Datasets:
Modalities:
Text
Formats:
parquet
Sub-tasks:
semantic-similarity-classification
Size:
1M - 10M
Tags:
paraphrase-generation
License:
parquet-converter
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Commit
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fb939c2
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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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*.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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README.md
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---
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annotations_creators:
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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 |
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language:
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7 |
-
- af
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8 |
-
- ar
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9 |
-
- az
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10 |
-
- be
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11 |
-
- ber
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- bg
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13 |
-
- bn
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14 |
-
- br
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15 |
-
- ca
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16 |
-
- cbk
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-
- cmn
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-
- cs
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-
- da
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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
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38 |
-
- ie
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39 |
-
- io
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40 |
-
- is
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41 |
-
- it
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42 |
-
- ja
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43 |
-
- jbo
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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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-
- nds
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54 |
-
- nl
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55 |
-
- orv
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-
- ota
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-
- pes
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-
- pl
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-
- pt
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-
- rn
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-
- ro
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-
- ru
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-
- sl
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-
- sr
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-
- sv
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-
- tk
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-
- tl
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-
- tlh
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-
- tok
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-
- tr
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-
- tt
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-
- ug
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-
- uk
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-
- ur
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-
- vi
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-
- vo
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- war
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- wuu
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- yue
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license:
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- cc-by-2.0
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multilinguality:
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- multilingual
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size_categories:
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- 100K<n<1M
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- 10K<n<100K
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- 1K<n<10K
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- 1M<n<10M
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- n<1K
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source_datasets:
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- extended|other-tatoeba
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task_categories:
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- text2text-generation
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- translation
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- text-classification
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task_ids:
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- semantic-similarity-classification
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paperswithcode_id: tapaco
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pretty_name: TaPaCo Corpus
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configs:
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- af
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- 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
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113 |
-
- cs
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114 |
-
- da
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115 |
-
- de
|
116 |
-
- el
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117 |
-
- en
|
118 |
-
- eo
|
119 |
-
- es
|
120 |
-
- et
|
121 |
-
- eu
|
122 |
-
- fi
|
123 |
-
- fr
|
124 |
-
- gl
|
125 |
-
- gos
|
126 |
-
- he
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127 |
-
- hi
|
128 |
-
- hr
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129 |
-
- hu
|
130 |
-
- hy
|
131 |
-
- ia
|
132 |
-
- id
|
133 |
-
- ie
|
134 |
-
- io
|
135 |
-
- is
|
136 |
-
- it
|
137 |
-
- ja
|
138 |
-
- jbo
|
139 |
-
- kab
|
140 |
-
- ko
|
141 |
-
- kw
|
142 |
-
- la
|
143 |
-
- lfn
|
144 |
-
- lt
|
145 |
-
- mk
|
146 |
-
- mr
|
147 |
-
- nb
|
148 |
-
- nds
|
149 |
-
- nl
|
150 |
-
- orv
|
151 |
-
- ota
|
152 |
-
- pes
|
153 |
-
- pl
|
154 |
-
- pt
|
155 |
-
- rn
|
156 |
-
- ro
|
157 |
-
- ru
|
158 |
-
- sl
|
159 |
-
- sr
|
160 |
-
- sv
|
161 |
-
- tk
|
162 |
-
- tl
|
163 |
-
- tlh
|
164 |
-
- tok
|
165 |
-
- tr
|
166 |
-
- tt
|
167 |
-
- ug
|
168 |
-
- uk
|
169 |
-
- ur
|
170 |
-
- vi
|
171 |
-
- vo
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172 |
-
- war
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173 |
-
- wuu
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-
- yue
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-
tags:
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-
- paraphrase-generation
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-
dataset_info:
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-
- config_name: all_languages
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features:
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-
- name: paraphrase_set_id
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-
dtype: string
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-
- name: sentence_id
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dtype: string
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-
- name: paraphrase
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dtype: string
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- name: lists
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-
sequence: string
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-
- name: tags
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-
sequence: string
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-
- name: language
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-
dtype: string
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-
splits:
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-
- name: train
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-
num_bytes: 162802556
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-
num_examples: 1926192
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-
download_size: 32213126
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-
dataset_size: 162802556
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-
- config_name: af
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-
features:
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-
- name: paraphrase_set_id
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-
dtype: string
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num_examples: 307
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-
download_size: 32213126
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dataset_size: 21219
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-
- config_name: ar
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-
features:
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- name: paraphrase_set_id
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num_examples: 6446
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download_size: 32213126
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dataset_size: 546200
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- config_name: az
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features:
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- name: paraphrase_set_id
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|
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download_size: 32213126
|
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dataset_size: 44461
|
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features:
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- name: paraphrase_set_id
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|
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|
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|
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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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