Update README.md

README.md

@@ -4748,6 +4748,8 @@ Languages covered are: Arabic, Chinese, Finnish, French, German, Hindi, Hungaria
 
  Please see our [ACL paper](https://aclanthology.org/2023.acl-long.210/) for full details.
 
+To use the dataset reader, you need to obtain the data from the Linguistic Data Consortium: https://catalog.ldc.upenn.edu/LDC2024T09.
+ 
 NOTE: This Datasetreader supports a reduced version of the original TACRED JSON format with the following changes:
 - Removed fields: stanford_pos, stanford_ner, stanford_head, stanford_deprel, docid
 The motivation for this is that we want to support additional languages, for which these fields were not required
@@ -4866,7 +4868,7 @@ The dataset was created by members of the
 ### Licensing Information
 To respect the copyright of the underlying TACRED dataset, MultiTACRED is released via the
 Linguistic Data Consortium ([LDC License](https://catalog.ldc.upenn.edu/license/ldc-non-members-agreement.pdf)).
-You can download MultiTACRED from the [LDC MultiTACRED webpage](https://catalog.ldc.upenn.edu/TODO).
+You can download MultiTACRED from the [LDC MultiTACRED webpage](https://catalog.ldc.upenn.edu/LDC2024T09).
 If you are an LDC member, the access will be free; otherwise, an access fee of $25 is needed.
 ### Citation Information
 The original dataset: