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Datasets:
csebuetnlp
/
xlsum

Tasks:
Summarization
Text Generation
Modalities:
Text
Languages:
Amharic
Arabic
Azerbaijani
Size:
1M - 10M
ArXiv:
Tags:
conditional-text-generation
Libraries:
Datasets
License:
Dataset card Data Studio Files
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Community
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abhik1505040 commited on
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1 Parent(s): 68f72f3

Updated language codes

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  1. README.md +49 -45
README.md CHANGED
@@ -4,51 +4,49 @@ task_categories:
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  task_ids:
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  - summarization
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  languages:
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- - amharic
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- - arabic
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- - azerbaijani
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- - bengali
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- - burmese
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- - chinese_simplified
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- - chinese_traditional
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- - english
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- - french
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- - gujarati
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- - hausa
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- - hindi
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- - igbo
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- - indonesian
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- - japanese
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- - kirundi
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- - korean
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- - kyrgyz
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- - marathi
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- - nepali
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- - oromo
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- - pashto
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- - persian
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  - pidgin
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- - portuguese
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- - punjabi
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- - russian
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- - scottish_gaelic
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- - serbian_cyrillic
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- - serbian_latin
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- - sinhala
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- - somali
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- - spanish
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- - swahili
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- - tamil
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- - telugu
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- - thai
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- - tigrinya
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- - turkish
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- - ukrainian
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- - urdu
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- - uzbek
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- - vietnamese
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- - welsh
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- - yoruba
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  licenses:
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  - cc-by-nc-sa-4.0
@@ -69,6 +67,7 @@ paperswithcode_id: xl-sum
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  - [Dataset Summary](#dataset-summary)
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  - [Supported Tasks and Leaderboards](#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-fields)
@@ -111,8 +110,13 @@ We present XLSum, a comprehensive and diverse dataset comprising 1.35 million pr
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  `amharic`, `arabic`, `azerbaijani`, `bengali`, `burmese`, `chinese_simplified`, `chinese_traditional`, `english`, `french`, `gujarati`, `hausa`, `hindi`, `igbo`, `indonesian`, `japanese`, `kirundi`, `korean`, `kyrgyz`, `marathi`, `nepali`, `oromo`, `pashto`, `persian`, `pidgin` `**`, `portuguese`, `punjabi`, `russian`, `scottish_gaelic`, `serbian_cyrillic`, `serbian_latin`, `sinhala`, `somali`, `spanish`, `swahili`, `tamil`, `telugu`, `thai`, `tigrinya`, `turkish`, `ukrainian`, `urdu`, `uzbek`, `vietnamese`, `welsh`, `yoruba`
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- `**`West African Pidgin English
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  ## Dataset Structure
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  ### Data Instances
 
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  task_ids:
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  - summarization
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  languages:
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+ - am
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+ - ar
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+ - az
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+ - bn
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+ - my
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+ - zh
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+ - en
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+ - fr
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+ - gu
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+ - ha
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+ - hi
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+ - ig
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+ - id
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+ - ja
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+ - rn
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+ - ko
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+ - ky
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+ - mr
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+ - np
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+ - om
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+ - ps
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+ - fa
 
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  - pidgin
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+ - pt
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+ - pa
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+ - ru
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+ - gd
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+ - sr
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+ - si
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+ - so
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+ - es
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+ - sw
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+ - ta
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+ - te
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+ - th
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+ - ti
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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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+ - cy
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+ - yo
 
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  licenses:
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  - cc-by-nc-sa-4.0
 
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  - [Dataset Summary](#dataset-summary)
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  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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  - [Languages](#languages)
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+ - [Usage](#usage)
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  - [Dataset Structure](#dataset-structure)
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  - [Data Instances](#data-instances)
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  - [Data Fields](#data-fields)
 
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  `amharic`, `arabic`, `azerbaijani`, `bengali`, `burmese`, `chinese_simplified`, `chinese_traditional`, `english`, `french`, `gujarati`, `hausa`, `hindi`, `igbo`, `indonesian`, `japanese`, `kirundi`, `korean`, `kyrgyz`, `marathi`, `nepali`, `oromo`, `pashto`, `persian`, `pidgin` `**`, `portuguese`, `punjabi`, `russian`, `scottish_gaelic`, `serbian_cyrillic`, `serbian_latin`, `sinhala`, `somali`, `spanish`, `swahili`, `tamil`, `telugu`, `thai`, `tigrinya`, `turkish`, `ukrainian`, `urdu`, `uzbek`, `vietnamese`, `welsh`, `yoruba`
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+ `**` West African Pidgin English
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+ ### Usage
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+ ```python
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+ from datasets import load_dataset
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+ dataset = load_dataset("csebuetnlp/xlsum", <lang>)
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+ ```
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  ## Dataset Structure
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  ### Data Instances