Updated README.md

README.md

@@ -22,11 +22,11 @@ languages:
 - ko
 - ky
 - mr
-- np
+- ne
 - om
 - ps
 - fa
-- pidgin
+- pcm
 - pt
 - pa
 - ru
@@ -47,15 +47,20 @@ languages:
 - vi
 - cy
 - yo
-
+size_categories:
+- 1M<n<10M
 licenses:
 - cc-by-nc-sa-4.0
 multilinguality:
 - multilingual
-size_categories:
 source_datasets:
 - original
 paperswithcode_id: xl-sum
+annotations_creators:
+- found
+language_creators:
+- found
+pretty_name: XL-Sum
 ---
 
 # Dataset Card for "XL-Sum"
@@ -67,7 +72,6 @@ paperswithcode_id: xl-sum
     - [Dataset Summary](#dataset-summary)
     - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
     - [Languages](#languages)
-    - [Usage](#usage)
   - [Dataset Structure](#dataset-structure)
     - [Data Instances](#data-instances)
     - [Data Fields](#data-fields)
@@ -108,15 +112,52 @@ We present XLSum, a comprehensive and diverse dataset comprising 1.35 million pr
 
 ### Languages
 
-`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`
+-  `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`
 
-`**` West African Pidgin English
-
-### Usage
-```python
-from datasets import load_dataset
-dataset = load_dataset("csebuetnlp/xlsum", <lang>)
-```
 ## Dataset Structure
 
 ### Data Instances
@@ -133,8 +174,12 @@ One example from the `English` dataset is given below in JSON format.
   ```
 
 ### Data Fields
+-  'id': A string representing the article ID.
+-  'url': A string representing the article URL.
+-  'title': A string containing the article title.
+-  'summary': A string containing the article summary.
+-  'text' : A string containing the article text. 
 
-See [Data Instances](#data-instances). The fields are self-explanatory. 
 
 ### Data Splits