Update README.md

README.md

@@ -44,7 +44,7 @@ The dataset is meant to be used for fine-tuning and benchmarking general purpose
 ### Languages
 
 The dataset contains (mainly long) paragraph of scientific texts from the academic domain in many European language pairs.
-The language coverage and distribution of the dataset is represented in the following tables. For further details, we refer to the paper [**add paper ref as soon as available*]() (to be published).
+The language coverage and distribution of the dataset is represented in the following tables. For further details, we refer to the paper [ACADATA: Parallel Dataset of Academic Data for Machine Translation](https://arxiv.org/abs/2510.12621).
 
 
 ## Dataset Structure
@@ -54,7 +54,7 @@ ACAData is composed of two different subsets: **ACAD-Train** and **ACAD-Bench**.
 **IMPORTANT**: 
 
 **ACAD-Train** is released in raw format as a Parquet file where each row contains a paragraph aligned across multiple languages, with one language per column, with a total number of **739,211** raw instances.
-This corresponds to the dataset before conversion into the instruction format described in [CITE PAPER]. During conversion, each parallel pair is used to generate two instruction instances (one per translation direction), resulting in **1,478,422** training instances.
+This corresponds to the dataset before conversion into the instruction format described in [ACADATA: Parallel Dataset of Academic Data for Machine Translation](https://arxiv.org/abs/2510.12621). During conversion, each parallel pair is used to generate two instruction instances (one per translation direction), resulting in **1,478,422** training instances.
 
 **ACAD-Bench** is also released in raw format as Parquet file, but in this case the entire dataset is contained, where each pair has already been duplicated and swapped to cover both translation directions.
 Total number of instances: **5,944**. ACAD-Bench is ready to be used for model evaluation.
@@ -81,7 +81,7 @@ Both splits have the following structure:
 4        ast         en  Afondamos nesti trabayu con abo...                 Following the short essay Topon...
 ```
 
-On the other hand, even if ACAD-Bench is provided in raw format, the evaluations provided in the Evaluation section of [PUT PAPER HERE] have been carried out using the following structure (Catalan → English example):
+On the other hand, even if ACAD-Bench is provided in raw format, the evaluations provided in the Evaluation section of [ACADATA: Parallel Dataset of Academic Data for Machine Translation](https://arxiv.org/abs/2510.12621) have been carried out using the following structure (Catalan → English example):
 
 ```json
 {
@@ -270,8 +270,19 @@ This work is licensed under an [Attribution 4.0 International](https://creativec
 
 ### Citation Information
 
-[N/A]
+```
+@misc{lacunza2025acadataparalleldatasetacademic,
+      title={ACADATA: Parallel Dataset of Academic Data for Machine Translation}, 
+      author={Iñaki Lacunza and Javier Garcia Gilabert and Francesca De Luca Fornaciari and Javier Aula-Blasco and Aitor Gonzalez-Agirre and Maite Melero and Marta Villegas},
+      year={2025},
+      eprint={2510.12621},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2510.12621}, 
+}
+``` 
 
 ### Contributions
 
-[N/A]
+By releasing ACAD-train, ACAD-bench, and the fine-tuned models under permissive licenses, we offer the community a robust foundation training dataset and evaluation benchmark for advancing the development of machine translation systems in the academic domain.
+Ultimately, with this work, we aim to help bridge communication across the global scientific community, and make research more discoverable and accessible regardless of the language it was originally published in.