Update README.md

README.md

@@ -35,15 +35,15 @@ Each passage in the original version of a book chapter is aligned with its corre
 | Chapters | Each passage is a single chapter | 808 | 10 | 50
 | Sentences  | Each passage is a sentence delimited by the NLTK sentence tokenizer | 122,219 | 1,143 | 10,431 |
 | Paragraphs | Each passage is a paragraph delimited by a line break | 37,227 | 313 | 3,125 |
-| Chunks | Each passage consists of up to X number of sentences, which may span more than one paragraph. X=10 is provided here; to derive chunks with other lengths X, see GitHub repo) | 14,857 | 141 | 1,264
+| Chunks | Each passage consists of up to X number of sentences, which may span more than one paragraph. X=10 is provided here; to derive chunks with other lengths X, see GitHub link above | 14,857 | 141 | 1,264
 
 #### Example Usage
 
 To load aligned sentences:
-``
+```
 from datasets import load_dataset
 data = load_dataset("ablit", "sentences")
-``
+```
 
 ### Data Fields
 
@@ -100,12 +100,8 @@ The curators are the authors of the paper.
 
 ### Licensing Information
 
-[More Information Needed]
+cc-by-sa-4.0
 
 ### Citation Information
 
 Roemmele, Melissa, Kyle Shaffer, Katrina Olsen, Yiyi Wang, and Steve DeNeefe. "AbLit: A Resource for Analyzing and Generating Abridged Versions of English Literature." Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2023).
-
-### Contributions
-
-[More Information Needed]