Update README.md

README.md

@@ -98,13 +98,13 @@ Each instance of the dataset has the following information:
 
 
 - **Curated by:** Iñigo Alonso, Gorka Azcune, Ander Salaberria, Jeremy Barnes, and Oier Lopez de Lacalle.
-- **Funded by:** TBD
+- **Funded by:** This work is partially supported by the Ministry of Science and Innovation of the Spanish Government (AWARE project TED2021-131617B-I00, DeepKnowledge project PID2021-127777OB-C21), project funded by MCIN/AEI/10.13039/501100011033 and by FEDER, the Basque Government (IXA excellence research group IT1570-22), the European Union under Horizon Europe (Project LUMINOUS, grant number 101135724), and the UK Engineering and Physical Sciences Research Council (grant EP/W002876/1).
 - **Shared by:** HiTZ Center - Ixa, University of the Basque Country UPV/EHU.
 - **License:** Apache License 2.0.
 
 ### Dataset Sources
 
-- **Repository (Project & Code):** TBD
+- **Repository (Project & Code):** [https://github.com/hitz-zentroa/MATE](https://github.com/hitz-zentroa/MATE)
 - **[Paper](https://arxiv.org/abs/2503.03854):** Alonso, I., Salaberria, A., Azkune, G., Barnes, J., & de Lacalle, O. L. (2025). Vision-Language Models Struggle to Align Entities across Modalities. arXiv preprint arXiv:2503.03854.  
 - **[CLEVR paper](https://openaccess.thecvf.com/content_cvpr_2017/html/Johnson_CLEVR_A_Diagnostic_CVPR_2017_paper.html):** Johnson, J., Hariharan, B., Van Der Maaten, L., Fei-Fei, L., Lawrence Zitnick, C., & Girshick, R. (2017). Clevr: A diagnostic dataset for compositional language and elementary visual reasoning. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 2901-2910). 
 
@@ -124,4 +124,4 @@ Each instance of the dataset has the following information:
 
 ## More Information
 
-For more details on the methodology, dataset creation, and experimental results, please refer to the full paper: "Vision-Language Models Struggle to Align Entities across Modalities" (`https://arxiv.org/abs/2503.03854`) and the project repository: `TBD`.
+For more details on the methodology, dataset creation, and experimental results, please refer to the full paper: "Vision-Language Models Struggle to Align Entities across Modalities" (`https://arxiv.org/abs/2503.03854`) and the project [repository](https://github.com/hitz-zentroa/MATE).