NExTplusplus/TAT-QA
TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.
PythonMIT
Stargazers
- AlfredLiu6Yangzhou
- Ankur3107JPMorgan Chase
- BlankChengUC San Diego
- Challenging6
- cxjtju
- dengyang17Shenzhen
- fengbinzhuSoc NUS & 6Estates
- GaoxyingM
- huyhoang17HUST
- jfreyberg@datawrapper
- Kumar-Tarun
- leezythuBeijing, China
- lfy79001Institute of Automation, Chinese Academy of Sciences
- lipijiNUAA
- lsc13020528317
- manyuelyw
- MarshtompCS
- neelabh17Everywhere
- nhsjgczryf
- nixonjin
- ohsuz
- pardeep-singh@fairmatic
- patronum08NJU
- phddamugeHIT
- qshi95
- ramild@intercom
- rich-junwang
- Smalltarget108
- SparkJiaoNTU-NLP & I2R, A*STAR, Singapore
- tonydeep
- tstanislawekSnowflake
- vikxoxo
- wasd66666河北
- YunqiuXuUniversity of Technology Sydney
- yyxx123456
- zhxgjIBM Research Australia