Update README.md

README.md

@@ -6,6 +6,17 @@ tags:
 model-index:
 - name: deberta-v3-xsmall-quality
   results: []
+license: mit
+datasets:
+- agentlans/text-quality
+- allenai/c4
+- HuggingFaceFW/fineweb-edu
+- monology/pile-uncopyrighted
+- agentlans/common-crawl-sample
+- agentlans/wikipedia-paragraphs
+language:
+- en
+pipeline_tag: text-classification
 ---
 
 # English Text Quality Classifier
@@ -27,7 +38,7 @@ The **deberta-v3-xsmall-quality** model is designed to evaluate text quality by
 
 ## Training and Evaluation Data
 
-The model was trained on a dataset comprising **100,000 sentences** sourced from five distinct datasets, with **20,000 sentences** drawn from each of the following:
+The model was trained on the [agentlans/text-quality](https://huggingface.co/datasets/agentlans/text-quality) dataset comprising **100,000 sentences** sourced from five distinct datasets, with **20,000 sentences** drawn from each of the following:
 
 1. **allenai/c4**
 2. **HuggingFaceFW/fineweb-edu**
@@ -37,6 +48,8 @@ The model was trained on a dataset comprising **100,000 sentences** sourced from
 
 This diverse dataset enables the model to generalize well across different text types and domains.
 
+90% of the rows were used for training and the remaining 10% for evaluation.
+
 ## How to use
 
 ```python