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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
@@ -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
@@ -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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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
@@ -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
@@ -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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"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-legend.svg",
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"Open Source": "assets/os-legend.svg",
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"API Available": "assets/api-legend.svg",
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"Closed": "assets/c-legend.svg",
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}
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TOOLING_SVG_MAP = {
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"Standard": "assets/standard-legend.svg",
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"Custom with Standard Search": "assets/equivalent-legend.svg",
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"Fully Custom": "assets/custom-legend.svg",
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}
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def get_svg_as_data_uri(path: str) -> str:
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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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def build_openness_tooltip_content() -> str:
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"""
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Generates the inner HTML for the Agent Openness tooltip card,
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"""
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descriptions = {
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"Open Source + Open Weights": "Both code and ML models are open",
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"Open Source": "Code is open but uses an ML model with closed-weights",
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"API Available": "No access to code; API access only",
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"Closed": "No access to code or API; UI access only",
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}
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html_items = []
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for name, path in OPENNESS_SVG_MAP.items():
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uri = get_svg_as_data_uri(path)
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desc = descriptions.get(name, "")
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# Create the HTML for a single row in the tooltip legend
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html_items.append(f"""
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<div class="tooltip-legend-item">
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<img src="{uri}" alt="{name}">
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<div>
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<strong>{name}</strong>
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<span>{desc}</span>
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</div>
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</div>
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""")
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return "".join(html_items)
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+
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def build_pareto_tooltip_content() -> str:
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"""Generates the inner HTML for the Pareto tooltip card with final copy."""
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return f"""
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<h3>On Pareto Frontier</h3>
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<p class="tooltip-description">The Pareto frontier represents the best balance between score and cost.</p>
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+
<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 |
"""
|