Dataset Open Access
SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals
Xiaoyu Yang;
Stephen Obadinma;
Huasha Zhao;
Qiong Zhang;
Stan Matwin;
Xiaodan Zhu
SemEval-2020 Task 5
Subtask-1: Recognizing Counterfactual Statements (RCS) -- Determine whether a given sentence is counterfactual or not.
Subtask-2: Detecting Antecedent and Consequent (DAC) -- Extract the antecedent and consequent part in a given counterfactual sentence.
The released dataset consists of train/test data of both subtask-1 and subtask-2. In our competition, participants could only use the corresponding dataset in each subtask.
Task 5 Codalab Website: https://competitions.codalab.org/competitions/21691
Files
(2.2 MB)
| Name | Size | |
|---|---|---|
|
SemEval-2020-Task5-Dataset.zip
md5:302057d88b5c72ba1c3dd2aa4f54f958 |
2.2 MB | Download |
482
171
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 482 | 437 |
| Downloads | 171 | 167 |
| Data volume | 374.4 MB | 365.7 MB |
| Unique views | 413 | 380 |
| Unique downloads | 146 | 142 |
Indexed in
- Publication date:
- July 7, 2020
- DOI:
-
- Keyword(s):
- SemEval-2020 NLP semantics corpus English Task 5 counterfactual Counterfactual Recognition
- Meeting:
- International Workshop on Semantic Evaluation (SemEval), Barcelona, Spain
- License (for files):
- Creative Commons Attribution 4.0 International