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README.md

@@ -6,20 +6,26 @@ language:
 - eng
 ---
 
+# id_am2ico
+
 In this work, we present AM2iCo, a wide-coverage and carefully designed cross-lingual and multilingual evaluation set;
+
 it aims to assess the ability of state-of-the-art representation models to reason over cross-lingual 
+
 lexical-level concept alignment in context for 14 language pairs. 
 
-This dataset only contain Indonesian - English language pair.
 
 
+This dataset only contain Indonesian - English language pair.
+
 ## Dataset Usage
 
 Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
 
 ## Citation
 
-```@inproceedings{liu-etal-2021-am2ico,
+```
+@inproceedings{liu-etal-2021-am2ico,
     title = "{AM}2i{C}o: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples",
     author = "Liu, Qianchu  and
       Ponti, Edoardo Maria  and
@@ -44,6 +50,8 @@ CC-BY 4.0
 
 ## Homepage
 
+[https://github.com/cambridgeltl/AM2iCo](https://github.com/cambridgeltl/AM2iCo)
+
 ### NusaCatalogue
 
 For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)