IWSLT2017-zh-en；WMT18-zh-en；CoQA

The IWSLT 2017 Multilingual Task addresses text translation, including zero-shot translation, with a single MT system across all directions including English, German, Dutch, Italian and Romanian. As unofficial task, conventional bilingual text translation is offered between English and Arabic, French, Japanese, Chinese, German and Korean.

CoQA is a large-scale dataset for building Conversational Question Answering systems.

DOI Link: 
10.21227/1zc9-y221
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Dataset Files

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[1] Jinwen Chen, "TFTC", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/1zc9-y221. Accessed: Feb. 05, 2025.
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doi = {10.21227/1zc9-y221},
url = {http://dx.doi.org/10.21227/1zc9-y221},
author = {Jinwen Chen },
publisher = {IEEE Dataport},
title = {TFTC},
year = {2024} }
TY - DATA
T1 - TFTC
AU - Jinwen Chen
PY - 2024
PB - IEEE Dataport
UR - 10.21227/1zc9-y221
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Jinwen Chen. (2024). TFTC. IEEE Dataport. http://dx.doi.org/10.21227/1zc9-y221
Jinwen Chen, 2024. TFTC. Available at: http://dx.doi.org/10.21227/1zc9-y221.
Jinwen Chen. (2024). "TFTC." Web.
1. Jinwen Chen. TFTC [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/1zc9-y221
Jinwen Chen. "TFTC." doi: 10.21227/1zc9-y221