Update README.md

README.md

@@ -1,3 +1,46 @@
 ---
 license: cc-by-4.0
+datasets:
+- jihyoung/ConversationChronicles
+language:
+- en
+pipeline_tag: conversational
 ---
+
+# 👫ReBot - Generation Module⏰
+
+ReBot is a novel multi-session dialgoue model which can generate dialogue with chronological dynamics! ReBot consists two modules: (1) chronological summarization module; (2) dialogue generation module.
+
+**This repoistory for dialogue generation module.** You can check summarization module on [this repoistory](https://huggingface.co/jihyoung/rebot-summarization).
+
+🚨 Please be cautious when testing our model with the Hosted Inference API. Our model takes sequences as input, so you should provide sequences as input through the API as well.
+
+## Model description
+
++ Paper: [Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations](https://openreview.net/forum?id=9LPJK81xy1)
++ Dataset : [Conversation Chronicles](https://huggingface.co/datasets/Jihyoung/ConversationChronicles)
++ Generation Module of Model : this repoistory
++ Summarization Module of Model : [chronological summarization module](https://huggingface.co/jihyoung/rebot-summarization)
+
+## Load with Transformers
+
+To load our dataset with Hugging Face Transformers, please use the following code:
+
+```python
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+tokenizer = AutoTokenizer.from_pretrained("jihyoung/rebot-generation")
+model = AutoModelForSeq2SeqLM.from_pretrained("jihyoung/rebot-generation")
+```
+
+## Citation Information
+
+```
+@inproceedings{jang2023conversation,
+    title={Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations},
+    author={Jihyoung Jang, MinSeong Boo, Hyounghun Kim},
+    booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
+    year={2023},
+    url={https://openreview.net/forum?id=9LPJK81xy1}
+}
+```