Spaces:
Running
Running
File size: 2,115 Bytes
58e78d3 13ba238 feaef97 13ba238 783b0b7 13ba238 250af9b feaef97 250af9b 13ba238 feaef97 13ba238 b2b7a66 13ba238 b2b7a66 13ba238 aad2007 feaef97 aad2007 b2b7a66 13ba238 783b0b7 ce91faa feaef97 5c300c5 87f5105 feaef97 87f5105 feaef97 13ba238 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
import streamlit as st
import pandas as pd
def load_data():
return pd.read_csv("https://docs.google.com/spreadsheets/d/1Ui9gZoSKxSIW0B7fG8ryuN0nhkVhAckFxl2hWf6CaJQ/edit?usp=sharing")
def case_insensitive_search(data, query, column):
if query:
return data[data[column].str.lower().str.contains(query.lower())]
return data
def display_table(data, rows_per_page=10):
container = st.container()
with container:
height = min(40 + rows_per_page * 38, 800)
st.dataframe(data, height=height)
def main():
st.title("Multihop-RAG Benchmark 💡")
data = load_data()
st.sidebar.header("Search Options")
chat_model_query = st.sidebar.text_input("Chat Model")
embedding_model_query = st.sidebar.text_input("Embedding Model")
chunk_query = st.sidebar.text_input("Chunk")
frame_query = st.sidebar.text_input("Framework")
if chat_model_query:
data = case_insensitive_search(data, chat_model_query, 'chat_model')
if embedding_model_query:
data = case_insensitive_search(data, embedding_model_query, 'embedding_model')
if chunk_query:
data = case_insensitive_search(data, chunk_query, 'chunk')
if frame_query:
data = case_insensitive_search(data, frame_query, 'framework')
st.write("Displaying results across different frameworks, embedding models, chat models, and chunks.")
st.info("Retrieval Stage: MRR@10 and Hit@10; Response Stage: Accuracy ")
display_table(data)
st.sidebar.header("Citation")
st.sidebar.info(
"Please cite this dataset as:\n"
"Tang, Yixuan, and Yi Yang. MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries. ArXiv, 2024, /abs/2401.15391."
)
st.markdown("---")
st.caption("For citation, please use: 'Tang, Yixuan, and Yi Yang. MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries. ArXiv, 2024, /abs/2401.15391. '")
st.markdown("---")
st.caption("For results self-reporting, please send an email to [email protected]")
if __name__ == "__main__":
main() |