Update README.md

README.md

@@ -1,3 +1,44 @@
----
-license: cc-by-4.0
----
+---
+license: cc-by-4.0
+task_categories:
+- text-retrieval
+language:
+- en
+tags:
+- reviewer-assignment
+- scientific-papers
+- authorship
+- information-retrieval
+pretty_name: exHarmony
+size_categories:
+- 1M<n<10M
+---
+
+
+# exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem
+
+The **exHarmony** dataset is designed for benchmarking the **Reviewer Assignment Problem (RAP)**, formulated as a **text retrieval** task. Given a paper (query), the goal is to retrieve relevant authors (documents) who are most suitable as reviewers.
+
+## Dataset Summary
+
+* **Collection split**: A large set of scientific papers used for indexing.
+* **Test split**: Papers held out for evaluation.
+* **Authors' works mapping**: Links each author to their published works.
+* **Authors' information**: Includes metadata such as citation counts, institutional affiliation, and years of experience.
+
+## Citation
+
+If you use this resource, please cite our paper:
+
+```
+@inproceedings{ebrahimi2025exharmony,
+  author = {Ebrahimi, Sajad and Salamat, Sara and Arabzadeh, Negar and Bashari, Mahdi and Bagheri, Ebrahim},
+  title = {exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem},
+  year = {2025},
+  isbn = {978-3-031-88713-0},
+  publisher = {Springer-Verlag},
+  doi = {10.1007/978-3-031-88714-7_1},
+  booktitle = {Advances in Information Retrieval: 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part III},
+  pages = {1–16},
+}
+```