Update README.md

README.md

@@ -6,10 +6,53 @@ license: cc-by-sa-4.0
 
 Classification model for
 - input: a sentence + the previous and following sentences
-- output: 19 labels
+- output: 20 labels
   - is emotional
   - mode of expression
   - type of emotion(s) (basic, complex)
   - category of emotion(s)
 
-Will be uploaded pretty soon.
+## Input format
+
+The prompt template is:
+```before:{previous_sentence}</s>current: {target_sentence}</s>after:{next_sentence}</s>```
+
+## Output format
+
+Labels are returned in the following order:
+0. sentence is emotional
+1. mode is behavioral
+2. mode is labeled
+3. mode is displayed
+4. mode is suggested
+5. type is basic
+6. type is complex
+7. category is admiration
+8. category is other
+9. category is anger
+10. category is guilt
+11. category is disgust
+12. category is embarassement
+13. category is pride
+14. category is jealousy
+15. category is fear
+16. category is joy
+17. categoy is fear
+18. category is surprise
+19. category is sadness
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/62bab79c7a8e2d222fb3dc1a/j8LxbBBrTNoK4VEUHtiNv.png)oKids-sentences)[https://huggingface.co/datasets/TextToKids/EmoTextToKids-sentences]
+
+See the (original paper)[https://arxiv.org/pdf/2405.14385] for details about training.
+
+## Citation information
+
+```bibtex
+@inproceedings{etienne2024emotion,
+  title={Emotion Identification for French in Written Texts: Considering Modes of Emotion Expression as a Step Towards Text Complexity Analysis},
+  author={{\'E}tienne, Aline and Battistelli, Delphine and Lecorv{\'e}, Gw{\'e}nol{\'e}},
+  booktitle={Proceedings of the 14th ACL Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA)},
+  year={2024}
+}
+```