Update README.md

README.md

@@ -103,4 +103,19 @@ A sample from the training set is provided below:
 
 To collect human-annotated labels, we used Amazon Mechanical Turk (MTurk) to deploy our annotation task. The layout and interface design for the MTurk task can be found in the file `design-layout-mturk.html`.
 
-In each task, a single image was enlarged to 200 x 200 for clarity and presented alongside the question: `Choose any one "incorrect" label for this image`? Annotators were given four example labels to choose from (e.g., `dog, cat, ship, bird`), and were instructed to select the one that does not correctly describe the image.
+In each task, a single image was enlarged to 200 x 200 for clarity and presented alongside the question: `Choose any one "incorrect" label for this image`? Annotators were given four example labels to choose from (e.g., `dog, cat, ship, bird`), and were instructed to select the one that does not correctly describe the image.
+
+## Citing
+
+If you find this dataset useful, please cite the following:
+
+```
+@article{
+  wang2024climage,
+  title={{CLI}mage: Human-Annotated Datasets for Complementary-Label Learning},
+  author={Hsiu-Hsuan Wang and Mai Tan Ha and Nai-Xuan Ye and Wei-I Lin and Hsuan-Tien Lin},
+  journal={Transactions on Machine Learning Research},
+  issn={2835-8856},
+  year={2025}
+}
+```