Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
 license: apache-2.0
 datasets:
-  - pszemraj/scientific_lay_summarisation-plos-norm
+  - pszemraj/scientific_lay_summarisation-elife-norm
 language:
   - en
 widget:
@@ -197,7 +197,8 @@ library_name: transformers
 
 # long-t5-tglobal-base-sci-simplify-elife
 
-This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset.
+This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the `pszemraj/scientific_lay_summarisation-elife-norm` dataset.
+
 It achieves the following results on the evaluation set:
 - Loss: 1.9990
 - Rouge1: 38.5587
@@ -216,7 +217,7 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+The `elife` subset of the :lay summaries dataset. Refer to `pszemraj/scientific_lay_summarisation-elife-norm`.
 
 ## Training procedure