Update README.md

README.md

@@ -1,34 +1,34 @@
 ---
 annotations_creators: []
 language:
-  - en
+- en
 language_creators:
-  - found
+- found
 license:
-  - mit
+- mit
 multilinguality:
-  - monolingual
+- monolingual
 paperswithcode_id: acronym-identification
-pretty_name: acl-anthology-corpus
+pretty_name: acl-ocl-corpus
 size_categories:
-  - 10K<n<100K
+- 10K<n<100K
 source_datasets:
-  - original
+- original
 tags:
-  - research papers
-  - acl
+- research papers
+- acl
 task_categories:
-  - token-classification
+- token-classification
 task_ids: []
 train-eval-index:
-  - col_mapping:
-      labels: tags
-      tokens: tokens
-    config: default
-    splits:
-      eval_split: test
-    task: token-classification
-    task_id: entity_extraction
+- col_mapping:
+    labels: tags
+    tokens: tokens
+  config: default
+  splits:
+    eval_split: test
+  task: token-classification
+  task_id: entity_extraction
 ---
 
 # Dataset Card for ACL Anthology Corpus
@@ -92,7 +92,7 @@ Dataframe with extracted metadata (table below with details) and full text of th
 
 ### Languages
 
-en, zh and others (TODO: find the languages in ACL)
+en, zh and others
 
 ## Dataset Structure
 
@@ -130,7 +130,7 @@ Each row is a paper from ACL anthology
 
 ## Dataset Creation
 
-The corpus has all the paper in ACL anthology - as of September'22
+The corpus has all the papers in ACL anthology - as of September'22
 
 ### Source Data
 
@@ -141,24 +141,24 @@ The corpus has all the paper in ACL anthology - as of September'22
 
 ### Licensing Information
 
-ACL anthology corpus is released under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). By using this corpus, you are agreeing to its usage terms.
+The ACL OCL corpus is released under the [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). By using this corpus, you are agreeing to its usage terms.
 
 ### Citation Information
 
 If you use this corpus in your research please use the following BibTeX entry:
 
-    @Misc{acl_anthology_corpus,
-        author =       {Shaurya Rohatgi},
-        title =        {ACL Anthology Corpus with Full Text},
-        howpublished = {Github},
+    @Misc{acl-ocl,
+        author =       {Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan},
+        title =        {The ACL OCL Corpus: advancing Open science in Computational Linguistics},
+        howpublished = {arXiv},
         year =         {2022},
-        url =          {https://github.com/shauryr/ACL-anthology-corpus}
+        url =          {https://huggingface.co/datasets/ACL-OCL/ACL-OCL-Corpus}
     }
 
 ### Acknowledgements
 
-We thank Semantic Scholar for providing access to the citation related data in this corpus.
+We thank Semantic Scholar for providing access to the citation-related data in this corpus.
 
 ### Contributions
 
-Thanks to [@shauryr](https://github.com/shauryr), [Yanxia Qin](https://github.com/qolina) and [Benjamin Aw](https://github.com/Benjamin-Aw-93) for adding this dataset.
+Thanks to [@shauryr](https://github.com/shauryr), [Yanxia Qin](https://github.com/qolina) and [Benjamin Aw](https://github.com/Benjamin-Aw-93) for adding this dataset.