Update README.md

README.md

@@ -1,22 +1,41 @@
----
-license: cc-by-nc-4.0
-dataset_info:
-  features:
-  - name: text
-    list:
-    - name: content
-      dtype: string
-    - name: role
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 3946452
-    num_examples: 3067
-  download_size: 1687475
-  dataset_size: 3946452
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
----
+---
+license: cc-by-nc-4.0
+dataset_info:
+  features:
+  - name: text
+    list:
+    - name: content
+      dtype: string
+    - name: role
+      dtype: string
+  splits:
+  - name: train
+    num_bytes: 3946452
+    num_examples: 3067
+  download_size: 1687475
+  dataset_size: 3946452
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+---
+
+# HerO at AVeriTeC
+**[Paper](https://arxiv.org/abs/2410.12377) | [Code](https://github.com/ssu-humane/HerO)**
+
+## Summaries
+This is the modified instruction-tuning dataset derived from the [AVeriTeC dataset](https://huggingface.co/chenxwh/AVeriTeC), designed for fine-tuning large language models to predict verdicts and justifications in fact-checking tasks within AVeriTeC.
+
+## License
+This dataset is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License, following the original [AVeriTeC dataset](https://huggingface.co/chenxwh/AVeriTeC) license."
+
+## Citation
+```
+@article{yoon2024hero,
+  title={HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims},
+  author={Yoon, Yejun and Jung, Jaeyoon and Yoon, Seunghyun and Park, Kunwoo},
+  journal={arXiv preprint arXiv:2410.12377},
+  year={2024}
+}
+```