Commit
β’
3607302
1
Parent(s):
66b4965
fix app
Browse files- app.py +9 -0
- css_html_js.py +111 -0
app.py
CHANGED
@@ -6,6 +6,15 @@ TITLE = """<h1 align="center" id="space-title">π²πΎ Malaysian Embedding Lead
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INTRODUCTION_TEXT = """
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π The π²πΎ Malaysian Embedding Leaderboard aims to track, rank and evaluate Top-k retrieval using embedding models. All notebooks at https://github.com/mesolitica/embedding-benchmarks, feel free to submit your own score at https://huggingface.co/spaces/mesolitica/Malaysian-Embedding-Leaderboard/discussions with link to the notebook.
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"""
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demo = gr.Blocks(css=custom_css)
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INTRODUCTION_TEXT = """
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π The π²πΎ Malaysian Embedding Leaderboard aims to track, rank and evaluate Top-k retrieval using embedding models. All notebooks at https://github.com/mesolitica/embedding-benchmarks, feel free to submit your own score at https://huggingface.co/spaces/mesolitica/Malaysian-Embedding-Leaderboard/discussions with link to the notebook.
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## Dataset
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π We evaluate models based on 4 datasets,
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1. CrossRef Melayu related DOI, https://huggingface.co/datasets/mesolitica/malaysian-ultrachat/resolve/main/ultrachat-crossref-melayu-malay.jsonl
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2. Epenerbitan, https://huggingface.co/datasets/mesolitica/malaysian-ultrachat/resolve/main/ultrachat-epenerbitan-malay.jsonl
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3. gov.my PDF files, https://huggingface.co/datasets/mesolitica/malaysian-ultrachat/resolve/main/ultrachat-gov.my.jsonl
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4. lom.agc.gov.my PDF files, https://huggingface.co/datasets/mesolitica/malaysian-ultrachat/resolve/main/ultrachat-lom-agc.jsonl
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"""
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demo = gr.Blocks(css=custom_css)
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css_html_js.py
ADDED
@@ -0,0 +1,111 @@
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custom_css = """
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.markdown-text {
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font-size: 16px !important;
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}
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#models-to-add-text {
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font-size: 18px !important;
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}
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#citation-button span {
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font-size: 16px !important;
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}
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#citation-button textarea {
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font-size: 16px !important;
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}
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#citation-button > label > button {
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margin: 6px;
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transform: scale(1.3);
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}
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#leaderboard-table {
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margin-top: 15px
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}
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#leaderboard-table-lite {
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margin-top: 15px
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}
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#search-bar-table-box > div:first-child {
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background: none;
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border: none;
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}
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#search-bar {
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padding: 0px;
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}
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/* Hides the final AutoEvalColumn */
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#llm-benchmark-tab-table table td:last-child,
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#llm-benchmark-tab-table table th:last-child {
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display: none;
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}
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/* Limit the width of the first AutoEvalColumn so that names don't expand too much */
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table td:first-child,
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table th:first-child {
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max-width: 400px;
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overflow: auto;
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white-space: nowrap;
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}
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.tab-buttons button {
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font-size: 20px;
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}
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#scale-logo {
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border-style: none !important;
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box-shadow: none;
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display: block;
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margin-left: auto;
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margin-right: auto;
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max-width: 600px;
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}
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#scale-logo .download {
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display: none;
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}
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#filter_type{
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border: 0;
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padding-left: 0;
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padding-top: 0;
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}
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#filter_type label {
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display: flex;
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}
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#filter_type label > span{
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margin-top: var(--spacing-lg);
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margin-right: 0.5em;
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}
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#filter_type label > .wrap{
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width: 103px;
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}
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#filter_type label > .wrap .wrap-inner{
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padding: 2px;
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}
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#filter_type label > .wrap .wrap-inner input{
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width: 1px
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}
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#filter-columns-type{
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border:0;
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padding:0.5;
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}
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#filter-columns-size{
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border:0;
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padding:0.5;
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}
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#box-filter > .form{
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border: 0
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}
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"""
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get_window_url_params = """
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function(url_params) {
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const params = new URLSearchParams(window.location.search);
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url_params = Object.fromEntries(params);
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return url_params;
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}
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"""
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