Update README.md

README.md

@@ -29,13 +29,13 @@ dataset_info:
     dtype: string
   splits:
   - name: dev
-    num_bytes: 100170127.0
+    num_bytes: 100170127
     num_examples: 468
   - name: eval
-    num_bytes: 98822395.0
+    num_bytes: 98822395
     num_examples: 416
   download_size: 196166661
-  dataset_size: 198992522.0
+  dataset_size: 198992522
 configs:
 - config_name: default
   data_files:
@@ -43,4 +43,49 @@ configs:
     path: data/dev-*
   - split: eval
     path: data/eval-*
+license: cc-by-4.0
+language:
+- en
+- ar
+- de
+- fa
+- fr
+- ja
+- nl
+- pt
+- ru
+- tr
+- zh
+task_categories:
+- translation
+- automatic-speech-recognition
+size_categories:
+- n<1K
 ---
+# ACL 60/60
+
+## Dataset details
+
+ACL 60/60 evaluation sets for multilingual translation of ACL 2022 technical presentations into 10 target languages.
+
+### Citation
+```
+@inproceedings{salesky-etal-2023-evaluating,
+    title = "Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology",
+    author = "Salesky, Elizabeth  and
+      Darwish, Kareem  and
+      Al-Badrashiny, Mohamed  and
+      Diab, Mona  and
+      Niehues, Jan",
+    booktitle = "Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)",
+    month = jul,
+    year = "2023",
+    address = "Toronto, Canada",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2023.iwslt-1.2/",
+    doi = "10.18653/v1/2023.iwslt-1.2",
+    pages = "62--78",
+    abstract = "We present the ACL 60/60 evaluation sets for multilingual translation of ACL 2022 technical presentations into 10 target languages. This dataset enables further research into multilingual speech translation under realistic recording conditions with unsegmented audio and domain-specific terminology, applying NLP tools to text and speech in the technical domain, and evaluating and improving model robustness to diverse speaker demographics."
+}
+
+```