Update README.md

README.md

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 DistilRoBERTa-base is a transformers model, which is pre-trained on the Friends show to classify emotions from text data. It predicts 6 Ekman emotions and a neutral class. These emotions include anger, disgust, fear, joy, neutral, sadness, and surprise.
 
-The model is a fine-tuned version of [Emotion English DistilRoBERTa-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base/) and [DistilRoBERTa-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base).
+The model is a fine-tuned version of [Emotion English DistilRoBERTa-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base/) and [DistilRoBERTa-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base). This model was initially trained on 
+
+|Name|anger|disgust|fear|joy|neutral|sadness|surprise|
+|---|---|---|---|---|---|---|---|
+|Crowdflower (2016)|Yes|-|-|Yes|Yes|Yes|Yes|
+|Emotion Dataset, Elvis et al. (2018)|Yes|-|Yes|Yes|-|Yes|Yes|
+|GoEmotions, Demszky et al. (2020)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
+|ISEAR, Vikash (2018)|Yes|Yes|Yes|Yes|-|Yes|-|
+|MELD, Poria et al. (2019)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
+|SemEval-2018, EI-reg, Mohammad et al. (2018) |Yes|-|Yes|Yes|-|Yes|-|
+
+It was fine-tuned on:
+|Name|anger|disgust|fear|joy|neutral|sadness|surprise|
+|---|---|---|---|---|---|---|---|
+|Crowdflower (2016)|Yes|-|-|Yes|Yes|Yes|Yes|
 
 # How to Use 
 
@@ -44,4 +58,5 @@ Please reach out to [michelle.li851@duke.edu](mailto:michelle.li851@duke.edu) if
 
 ```
 Jochen Hartmann, "Emotion English DistilRoBERTa-base". https://huggingface.co/j-hartmann/emotion-english-distilroberta-base/, 2022.
+[Ashritha R Murthy and K M Anil Kumar 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1110 012009](https://iopscience.iop.org/article/10.1088/1757-899X/1110/1/012009)
 ```