Update README.md

README.md

@@ -120,9 +120,9 @@ We evaluated the models on zero-shot and few-shot settings on generative, multip
 
 * **Belebele** ([Bandarkar et al.](https://arxiv.org/abs/2308.16884)): Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. We evaluated the model in a 5-shot fashion.
     * Data card: [https://huggingface.co/datasets/facebook/belebele](https://huggingface.co/datasets/facebook/belebele)
-* **X-StoryCloze**: XStoryCloze consists of the professionally translated version of the English StoryCloze dataset to 10 non-English languages. Story Cloze is a new commonsense reasoning dataset which consists of choosing the correct ending to a four-sentence story. We evaluated the model in a 0-shot fashion.
-    * data card: [https://huggingface.co/datasets/juletxara/xstory_cloze](https://huggingface.co/datasets/juletxara/xstory_cloze)
-* **BasqueGLUE**: [https://huggingface.co/datasets/orai-nlp/basqueGLUE](https://huggingface.co/datasets/orai-nlp/basqueGLUE). BasqueGLUE is a NLU benchmark for Basque. We evaluated the model in a 5-shot fashion on the following tasks:
+* **X-StoryCloze** ([Lin et al.](https://aclanthology.org/2022.emnlp-main.616.pdf)): XStoryCloze consists of the professionally translated version of the English Story Cloze dataset to 10 non-English languages. Story Cloze is a new commonsense reasoning dataset which consists in choosing the correct ending to a four-sentence story. We evaluated the model in a 0-shot fashion.
+    * Data card: [https://huggingface.co/datasets/juletxara/xstory_cloze](https://huggingface.co/datasets/juletxara/xstory_cloze)
+* **BasqueGLUE** ([Urbizu et al.](https://aclanthology.org/2022.lrec-1.172.pdf)): BasqueGLUE is a NLU benchmark for Basque. Data card: [https://huggingface.co/datasets/orai-nlp/basqueGLUE](https://huggingface.co/datasets/orai-nlp/basqueGLUE). We evaluated the model in a 5-shot fashion on the following tasks:
     * **BEC2016eu**: Sentiment analysis on tweets about the 2016 Basque elections campaign.
     * **VaxxStance**: Stance detection on tweets around the anti-vaccine movement.
     * **BTHCv2**: Topic classification of news extracts with 12 categories.
@@ -130,7 +130,6 @@ We evaluated the models on zero-shot and few-shot settings on generative, multip
     * **QNLIeu**: Q&A NLI built from the Basque Wikipedia.
     * **WiCeu**: Basque Word-in-Context task.
 
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 ### **Metrics**