Update README.md

README.md

@@ -78,7 +78,7 @@ An example:
 ## Datasets
 ### stsb_multi_mt
 
-**Original**: https://huggingface.co/datasets/stsb_multi_mt
+**Original**: https://huggingface.co/datasets/stsb_multi_mt  
 Note: only the French portion of this multilingual dataset is kept for our use.
 #### Citation
 > @InProceedings{huggingface:dataset:stsb_multi_mt,  
@@ -137,15 +137,14 @@ An example:
 
 ## Datasets
 ### paws-x
-**Original**: https://huggingface.co/datasets/paws-x
+**Original**: https://huggingface.co/datasets/paws-x  
 Note: only the French portion of this multilingual dataset is kept for our use.
 #### Citation
 > @InProceedings{pawsx2019emnlp,
-  title = {{PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification}},
-  author = {Yang, Yinfei and Zhang, Yuan and Tar, Chris and Baldridge, Jason},
-  booktitle = {Proc. of EMNLP},
-  year = {2019}
-}
+  title = {{PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification}},  
+  author = {Yang, Yinfei and Zhang, Yuan and Tar, Chris and Baldridge, Jason},  
+  booktitle = {Proc. of EMNLP},  
+  year = {2019}}
 #### License
 The dataset may be freely used for any purpose, although acknowledgement of Google LLC ("Google") as the data source would be appreciated. The dataset is provided "AS IS" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset.
 
@@ -198,7 +197,7 @@ An example:
 
 ## Datasets
 ### paws-x
-**Original**: https://huggingface.co/datasets/paws-x
+**Original**: https://huggingface.co/datasets/paws-x  
 Note: only the French portion of this multilingual dataset is kept for our use.
 #### Citation
 Identical to the first citation of this dataset earlier in the card.
@@ -251,16 +250,15 @@ An example:
   
 ## Datasets
 ### xnli
-**Original**: https://huggingface.co/datasets/xnli
+**Original**: https://huggingface.co/datasets/xnli  
 Note: only the French portion of this multilingual dataset is kept for our use.
-> @InProceedings{conneau2018xnli,
-  author = {Conneau, Alexis and Rinott, Ruty and Lample, Guillaume and Williams, Adina and Bowman, Samuel R. and Schwenk, Holger and Stoyanov, Veselin},
-  title = {XNLI: Evaluating Cross-lingual Sentence Representations},
-  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},
-  year = {2018},
-  publisher = {Association for Computational Linguistics},
-  location = {Brussels, Belgium},
-}
+> @InProceedings{conneau2018xnli,  
+  author = {Conneau, Alexis and Rinott, Ruty and Lample, Guillaume and Williams, Adina and Bowman, Samuel R. and Schwenk, Holger and Stoyanov, Veselin},  
+  title = {XNLI: Evaluating Cross-lingual Sentence Representations},  
+  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing},  
+  year = {2018},  
+  publisher = {Association for Computational Linguistics},  
+  location = {Brussels, Belgium},}
 #### License
 The majority of the corpus sentences are released under the OANC’s license which allows all content to be freely used, modified, and shared under permissive terms. The data in the Fiction genre from Captain Blood are in the public domain in the United States (but may be licensed differently elsewhere).
 
@@ -274,35 +272,35 @@ The `xnli_fr_prompt_textual_entailment` dataset has the same license as the orig
 
 #### Citation
 ### MoritzLaurer/multilingual-NLI-26lang-2mil7
-**Original**: https://huggingface.co/datasets/MoritzLaurer/multilingual-NLI-26lang-2mil7
+**Original**: https://huggingface.co/datasets/MoritzLaurer/multilingual-NLI-26lang-2mil7  
 Note: only the French portion of this multilingual dataset is kept for our use. These are the `fr_anli`, `fr_fever`, `fr_ling`, `fr_mnli` and `fr_wanli` splits.
 @article{laurer_less_2022,
-    title = {Less {Annotating}, {More} {Classifying} – {Addressing} the {Data} {Scarcity} {Issue} of {Supervised} {Machine} {Learning} with {Deep} {Transfer} {Learning} and {BERT} - {NLI}},
-    url = {https://osf.io/74b8k},
-    language = {en-us},
-    urldate = {2022-07-28},
-    journal = {Preprint},
-    author = {Laurer, Moritz and Atteveldt, Wouter van and Casas, Andreu Salleras and Welbers, Kasper},
-    month = jun,
-    year = {2022},
+    title = {Less {Annotating}, {More} {Classifying} – {Addressing} the {Data} {Scarcity} {Issue} of {Supervised} {Machine} {Learning} with {Deep} {Transfer} {Learning} and {BERT} - {NLI}},  
+    url = {https://osf.io/74b8k},  
+    language = {en-us},  
+    urldate = {2022-07-28},  
+    journal = {Preprint},  
+    author = {Laurer, Moritz and Atteveldt, Wouter van and Casas, Andreu Salleras and Welbers, Kasper},  
+    month = jun,  
+    year = {2022},  
     note = {Publisher: Open Science Framework},
 }
 #### License
-The `fr_anli` and `fr_wanli` splits are licensed under cc-by-nc-4.0.
+The `fr_anli` and `fr_wanli` splits are licensed under cc-by-nc-4.0.  
 The `fr_fever`, `fr_ling` and `fr_mnli` splits are licensed under MIT.
 
 
 **With prompts**: 
-https://huggingface.co/datasets/CATIE-AQ/anli_fr_prompt_textual_entailment<br>
-https://huggingface.co/datasets/CATIE-AQ/fever_fr_prompt_textual_entailment<br>
-https://huggingface.co/datasets/CATIE-AQ/ling_fr_prompt_textual_entailment<br>
-https://huggingface.co/datasets/CATIE-AQ/mnli_fr_prompt_textual_entailment<br>
-https://huggingface.co/datasets/CATIE-AQ/wanli_fr_prompt_textual_entailment<br>
+https://huggingface.co/datasets/CATIE-AQ/anli_fr_prompt_textual_entailment  
+https://huggingface.co/datasets/CATIE-AQ/fever_fr_prompt_textual_entailment  
+https://huggingface.co/datasets/CATIE-AQ/ling_fr_prompt_textual_entailment  
+https://huggingface.co/datasets/CATIE-AQ/mnli_fr_prompt_textual_entailment  
+https://huggingface.co/datasets/CATIE-AQ/wanli_fr_prompt_textual_entailment
 
 #### Citation
 See the DOI at the end of this dataset card.
 #### License
-The `anli_fr_prompt_textual_entailment`,`fever_fr_prompt_textual_entailment`,`ling_fr_prompt_textual_entailment`,`mnli_fr_prompt_textual_entailment`,`wanli_fr_prompt_textual_entailment` datasets have the same license as the original dataset from which they are derived.
+The `anli_fr_prompt_textual_entailment`, `fever_fr_prompt_textual_entailment`, `ling_fr_prompt_textual_entailment`, `mnli_fr_prompt_textual_entailment`, `wanli_fr_prompt_textual_entailment` datasets have the same license as the original dataset from which they are derived.