Add base info to card

README.md

@@ -2,26 +2,26 @@
 annotations_creators: []
 language_creators: []
 languages:
-- ar-SA
-- bg-BG
-- de-DE
-- el-GR
-- en-US
-- es-ES
-- fr-FR
-- hi-IN
-- it-IT
-- ja-JP
-- nl-NL
-- pl-PL
-- pt-PT
-- ru-RU
-- sw-TZ
-- th-TH
-- tr-TR
-- ur-IN
-- vi-VN
-- zh-CN
+- ar
+- bg
+- de
+- el
+- en
+- es
+- fr
+- hi
+- it
+- ja
+- nl
+- pl
+- pt
+- ru
+- sw
+- th
+- tr
+- ur
+- vi
+- zh
 licenses: []
 multilinguality:
 - multilingual
@@ -38,7 +38,7 @@ task_ids:
 - multi-class-classification
 ---
 
-# Dataset Card for [Dataset Name]
+# Dataset Card for Language Identification dataset
 
 ## Table of Contents
 - [Table of Contents](#table-of-contents)
@@ -75,15 +75,20 @@ task_ids:
 
 ### Dataset Summary
 
-[More Information Needed]
+The Language Identification dataset is a collection of 90k samples consisting of text passages and corresponding language label. 
+This dataset was created by collecting data from 3 sources: [Multilingual Amazon Reviews Corpus](https://huggingface.co/datasets/amazon_reviews_multi), [XNLI](https://huggingface.co/datasets/xnli), and [STSb Multi MT](https://huggingface.co/datasets/stsb_multi_mt).
+
 
 ### Supported Tasks and Leaderboards
 
-[More Information Needed]
+The dataset can be used to train a model for language identification, which is a **multi-class text classification** task.
+The model [papluca/xlm-roberta-base-language-detection](https://huggingface.co/papluca/xlm-roberta-base-language-detection), which is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base), was trained on this dataset and currently achieves 99.6% accuracy on the test set.
 
 ### Languages
 
-[More Information Needed]
+The Language Identification dataset contains text in 20 languages, which are:
+
+`arabic (ar), bulgarian (bg), german (de), modern greek (el), english (en), spanish (es), french (fr), hindi (hi), italian (it), japanese (ja), dutch (nl), polish (pl), portuguese (pt), russian (ru), swahili (sw), thai (th), turkish (tr), urdu (ur), vietnamese (vi), and chinese (zh)`
 
 ## Dataset Structure