annikwag commited on
Commit
2ca8cdd
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1 Parent(s): 86a2fd0

Update app_matching_page.py

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Add Dokumenation and Prototyp Disclaimer

Files changed (1) hide show
  1. app_matching_page.py +8 -4
app_matching_page.py CHANGED
@@ -222,7 +222,7 @@ def show_landing_page():
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  st.subheader("About")
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  st.markdown("""
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- Multiple international organizations have projects in the same field and region. These projects could collaborate or learn from each other to increase their impact if they were aware of one another. The Project Synergy Finder facilitates the search for similar projects across different development organizations and banks in three distinct ways. """)
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  st.markdown("<br><br>", unsafe_allow_html=True) # Add two line breaks
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  st.subheader("Pages")
@@ -242,9 +242,9 @@ def show_landing_page():
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  st.subheader("Data")
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  st.markdown("""
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- **IATI Data**: The data is sourced from the [IATI d-portal](https://d-portal.org/), providing detailed project-level information. IATI (International Aid Transparency Initiative) is a global initiative to improve the transparency of development and humanitarian resources and their results to address poverty and crises.
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- **Data Update**: The data is updated irregularly, with the last retrieval on 10th May 2024.
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  **Project Data**: Includes Project Title, Description, URL, Country, and Sector classification (CRS). The CRS5 and CRS3 classifications organize development aid into categories, with the 5-digit level providing more specific details within the broader 3-digit categories.
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@@ -465,6 +465,8 @@ def show_single_matching_page():
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  - Matching of SDGs (AI-predicted).
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  - Matching of CRS-3 & CRS-5 sector codes.
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  - Components are weighted to give a normalized score.
 
 
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  """)
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  col1, col2, col3 = st.columns([10, 1, 10])
@@ -647,7 +649,9 @@ def show_multi_matching_page():
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  - Text similarity of project description and title (MiniLMM & Cosine Similiarity).
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  - Matching of SDGs (AI-predicted).
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  - Matching of CRS-3 & CRS-5 sector codes.
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- - Components are weighted to give a normalized score.
 
 
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  """)
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  col1, col2, col3 = st.columns([10, 1, 10])
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  with col1:
 
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  st.subheader("About")
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  st.markdown("""
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+ Multiple international organizations have projects in the same field and region. These projects could collaborate or learn from each other to increase their impact if they were aware of one another. The Project Synergy Finder facilitates the search for similar projects across different development organizations and banks in three distinct ways. Note that this app is a prototype, results may be incomplete or inaccurate. """)
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  st.markdown("<br><br>", unsafe_allow_html=True) # Add two line breaks
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  st.subheader("Pages")
 
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  st.subheader("Data")
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  st.markdown("""
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+ **IATI Data**: The data is sourced from the [IATI d-portal](https://d-portal.org/), providing project-level information. The International Aid Transparency Initiative (IATI) aims to enhance transparency and effectiveness in development cooperation by making data publicly accessible.
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+ **Data Update**: The data is updated irregularly, with the last retrieval on 10th May 2024. Currently, data from projects labeled as active during the last data retrieval are included.
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  **Project Data**: Includes Project Title, Description, URL, Country, and Sector classification (CRS). The CRS5 and CRS3 classifications organize development aid into categories, with the 5-digit level providing more specific details within the broader 3-digit categories.
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  - Matching of SDGs (AI-predicted).
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  - Matching of CRS-3 & CRS-5 sector codes.
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  - Components are weighted to give a normalized score.
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+
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+ Note that this app is a prototype, results may be incomplete or inaccurate.
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  """)
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  col1, col2, col3 = st.columns([10, 1, 10])
 
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  - Text similarity of project description and title (MiniLMM & Cosine Similiarity).
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  - Matching of SDGs (AI-predicted).
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  - Matching of CRS-3 & CRS-5 sector codes.
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+ - Components are weighted to give a normalized score.
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+
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+ Note that this app is a prototype, results may be incomplete or inaccurate.
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  """)
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  col1, col2, col3 = st.columns([10, 1, 10])
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  with col1: