added info

README.md

@@ -6,14 +6,18 @@ model-index:
 - name: distilgpt2-finetune-acl22
   results: []
 widget:
-- text: "We hope that our work serves not only to inform the NLP "
-  example_title: "We hope that"
+
+- text: "Toward Annotator Group Bias in Crowdsourcing. Introduction"
+  example_title: "Introduction"
 - text: "Over the last few years, there has been a move towards data"
   example_title: "Over the last few years"
 - text: "We introduce a new language representation"
   example_title: "new language representation"
 - text: "Acknowledgements. This research is supported by the National Science Foundation"
   example_title: "Acknowledgements"
+- text: "We hope that our work serves not only to inform the NLP "
+  example_title: "We hope that"
+ 
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -57,3 +61,9 @@ The following hyperparameters were used during training:
 - Datasets 2.4.0
 - Tokenizers 0.12.1
 
+## What can it do?
+
+Write introductions/abstract
+
+- Prompt : Toward Annotator Group Bias in Crowdsourcing. Introduction 
+- Generation : Toward Annotator Group Bias in Crowdsourcing. Introduction Online platforms for crowdsourcing have received increasing scrutiny in recent years as platforms for online data analytics require an additional layer of content that allows users to interact and be informed about their quality.