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app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from gradio_leaderboard import Leaderboard, SelectColumns, ColumnFilter
 from pathlib import Path
 
-from utils import LLM_BENCHMARKS_ABOUT_TEXT, LLM_BENCHMARKS_SUBMIT_TEXT, custom_css, jsonl_to_dataframe, add_average_column_to_df, apply_markdown_format_for_columns, submit, PART_LOGO, sort_dataframe_by_column
+from utils import LLM_BENCHMARKS_ABOUT_TEXT, LLM_BENCHMARKS_SUBMIT_TEXT, custom_css, jsonl_to_dataframe, add_average_column_to_df, apply_markdown_format_for_columns, submit, sort_dataframe_by_column
 
 
 

utils.py

@@ -116,7 +116,7 @@ table > tbody td:first-child {
 
 LLM_BENCHMARKS_ABOUT_TEXT = f"""## Open Lithuanian LLM Leaderboard (v1.0.1)
 > The Open Lithuanian LLM Evaluation Leaderboard, developed by **Neurotechnology** provides a comprehensive benchmarking system specifically designed for Lithuanian LLMs. This leaderboard, based on the open-source [LM Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness), offers a unique platform for evaluating the performance of large language models (LLMs) on tasks that demand linguistic proficiency and technical skill in Lithuanian.
-> **Note:** This leaderboard is continuously updating its data and models, reflecting the latest developments in Lithuanian LLMs. It is currently in version 1.0.0, serving as the initial benchmark for Lithuanian LLM evaluation, with plans for future enhancements.
+> **Note:** This leaderboard is continuously updating its data and models, reflecting the latest developments in Lithuanian LLMs. It is currently in version 1.0.1, serving as the initial benchmark for Lithuanian LLM evaluation, with plans for future enhancements.
 ## 1. Key Features
 > 1. **Open Evaluation Access**  
 >    The leaderboard allows open participation, meaning that developers and researchers working with open-source models can submit evaluation requests for their models. This accessibility encourages the development and testing of Lithuanian LLMs within the broader AI ecosystem.