Update README.md

README.md

@@ -68,7 +68,7 @@ model = AutoModelForSequenceClassification.from_pretrained("ieq/IEQ-BERT")
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-The training data consists of 14,622 filtered texts from Glassdoor job reviews and X posts relating to work environments during the COVID-19 pandemic. Manual labeling was conducted by five labellers using Labelbox to categorize each feedback, ensuring accuracy, with further checks using Cleanlab Studio for consistency. 
+The training data consists of 14,622 filtered texts from Glassdoor job reviews and X posts about work environments during the COVID-19 pandemic. Five labellers manually labeled each feedback item using Labelbox to ensure accuracy, and they further checked for consistency using Cleanlab Studio. 
 
 
 ## Evaluation
@@ -86,7 +86,7 @@ The training data consists of 14,622 filtered texts from Glassdoor job reviews a
 
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
-If you use this model, please cite the below journal article:
+If you use this model, please cite the journal article below:
 
 **APA:** Sadick, A.-M., & Chinazzo, G. (2025). What did the occupant say? Fine-tuning and evaluating a large language model for efficient analysis of multi-domain indoor environmental quality feedback. Building and Environment, 112735. https://doi.org/10.1016/j.buildenv.2025.112735