Each data instance consists of a paragraph (context), a question, and 4 candidate answers. The goal of each system is to determine the most plausible answer to the question by reading the paragraph.

## Expected Output to Leaderboard
If you intend to submit to the leaderboard [here](https://leaderboard.allenai.org/cosmosqa/submissions/get-started), please follow the data format described on the that page. The prediction file should contain one label per line.

 

Dataset Files

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[1] Jianxing Yu, "Commonsense Reasoning Question Generation and Its Applications", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/vvbh-jm94. Accessed: Jul. 23, 2024.
@data{vvbh-jm94-23,
doi = {10.21227/vvbh-jm94},
url = {http://dx.doi.org/10.21227/vvbh-jm94},
author = {Jianxing Yu },
publisher = {IEEE Dataport},
title = {Commonsense Reasoning Question Generation and Its Applications},
year = {2023} }
TY - DATA
T1 - Commonsense Reasoning Question Generation and Its Applications
AU - Jianxing Yu
PY - 2023
PB - IEEE Dataport
UR - 10.21227/vvbh-jm94
ER -
Jianxing Yu. (2023). Commonsense Reasoning Question Generation and Its Applications. IEEE Dataport. http://dx.doi.org/10.21227/vvbh-jm94
Jianxing Yu, 2023. Commonsense Reasoning Question Generation and Its Applications. Available at: http://dx.doi.org/10.21227/vvbh-jm94.
Jianxing Yu. (2023). "Commonsense Reasoning Question Generation and Its Applications." Web.
1. Jianxing Yu. Commonsense Reasoning Question Generation and Its Applications [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/vvbh-jm94
Jianxing Yu. "Commonsense Reasoning Question Generation and Its Applications." doi: 10.21227/vvbh-jm94