Update README.md

README.md

@@ -39,14 +39,12 @@ We trained the smaller model, INDUS_SMALL, with 38M parameters through knowledge
 - **Strategy**: Masked Language Modeling (MLM)
 
 ## Evaluation
-- BLURB Benchmark
-- Pruned SQuAD2.0 (SQ2) Benchmark (Amazon Rainforest, Oxygen, Geology and NASA ES QAs)
-- NASA SMD Expert QA Benchmark (WIP)
 
+Please refer to the following dataset cards for benchmark evaluation
+- NASA IR Benchmark - https://huggingface.co/datasets/nasa-impact/nasa-smd-IR-benchmark
+- NASA SMD Expert QA Benchmark - https://huggingface.co/datasets/nasa-impact/nasa-smd-qa-benchmark
+- Climate CHange Benchmark - https://huggingface.co/datasets/ibm/Climate-Change-NER
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/61099e5d86580d4580767226/EtCC3U_tMCv3bfLqQdqQm.png)
-
-![Pruned SQ2 Benchmark](https://cdn-uploads.huggingface.co/production/uploads/61099e5d86580d4580767226/ruh6-IyiNlUiK21Ej4lDM.png)
 
 ## Uses
 - Named Entity Recognition (NER)
@@ -56,6 +54,12 @@ We trained the smaller model, INDUS_SMALL, with 38M parameters through knowledge
 
 For NASA SMD related, scientific usecases.
 
+## Note
+
+This Model is released in support of the training and evaluation of the encoder language model ["Indus"](https://huggingface.co/nasa-impact/nasa-smd-ibm-v0.1).
+
+Accompanying paper can be found here: https://arxiv.org/abs/2405.10725
+
 ## Citation
 If you find this work useful, please cite using the following bibtex citation: