Update README.md

README.md

@@ -7,7 +7,7 @@ Half-life regression (HLR) is a model for spaced repetition practice, with parti
 This repository contains a public release of the data and code used for several experiments in the following paper (which introduces HLR):
 
 > B. Settles and B. Meeder. 2016. [A Trainable Spaced Repetition Model for Language Learning](settles.acl16.pdf).
-> In _Proceedings of the Association for Computational Linguistics (ACL)_, to appear.
+> In _Proceedings of the Association for Computational Linguistics (ACL)_, pages 1848-1858.
 
 When using this data set and/or software, please cite this publication. A BibTeX record is:
 
@@ -19,6 +19,8 @@ When using this data set and/or software, please cite this publication. A BibTeX
     Publisher = {ACL},
     Title = {A Trainable Spaced Repetition Model for Language Learning},
     Year = {2016}
+    DOI = {10.18653/v1/P16-1174},
+    URL = {http://www.aclweb.org/anthology/P16-1174}
 }
 ```
 
@@ -32,7 +34,7 @@ The file ``evaluation.r`` implements an R function, ``sr_evaluate()``, which tak
 
 ## Data Set and Format
 
-The data set is available here: [settles.acl16.learning_traces.13m.csv.gz](https://s3.amazonaws.com/duolingo-papers/publications/settles.acl16.learning_traces.13m.csv.gz) (361 MB). This is a gzipped CSV file containing the 13 million Duolingo student learning traces used in our experiments.
+The data set is available on [Dataverse](https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/N8XJME) (361 MB). This is a gzipped CSV file containing the 13 million Duolingo student learning traces used in our experiments.
 
 The columns are as follows: