metadata
language: en
license: unknown
widget:
- text: <ARG1>She fell</ARG1> because <ARG0>he pushed her</ARG0> .
example_title: Causal Example 1
- text: <ARG0>He pushed her</ARG0> , <ARG1>causing her to fall</ARG1>.
example_title: Causal Example 2
- text: <ARG0>She fell</ARG0> because <ARG1>he pushed her</ARG1> .
example_title: Non-causal Example 1
- text: <ARG1>He is Billy</ARG1> and <ARG0>he pushed her</ARG0>.
example_title: Non-causal Example 2
Binary causal sentence classification with argument prompts:
- LABEL_0 = Non-causal
- LABEL_1 = Causal (ARG0 causes ARG1)
Trained on multiple datasets. For Causal sequences, try swapping the arguments to observe the prediction results.