---
language: en
license: gpl-3.0
widget:
- text: "In the beginning, Sonca seemed to have intensified rapidly since its formation , however, soon the storm weakened back to a minimal tropical storm because of dry air entering the LLCC that caused it to elongate and weaken."
  example_title: "Causal Example 1"
- text: "Our findings thus far show that the sanction reduced the number of chips that participants allocated to themselves and that it only increased the number of chips allocated to the yellow pool when there were two options."
  example_title: "Causal Example 2"
- text: "In addition, several vent gas scrubbers had been out of service as well as the steam boiler, intended to clean the pipes."
  example_title: "Non-causal Example 1"
- text: "First, we can assess the correlation between beliefs and contributions, which we expect to differ between types of players and which helps us to check on the player type as elicited in the P-experiment."
  example_title: "Non-causal Example 2"
---
Binary causal sentence classification: 

* LABEL_0 = Non-causal
* LABEL_1 = Causal

See the project repository here:

https://github.com/rasoulnorouzi/cessc/tree/main