists`: Contributors can add sentences to list in order to specify the original source of the data | |
- `tags`: Indicates morphological or phonological properties of the sentence when available | |
- `language`: Language identifier, one of the 73 languages that belong to this dataset. | |
### Data Splits | |
The dataset is having a single `train` split, contains a total of 1.9 million sentences, with 200 – 250 000 | |
sentences per language | |
## 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 | |
Creative Commons Attribution 2.0 Generic | |
### Citation Information | |
``` | |
@dataset{scherrer_yves_2020_3707949, | |
author = {Scherrer, Yves}, | |
title = {{TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages}}, | |
month = mar, | |
year = 2020, | |
publisher = {Zenodo}, | |
version = {1.0}, | |
doi = {10.5281/zenodo.3707949}, | |
url = {https://doi.org/10.5281/zenodo.3707949} | |
} | |
``` | |
### Contributions | |
Thanks to [@pacman100](https://github.com/pacman100) for adding this dataset. |