update texts

app.py

@@ -500,7 +500,7 @@ with demo:
             with gr.Row():
                 with gr.Column():
                     model_name_textbox = gr.Textbox(label="Model name")
-                    revision_name_textbox = gr.Textbox(label="revision", placeholder="main")
+                    revision_name_textbox = gr.Textbox(label="Revision", placeholder="main")
                     private = gr.Checkbox(False, label="Private", visible=not IS_PUBLIC)
                     model_type = gr.Dropdown(
                         choices=[

src/assets/text_content.py

@@ -4,14 +4,15 @@ TITLE = """<img src="https://upstage-open-ko-llm-leaderboard-logos.s3.ap-northea
 BOTTOM_LOGO = """<img src="https://upstage-open-ko-llm-leaderboard-logos.s3.ap-northeast-2.amazonaws.com/footer_logo_1.png" style="width:40%;display:block;margin-left:auto;margin-right:auto">"""
 
 INTRODUCTION_TEXT = f"""
-🚀 The Open Ko-LLM Leaderboard 🇰🇷 objectively evaluates the performance of Korean large language model.
+🚀 The Open Ko-LLM Leaderboard 🇰🇷 objectively evaluates the performance of Korean Large Language Model (LLM).
 
 When you submit a model on the "Submit here!" page, it is automatically evaluated. The GPU used for evaluation is operated with the support of KT.
-The data used for evaluation consists of datasets to assess expertise, inference ability, hallucination, and common sense. 
+We accept models with less than or equal to 13B parameters now.
+The data used for evaluation consists of datasets to assess reasoning, language understanding, hallucination, and commonsense. 
 The evaluation dataset is exclusively private and only available for evaluation process.
 More detailed information about the benchmark dataset is provided on the “About” page.
 
-This leaderboard is co-hosted by __Upstage__ and __NIA__, and operated by __Upstage__.
+This leaderboard is co-hosted by __[Upstage](https://www.upstage.ai)__, and __[NIA](https://www.nia.or.kr/site/nia_kor/main.do)__ that provides various Korean Data Sets through __[AI-Hub](aihub.or.kr)__, and operated by __[Upstage](https://www.upstage.ai)__.
 """
 
 LLM_BENCHMARKS_TEXT = f"""
@@ -32,18 +33,18 @@ Please provide information about the model through an issue! 🤩
 ## How it works
 
 📈 We have set up a benchmark using datasets translated into Korean, and applied variations by human experts, from the four tasks (HellaSwag, MMLU, Arc, Truthful QA) operated by HuggingFace OpenLLM. We have also added a new dataset prepared from scratch.
-- Ko-HellaSwag (provided by __Upstage__, machine translation)
-- Ko-MMLU (provided by __Upstage__, human translation and variation)
-- Ko-Arc (provided by __Upstage__, human translation and variation)
-- Ko-Truthful QA (provided by __Upstage__, human translation and variation)
-- Ko-CommonGen V2 (provided by __Korea University NLP&AI Lab__, created from scratch)
+- Ko-HellaSwag (provided by __[Upstage](https://www.upstage.ai/)__, machine translation)
+- Ko-MMLU (provided by __[Upstage](https://www.upstage.ai/)__, human translation and variation)
+- Ko-Arc (provided by __[Upstage](https://www.upstage.ai/)__, human translation and variation)
+- Ko-Truthful QA (provided by __[Upstage](https://www.upstage.ai/)__, human translation and variation)
+- Ko-CommonGen V2 (provided by __[Korea University NLP&AI Lab](http://nlp.korea.ac.kr/)__, created from scratch)
 To provide an evaluation befitting the LLM era, we've selected benchmark datasets suitable for assessing these elements: expertise, inference, hallucination, and common sense. The final score is converted to the average score from each evaluation datasets.
 
-GPUs are provided by __KT__ for the evaluations.
+GPUs are provided by __[KT](https://www.kt.com/)__ for the evaluations.
 
 ## Details and Logs
 - Detailed numerical results in the `results` Upstage dataset: https://huggingface.co/datasets/open-ko-llm-leaderboard/results
-- community queries and running status in the `requests` Upstage dataset: https://huggingface.co/datasets/open-ko-llm-leaderboard/requests
+- Community queries and running status in the `requests` Upstage dataset: https://huggingface.co/datasets/open-ko-llm-leaderboard/requests
 
 ## More resources
 If you still have questions, you can check our FAQ [here](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard/discussions/1)!
@@ -85,9 +86,9 @@ CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
 CITATION_BUTTON_TEXT = r"""
 @misc{open-ko-llm-leaderboard,
   author = {Chanjun Park, Hwalsuk Lee, Hyunbyung Park, Sanghoon Kim, Seonghwan Cho, Sunghun Kim, Sukyung Lee},
-  title = {Open Ko LLM Leaderboard},
+  title = {Open Ko-LLM Leaderboard},
   year = {2023},
   publisher = {Upstage, National Information Society Agency},
-  howpublished = "\url{https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard/discussions/1}"
+  howpublished = "\url{https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard}"
 }
 """