AdithyaSK commited on
Commit
27acff3
·
2 Parent(s): 1d4a3b7 70c72fc

Merge branch 'main' of https://huggingface.co/spaces/Cognitive-Lab/indic_llm_leaderboard

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -51,7 +51,7 @@ def main():
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  title_column, refresh_column = st.columns([.92, 0.08])
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  with title_column:
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  st.title("Indic LLM Leaderboard (α)")
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- st.markdown("The Indic Eval Leaderboard utilizes the [indic_eval](https://github.com/adithya-s-k/indic_eval) evaluation framework , incorporating SOTA translated benchmarks like ARC, Hellaswag, MMLU, among others. Supporting 7 Indic languages, it offers a comprehensive platform for assessing model performance and comparing results within the Indic language modeling landscape.")
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  with refresh_column:
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  if st.button("Refresh", type="primary"):
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  data = get_data()
@@ -141,7 +141,7 @@ def main():
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  with col2:
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  language_options = st.multiselect(
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  'Pick Languages',
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- ['kannada', 'hindi', 'tamil', 'telegu','gujarati','marathi','malayalam',"english"],['kannada', 'hindi', 'tamil', 'telegu','gujarati','marathi','malayalam',"english"])
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  if on:
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  for language in language_options:
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  filtered_df = df[(df['Language'] == language) & (df['Verified'] == is_verified)]
 
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  title_column, refresh_column = st.columns([.92, 0.08])
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  with title_column:
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  st.title("Indic LLM Leaderboard (α)")
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+ st.markdown("The Indic LLM Leaderboard utilizes the [indic_eval](https://github.com/adithya-s-k/indic_eval) evaluation framework , incorporating SOTA translated benchmarks like ARC, Hellaswag, MMLU, among others. Supporting 7 Indic languages, it offers a comprehensive platform for assessing model performance and comparing results within the Indic language modeling landscape.")
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  with refresh_column:
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  if st.button("Refresh", type="primary"):
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  data = get_data()
 
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  with col2:
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  language_options = st.multiselect(
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  'Pick Languages',
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+ ['kannada', 'hindi', 'tamil', 'telugu','gujarati','marathi','malayalam',"english"],['kannada', 'hindi', 'tamil', 'telugu','gujarati','marathi','malayalam',"english"])
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  if on:
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  for language in language_options:
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  filtered_df = df[(df['Language'] == language) & (df['Verified'] == is_verified)]