Update README.md

README.md

@@ -21,8 +21,8 @@ The model is optimized for evaluating factual consistency in **summarization**.
 
 It is the main model from the paper (see "T5-11B w. ANLI + TrueTeacher full" in Table 1) which is based on a **T5-11B** [(Raffel
 et al., 2020)](https://jmlr.org/papers/volume21/20-074/20-074.pdf) fine-tuned with a mixture of the following datasets:
-- TrueTeacher ([Gekhman et al., 2023](https://arxiv.org/pdf/2305.11171.pdf))
-- ANLI ([Nie et al., 2020](https://aclanthology.org/2020.acl-main.441.pdf))
+- [TrueTeacher](https://huggingface.co/datasets/google/trueteacher) ([Gekhman et al., 2023](https://arxiv.org/pdf/2305.11171.pdf))
+- [ANLI](https://huggingface.co/datasets/anli) ([Nie et al., 2020](https://aclanthology.org/2020.acl-main.441.pdf))
 
 The TrueTeacher dataset contains model-generated summaries of articles from the train split of the **CNN/DailyMail** dataset [(Hermann et al., 2015)](https://proceedings.neurips.cc/paper_files/paper/2015/file/afdec7005cc9f14302cd0474fd0f3c96-Paper.pdf) 
 which are annotated for factual consistency using **FLAN-PaLM 540B** [(Chung et al.,2022)](https://arxiv.org/pdf/2210.11416.pdf).