SemEval-2020 Task 5: Modelling Causal Reasoning in Language: Detecting Counterfactuals
<p><strong>SemEval-2020 Task 5</strong></p> <p> </p> <p><strong>Subtask-1:</strong> Recognizing Counterfactual Statements (RCS) -- Determine whether a given sentence is counterfactual or not.</p> <p><strong>Subtask-2: </strong>Detecting Antecedent and Consequent (DAC) -- Extract the antecedent and consequent part in a given counterfactual sentence.</p> <p> </p> <p>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.</p> <p> </p> <p><strong>Task 5 Codalab Website:</strong> <a href="https://competitions.codalab.org/competitions/21691">https://competitions.codalab.org/competitions/21691</a></p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0