Datasets:
Modalities:
Text
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Size:
1M - 10M
Tags:
paraphrase-generation
License:
Commit
·
b75cafe
1
Parent(s):
fb939c2
Update parquet files
Browse filesThis view is limited to 50 files because it contains too many changes.
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- .gitattributes +0 -27
- README.md +0 -1831
- af/tapaco-train.parquet +3 -0
- all_languages/tapaco-train.parquet +3 -0
- ar/tapaco-train.parquet +3 -0
- az/tapaco-train.parquet +3 -0
- be/tapaco-train.parquet +3 -0
- ber/tapaco-train.parquet +3 -0
- bg/tapaco-train.parquet +3 -0
- bn/tapaco-train.parquet +3 -0
- br/tapaco-train.parquet +3 -0
- ca/tapaco-train.parquet +3 -0
- cbk/tapaco-train.parquet +3 -0
- cmn/tapaco-train.parquet +3 -0
- cs/tapaco-train.parquet +3 -0
- da/tapaco-train.parquet +3 -0
- dataset_infos.json +0 -0
- de/tapaco-train.parquet +3 -0
- el/tapaco-train.parquet +3 -0
- en/tapaco-train.parquet +3 -0
- eo/tapaco-train.parquet +3 -0
- es/tapaco-train.parquet +3 -0
- et/tapaco-train.parquet +3 -0
- eu/tapaco-train.parquet +3 -0
- fi/tapaco-train.parquet +3 -0
- fr/tapaco-train.parquet +3 -0
- gl/tapaco-train.parquet +3 -0
- gos/tapaco-train.parquet +3 -0
- he/tapaco-train.parquet +3 -0
- hi/tapaco-train.parquet +3 -0
- hr/tapaco-train.parquet +3 -0
- hu/tapaco-train.parquet +3 -0
- hy/tapaco-train.parquet +3 -0
- ia/tapaco-train.parquet +3 -0
- id/tapaco-train.parquet +3 -0
- ie/tapaco-train.parquet +3 -0
- io/tapaco-train.parquet +3 -0
- is/tapaco-train.parquet +3 -0
- it/tapaco-train.parquet +3 -0
- ja/tapaco-train.parquet +3 -0
- jbo/tapaco-train.parquet +3 -0
- kab/tapaco-train.parquet +3 -0
- ko/tapaco-train.parquet +3 -0
- kw/tapaco-train.parquet +3 -0
- la/tapaco-train.parquet +3 -0
- lfn/tapaco-train.parquet +3 -0
- lt/tapaco-train.parquet +3 -0
- mk/tapaco-train.parquet +3 -0
- mr/tapaco-train.parquet +3 -0
- nb/tapaco-train.parquet +3 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bin.* filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ftz filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.h5 filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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README.md
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| 1 |
-
---
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| 2 |
-
annotations_creators:
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| 3 |
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- machine-generated
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| 4 |
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language_creators:
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| 5 |
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- crowdsourced
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| 6 |
-
language:
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| 7 |
-
- af
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| 8 |
-
- ar
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| 9 |
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- az
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| 10 |
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- be
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| 11 |
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- ber
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| 12 |
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- bg
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| 13 |
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- bn
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| 14 |
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- br
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| 15 |
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- ca
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| 16 |
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- cbk
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| 17 |
-
- cmn
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| 18 |
-
- cs
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| 19 |
-
- da
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| 20 |
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- de
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| 21 |
-
- el
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| 22 |
-
- en
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| 23 |
-
- eo
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| 24 |
-
- es
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| 25 |
-
- et
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| 26 |
-
- eu
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| 27 |
-
- fi
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| 28 |
-
- fr
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| 29 |
-
- gl
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| 30 |
-
- gos
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| 31 |
-
- he
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| 32 |
-
- hi
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| 33 |
-
- hr
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| 34 |
-
- hu
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| 35 |
-
- hy
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| 36 |
-
- ia
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| 37 |
-
- id
|
| 38 |
-
- ie
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| 39 |
-
- io
|
| 40 |
-
- is
|
| 41 |
-
- it
|
| 42 |
-
- ja
|
| 43 |
-
- jbo
|
| 44 |
-
- kab
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| 45 |
-
- ko
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| 46 |
-
- kw
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| 47 |
-
- la
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| 48 |
-
- lfn
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| 49 |
-
- lt
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| 50 |
-
- mk
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| 51 |
-
- mr
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| 52 |
-
- nb
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| 53 |
-
- nds
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| 54 |
-
- nl
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| 55 |
-
- orv
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| 56 |
-
- ota
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| 57 |
-
- pes
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| 58 |
-
- pl
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| 59 |
-
- pt
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| 60 |
-
- rn
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| 61 |
-
- ro
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| 62 |
-
- ru
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| 63 |
-
- sl
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| 64 |
-
- sr
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| 65 |
-
- sv
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| 66 |
-
- tk
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| 67 |
-
- tl
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| 68 |
-
- tlh
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| 69 |
-
- tok
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| 70 |
-
- tr
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| 71 |
-
- tt
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| 72 |
-
- ug
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| 73 |
-
- uk
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| 74 |
-
- ur
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| 75 |
-
- vi
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| 76 |
-
- vo
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| 77 |
-
- war
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| 78 |
-
- wuu
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| 79 |
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- yue
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| 80 |
-
license:
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| 81 |
-
- cc-by-2.0
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| 82 |
-
multilinguality:
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| 83 |
-
- multilingual
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| 84 |
-
size_categories:
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| 85 |
-
- 100K<n<1M
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| 86 |
-
- 10K<n<100K
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| 87 |
-
- 1K<n<10K
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| 88 |
-
- 1M<n<10M
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| 89 |
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- n<1K
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| 90 |
-
source_datasets:
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| 91 |
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- extended|other-tatoeba
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| 92 |
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task_categories:
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| 93 |
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- text2text-generation
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| 94 |
-
- translation
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| 95 |
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- text-classification
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| 96 |
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task_ids:
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| 97 |
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- semantic-similarity-classification
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| 98 |
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paperswithcode_id: tapaco
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pretty_name: TaPaCo Corpus
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configs:
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| 101 |
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- af
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| 102 |
-
- all_languages
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| 103 |
-
- ar
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| 104 |
-
- az
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| 105 |
-
- be
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| 106 |
-
- ber
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| 107 |
-
- bg
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| 108 |
-
- bn
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| 109 |
-
- br
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| 110 |
-
- ca
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| 111 |
-
- cbk
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| 112 |
-
- cmn
|
| 113 |
-
- cs
|
| 114 |
-
- da
|
| 115 |
-
- de
|
| 116 |
-
- el
|
| 117 |
-
- en
|
| 118 |
-
- eo
|
| 119 |
-
- es
|
| 120 |
-
- et
|
| 121 |
-
- eu
|
| 122 |
-
- fi
|
| 123 |
-
- fr
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| 124 |
-
- gl
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| 125 |
-
- gos
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| 126 |
-
- he
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| 127 |
-
- hi
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| 128 |
-
- hr
|
| 129 |
-
- hu
|
| 130 |
-
- hy
|
| 131 |
-
- ia
|
| 132 |
-
- id
|
| 133 |
-
- ie
|
| 134 |
-
- io
|
| 135 |
-
- is
|
| 136 |
-
- it
|
| 137 |
-
- ja
|
| 138 |
-
- jbo
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| 139 |
-
- kab
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| 140 |
-
- ko
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| 141 |
-
- kw
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| 142 |
-
- la
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| 143 |
-
- lfn
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| 144 |
-
- lt
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| 145 |
-
- mk
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| 146 |
-
- mr
|
| 147 |
-
- nb
|
| 148 |
-
- nds
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| 149 |
-
- nl
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| 150 |
-
- orv
|
| 151 |
-
- ota
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| 152 |
-
- pes
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| 153 |
-
- pl
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| 154 |
-
- pt
|
| 155 |
-
- rn
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| 156 |
-
- ro
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| 157 |
-
- ru
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| 158 |
-
- sl
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| 159 |
-
- sr
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| 160 |
-
- sv
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| 161 |
-
- tk
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| 162 |
-
- tl
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| 163 |
-
- tlh
|
| 164 |
-
- tok
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| 165 |
-
- tr
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| 166 |
-
- tt
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| 167 |
-
- ug
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| 168 |
-
- uk
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| 169 |
-
- ur
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| 170 |
-
- vi
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| 171 |
-
- vo
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| 172 |
-
- war
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| 173 |
-
- wuu
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| 174 |
-
- yue
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| 175 |
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tags:
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| 176 |
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- paraphrase-generation
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| 177 |
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dataset_info:
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| 178 |
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- config_name: all_languages
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features:
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| 180 |
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- name: paraphrase_set_id
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| 181 |
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dtype: string
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| 182 |
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- name: sentence_id
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| 183 |
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dtype: string
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| 184 |
-
- name: paraphrase
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| 185 |
-
dtype: string
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| 186 |
-
- name: lists
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| 187 |
-
sequence: string
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| 188 |
-
- name: tags
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-
sequence: string
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| 190 |
-
- name: language
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-
dtype: string
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| 192 |
-
splits:
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| 193 |
-
- name: train
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| 194 |
-
num_bytes: 162802556
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| 195 |
-
num_examples: 1926192
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| 196 |
-
download_size: 32213126
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| 197 |
-
dataset_size: 162802556
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| 198 |
-
- config_name: af
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| 199 |
-
features:
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| 200 |
-
- name: paraphrase_set_id
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| 201 |
-
dtype: string
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| 202 |
-
- name: sentence_id
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| 203 |
-
dtype: string
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| 204 |
-
- name: paraphrase
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| 205 |
-
dtype: string
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| 206 |
-
- name: lists
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| 207 |
-
sequence: string
|
| 208 |
-
- name: tags
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| 209 |
-
sequence: string
|
| 210 |
-
- name: language
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| 211 |
-
dtype: string
|
| 212 |
-
splits:
|
| 213 |
-
- name: train
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| 214 |
-
num_bytes: 21219
|
| 215 |
-
num_examples: 307
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| 216 |
-
download_size: 32213126
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| 217 |
-
dataset_size: 21219
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| 218 |
-
- config_name: ar
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| 219 |
-
features:
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| 220 |
-
- name: paraphrase_set_id
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| 221 |
-
dtype: string
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| 222 |
-
- name: sentence_id
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| 223 |
-
dtype: string
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| 224 |
-
- name: paraphrase
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| 225 |
-
dtype: string
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| 226 |
-
- name: lists
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| 227 |
-
sequence: string
|
| 228 |
-
- name: tags
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| 229 |
-
sequence: string
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| 230 |
-
- name: language
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| 231 |
-
dtype: string
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| 232 |
-
splits:
|
| 233 |
-
- name: train
|
| 234 |
-
num_bytes: 546200
|
| 235 |
-
num_examples: 6446
|
| 236 |
-
download_size: 32213126
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| 237 |
-
dataset_size: 546200
|
| 238 |
-
- config_name: az
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| 239 |
-
features:
|
| 240 |
-
- name: paraphrase_set_id
|
| 241 |
-
dtype: string
|
| 242 |
-
- name: sentence_id
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| 243 |
-
dtype: string
|
| 244 |
-
- name: paraphrase
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| 245 |
-
dtype: string
|
| 246 |
-
- name: lists
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| 247 |
-
sequence: string
|
| 248 |
-
- name: tags
|
| 249 |
-
sequence: string
|
| 250 |
-
- name: language
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| 251 |
-
dtype: string
|
| 252 |
-
splits:
|
| 253 |
-
- name: train
|
| 254 |
-
num_bytes: 44461
|
| 255 |
-
num_examples: 624
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| 256 |
-
download_size: 32213126
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| 257 |
-
dataset_size: 44461
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| 258 |
-
- config_name: be
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| 259 |
-
features:
|
| 260 |
-
- name: paraphrase_set_id
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| 261 |
-
dtype: string
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| 262 |
-
- name: sentence_id
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| 263 |
-
dtype: string
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| 264 |
-
- name: paraphrase
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| 265 |
-
dtype: string
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| 266 |
-
- name: lists
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| 267 |
-
sequence: string
|
| 268 |
-
- name: tags
|
| 269 |
-
sequence: string
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| 270 |
-
- name: language
|
| 271 |
-
dtype: string
|
| 272 |
-
splits:
|
| 273 |
-
- name: train
|
| 274 |
-
num_bytes: 140376
|
| 275 |
-
num_examples: 1512
|
| 276 |
-
download_size: 32213126
|
| 277 |
-
dataset_size: 140376
|
| 278 |
-
- config_name: ber
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| 279 |
-
features:
|
| 280 |
-
- name: paraphrase_set_id
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| 281 |
-
dtype: string
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| 282 |
-
- name: sentence_id
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| 283 |
-
dtype: string
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| 284 |
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- name: paraphrase
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| 285 |
-
dtype: string
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| 286 |
-
- name: lists
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| 287 |
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sequence: string
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| 288 |
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- name: tags
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| 289 |
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sequence: string
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| 290 |
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- name: language
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| 291 |
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| 292 |
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splits:
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| 293 |
-
- name: train
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| 294 |
-
num_bytes: 5118620
|
| 295 |
-
num_examples: 67484
|
| 296 |
-
download_size: 32213126
|
| 297 |
-
dataset_size: 5118620
|
| 298 |
-
- config_name: bg
|
| 299 |
-
features:
|
| 300 |
-
- name: paraphrase_set_id
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| 301 |
-
dtype: string
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| 302 |
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- name: sentence_id
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| 303 |
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dtype: string
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| 304 |
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| 305 |
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dtype: string
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| 306 |
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- name: lists
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| 307 |
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sequence: string
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| 308 |
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sequence: string
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| 310 |
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- name: language
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| 311 |
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dtype: string
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| 312 |
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splits:
|
| 313 |
-
- name: train
|
| 314 |
-
num_bytes: 590535
|
| 315 |
-
num_examples: 6324
|
| 316 |
-
download_size: 32213126
|
| 317 |
-
dataset_size: 590535
|
| 318 |
-
- config_name: bn
|
| 319 |
-
features:
|
| 320 |
-
- name: paraphrase_set_id
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| 321 |
-
dtype: string
|
| 322 |
-
- name: sentence_id
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| 323 |
-
dtype: string
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| 324 |
-
- name: paraphrase
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| 325 |
-
dtype: string
|
| 326 |
-
- name: lists
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| 327 |
-
sequence: string
|
| 328 |
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- name: tags
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| 329 |
-
sequence: string
|
| 330 |
-
- name: language
|
| 331 |
-
dtype: string
|
| 332 |
-
splits:
|
| 333 |
-
- name: train
|
| 334 |
-
num_bytes: 146654
|
| 335 |
-
num_examples: 1440
|
| 336 |
-
download_size: 32213126
|
| 337 |
-
dataset_size: 146654
|
| 338 |
-
- config_name: br
|
| 339 |
-
features:
|
| 340 |
-
- name: paraphrase_set_id
|
| 341 |
-
dtype: string
|
| 342 |
-
- name: sentence_id
|
| 343 |
-
dtype: string
|
| 344 |
-
- name: paraphrase
|
| 345 |
-
dtype: string
|
| 346 |
-
- name: lists
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| 347 |
-
sequence: string
|
| 348 |
-
- name: tags
|
| 349 |
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sequence: string
|
| 350 |
-
- name: language
|
| 351 |
-
dtype: string
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| 352 |
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splits:
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| 353 |
-
- name: train
|
| 354 |
-
num_bytes: 177919
|
| 355 |
-
num_examples: 2536
|
| 356 |
-
download_size: 32213126
|
| 357 |
-
dataset_size: 177919
|
| 358 |
-
- config_name: ca
|
| 359 |
-
features:
|
| 360 |
-
- name: paraphrase_set_id
|
| 361 |
-
dtype: string
|
| 362 |
-
- name: sentence_id
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| 363 |
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dtype: string
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| 364 |
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- name: paraphrase
|
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---
|
| 1659 |
-
|
| 1660 |
-
# Dataset Card for TaPaCo Corpus
|
| 1661 |
-
|
| 1662 |
-
## Table of Contents
|
| 1663 |
-
- [Dataset Description](#dataset-description)
|
| 1664 |
-
- [Dataset Summary](#dataset-summary)
|
| 1665 |
-
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
| 1666 |
-
- [Languages](#languages)
|
| 1667 |
-
- [Dataset Structure](#dataset-structure)
|
| 1668 |
-
- [Data Instances](#data-instances)
|
| 1669 |
-
- [Data Fields](#data-fields)
|
| 1670 |
-
- [Data Splits](#data-splits)
|
| 1671 |
-
- [Dataset Creation](#dataset-creation)
|
| 1672 |
-
- [Curation Rationale](#curation-rationale)
|
| 1673 |
-
- [Source Data](#source-data)
|
| 1674 |
-
- [Annotations](#annotations)
|
| 1675 |
-
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
| 1676 |
-
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
| 1677 |
-
- [Social Impact of Dataset](#social-impact-of-dataset)
|
| 1678 |
-
- [Discussion of Biases](#discussion-of-biases)
|
| 1679 |
-
- [Other Known Limitations](#other-known-limitations)
|
| 1680 |
-
- [Additional Information](#additional-information)
|
| 1681 |
-
- [Dataset Curators](#dataset-curators)
|
| 1682 |
-
- [Licensing Information](#licensing-information)
|
| 1683 |
-
- [Citation Information](#citation-information)
|
| 1684 |
-
- [Contributions](#contributions)
|
| 1685 |
-
|
| 1686 |
-
## Dataset Description
|
| 1687 |
-
|
| 1688 |
-
- **Homepage:** [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://zenodo.org/record/3707949#.X9Dh0cYza3I)
|
| 1689 |
-
- **Paper:** [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://www.aclweb.org/anthology/2020.lrec-1.848.pdf)
|
| 1690 |
-
- **Point of Contact:** [Yves Scherrer](https://blogs.helsinki.fi/yvesscherrer/)
|
| 1691 |
-
|
| 1692 |
-
### Dataset Summary
|
| 1693 |
-
A freely available paraphrase corpus for 73 languages extracted from the Tatoeba database.
|
| 1694 |
-
Tatoeba is a crowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences
|
| 1695 |
-
and translations for particular linguistic constructions and words. The paraphrase corpus is created by populating a
|
| 1696 |
-
graph with Tatoeba sentences and equivalence links between sentences “meaning the same thing”. This graph is then
|
| 1697 |
-
traversed to extract sets of paraphrases. Several language-independent filters and pruning steps are applied to
|
| 1698 |
-
remove uninteresting sentences. A manual evaluation performed on three languages shows that between half and three
|
| 1699 |
-
quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial,
|
| 1700 |
-
or near-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million
|
| 1701 |
-
sentences, with 200 – 250 000 sentences per language. It covers a range of languages for which, to our knowledge,
|
| 1702 |
-
no other paraphrase dataset exists.
|
| 1703 |
-
|
| 1704 |
-
### Supported Tasks and Leaderboards
|
| 1705 |
-
Paraphrase detection and generation have become popular tasks in NLP
|
| 1706 |
-
and are increasingly integrated into a wide variety of common downstream tasks such as machine translation
|
| 1707 |
-
, information retrieval, question answering, and semantic parsing. Most of the existing datasets
|
| 1708 |
-
cover only a single language – in most cases English – or a small number of languages. Furthermore, some paraphrase
|
| 1709 |
-
datasets focus on lexical and phrasal rather than sentential paraphrases, while others are created (semi
|
| 1710 |
-
-)automatically using machine translation.
|
| 1711 |
-
|
| 1712 |
-
The number of sentences per language ranges from 200 to 250 000, which makes the dataset
|
| 1713 |
-
more suitable for fine-tuning and evaluation purposes than
|
| 1714 |
-
for training. It is well-suited for multi-reference evaluation
|
| 1715 |
-
of paraphrase generation models, as there is generally not a
|
| 1716 |
-
single correct way of paraphrasing a given input sentence.
|
| 1717 |
-
|
| 1718 |
-
### Languages
|
| 1719 |
-
|
| 1720 |
-
The dataset contains paraphrases in Afrikaans, Arabic, Azerbaijani, Belarusian, Berber languages, Bulgarian, Bengali
|
| 1721 |
-
, Breton, Catalan; Valencian, Chavacano, Mandarin, Czech, Danish, German, Greek, Modern (1453-), English, Esperanto
|
| 1722 |
-
, Spanish; Castilian, Estonian, Basque, Finnish, French, Galician, Gronings, Hebrew, Hindi, Croatian, Hungarian
|
| 1723 |
-
, Armenian, Interlingua (International Auxiliary Language Association), Indonesian, Interlingue; Occidental, Ido
|
| 1724 |
-
, Icelandic, Italian, Japanese, Lojban, Kabyle, Korean, Cornish, Latin, Lingua Franca Nova\t, Lithuanian, Macedonian
|
| 1725 |
-
, Marathi, Bokmål, Norwegian; Norwegian Bokmål, Low German; Low Saxon; German, Low; Saxon, Low, Dutch; Flemish, ]Old
|
| 1726 |
-
Russian, Turkish, Ottoman (1500-1928), Iranian Persian, Polish, Portuguese, Rundi, Romanian; Moldavian; Moldovan,
|
| 1727 |
-
Russian, Slovenian, Serbian, Swedish, Turkmen, Tagalog, Klingon; tlhIngan-Hol, Toki Pona, Turkish, Tatar,
|
| 1728 |
-
Uighur; Uyghur, Ukrainian, Urdu, Vietnamese, Volapük, Waray, Wu Chinese and Yue Chinese
|
| 1729 |
-
|
| 1730 |
-
## Dataset Structure
|
| 1731 |
-
|
| 1732 |
-
### Data Instances
|
| 1733 |
-
Each data instance corresponds to a paraphrase, e.g.:
|
| 1734 |
-
```
|
| 1735 |
-
{
|
| 1736 |
-
'paraphrase_set_id': '1483',
|
| 1737 |
-
'sentence_id': '5778896',
|
| 1738 |
-
'paraphrase': 'Ɣremt adlis-a.',
|
| 1739 |
-
'lists': ['7546'],
|
| 1740 |
-
'tags': [''],
|
| 1741 |
-
'language': 'ber'
|
| 1742 |
-
}
|
| 1743 |
-
```
|
| 1744 |
-
|
| 1745 |
-
### Data Fields
|
| 1746 |
-
Each dialogue instance has the following fields:
|
| 1747 |
-
- `paraphrase_set_id`: a running number that groups together all sentences that are considered paraphrases of each
|
| 1748 |
-
other
|
| 1749 |
-
- `sentence_id`: OPUS sentence id
|
| 1750 |
-
- `paraphrase`: Sentential paraphrase in a given language for a given paraphrase_set_id
|
| 1751 |
-
- `lists`: Contributors can add sentences to list in order to specify the original source of the data
|
| 1752 |
-
- `tags`: Indicates morphological or phonological properties of the sentence when available
|
| 1753 |
-
- `language`: Language identifier, one of the 73 languages that belong to this dataset.
|
| 1754 |
-
|
| 1755 |
-
### Data Splits
|
| 1756 |
-
|
| 1757 |
-
The dataset is having a single `train` split, contains a total of 1.9 million sentences, with 200 – 250 000
|
| 1758 |
-
sentences per language
|
| 1759 |
-
|
| 1760 |
-
## Dataset Creation
|
| 1761 |
-
|
| 1762 |
-
### Curation Rationale
|
| 1763 |
-
|
| 1764 |
-
[More Information Needed]
|
| 1765 |
-
|
| 1766 |
-
### Source Data
|
| 1767 |
-
|
| 1768 |
-
#### Initial Data Collection and Normalization
|
| 1769 |
-
|
| 1770 |
-
[More Information Needed]
|
| 1771 |
-
|
| 1772 |
-
#### Who are the source language producers?
|
| 1773 |
-
|
| 1774 |
-
[More Information Needed]
|
| 1775 |
-
|
| 1776 |
-
### Annotations
|
| 1777 |
-
|
| 1778 |
-
#### Annotation process
|
| 1779 |
-
|
| 1780 |
-
[More Information Needed]
|
| 1781 |
-
|
| 1782 |
-
#### Who are the annotators?
|
| 1783 |
-
|
| 1784 |
-
[More Information Needed]
|
| 1785 |
-
|
| 1786 |
-
### Personal and Sensitive Information
|
| 1787 |
-
|
| 1788 |
-
[More Information Needed]
|
| 1789 |
-
|
| 1790 |
-
## Considerations for Using the Data
|
| 1791 |
-
|
| 1792 |
-
### Social Impact of Dataset
|
| 1793 |
-
|
| 1794 |
-
[More Information Needed]
|
| 1795 |
-
|
| 1796 |
-
### Discussion of Biases
|
| 1797 |
-
|
| 1798 |
-
[More Information Needed]
|
| 1799 |
-
|
| 1800 |
-
### Other Known Limitations
|
| 1801 |
-
|
| 1802 |
-
[More Information Needed]
|
| 1803 |
-
|
| 1804 |
-
## Additional Information
|
| 1805 |
-
|
| 1806 |
-
### Dataset Curators
|
| 1807 |
-
|
| 1808 |
-
[More Information Needed]
|
| 1809 |
-
|
| 1810 |
-
### Licensing Information
|
| 1811 |
-
|
| 1812 |
-
Creative Commons Attribution 2.0 Generic
|
| 1813 |
-
|
| 1814 |
-
### Citation Information
|
| 1815 |
-
|
| 1816 |
-
```
|
| 1817 |
-
@dataset{scherrer_yves_2020_3707949,
|
| 1818 |
-
author = {Scherrer, Yves},
|
| 1819 |
-
title = {{TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages}},
|
| 1820 |
-
month = mar,
|
| 1821 |
-
year = 2020,
|
| 1822 |
-
publisher = {Zenodo},
|
| 1823 |
-
version = {1.0},
|
| 1824 |
-
doi = {10.5281/zenodo.3707949},
|
| 1825 |
-
url = {https://doi.org/10.5281/zenodo.3707949}
|
| 1826 |
-
}
|
| 1827 |
-
```
|
| 1828 |
-
|
| 1829 |
-
### Contributions
|
| 1830 |
-
|
| 1831 |
-
Thanks to [@pacman100](https://github.com/pacman100) for adding this dataset.
|
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gos/tapaco-train.parquet
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