Update README.md

README.md

@@ -1,6 +1,41 @@
 ---
 datasets:
 - Hello-SimpleAI/HC3
-metrics:
-- accuracy
----
+language:
+- en
+pipeline_tag: text-classification
+tags:
+- chatgpt
+---
+
+# Model Card for `devloverumar/chatgpt-content-detector`
+
+This model is trained on **the mix of full-text and splitted sentences** of `answer`s from [Hello-SimpleAI/HC3](https://huggingface.co/datasets/Hello-SimpleAI/HC3).
+
+More details refer to [arxiv: 2301.07597](https://arxiv.org/abs/2301.07597) and Gtihub project [Hello-SimpleAI/chatgpt-comparison-detection](https://github.com/Hello-SimpleAI/chatgpt-comparison-detection).
+
+
+The base checkpoint is [roberta-base](https://huggingface.co/roberta-base).
+We train it with all [Hello-SimpleAI/HC3](https://huggingface.co/datasets/Hello-SimpleAI/HC3) data (without held-out) for 1 epoch.
+
+(1-epoch is consistent with the experiments in [our paper](https://arxiv.org/abs/2301.07597).)
+
+## Citation
+
+Checkout this papaer [arxiv: 2301.07597](https://arxiv.org/abs/2301.07597)
+
+```
+@article{guo-etal-2023-hc3,
+    title = "How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection",
+    author = "Guo, Biyang  and
+      Zhang, Xin  and
+      Wang, Ziyuan  and
+      Jiang, Minqi  and
+      Nie, Jinran  and
+      Ding, Yuxuan  and
+      Yue, Jianwei  and
+      Wu, Yupeng",
+    journal={arXiv preprint arxiv:2301.07597}
+    year = "2023",
+}
+```