Datasets:
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Update files from the datasets library (from 1.2.0)
Browse filesRelease notes: https://github.com/huggingface/datasets/releases/tag/1.2.0
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- .gitattributes +27 -0
- README.md +315 -0
- dataset_infos.json +0 -0
- dummy/af/1.1.0/dummy_data.zip +3 -0
- dummy/an/1.1.0/dummy_data.zip +3 -0
- dummy/ar/1.1.0/dummy_data.zip +3 -0
- dummy/az/1.1.0/dummy_data.zip +3 -0
- dummy/be/1.1.0/dummy_data.zip +3 -0
- dummy/bg/1.1.0/dummy_data.zip +3 -0
- dummy/bn/1.1.0/dummy_data.zip +3 -0
- dummy/br/1.1.0/dummy_data.zip +3 -0
- dummy/bs/1.1.0/dummy_data.zip +3 -0
- dummy/ca/1.1.0/dummy_data.zip +3 -0
- dummy/cs/1.1.0/dummy_data.zip +3 -0
- dummy/cy/1.1.0/dummy_data.zip +3 -0
- dummy/da/1.1.0/dummy_data.zip +3 -0
- dummy/de/1.1.0/dummy_data.zip +3 -0
- dummy/el/1.1.0/dummy_data.zip +3 -0
- dummy/eo/1.1.0/dummy_data.zip +3 -0
- dummy/es/1.1.0/dummy_data.zip +3 -0
- dummy/et/1.1.0/dummy_data.zip +3 -0
- dummy/eu/1.1.0/dummy_data.zip +3 -0
- dummy/fa/1.1.0/dummy_data.zip +3 -0
- dummy/fi/1.1.0/dummy_data.zip +3 -0
- dummy/fo/1.1.0/dummy_data.zip +3 -0
- dummy/fr/1.1.0/dummy_data.zip +3 -0
- dummy/fy/1.1.0/dummy_data.zip +3 -0
- dummy/ga/1.1.0/dummy_data.zip +3 -0
- dummy/gd/1.1.0/dummy_data.zip +3 -0
- dummy/gl/1.1.0/dummy_data.zip +3 -0
- dummy/gu/1.1.0/dummy_data.zip +3 -0
- dummy/he/1.1.0/dummy_data.zip +3 -0
- dummy/hi/1.1.0/dummy_data.zip +3 -0
- dummy/hr/1.1.0/dummy_data.zip +3 -0
- dummy/ht/1.1.0/dummy_data.zip +3 -0
- dummy/hu/1.1.0/dummy_data.zip +3 -0
- dummy/hy/1.1.0/dummy_data.zip +3 -0
- dummy/ia/1.1.0/dummy_data.zip +3 -0
- dummy/id/1.1.0/dummy_data.zip +3 -0
- dummy/io/1.1.0/dummy_data.zip +3 -0
- dummy/is/1.1.0/dummy_data.zip +3 -0
- dummy/it/1.1.0/dummy_data.zip +3 -0
- dummy/ja/1.1.0/dummy_data.zip +3 -0
- dummy/ka/1.1.0/dummy_data.zip +3 -0
- dummy/km/1.1.0/dummy_data.zip +3 -0
- dummy/kn/1.1.0/dummy_data.zip +3 -0
- dummy/ko/1.1.0/dummy_data.zip +3 -0
- dummy/ku/1.1.0/dummy_data.zip +3 -0
- dummy/ky/1.1.0/dummy_data.zip +3 -0
- dummy/la/1.1.0/dummy_data.zip +3 -0
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md
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1 |
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---
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2 |
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annotations_creators:
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- expert-generated
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language_creators:
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- expert-generated
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languages:
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- af
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- an
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- ar
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- az
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- be
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- bg
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- bn
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- br
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- bs
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- ca
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- cs
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- cy
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- da
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- de
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- el
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- eo
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- es
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- et
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- eu
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- fa
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- fi
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- fo
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- fr
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- fy
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- ga
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- gd
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- gl
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- gu
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- he
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- hi
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- hr
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- ht
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- hu
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- hy
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- ia
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- id
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- io
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- is
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- it
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- ja
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- ka
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- km
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- kn
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- ko
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- ku
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- ky
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- la
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- lb
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- lt
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- lv
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- mk
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- mr
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- ms
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- mt
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- nl
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- nn
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- no
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- pl
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- pt
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- rm
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- ro
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- ru
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- sk
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- sl
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- sq
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- sr
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- sv
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- sw
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- ta
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- te
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- th
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- tk
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- tl
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- tr
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- uk
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- ur
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- uz
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- vi
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- vo
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- wa
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- yi
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- zh
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- zhw
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licenses:
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- gpl-3-0
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multilinguality:
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- multilingual
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size_categories:
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- n<1K
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source_datasets:
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- original
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task_categories:
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- text-classification
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task_ids:
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- sentiment-classification
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---
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# Dataset Card for SentiWS
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-instances)
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- [Data Splits](#data-instances)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** https://sites.google.com/site/datascienceslab/projects/multilingualsentiment
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- **Repository:** https://www.kaggle.com/rtatman/sentiment-lexicons-for-81-languages
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- **Paper:** [Needs More Information]
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- **Leaderboard:** [Needs More Information]
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- **Point of Contact:** [Needs More Information]
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### Dataset Summary
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This dataset add sentiment lexicons for 81 languages generated via graph propagation based on a knowledge graph--a graphical representation of real-world entities and the links between them
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### Supported Tasks and Leaderboards
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Sentiment-Classification
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### Languages
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Afrikaans
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Aragonese
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Arabic
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Azerbaijani
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Belarusian
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Bulgarian
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153 |
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Bengali
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Breton
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155 |
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Bosnian
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Catalan; Valencian
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157 |
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Czech
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158 |
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Welsh
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159 |
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Danish
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German
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161 |
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Greek, Modern
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162 |
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Esperanto
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163 |
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Spanish; Castilian
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Estonian
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Basque
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Persian
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Finnish
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Faroese
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French
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Western Frisian
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Irish
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Scottish Gaelic; Gaelic
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Galician
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Gujarati
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175 |
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Hebrew (modern)
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176 |
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Hindi
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Croatian
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178 |
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Haitian; Haitian Creole
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179 |
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Hungarian
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180 |
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Armenian
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181 |
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Interlingua
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182 |
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Indonesian
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Ido
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184 |
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Icelandic
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185 |
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Italian
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Japanese
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187 |
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Georgian
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188 |
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Khmer
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Kannada
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190 |
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Korean
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191 |
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Kurdish
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Kirghiz, Kyrgyz
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Latin
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194 |
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Luxembourgish, Letzeburgesch
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195 |
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Lithuanian
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196 |
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Latvian
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197 |
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Macedonian
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198 |
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Marathi (Marāṭhī)
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199 |
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Malay
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Maltese
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201 |
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Dutch
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202 |
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Norwegian Nynorsk
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203 |
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Norwegian
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Polish
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205 |
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Portuguese
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206 |
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Romansh
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207 |
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Romanian, Moldavian, Moldovan
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208 |
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Russian
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209 |
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Slovak
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210 |
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Slovene
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211 |
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Albanian
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212 |
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Serbian
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213 |
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Swedish
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214 |
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Swahili
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215 |
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Tamil
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216 |
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Telugu
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217 |
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Thai
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218 |
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Turkmen
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219 |
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Tagalog
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220 |
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Turkish
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221 |
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Ukrainian
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222 |
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Urdu
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223 |
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Uzbek
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224 |
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Vietnamese
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225 |
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Volapük
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226 |
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Walloon
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227 |
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Yiddish
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228 |
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Chinese
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229 |
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Zhoa
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230 |
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## Dataset Structure
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### Data Instances
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|
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```
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{
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"word":"die",
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"sentiment": 0, #"negative"
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}
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```
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### Data Fields
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243 |
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|
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- word: one word as a string,
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245 |
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- sentiment-score: the sentiment classification of the word as a string either negative (0) or positive (1)
|
246 |
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|
247 |
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### Data Splits
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248 |
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|
249 |
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[Needs More Information]
|
250 |
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|
251 |
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## Dataset Creation
|
252 |
+
|
253 |
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### Curation Rationale
|
254 |
+
|
255 |
+
[Needs More Information]
|
256 |
+
|
257 |
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### Source Data
|
258 |
+
|
259 |
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#### Initial Data Collection and Normalization
|
260 |
+
|
261 |
+
[Needs More Information]
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262 |
+
|
263 |
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#### Who are the source language producers?
|
264 |
+
|
265 |
+
[Needs More Information]
|
266 |
+
|
267 |
+
### Annotations
|
268 |
+
|
269 |
+
#### Annotation process
|
270 |
+
|
271 |
+
[Needs More Information]
|
272 |
+
|
273 |
+
#### Who are the annotators?
|
274 |
+
|
275 |
+
[Needs More Information]
|
276 |
+
|
277 |
+
### Personal and Sensitive Information
|
278 |
+
|
279 |
+
[Needs More Information]
|
280 |
+
|
281 |
+
## Considerations for Using the Data
|
282 |
+
|
283 |
+
### Social Impact of Dataset
|
284 |
+
|
285 |
+
[Needs More Information]
|
286 |
+
|
287 |
+
### Discussion of Biases
|
288 |
+
|
289 |
+
[Needs More Information]
|
290 |
+
|
291 |
+
### Other Known Limitations
|
292 |
+
|
293 |
+
[Needs More Information]
|
294 |
+
|
295 |
+
## Additional Information
|
296 |
+
|
297 |
+
### Dataset Curators
|
298 |
+
|
299 |
+
[Needs More Information]
|
300 |
+
|
301 |
+
### Licensing Information
|
302 |
+
|
303 |
+
GNU General Public License v3
|
304 |
+
|
305 |
+
### Citation Information
|
306 |
+
@inproceedings{inproceedings,
|
307 |
+
author = {Chen, Yanqing and Skiena, Steven},
|
308 |
+
year = {2014},
|
309 |
+
month = {06},
|
310 |
+
pages = {383-389},
|
311 |
+
title = {Building Sentiment Lexicons for All Major Languages},
|
312 |
+
volume = {2},
|
313 |
+
journal = {52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference},
|
314 |
+
doi = {10.3115/v1/P14-2063}
|
315 |
+
}
|
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