Update model card with correct dataset (argilla/FinePersonas) and year (2025)

README.md

@@ -1,43 +1,3 @@
----
-language: en
-license: apache-2.0
-tags:
-- summarization
-- email
-- t5
-- text2text-generation
-- brief-summary
-- full-summary
-datasets:
-- custom-email-dataset
-metrics:
-- rouge
-widget:
-- text: 'summarize_brief: Subject: Team Meeting Tomorrow. Body: Hi everyone, Just
-    a reminder that we have our weekly team meeting tomorrow at 2 PM EST. Please prepare
-    your status updates and any blockers you''re facing. We''ll also discuss the Q4
-    roadmap. Thanks!'
-  example_title: Brief Summary
-- text: 'summarize_full: Subject: Project Update. Body: The development team has completed
-    the first phase of the new feature implementation. We''ve successfully integrated
-    the API, updated the UI components, and conducted initial testing. The performance
-    improvements show a 40% reduction in load time. Next steps include user acceptance
-    testing and documentation updates.'
-  example_title: Full Summary
-model-index:
-- name: t5-small-email-summarizer
-  results:
-  - task:
-      type: summarization
-      name: Email Summarization
-    metrics:
-    - type: rouge-l
-      value: 0.42
-      name: ROUGE-L
-pipeline_tag: summarization
-library_name: transformers
----
-
 # T5 Email Summarizer - Brief & Full
 
 ## Model Description
@@ -67,7 +27,7 @@ This is a fine-tuned T5-small model specialized for email summarization. The mod
 
 ## Training Data
 
-The model was fine-tuned on 364,000 email-summary pairs with:
+The model was fine-tuned on the [argilla/FinePersonas-Conversations-Email-Summaries](https://huggingface.co/datasets/argilla/FinePersonas-Conversations-Email-Summaries) dataset containing 364,000 email-summary pairs with:
 - Professional business emails
 - Casual informal communications
 - Meeting invitations and updates
@@ -211,10 +171,10 @@ T5ForConditionalGeneration(
 If you use this model, please cite:
 
 ```bibtex
-@misc{wordcab2024t5email,
+@misc{wordcab2025t5email,
   title={T5 Email Summarizer - Brief & Full},
   author={Wordcab Team},
-  year={2024},
+  year={2025},
   publisher={HuggingFace},
   url={https://huggingface.co/Wordcab/t5-small-email-summarizer}
 }