Financial News dataset for text mining

please cite this dataset by :

Nicolas Turenne, Ziwei Chen, Guitao Fan, Jianlong Li, Yiwen Li, Siyuan Wang, Jiaqi Zhou  (2021) Mining an English-Chinese parallel Corpus of Financial News,  BNU HKBU UIC, technical report

The dataset comes from Financial Times news website (https://www.ft.com/)

news are written in both languages Chinese and English.

FTIE.zip contains all documents in a file individually

FT-en-zh.rar contains all documents in one file

Below is a sample document in the dataset defined by these fields and syntax : 

id;time;english_title;chinese_title;integer;english_body;chinese_body

1021892;2008-09-10T00:00:00Z;FLAW IN TWIN TOWERS REVEALED;科学家发现纽约双子塔倒塌的根本原因;1;Scientists have discovered the fundamental reason the Twin Towers collapsed on September 11 2001. The steel used in the buildings softened fatally at 500?C – far below its melting point – as a result of a magnetic change in the metal. @ The finding, announced at the BA Festival of Science in Liverpool yesterday, should lead to a new generation of steels capable of retaining strength at much higher temperatures.;科学家发现了纽约世贸双子大厦(Twin Towers)在2001年9月11日倒塌的根本原因。由于磁性变化,大厦使用的钢在500摄氏度——远远低于其熔点——时变软,从而产生致命后果。 @ 这一发现在昨日利物浦举行的BA科学节(BA Festival of Science)上公布。这应会推动能够在更高温度下保持强度的新一代钢铁的问世。
 

The dataset contains 60,473 bilingual  documents.

Time range is from 2007 and 2020.   

This dataset has been used for parallel bilingual news mining in Finance domain.