Improve dataset card with task category, project page link, and paper link

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README.md

@@ -1,24 +1,24 @@
 ---
 license: odc-by
 task_categories:
-  - text-generation
-tags:
-  - multilingual
-  - low-resource
-project_page: https://mala-lm.github.io/emma-500
+- text-generation
+language:
+- multilingual
+project_page: https://mala-lm.github.io/emma-500-gen2
 ---
 
 # MaLA Corpus: Massive Language Adaptation Corpus
 
 This version contains train and validation splits.
 
+[Project page](https://mala-lm.github.io/emma-500-gen2)
+
+The model was presented in the paper [Massively Multilingual Adaptation of Large Language Models Using Bilingual Translation Data](https://huggingface.co/papers/2506.00469).
+
 ## Dataset Summary
 
 The **MaLA Corpus** (Massive Language Adaptation) is a comprehensive, multilingual dataset designed to support the continual pre-training of large language models. It covers **939 languages** and consists of over **74 billion tokens**, making it one of the largest datasets of its kind. With a focus on improving the representation of low-resource languages, the MaLA Corpus is a critical resource for advancing multilingual models, particularly those aimed at serving underrepresented languages.
 
-- Project page: https://mala-lm.github.io/emma-500
-- Paper: https://arxiv.org/abs/2409.17892
-  
 ---
 
 ## Key Features
@@ -64,18 +64,7 @@ We will comply with legitimate requests by removing the affected sources from th
 
 ---
 ## Citation
-This dataset is compiled and released in the paper below.
-```
-@article{ji2024emma500enhancingmassivelymultilingual,
-      title={{EMMA}-500: Enhancing Massively Multilingual Adaptation of Large Language Models}, 
-      author={Shaoxiong Ji and Zihao Li and Indraneil Paul and Jaakko Paavola and Peiqin Lin and Pinzhen Chen and Dayyán O'Brien and Hengyu Luo and Hinrich Schütze and Jörg Tiedemann and Barry Haddow},
-      year={2024},
-      journal={arXiv preprint 2409.17892},
-      url={https://arxiv.org/abs/2409.17892}, 
-}
-```
 
-The final version of this dataset 🤗[MaLA-LM/mala-monolingual-split](https://huggingface.co/datasets/MaLA-LM/mala-monolingual-split) is also used for training the models presented in the below paper
 ```
 @article{ji2025emma2,
       title={Massively Multilingual Adaptation of Large Language Models Using Bilingual Translation Data}, 
@@ -84,6 +73,14 @@ The final version of this dataset 🤗[MaLA-LM/mala-monolingual-split](https://h
       journal={arXiv preprint 2506.00469},
       url={https://arxiv.org/abs/2506.00469},
 }
+
+@article{ji2024emma500enhancingmassivelymultilingual,
+      title={{EMMA}-500: Enhancing Massively Multilingual Adaptation of Large Language Models}, 
+      author={Shaoxiong Ji and Zihao Li and Indraneil Paul and Jaakko Paavola and Peiqin Lin and Pinzhen Chen and Dayyán O'Brien and Hengyu Luo and Hinrich Schütze and Jörg Tiedemann and Barry Haddow},
+      year={2024},
+      journal={arXiv preprint 2409.17892},
+      url={https://arxiv.org/abs/2409.17892}, 
+}
 ```
 
 ## Acknowledgements

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