Quick update to README

README.md

@@ -55,13 +55,13 @@ task_ids:
 
 - **Homepage:** raft.elicit.org
 - **Repository:** https://huggingface.co/datasets/ought/raft
-- **Paper:** [forthcoming]
+- **Paper:** forthcoming
 - **Leaderboard:** https://huggingface.co/spaces/ought/raft-leaderboard
-- **Point of Contact:** Neel Alex ([email protected]), Eli Lifland ([email protected]
+- **Point of Contact:** [email protected]
 
 ### Dataset Summary
 
-[More Information Needed]
+The Real-world Annotation for Few-shot Tasks (RAFT) dataset is an aggregation of English-language datasets found in the real world. Associated with each dataset is a binary or multiclass classification task, intended to improve our understanding of how language models perform on tasks that have concrete, real-world value. Only 50 labeled examples are provided in each dataset.
 
 ### Supported Tasks and Leaderboards
 
@@ -137,7 +137,23 @@ task_ids:
 
 ### Licensing Information
 
-[More Information Needed]
+RAFT aggregates many other datasets, each of which is provided under its own license. Generally, those licenses permit research and commercial use.
+
+| Dataset      | License |
+| ----------- | ----------- |
+| Ade Corpus V2 | Test |
+| Banking 77	 | 	|
+| Terms Of Service	 | 	|
+| Tai Safety Research	 | 	|
+| Neurips Impact Statement Risks	 | 	|
+| Overruling	 | 	|
+| Systematic Review Inclusion	 | 	|
+| One Stop English	 | 	|
+| Tweet Eval Hate	 | 	|
+| Twitter Complaints	 | 	|
+| Semiconductor Org Types	 | 	|
+
+
 
 ### Citation Information
 
@@ -145,4 +161,4 @@ task_ids:
 
 ### Contributions
 
-Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
+Thanks to [@neel-alex](https://github.com/neel-alex), [@uvafan](https://github.com/uvafan), and [@lewtun](https://github.com/lewtun) for adding this dataset.