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README.md

@@ -1,29 +1,29 @@
----
-language:
-- br
-viewer: false
-license: cc-by-sa-4.0
----
-
-> [!NOTE]
-> Dataset origin: https://github.com/penn-nlp/mmid/blob/master/downloads.md
-
-# Description
-Image/word dataset for breton (100 images by word), the metadata of all images and the webpages they showed up on, and the dictionary containing just the words we have images for in each language, as well as their canonical MMID ID within the language. For more information, see our [documentation page](https://multilingual-images.org/doc.html).
-
-MMID was constructed by building translations for the bilingual dictionaries found [here](https://www.seas.upenn.edu/~nlp/resources/TACL-data-release/dictionaries.tar.gz), which were built as described in the paper [The Language Demographics of Amazon Mechanical Turk](https://cs.brown.edu/people/epavlick/papers/language_demographics_mturk.pdf).
-
-Through the generosity of the Amazon Public Datasets program, each download is available via a public S3 bucket!
-
-## Citation
-```
-@InProceedings{hewitt-et-al:2018:Long,
-  author    = {Hewitt, John  and  Ippolito, Daphne  and  Callahan, Brendan and Kriz, Reno and Wijaya, Derry Tanti and Callison-Burch, Chris},
-  title     = {Learning Translations via Images with a Massively Multilingual Image Dataset},
-  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
-  month     = {July},
-  year      = {2018},
-  address   = {Melbourne, Australia},
-  publisher = {Association for Computational Linguistics}
-}
+---
+language:
+- br
+viewer: false
+license: cc-by-sa-4.0
+---
+
+> [!NOTE]
+> Dataset origin: https://github.com/penn-nlp/mmid/blob/master/downloads.md
+
+# Description
+Image/word dataset for breton (100 images by word), the metadata of all images and the webpages they showed up on, and the dictionary containing just the words we have images for in each language, as well as their canonical MMID ID within the language. For more information, see our [documentation page](https://multilingual-images.org/doc.html).
+
+MMID was constructed by building translations for the bilingual dictionaries found [here](https://www.seas.upenn.edu/~nlp/resources/TACL-data-release/dictionaries.tar.gz), which were built as described in the paper [The Language Demographics of Amazon Mechanical Turk](https://cs.brown.edu/people/epavlick/papers/language_demographics_mturk.pdf).
+
+Through the generosity of the Amazon Public Datasets program, each download is available via a public S3 bucket!
+
+## Citation
+```
+@InProceedings{hewitt-et-al:2018:Long,
+  author    = {Hewitt, John  and  Ippolito, Daphne  and  Callahan, Brendan and Kriz, Reno and Wijaya, Derry Tanti and Callison-Burch, Chris},
+  title     = {Learning Translations via Images with a Massively Multilingual Image Dataset},
+  booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
+  month     = {July},
+  year      = {2018},
+  address   = {Melbourne, Australia},
+  publisher = {Association for Computational Linguistics}
+}
 ```