Add list of languages to dataset card

README.md

@@ -228,11 +228,123 @@ CC-100 is mainly intended to pretrain language models and word representations.
 
 ### Languages
 
-To load a language which isn't part of the config, all you need to do is specify the language code in the config.
-You can find the valid languages in Homepage section of Dataset Description: https://data.statmt.org/cc-100/
-E.g.
-
-`dataset = load_dataset("cc100", lang="en")`
+The languages in the dataset are:
+- af: Afrikaans (305M)
+- am: Amharic (133M)
+- ar: Arabic (5.4G)
+- as: Assamese (7.6M)
+- az: Azerbaijani (1.3G)
+- be: Belarusian (692M)
+- bg: Bulgarian (9.3G)
+- bn: Bengali (860M)
+- bn_rom: Bengali Romanized (164M)
+- br: Breton (21M)
+- bs: Bosnian (18M)
+- ca: Catalan (2.4G)
+- cs: Czech (4.4G)
+- cy: Welsh (179M)
+- da: Danish (12G)
+- de: German (18G)
+- el: Greek (7.4G)
+- en: English (82G)
+- eo: Esperanto (250M)
+- es: Spanish (14G)
+- et: Estonian (1.7G)
+- eu: Basque (488M)
+- fa: Persian (20G)
+- ff: Fulah (3.1M)
+- fi: Finnish (15G)
+- fr: French (14G)
+- fy: Frisian (38M)
+- ga: Irish (108M)
+- gd: Scottish Gaelic (22M)
+- gl: Galician (708M)
+- gn: Guarani (1.5M)
+- gu: Gujarati (242M)
+- ha: Hausa (61M)
+- he: Hebrew (6.1G)
+- hi: Hindi (2.5G)
+- hi_rom: Hindi Romanized (129M)
+- hr: Croatian (5.7G)
+- ht: Haitian (9.1M)
+- hu: Hungarian (15G)
+- hy: Armenian (776M)
+- id: Indonesian (36G)
+- ig: Igbo (6.6M)
+- is: Icelandic (779M)
+- it: Italian (7.8G)
+- ja: Japanese (15G)
+- jv: Javanese (37M)
+- ka: Georgian (1.1G)
+- kk: Kazakh (889M)
+- km: Khmer (153M)
+- kn: Kannada (360M)
+- ko: Korean (14G)
+- ku: Kurdish (90M)
+- ky: Kyrgyz (173M)
+- la: Latin (609M)
+- lg: Ganda (7.3M)
+- li: Limburgish (2.2M)
+- ln: Lingala (2.3M)
+- lo: Lao (63M)
+- lt: Lithuanian (3.4G)
+- lv: Latvian (2.1G)
+- mg: Malagasy (29M)
+- mk: Macedonian (706M)
+- ml: Malayalam (831M)
+- mn: Mongolian (397M)
+- mr: Marathi (334M)
+- ms: Malay (2.1G)
+- my: Burmese (46M)
+- my_zaw: Burmese (Zawgyi) (178M)
+- ne: Nepali (393M)
+- nl: Dutch (7.9G)
+- no: Norwegian (13G)
+- ns: Northern Sotho (1.8M)
+- om: Oromo (11M)
+- or: Oriya (56M)
+- pa: Punjabi (90M)
+- pl: Polish (12G)
+- ps: Pashto (107M)
+- pt: Portuguese (13G)
+- qu: Quechua (1.5M)
+- rm: Romansh (4.8M)
+- ro: Romanian (16G)
+- ru: Russian (46G)
+- sa: Sanskrit (44M)
+- sc: Sardinian (143K)
+- sd: Sindhi (67M)
+- si: Sinhala (452M)
+- sk: Slovak (6.1G)
+- sl: Slovenian (2.8G)
+- so: Somali (78M)
+- sq: Albanian (1.3G)
+- sr: Serbian (1.5G)
+- ss: Swati (86K)
+- su: Sundanese (15M)
+- sv: Swedish (21G)
+- sw: Swahili (332M)
+- ta: Tamil (1.3G)
+- ta_rom: Tamil Romanized (68M)
+- te: Telugu (536M)
+- te_rom: Telugu Romanized (79M)
+- th: Thai (8.7G)
+- tl: Tagalog (701M)
+- tn: Tswana (8.0M)
+- tr: Turkish (5.4G)
+- ug: Uyghur (46M)
+- uk: Ukrainian (14G)
+- ur: Urdu (884M)
+- ur_rom: Urdu Romanized (141M)
+- uz: Uzbek (155M)
+- vi: Vietnamese (28G)
+- wo: Wolof (3.6M)
+- xh: Xhosa (25M)
+- yi: Yiddish (51M)
+- yo: Yoruba (1.1M)
+- zh-Hans: Chinese (Simplified) (14G)
+- zh-Hant: Chinese (Traditional) (5.3G)
+- zu: Zulu (4.3M)
 
 ## Dataset Structure