陈俊杰
commited on
Commit
•
7f6ca6e
1
Parent(s):
550da67
build
Browse files
.DS_Store
ADDED
Binary file (6.15 kB). View file
|
|
README.md
CHANGED
@@ -1,10 +1,10 @@
|
|
1 |
---
|
2 |
title: AEOLLM
|
3 |
-
emoji:
|
4 |
-
colorFrom:
|
5 |
colorTo: green
|
6 |
sdk: streamlit
|
7 |
-
sdk_version: 1.
|
8 |
app_file: app.py
|
9 |
pinned: false
|
10 |
---
|
|
|
1 |
---
|
2 |
title: AEOLLM
|
3 |
+
emoji: 😻
|
4 |
+
colorFrom: green
|
5 |
colorTo: green
|
6 |
sdk: streamlit
|
7 |
+
sdk_version: 1.34.0
|
8 |
app_file: app.py
|
9 |
pinned: false
|
10 |
---
|
app.py
ADDED
@@ -0,0 +1,91 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import streamlit as st
|
2 |
+
import pandas as pd
|
3 |
+
|
4 |
+
# CSS样式
|
5 |
+
st.markdown("""
|
6 |
+
<style>
|
7 |
+
h1 {
|
8 |
+
font-size: 2.5em; /* 标题字体大小 */
|
9 |
+
}
|
10 |
+
.stDataFrame {
|
11 |
+
font-family: Helvetica;
|
12 |
+
}
|
13 |
+
.dataframe th, .dataframe td {
|
14 |
+
width: auto;
|
15 |
+
min-width: 500px;
|
16 |
+
}
|
17 |
+
</style>
|
18 |
+
""", unsafe_allow_html=True)
|
19 |
+
|
20 |
+
# 标题
|
21 |
+
st.title('🏆AEOLLM Leaderboard')
|
22 |
+
|
23 |
+
# 描述
|
24 |
+
st.markdown("""
|
25 |
+
This leaderboard is used to show the performance of the **automatic evaluation methods of LLMs** submitted by the **AEOLLM team** on four tasks:
|
26 |
+
- Summary Generation (SG)
|
27 |
+
- Non-Factoid QA (NFQA)
|
28 |
+
- Dialogue Generation (DG)
|
29 |
+
- Text Expansion (TE).
|
30 |
+
|
31 |
+
Details of AEOLLLM can be found at the link: [https://cjj826.github.io/AEOLLM/](https://cjj826.github.io/AEOLLM/)
|
32 |
+
""", unsafe_allow_html=True)
|
33 |
+
# 创建示例数据
|
34 |
+
SG = {
|
35 |
+
"methods": ["Model A", "Model B", "Model C"],
|
36 |
+
"team": ["U1", "U2", "U3"],
|
37 |
+
"acc": [0.75, 0.64, 0.83],
|
38 |
+
"tau": [0.05, 0.28, 0.16],
|
39 |
+
"s": [0.12, 0.27, 0.18],
|
40 |
+
}
|
41 |
+
df1 = pd.DataFrame(SG)
|
42 |
+
|
43 |
+
NFQA = {
|
44 |
+
"methods": ["Model A", "Model B", "Model C"],
|
45 |
+
"team": ["U1", "U2", "U3"],
|
46 |
+
"acc": [0.75, 0.64, 0.83],
|
47 |
+
"tau": [0.05, 0.28, 0.16],
|
48 |
+
"s": [0.12, 0.27, 0.18]
|
49 |
+
}
|
50 |
+
df2 = pd.DataFrame(NFQA)
|
51 |
+
|
52 |
+
DG = {
|
53 |
+
"methods": ["Model A", "Model B", "Model C"],
|
54 |
+
"team": ["U1", "U2", "U3"],
|
55 |
+
"acc": [0.75, 0.64, 0.83],
|
56 |
+
"tau": [0.05, 0.28, 0.16],
|
57 |
+
"s": [0.12, 0.27, 0.18]
|
58 |
+
}
|
59 |
+
df3 = pd.DataFrame(DG)
|
60 |
+
|
61 |
+
TE = {
|
62 |
+
"methods": ["Model A", "Model B", "Model C"],
|
63 |
+
"team": ["U1", "U2", "U3"],
|
64 |
+
"acc": [0.75, 0.64, 0.83],
|
65 |
+
"tau": [0.05, 0.28, 0.16],
|
66 |
+
"s": [0.12, 0.27, 0.18]
|
67 |
+
}
|
68 |
+
df4 = pd.DataFrame(TE)
|
69 |
+
|
70 |
+
# 创建标签页
|
71 |
+
tab1, tab2, tab3, tab4 = st.tabs(["SG", "NFQA", "DG", "TE"])
|
72 |
+
|
73 |
+
# 在标签页 1 中添加内容
|
74 |
+
with tab1:
|
75 |
+
st.header("Summary Generation")
|
76 |
+
st.dataframe(df1, use_container_width=True)
|
77 |
+
|
78 |
+
# 在标签页 2 中添加内容
|
79 |
+
with tab2:
|
80 |
+
st.header("Non-Factoid QA")
|
81 |
+
st.dataframe(df2, use_container_width=True)
|
82 |
+
|
83 |
+
# 在标签页 3 中添加内容
|
84 |
+
with tab3:
|
85 |
+
st.header("Dialogue Generation")
|
86 |
+
st.dataframe(df3, use_container_width=True)
|
87 |
+
|
88 |
+
# 在标签页 4 中添加内容
|
89 |
+
with tab4:
|
90 |
+
st.header("Text Expansion")
|
91 |
+
st.dataframe(df4, use_container_width=True, )
|
requirements.txt
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
pandas==2.2.2
|
2 |
+
streamlit==1.34.0
|