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Amber Tanaka
commited on
Table Legends Refactor (#57)
Browse files- README.md +5 -2
- app.py +1 -2
- content.py +82 -0
- ui_components.py +201 -59
README.md
CHANGED
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@@ -18,8 +18,11 @@ tags:
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The leaderboard is built using the [HuggingFace Datasets](https://huggingface.co/docs/datasets/index) library, which provides a convenient way to manage and query datasets.
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It's currently pointed at the [AstaBench Leaderboard](https://huggingface.co/datasets/allenai/asta-bench-internal-results/) dataset, which is a public dataset hosted on HuggingFace.
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To run the leaderboard locally
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```bash
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python app.py
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```
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The leaderboard is built using the [HuggingFace Datasets](https://huggingface.co/docs/datasets/index) library, which provides a convenient way to manage and query datasets.
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It's currently pointed at the [AstaBench Leaderboard](https://huggingface.co/datasets/allenai/asta-bench-internal-results/) dataset, which is a public dataset hosted on HuggingFace.
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To run the leaderboard locally first make sure to set this env variable:
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```bash
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export IS_INTERNAL=true
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```
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You can then start it up with the following command:
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```bash
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python app.py
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```
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app.py
CHANGED
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@@ -1,6 +1,5 @@
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# app.py
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import gradio as gr
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import os
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import urllib.parse
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from apscheduler.schedulers.background import BackgroundScheduler
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@@ -165,7 +164,7 @@ def restart_space_job():
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if __name__ == "__main__":
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if LOCAL_DEBUG:
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print("Launching in LOCAL_DEBUG mode.")
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def get_initial_global_tag_choices(): return ["Overall"
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demo.launch(debug=True, allowed_paths=["assets"])
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else:
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print("Launching in Space mode.")
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# app.py
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import gradio as gr
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import urllib.parse
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from apscheduler.schedulers.background import BackgroundScheduler
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if __name__ == "__main__":
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if LOCAL_DEBUG:
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print("Launching in LOCAL_DEBUG mode.")
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+
def get_initial_global_tag_choices(): return ["Overall"]
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demo.launch(debug=True, allowed_paths=["assets"])
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else:
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print("Launching in Space mode.")
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content.py
CHANGED
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@@ -445,6 +445,88 @@ span.wrap[tabindex="0"][role="button"][data-editable="false"] {
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#main-header h2 {
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color: #f0529c;
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}
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#about-page-content-wrapper {
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margin-left: auto;
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margin-right: auto;
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#main-header h2 {
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color: #f0529c;
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}
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/* --- New HTML-Based Tooltip Styles --- */
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.tooltip-icon-legend {
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position: relative;
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cursor: help;
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display: inline-block;
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}
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/* The HTML pop-up card.*/
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.tooltip-card {
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/* Hiding mechanism */
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opacity: 0;
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visibility: hidden;
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transition: opacity 0.2s;
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pointer-events: none;
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/* Card appearance */
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position: absolute;
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bottom: 125%;
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left: 50%;
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transform: translateX(-50%);
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z-index: 1000;
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background-color: #083c40;
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color: #e5e7eb;
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border-radius: 12px;
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padding: 15px;
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width: max-content;
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max-width: 400px;
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text-align: left;
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}
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.tooltip-icon-legend:hover .tooltip-card {
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opacity: 1;
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visibility: visible;
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}
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.tooltip-card h3 {
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font-size: 18px;
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color: #fff;
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margin-top: 0;
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margin-bottom: 12px;
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}
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.tooltip-card .tooltip-description {
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margin-bottom: 20px;
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line-height: 1.3;
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}
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.tooltip-card .tooltip-items-container {
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display: flex;
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flex-direction: column;
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gap: 10px;
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}
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.tooltip-card .tooltip-legend-item {
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display: flex;
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align-items:
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flex-start;
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gap: 10px;
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}
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.tooltip-card .tooltip-legend-item img {
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width: 20px;
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height: 20px;
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margin-top: 2px;
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}
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.tooltip-card .tooltip-legend-item div {
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display: flex;
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flex-direction: column;
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}
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.tooltip-card .tooltip-legend-item strong {
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font-weight: 600;
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color: #fff;
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}
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.tooltip-card .tooltip-legend-item span {
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font-size: 13px;
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line-height: 1.3;
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}
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.tooltip-sub-list {
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list-style-type: 'β’ ';
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padding-left: 18px;
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font-size: 13px;
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line-height: 1.3;
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display: flex;
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flex-direction: column;
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/* About Page CSS */
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#about-page-content-wrapper {
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margin-left: auto;
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margin-right: auto;
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ui_components.py
CHANGED
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@@ -41,36 +41,36 @@ os.makedirs(EXTRACTED_DATA_DIR, exist_ok=True)
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# Global variables
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COMBINED_ICON_MAP = {
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"Open Source + Open Weights": {
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"Standard": "assets/os-ow-standard.svg",
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"Custom with Standard Search": "assets/os-ow-equivalent.svg",
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"Custom": "assets/os-ow-custom.svg",
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},
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"Open Source": {
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"Standard": "assets/os-standard.svg",
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"Custom with Standard Search": "assets/os-equivalent.svg",
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"Fully Custom": "assets/os-custom.svg",
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},
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"API Available": {
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"Standard": "assets/api-standard.svg",
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"Custom with Standard Search": "assets/api-equivalent.svg",
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"Fully Custom": "assets/api-custom.svg",
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},
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"Closed": {
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"Standard": "assets/c-standard.svg",
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"Equivalent": "assets/c-equivalent.svg",
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"Fully Custom": "assets/c-custom.svg",
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}
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}
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OPENNESS_SVG_MAP = {
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"Open Source + Open Weights": "assets/os-ow-
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"Open Source": "assets/os-
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"API Available": "assets/api-
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"Closed": "assets/c-
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}
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TOOLING_SVG_MAP = {
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"Standard": "assets/
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"Custom with Standard Search": "assets/
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"Fully Custom": "assets/
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}
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def get_svg_as_data_uri(path: str) -> str:
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@@ -122,6 +122,126 @@ def create_svg_html(value, svg_map):
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return f'<img src="{src}" style="width: 16px; height: 16px; vertical-align: middle;" alt="{value}" title="{value}">'
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return ""
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# Dynamically generate the correct HTML for the legend parts
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openness_html = " ".join([create_svg_html(name, OPENNESS_SVG_MAP) for name in OPENNESS_SVG_MAP])
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tooling_html = " ".join([create_svg_html(name, TOOLING_SVG_MAP) for name in TOOLING_SVG_MAP])
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@@ -150,47 +270,67 @@ for name, path in TOOLING_SVG_MAP.items():
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)
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tooling_html = " ".join(tooling_html_items)
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β’Open Source + Open Weights: Code and weights available
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">β</span>
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<div style="display: flex; flex-wrap: wrap; align-items: center; gap: 16px; margin-top: 4px;">{openness_html}</div>
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</div>
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<div> <!-- Container for the Tooling section -->
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<b>Agent Tooling</b><span class="tooltip-icon" data-tooltip="β’ Standard: Standard Approach used by the agent
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β’ Custom with Standard Search: Standard search used by the agent
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β’ Fully Custom: Fully custom tools used by the agent
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">β</span>
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<div style="display: flex; flex-wrap: wrap; align-items: center; gap: 16px; margin-top: 4px;">{tooling_html}</div>
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</div>
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β’ Overall Cost: Cost per task in USD
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β’ Literature Understanding Score: Performance on scientific literature tasks
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β’ Literature Understanding Cost: Cost per literature understanding task in USD
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β’ Data Analysis Score: Performance on data analysis tasks
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β’ Code Execution Score: Performance on coding tasks
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β’ Code Execution Cost: Cost per code execution task in USD
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β’ Discovery Score: Performance on information discovery tasks
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β’ Discovery Cost: Cost per discovery task in USD
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β’ Categories Attempted: Number of benchmark categories the agent participated in
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β’ Logs: Link to detailed evaluation logs">β</span></div>
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</div>
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"""
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# --- Global State for Viewers (simple caching) ---
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CACHED_VIEWERS = {}
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@@ -330,7 +470,6 @@ def create_leaderboard_display(
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gr.HTML(value=scatter_disclaimer_html, elem_id="scatter-disclaimer")
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# Put table and key into an accordion
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with gr.Accordion("Show / Hide Table View", open=True, elem_id="leaderboard-accordion"):
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gr.HTML(value=legend_markdown, elem_id="legend-markdown")
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dataframe_component = gr.DataFrame(
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headers=df_headers,
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value=df_view,
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@@ -340,6 +479,8 @@ def create_leaderboard_display(
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column_widths=[40, 40, 200, 200],
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elem_classes=["wrap-header-df"]
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)
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# Return the components so they can be referenced elsewhere.
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return plot_component, dataframe_component
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@@ -487,7 +628,6 @@ def create_benchmark_details_display(
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gr.HTML(value=scatter_disclaimer_html, elem_id="scatter-disclaimer")
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# Put table and key into an accordion
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with gr.Accordion("Show / Hide Table View", open=True, elem_id="leaderboard-accordion"):
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-
gr.HTML(value=legend_markdown, elem_id="legend-markdown")
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gr.DataFrame(
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headers=df_headers,
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value=benchmark_table_df,
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@@ -497,6 +637,8 @@ def create_benchmark_details_display(
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column_widths=[40, 40, 200, 150, 175, 85],
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elem_classes=["wrap-header-df"]
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)
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def get_full_leaderboard_data(split: str) -> tuple[pd.DataFrame, dict]:
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"""
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# Global variables
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COMBINED_ICON_MAP = {
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"Open Source + Open Weights": {
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+
"Standard": "assets/os-ow-standard.svg",
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| 45 |
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"Custom with Standard Search": "assets/os-ow-equivalent.svg",
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"Custom": "assets/os-ow-custom.svg",
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},
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"Open Source": {
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"Standard": "assets/os-standard.svg",
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"Custom with Standard Search": "assets/os-equivalent.svg",
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"Fully Custom": "assets/os-custom.svg",
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},
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"API Available": {
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"Standard": "assets/api-standard.svg",
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| 55 |
+
"Custom with Standard Search": "assets/api-equivalent.svg",
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+
"Fully Custom": "assets/api-custom.svg",
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},
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"Closed": {
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"Standard": "assets/c-standard.svg",
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+
"Equivalent": "assets/c-equivalent.svg",
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| 61 |
+
"Fully Custom": "assets/c-custom.svg",
|
| 62 |
}
|
| 63 |
}
|
| 64 |
OPENNESS_SVG_MAP = {
|
| 65 |
+
"Open Source + Open Weights": "assets/os-ow-legend.svg",
|
| 66 |
+
"Open Source": "assets/os-legend.svg",
|
| 67 |
+
"API Available": "assets/api-legend.svg",
|
| 68 |
+
"Closed": "assets/c-legend.svg",
|
| 69 |
}
|
| 70 |
TOOLING_SVG_MAP = {
|
| 71 |
+
"Standard": "assets/standard-legend.svg",
|
| 72 |
+
"Custom with Standard Search": "assets/equivalent-legend.svg",
|
| 73 |
+
"Fully Custom": "assets/custom-legend.svg",
|
| 74 |
}
|
| 75 |
|
| 76 |
def get_svg_as_data_uri(path: str) -> str:
|
|
|
|
| 122 |
return f'<img src="{src}" style="width: 16px; height: 16px; vertical-align: middle;" alt="{value}" title="{value}">'
|
| 123 |
return ""
|
| 124 |
|
| 125 |
+
def build_openness_tooltip_content() -> str:
|
| 126 |
+
"""
|
| 127 |
+
Generates the inner HTML for the Agent Openness tooltip card,
|
| 128 |
+
"""
|
| 129 |
+
descriptions = {
|
| 130 |
+
"Open Source + Open Weights": "Both code and ML models are open",
|
| 131 |
+
"Open Source": "Code is open but uses an ML model with closed-weights",
|
| 132 |
+
"API Available": "No access to code; API access only",
|
| 133 |
+
"Closed": "No access to code or API; UI access only",
|
| 134 |
+
}
|
| 135 |
+
html_items = []
|
| 136 |
+
for name, path in OPENNESS_SVG_MAP.items():
|
| 137 |
+
uri = get_svg_as_data_uri(path)
|
| 138 |
+
desc = descriptions.get(name, "")
|
| 139 |
+
|
| 140 |
+
# Create the HTML for a single row in the tooltip legend
|
| 141 |
+
html_items.append(f"""
|
| 142 |
+
<div class="tooltip-legend-item">
|
| 143 |
+
<img src="{uri}" alt="{name}">
|
| 144 |
+
<div>
|
| 145 |
+
<strong>{name}</strong>
|
| 146 |
+
<span>{desc}</span>
|
| 147 |
+
</div>
|
| 148 |
+
</div>
|
| 149 |
+
""")
|
| 150 |
+
|
| 151 |
+
return "".join(html_items)
|
| 152 |
+
|
| 153 |
+
def build_pareto_tooltip_content() -> str:
|
| 154 |
+
"""Generates the inner HTML for the Pareto tooltip card with final copy."""
|
| 155 |
+
return f"""
|
| 156 |
+
<h3>On Pareto Frontier</h3>
|
| 157 |
+
<p class="tooltip-description">The Pareto frontier represents the best balance between score and cost.</p>
|
| 158 |
+
<p class="tooltip-description">Agents on the frontier either:</p>
|
| 159 |
+
<ul class="tooltip-sub-list">
|
| 160 |
+
<li>Offer the lowest cost for a given performance, or</li>
|
| 161 |
+
<li>Deliver the best performance at a given cost.</li>
|
| 162 |
+
</ul>
|
| 163 |
+
<p class="tooltip-description" style="margin-top: 12px;">These agents are marked with this icon: π</p>
|
| 164 |
+
"""
|
| 165 |
+
|
| 166 |
+
def build_tooling_tooltip_content() -> str:
|
| 167 |
+
"""Generates the inner HTML for the Agent Tooling tooltip card."""
|
| 168 |
+
descriptions = {
|
| 169 |
+
"Standard": "Uses only predefined tools from the evaluation environment (as defined in Inspect's state.tools).",
|
| 170 |
+
"Custom with Standard Search": "Custom tools for accessing an equivalent underlying environment:",
|
| 171 |
+
"Fully Custom": "Uses tools beyond constraints of Standard or Custom interface",
|
| 172 |
+
}
|
| 173 |
+
custom_interface_sub_list = """
|
| 174 |
+
<ul class="tooltip-sub-list">
|
| 175 |
+
<li>Literature tasks: Information access is limited to date-restricted usage of the Asta MCP tools.</li>
|
| 176 |
+
<li>Code tasks: Code execution is limited to an iPython shell in a machine environment initialized with the standard Asta sandbox Dockerfile (or equivalent).</li>
|
| 177 |
+
</ul>
|
| 178 |
+
"""
|
| 179 |
+
html_items = []
|
| 180 |
+
for name, path in TOOLING_SVG_MAP.items():
|
| 181 |
+
uri = get_svg_as_data_uri(path)
|
| 182 |
+
desc = descriptions.get(name, "")
|
| 183 |
+
|
| 184 |
+
# Check if this is the special case that needs a sub-list
|
| 185 |
+
sub_list_html = custom_interface_sub_list if name == "Custom with Standard Search" else ""
|
| 186 |
+
|
| 187 |
+
html_items.append(f"""
|
| 188 |
+
<div class="tooltip-legend-item">
|
| 189 |
+
<img src="{uri}" alt="{name}">
|
| 190 |
+
<div>
|
| 191 |
+
<strong>{name}</strong>
|
| 192 |
+
<span>{desc}</span>
|
| 193 |
+
{sub_list_html}
|
| 194 |
+
</div>
|
| 195 |
+
</div>
|
| 196 |
+
""")
|
| 197 |
+
|
| 198 |
+
return "".join(html_items)
|
| 199 |
+
|
| 200 |
+
|
| 201 |
+
def build_descriptions_tooltip_content(table) -> str:
|
| 202 |
+
"""Generates the inner HTML for the Column Descriptions tooltip card depending on which kind of table."""
|
| 203 |
+
if table == "Overall":
|
| 204 |
+
return """
|
| 205 |
+
<div class="tooltip-description-item"><b>Agent:</b> Name of the evaluated agent.</div>
|
| 206 |
+
<div class="tooltip-description-item"><b>Submitter:</b> Organization or individual who submitted the agent for evaluation.</div>
|
| 207 |
+
<div class="tooltip-description-item"><b>LLM Base:</b> Model(s) used by the agent. Hover over β to view all.</div>
|
| 208 |
+
<div class="tooltip-description-item"><b>Overall Score:</b> Macro-average of the four category-level average scores. Each category contributes equally.</div>
|
| 209 |
+
<div class="tooltip-description-item"><b>Overall Cost:</b> Macro-average cost per problem across all categories, in USD. Based on submission-time values. Each category contributes equally</div>
|
| 210 |
+
<div class="tooltip-description-item"><b>Literature Understanding Score:</b> Macro-average score across Literature Understanding benchmarks.</div>
|
| 211 |
+
<div class="tooltip-description-item"><b>Literature Understanding Cost:</b> Macro-average cost per problem (USD) across Literature Understanding benchmarks.</div>
|
| 212 |
+
<div class="tooltip-description-item"><b>Code Execution Score:</b> Macro-average score across Code & Execution benchmarks.</div>
|
| 213 |
+
<div class="tooltip-description-item"><b>Code Execution Cost:</b> Macro-average cost per problem (USD) across Code & Execution benchmarks.</div>
|
| 214 |
+
<div class="tooltip-description-item"><b>Data Analysis Score:</b> Macro-average score across Data Analysis benchmarks.</div>
|
| 215 |
+
<div class="tooltip-description-item"><b>Data Analysis Cost:</b> Macro-average cost per problem (USD) across Data Analysis benchmarks.</div>
|
| 216 |
+
<div class="tooltip-description-item"><b>End-to-End Discovery Score:</b> Macro-average score across End-to-End Discovery benchmarks.</div>
|
| 217 |
+
<div class="tooltip-description-item"><b>End-to-End Discovery Cost:</b> Macro-average cost per problem (USD)across End-to-End Discovery benchmarks.</div>
|
| 218 |
+
<div class="tooltip-description-item"><b>Categories Attempted:</b> Number of core categories with at least one benchmark attempted (out of 4).</div>
|
| 219 |
+
<div class="tooltip-description-item"><b>Logs:</b> View evaluation run logs (e.g., outputs, traces).</div>
|
| 220 |
+
"""
|
| 221 |
+
elif table in ["Literature Understanding", "Code & Execution", "Data Analysis", "End-to-End Discovery"]:
|
| 222 |
+
return f"""
|
| 223 |
+
<div class="tooltip-description-item"><b>Agent:</b> Name of the evaluated agent.</div>
|
| 224 |
+
<div class="tooltip-description-item"><b>Submitter:</b> Organization or individual who submitted the agent for evaluation.</div>
|
| 225 |
+
<div class="tooltip-description-item"><b>LLM Base:</b> Model(s) used by the agent. Hover over β to view all.</div>
|
| 226 |
+
<div class="tooltip-description-item"><b>{table} Score:</b> Macro-average score across {table} benchmarks.</div>
|
| 227 |
+
<div class="tooltip-description-item"><b>{table} Cost:</b> Macro-average cost per problem (USD) across {table} benchmarks.</div>
|
| 228 |
+
<div class="tooltip-description-item"><b>Benchmark Score:</b> Average (mean) score on the benchmark.</div>
|
| 229 |
+
<div class="tooltip-description-item"><b>Benchmark Cost:</b> Average (mean) cost per problem (USD) on the benchmark.</div>
|
| 230 |
+
<div class="tooltip-description-item"><b>Benchmarks Attempted:</b> Number of benchmarks attempted in this category (e.g., 3/5).</div>
|
| 231 |
+
<div class="tooltip-description-item"><b>Logs:</b> View evaluation run logs (e.g., outputs, traces).</div>
|
| 232 |
+
"""
|
| 233 |
+
else:
|
| 234 |
+
# Fallback for any other table type, e.g., individual benchmarks
|
| 235 |
+
return f"""
|
| 236 |
+
<div class="tooltip-description-item"><b>Agent:</b> Name of the evaluated agent.</div>
|
| 237 |
+
<div class="tooltip-description-item"><b>Submitter:</b> Organization or individual who submitted the agent for evaluation.</div>
|
| 238 |
+
<div class="tooltip-description-item"><b>LLM Base:</b> Model(s) used by the agent. Hover over β to view all.</div>
|
| 239 |
+
<div class="tooltip-description-item"><b>Benchmark Attempted:</b> Indicates whether the agent attempted this benchmark.</div>
|
| 240 |
+
<div class="tooltip-description-item"><b>{table} Score:</b> Score achieved by the agent on this benchmark.</div>
|
| 241 |
+
<div class="tooltip-description-item"><b>{table} Cost:</b> Cost incurred by the agent to solve this benchmark (in USD).</div>
|
| 242 |
+
<div class="tooltip-description-item"><b>Logs:</b> View evaluation run logs (e.g., outputs, traces).</div>
|
| 243 |
+
"""
|
| 244 |
+
|
| 245 |
# Dynamically generate the correct HTML for the legend parts
|
| 246 |
openness_html = " ".join([create_svg_html(name, OPENNESS_SVG_MAP) for name in OPENNESS_SVG_MAP])
|
| 247 |
tooling_html = " ".join([create_svg_html(name, TOOLING_SVG_MAP) for name in TOOLING_SVG_MAP])
|
|
|
|
| 270 |
)
|
| 271 |
tooling_html = " ".join(tooling_html_items)
|
| 272 |
|
| 273 |
+
pareto_tooltip_content = build_pareto_tooltip_content()
|
| 274 |
+
openness_tooltip_content = build_openness_tooltip_content()
|
| 275 |
+
tooling_tooltip_content = build_tooling_tooltip_content()
|
| 276 |
|
| 277 |
+
def create_legend_markdown(which_table: str) -> str:
|
| 278 |
+
"""
|
| 279 |
+
Generates the complete HTML for the legend section, including tooltips.
|
| 280 |
+
This is used in the main leaderboard display.
|
| 281 |
+
"""
|
| 282 |
+
descriptions_tooltip_content = build_descriptions_tooltip_content(which_table)
|
| 283 |
+
legend_markdown = f"""
|
| 284 |
+
<div style="display: flex; flex-wrap: wrap; align-items: flex-start; gap: 10px; font-size: 14px; padding-bottom: 8px;">
|
| 285 |
+
|
| 286 |
+
<div> <!-- Container for the Pareto section -->
|
| 287 |
+
<b>Pareto</b>
|
| 288 |
+
<span class="tooltip-icon-legend">
|
| 289 |
+
β
|
| 290 |
+
<span class="tooltip-card">{pareto_tooltip_content}</span>
|
| 291 |
+
</span>
|
| 292 |
+
<div style="margin-top: 8px;"><span>π On frontier</span></div>
|
| 293 |
+
</div>
|
| 294 |
+
|
| 295 |
+
<div> <!-- Container for the Openness section -->
|
| 296 |
+
<b>Agent Openness</b>
|
| 297 |
+
<span class="tooltip-icon-legend">
|
| 298 |
+
β
|
| 299 |
+
<span class="tooltip-card">
|
| 300 |
+
<h3>Agent Openness</h3>
|
| 301 |
+
<p class="tooltip-description">Indicates how transparent and reproducible an agent is.</p>
|
| 302 |
+
<div class="tooltip-items-container">{openness_tooltip_content}</div>
|
| 303 |
+
</span>
|
| 304 |
+
</span>
|
| 305 |
+
<div style="display: flex; flex-wrap: wrap; align-items: center; gap: 16px; margin-top: 8px;">{openness_html}</div>
|
| 306 |
+
</div>
|
| 307 |
+
|
| 308 |
+
<div> <!-- Container for the Tooling section -->
|
| 309 |
+
<b>Agent Tooling</b>
|
| 310 |
+
<span class="tooltip-icon-legend">
|
| 311 |
+
β
|
| 312 |
+
<span class="tooltip-card">
|
| 313 |
+
<h3>Agent Tooling</h3>
|
| 314 |
+
<p class="tooltip-description">Describes the tool usage and execution environment of the agent during evaluation.</p>
|
| 315 |
+
<div class="tooltip-items-container">{tooling_tooltip_content}</div>
|
| 316 |
+
</span>
|
| 317 |
+
</span>
|
| 318 |
+
<div style="display: flex; flex-wrap: wrap; align-items: center; gap: 16px; margin-top: 8px;">{tooling_html}</div>
|
| 319 |
+
</div>
|
| 320 |
|
| 321 |
+
<div><!-- Container for the Column Descriptions section -->
|
| 322 |
+
<b>Column Descriptions</b>
|
| 323 |
+
<span class="tooltip-icon-legend">
|
| 324 |
+
β
|
| 325 |
+
<span class="tooltip-card">
|
| 326 |
+
<h3>Column Descriptions</h3>
|
| 327 |
+
<div class="tooltip-items-container">{descriptions_tooltip_content}</div>
|
| 328 |
+
</span>
|
| 329 |
+
</span>
|
| 330 |
+
</div>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 331 |
</div>
|
| 332 |
+
"""
|
| 333 |
+
return legend_markdown
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 334 |
|
| 335 |
# --- Global State for Viewers (simple caching) ---
|
| 336 |
CACHED_VIEWERS = {}
|
|
|
|
| 470 |
gr.HTML(value=scatter_disclaimer_html, elem_id="scatter-disclaimer")
|
| 471 |
# Put table and key into an accordion
|
| 472 |
with gr.Accordion("Show / Hide Table View", open=True, elem_id="leaderboard-accordion"):
|
|
|
|
| 473 |
dataframe_component = gr.DataFrame(
|
| 474 |
headers=df_headers,
|
| 475 |
value=df_view,
|
|
|
|
| 479 |
column_widths=[40, 40, 200, 200],
|
| 480 |
elem_classes=["wrap-header-df"]
|
| 481 |
)
|
| 482 |
+
legend_markdown = create_legend_markdown(category_name)
|
| 483 |
+
gr.HTML(value=legend_markdown, elem_id="legend-markdown")
|
| 484 |
|
| 485 |
# Return the components so they can be referenced elsewhere.
|
| 486 |
return plot_component, dataframe_component
|
|
|
|
| 628 |
gr.HTML(value=scatter_disclaimer_html, elem_id="scatter-disclaimer")
|
| 629 |
# Put table and key into an accordion
|
| 630 |
with gr.Accordion("Show / Hide Table View", open=True, elem_id="leaderboard-accordion"):
|
|
|
|
| 631 |
gr.DataFrame(
|
| 632 |
headers=df_headers,
|
| 633 |
value=benchmark_table_df,
|
|
|
|
| 637 |
column_widths=[40, 40, 200, 150, 175, 85],
|
| 638 |
elem_classes=["wrap-header-df"]
|
| 639 |
)
|
| 640 |
+
legend_markdown = create_legend_markdown(benchmark_name)
|
| 641 |
+
gr.HTML(value=legend_markdown, elem_id="legend-markdown")
|
| 642 |
|
| 643 |
def get_full_leaderboard_data(split: str) -> tuple[pd.DataFrame, dict]:
|
| 644 |
"""
|