Update README.md

README.md

@@ -9,25 +9,22 @@ size_categories:
 - 10M<n<100M
 ---
 
-# **THIS DATASET IS UNDER CONSTRUCTION.**
-
 # Dataset Card for Dataset Name
 
 This dataset contains Japanese-Korean paired text which is from [Helsinki-NLP/Tatoeba-Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/blob/master/data/README-v2023-09-26.md).
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
-
 ## Dataset Details
 
 ### Dataset Description
 
-- **Curated by:** sappho192
+- **Curated by:** [Helsinki-NLP](https://github.com/Helsinki-NLP)
 - **Language(s) (NLP):** Japanese-Korean
 - **License:** CC BY-NC-SA 4.0
 
 ### Dataset Sources
 
-- **Repository:** [Helsinki-NLP](https://github.com/Helsinki-NLP)
+- **Repository:** [Helsinki-NLP/Tatoeba-Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/blob/master/data/README-v2023-09-26.md)
+- **Detail**: Japanese - Korean [jpn-kor](https://object.pouta.csc.fi/Tatoeba-Challenge-v2023-09-26/jpn-kor.tar)
 
 ## Uses
 
@@ -41,7 +38,8 @@ You cannot use this dataset to train the model which is to be used under commerc
 
 <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
 
-[More Information Needed]
+Each dataset has two columns: `sourceString` and `targetString`, which corresponds to Japanese and Korean sentence.  
+Check [example code](https://huggingface.co/datasets/sappho192/Tatoeba-Challenge-jpn-kor/blob/main/example.ipynb) to learn how to load the dataset.  
 
 ## Dataset Creation
 
@@ -49,7 +47,7 @@ You cannot use this dataset to train the model which is to be used under commerc
 
 <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
 
-This dataset may contain following inappropriate and explicit sentences:
+This dataset may contain following inappropriate or explicit sentences:
 - personal
 - sensitive
 - private