Datasets › CODAH
CODAH (COmmonsense Dataset Adversarially-authored by Humans)
The COmmonsense Dataset Adversarially-authored by Humans (CODAH) is an evaluation set for commonsense question-answering in the sentence completion style of SWAG. As opposed to other automatically generated NLI datasets, CODAH is adversarially constructed by humans who can view feedback from a pre-trained model and use this information to design challenging commonsense questions. It contains 2801 questions in total, and uses 5-fold cross validation for evaluation.
Source: CODAH Dataset Image Source: https://www.aclweb.org/anthology/W19-2008.pdf
Benchmarks archive 2025-07-28
All 2 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Question Answering | CODAH | G-DAUG-Combo + RoBERTa-Large Accuracy 84.0 | Generative Data Augmentation for Commonsense Reasoning | yangyiben/G-DAUG-c-Generative-Data-Augmentation-for-Commonsense-Reasoning | 2 | Compare |
| Common Sense Reasoning | CODAH | BERT Large Accuracy 69.6 | CODAH: An Adversarially Authored Question-Answer Dataset... | Websail-NU/AQuA +1 | 1 | Compare |
Papers archive 2025-07-28
2 shown of 2 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 29. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| Generative Data Augmentation for Commonsense Reasoning | 1 | 1 | 24 Apr 2020 | ran 2 of 4 samples (2 unverified; 4 pointer-only for licence) |
| CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense | 2 | 2 | 8 Apr 2019 | not harvested |
Dataset loaders archive 2025-07-28
3 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Unknown
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- CODAH
1 variant name, as the archive lists them.
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