Datasets:
Publish Ropedia Xperience-10M derived artifacts
Browse files- PROJECT_README.md +1 -1
- docs/assets/task_suite_infographic.png +2 -2
- docs/data/artifact_index.json +4 -4
- docs/data/publication_audit.json +2 -2
- docs/index.html +12 -13
- scripts/render_task_suite_infographic.py +45 -16
PROJECT_README.md
CHANGED
|
@@ -156,7 +156,7 @@ The code files are MIT-licensed. Raw Xperience-10M data is not redistributed
|
|
| 156 |
here, and dataset use remains governed by the official Ropedia/Xperience-10M
|
| 157 |
terms. See [`LICENSE`](LICENSE) and [`DATA_NOTICE.md`](DATA_NOTICE.md).
|
| 158 |
|
| 159 |
-
 and [`DATA_NOTICE.md`](DATA_NOTICE.md).
|
| 158 |
|
| 159 |
+

|
| 160 |
|
| 161 |
The infographic uses a ChatGPT-image-generated text-free research background and
|
| 162 |
larger modality-atlas thumbnails extracted from the public sample episode. The
|
docs/assets/task_suite_infographic.png
CHANGED
|
Git LFS Details
|
|
Git LFS Details
|
docs/data/artifact_index.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
-
"generated_at_utc": "2026-06-
|
| 4 |
"status": "pass",
|
| 5 |
"artifact_count": 24,
|
| 6 |
"missing": [],
|
|
@@ -98,7 +98,7 @@
|
|
| 98 |
"volatile": true,
|
| 99 |
"proves": "Confirms public bundles pass raw-data, cache, archive, and token-string checks.",
|
| 100 |
"exists": true,
|
| 101 |
-
"bytes":
|
| 102 |
"hash_policy": "existence_and_size_only"
|
| 103 |
},
|
| 104 |
{
|
|
@@ -219,8 +219,8 @@
|
|
| 219 |
"surface": "website_hf",
|
| 220 |
"proves": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
|
| 221 |
"exists": true,
|
| 222 |
-
"bytes":
|
| 223 |
-
"sha256": "
|
| 224 |
},
|
| 225 |
{
|
| 226 |
"id": "pipeline_figure",
|
|
|
|
| 1 |
{
|
| 2 |
"title": "Ropedia Xperience-10M Task Suite Artifact Index",
|
| 3 |
+
"generated_at_utc": "2026-06-01T01:16:11+00:00",
|
| 4 |
"status": "pass",
|
| 5 |
"artifact_count": 24,
|
| 6 |
"missing": [],
|
|
|
|
| 98 |
"volatile": true,
|
| 99 |
"proves": "Confirms public bundles pass raw-data, cache, archive, and token-string checks.",
|
| 100 |
"exists": true,
|
| 101 |
+
"bytes": 3442,
|
| 102 |
"hash_policy": "existence_and_size_only"
|
| 103 |
},
|
| 104 |
{
|
|
|
|
| 219 |
"surface": "website_hf",
|
| 220 |
"proves": "Presents the task suite and sample modality thumbnails with metrics generated from committed files.",
|
| 221 |
"exists": true,
|
| 222 |
+
"bytes": 2350603,
|
| 223 |
+
"sha256": "74750ce99569a065175d2c5bcb466fda3a172f7716527fbd97df6d40a7230548"
|
| 224 |
},
|
| 225 |
{
|
| 226 |
"id": "pipeline_figure",
|
docs/data/publication_audit.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
-
"generated_at_utc": "2026-06-01T01:
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
@@ -80,7 +80,7 @@
|
|
| 80 |
"text_file_count": 33,
|
| 81 |
"largest_file": {
|
| 82 |
"path": "assets/task_suite_infographic.png",
|
| 83 |
-
"bytes":
|
| 84 |
},
|
| 85 |
"violations": []
|
| 86 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"status": "pass",
|
| 3 |
+
"generated_at_utc": "2026-06-01T01:16:11+00:00",
|
| 4 |
"checks": [
|
| 5 |
{
|
| 6 |
"name": "required_publication_assets_present",
|
|
|
|
| 80 |
"text_file_count": 33,
|
| 81 |
"largest_file": {
|
| 82 |
"path": "assets/task_suite_infographic.png",
|
| 83 |
+
"bytes": 2350603
|
| 84 |
},
|
| 85 |
"violations": []
|
| 86 |
},
|
docs/index.html
CHANGED
|
@@ -13,11 +13,11 @@
|
|
| 13 |
<meta property="og:description" content="One public embodied-AI episode, converted into reproducible multimodal tasks, minimal baselines, neural MLP baselines, metrics, and diagrams.">
|
| 14 |
<meta property="og:type" content="website">
|
| 15 |
<meta property="og:url" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/">
|
| 16 |
-
<meta property="og:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-modalities-
|
| 17 |
<meta name="twitter:card" content="summary_large_image">
|
| 18 |
<meta name="twitter:title" content="Ropedia Xperience-10M Task Suite">
|
| 19 |
<meta name="twitter:description" content="Audit-first Xperience-10M multimodal task suite with minimal and neural baselines.">
|
| 20 |
-
<meta name="twitter:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-modalities-
|
| 21 |
<script type="application/ld+json">
|
| 22 |
{
|
| 23 |
"@context": "https://schema.org",
|
|
@@ -342,15 +342,14 @@
|
|
| 342 |
margin-bottom: 24px;
|
| 343 |
}
|
| 344 |
.figure-pan {
|
| 345 |
-
overflow
|
| 346 |
border-radius: var(--radius);
|
| 347 |
-
padding-bottom: 6px;
|
| 348 |
-
scrollbar-color: rgba(167, 240, 120, 0.58) rgba(7, 18, 7, 0.8);
|
| 349 |
}
|
| 350 |
.figure-pan .task-suite-image {
|
| 351 |
margin-bottom: 0;
|
| 352 |
-
min-width:
|
| 353 |
-
max-width:
|
|
|
|
| 354 |
}
|
| 355 |
.architecture-image {
|
| 356 |
display: block;
|
|
@@ -804,13 +803,13 @@
|
|
| 804 |
.signal { grid-template-columns: 1fr; }
|
| 805 |
.signal strong { text-align: left; }
|
| 806 |
.figure-pan {
|
| 807 |
-
margin-inline:
|
| 808 |
-
padding-inline:
|
| 809 |
}
|
| 810 |
.figure-pan .task-suite-image {
|
| 811 |
-
width:
|
| 812 |
-
min-width:
|
| 813 |
-
max-width:
|
| 814 |
}
|
| 815 |
}
|
| 816 |
@media (prefers-reduced-motion: reduce) {
|
|
@@ -1004,7 +1003,7 @@
|
|
| 1004 |
<p>The top-level map shows the Xperience-10M sample modalities and the verified 12-task results. Audio is present in the sample MP4 stream, but the current 8,378-d baseline manifest does not featurize it.</p>
|
| 1005 |
</div>
|
| 1006 |
<div class="figure-pan">
|
| 1007 |
-
<img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-modalities-
|
| 1008 |
</div>
|
| 1009 |
</div>
|
| 1010 |
</section>
|
|
|
|
| 13 |
<meta property="og:description" content="One public embodied-AI episode, converted into reproducible multimodal tasks, minimal baselines, neural MLP baselines, metrics, and diagrams.">
|
| 14 |
<meta property="og:type" content="website">
|
| 15 |
<meta property="og:url" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/">
|
| 16 |
+
<meta property="og:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-modalities-v7">
|
| 17 |
<meta name="twitter:card" content="summary_large_image">
|
| 18 |
<meta name="twitter:title" content="Ropedia Xperience-10M Task Suite">
|
| 19 |
<meta name="twitter:description" content="Audit-first Xperience-10M multimodal task suite with minimal and neural baselines.">
|
| 20 |
+
<meta name="twitter:image" content="https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/assets/task_suite_infographic.png?v=xperience10m-modalities-v7">
|
| 21 |
<script type="application/ld+json">
|
| 22 |
{
|
| 23 |
"@context": "https://schema.org",
|
|
|
|
| 342 |
margin-bottom: 24px;
|
| 343 |
}
|
| 344 |
.figure-pan {
|
| 345 |
+
overflow: visible;
|
| 346 |
border-radius: var(--radius);
|
|
|
|
|
|
|
| 347 |
}
|
| 348 |
.figure-pan .task-suite-image {
|
| 349 |
margin-bottom: 0;
|
| 350 |
+
min-width: 0;
|
| 351 |
+
max-width: 100%;
|
| 352 |
+
height: auto;
|
| 353 |
}
|
| 354 |
.architecture-image {
|
| 355 |
display: block;
|
|
|
|
| 803 |
.signal { grid-template-columns: 1fr; }
|
| 804 |
.signal strong { text-align: left; }
|
| 805 |
.figure-pan {
|
| 806 |
+
margin-inline: 0;
|
| 807 |
+
padding-inline: 0;
|
| 808 |
}
|
| 809 |
.figure-pan .task-suite-image {
|
| 810 |
+
width: 100%;
|
| 811 |
+
min-width: 0;
|
| 812 |
+
max-width: 100%;
|
| 813 |
}
|
| 814 |
}
|
| 815 |
@media (prefers-reduced-motion: reduce) {
|
|
|
|
| 1003 |
<p>The top-level map shows the Xperience-10M sample modalities and the verified 12-task results. Audio is present in the sample MP4 stream, but the current 8,378-d baseline manifest does not featurize it.</p>
|
| 1004 |
</div>
|
| 1005 |
<div class="figure-pan">
|
| 1006 |
+
<img class="task-suite-image" src="assets/task_suite_infographic.png?v=xperience10m-modalities-v7" alt="ChatGPT-image-backed infographic showing all 12 Ropedia Xperience-10M tasks">
|
| 1007 |
</div>
|
| 1008 |
</div>
|
| 1009 |
</section>
|
scripts/render_task_suite_infographic.py
CHANGED
|
@@ -14,6 +14,7 @@ import base64
|
|
| 14 |
import html
|
| 15 |
import io
|
| 16 |
import json
|
|
|
|
| 17 |
import subprocess
|
| 18 |
import tempfile
|
| 19 |
from pathlib import Path
|
|
@@ -23,11 +24,12 @@ ROOT = Path(__file__).resolve().parents[1]
|
|
| 23 |
SUMMARY_PATH = ROOT / "results/episode_task_suite/summary_report.json"
|
| 24 |
DEFAULT_BASE = ROOT / "docs/assets/task_suite_infographic_base.png"
|
| 25 |
DEFAULT_SAMPLE_DIR = ROOT.parent / "data/sample/xperience-10m-sample"
|
|
|
|
| 26 |
DEFAULT_OUTPUT = ROOT / "docs/assets/task_suite_infographic.png"
|
| 27 |
CANVAS_WIDTH = 1800
|
| 28 |
-
CANVAS_HEIGHT =
|
| 29 |
THUMB_WIDTH = 760
|
| 30 |
-
THUMB_HEIGHT =
|
| 31 |
|
| 32 |
|
| 33 |
GROUPS = [
|
|
@@ -431,6 +433,32 @@ def load_sample_thumbnails(sample_dir: Path | None) -> dict[str, str]:
|
|
| 431 |
return {}
|
| 432 |
|
| 433 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 434 |
def load_summary() -> dict:
|
| 435 |
return json.loads(SUMMARY_PATH.read_text(encoding="utf-8"))
|
| 436 |
|
|
@@ -711,31 +739,31 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
|
|
| 711 |
.modalities {{
|
| 712 |
display: grid;
|
| 713 |
grid-template-columns: repeat(2, minmax(0, 1fr));
|
| 714 |
-
gap:
|
| 715 |
}}
|
| 716 |
.modality {{
|
| 717 |
-
min-height:
|
| 718 |
-
padding:
|
| 719 |
border: 1px solid rgba(167,240,120,0.22);
|
| 720 |
background: rgba(7,18,7,0.84);
|
| 721 |
border-radius: 8px;
|
| 722 |
display: flex;
|
| 723 |
flex-direction: column;
|
| 724 |
-
gap:
|
| 725 |
}}
|
| 726 |
.modality:nth-child(7) {{
|
| 727 |
grid-column: 1 / -1;
|
| 728 |
-
min-height:
|
| 729 |
}}
|
| 730 |
.modality-thumb {{
|
| 731 |
-
height:
|
| 732 |
overflow: hidden;
|
| 733 |
border: 1px solid rgba(167,240,120,0.16);
|
| 734 |
border-radius: 8px;
|
| 735 |
background: #020502;
|
| 736 |
}}
|
| 737 |
.modality:nth-child(7) .modality-thumb {{
|
| 738 |
-
height:
|
| 739 |
}}
|
| 740 |
.modality-thumb img {{
|
| 741 |
display: block;
|
|
@@ -771,7 +799,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
|
|
| 771 |
}}
|
| 772 |
.modality h3 {{
|
| 773 |
margin: 11px 0 0;
|
| 774 |
-
font-size:
|
| 775 |
line-height: 0.98;
|
| 776 |
text-transform: uppercase;
|
| 777 |
}}
|
|
@@ -782,10 +810,10 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
|
|
| 782 |
}}
|
| 783 |
.modality-row {{
|
| 784 |
display: grid;
|
| 785 |
-
grid-template-columns:
|
| 786 |
-
gap:
|
| 787 |
align-items: baseline;
|
| 788 |
-
padding-top:
|
| 789 |
border-top: 1px solid rgba(167,240,120,0.16);
|
| 790 |
}}
|
| 791 |
.modality-row span {{
|
|
@@ -800,7 +828,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
|
|
| 800 |
.modality-row p {{
|
| 801 |
margin: 0;
|
| 802 |
color: #dce8d7;
|
| 803 |
-
font-size:
|
| 804 |
font-weight: 650;
|
| 805 |
line-height: 1.15;
|
| 806 |
}}
|
|
@@ -809,7 +837,7 @@ def build_html(summary: dict, base_image: Path | None, sample_dir: Path | None)
|
|
| 809 |
grid-template-columns: 1fr auto 1fr auto 1fr auto 1fr;
|
| 810 |
gap: 12px;
|
| 811 |
align-items: center;
|
| 812 |
-
margin-top:
|
| 813 |
padding: 14px;
|
| 814 |
border: 1px solid rgba(167,240,120,0.22);
|
| 815 |
background: rgba(7,18,7,0.72);
|
|
@@ -1047,7 +1075,8 @@ def main() -> int:
|
|
| 1047 |
args = parser.parse_args()
|
| 1048 |
|
| 1049 |
summary = load_summary()
|
| 1050 |
-
|
|
|
|
| 1051 |
if args.html is None:
|
| 1052 |
with tempfile.NamedTemporaryFile("w", suffix=".html", encoding="utf-8", delete=False) as handle:
|
| 1053 |
handle.write(html_text)
|
|
|
|
| 14 |
import html
|
| 15 |
import io
|
| 16 |
import json
|
| 17 |
+
import os
|
| 18 |
import subprocess
|
| 19 |
import tempfile
|
| 20 |
from pathlib import Path
|
|
|
|
| 24 |
SUMMARY_PATH = ROOT / "results/episode_task_suite/summary_report.json"
|
| 25 |
DEFAULT_BASE = ROOT / "docs/assets/task_suite_infographic_base.png"
|
| 26 |
DEFAULT_SAMPLE_DIR = ROOT.parent / "data/sample/xperience-10m-sample"
|
| 27 |
+
DROPBOX_SAMPLE_DIR = Path.home() / "Library/CloudStorage/Dropbox/Ropedia/data/sample/xperience-10m-sample"
|
| 28 |
DEFAULT_OUTPUT = ROOT / "docs/assets/task_suite_infographic.png"
|
| 29 |
CANVAS_WIDTH = 1800
|
| 30 |
+
CANVAS_HEIGHT = 5700
|
| 31 |
THUMB_WIDTH = 760
|
| 32 |
+
THUMB_HEIGHT = 470
|
| 33 |
|
| 34 |
|
| 35 |
GROUPS = [
|
|
|
|
| 433 |
return {}
|
| 434 |
|
| 435 |
|
| 436 |
+
def valid_sample_dir(sample_dir: Path | None) -> bool:
|
| 437 |
+
if sample_dir is None:
|
| 438 |
+
return False
|
| 439 |
+
return (sample_dir / "annotation.hdf5").exists() and (sample_dir / "fisheye_cam0.mp4").exists()
|
| 440 |
+
|
| 441 |
+
|
| 442 |
+
def resolve_sample_dir(sample_dir: Path | None) -> Path | None:
|
| 443 |
+
candidates: list[Path] = []
|
| 444 |
+
env_sample_dir = os.environ.get("XPERIENCE10M_SAMPLE_DIR")
|
| 445 |
+
if env_sample_dir:
|
| 446 |
+
candidates.append(Path(env_sample_dir).expanduser())
|
| 447 |
+
workspace = os.environ.get("WORKSPACE")
|
| 448 |
+
if workspace:
|
| 449 |
+
candidates.append(Path(workspace).expanduser() / "data/sample/xperience-10m-sample")
|
| 450 |
+
if sample_dir is not None:
|
| 451 |
+
candidates.append(sample_dir)
|
| 452 |
+
candidates.extend([
|
| 453 |
+
DEFAULT_SAMPLE_DIR,
|
| 454 |
+
DROPBOX_SAMPLE_DIR,
|
| 455 |
+
])
|
| 456 |
+
for candidate in candidates:
|
| 457 |
+
if valid_sample_dir(candidate):
|
| 458 |
+
return candidate
|
| 459 |
+
return sample_dir
|
| 460 |
+
|
| 461 |
+
|
| 462 |
def load_summary() -> dict:
|
| 463 |
return json.loads(SUMMARY_PATH.read_text(encoding="utf-8"))
|
| 464 |
|
|
|
|
| 739 |
.modalities {{
|
| 740 |
display: grid;
|
| 741 |
grid-template-columns: repeat(2, minmax(0, 1fr));
|
| 742 |
+
gap: 42px;
|
| 743 |
}}
|
| 744 |
.modality {{
|
| 745 |
+
min-height: 835px;
|
| 746 |
+
padding: 38px 38px 40px;
|
| 747 |
border: 1px solid rgba(167,240,120,0.22);
|
| 748 |
background: rgba(7,18,7,0.84);
|
| 749 |
border-radius: 8px;
|
| 750 |
display: flex;
|
| 751 |
flex-direction: column;
|
| 752 |
+
gap: 30px;
|
| 753 |
}}
|
| 754 |
.modality:nth-child(7) {{
|
| 755 |
grid-column: 1 / -1;
|
| 756 |
+
min-height: 710px;
|
| 757 |
}}
|
| 758 |
.modality-thumb {{
|
| 759 |
+
height: 470px;
|
| 760 |
overflow: hidden;
|
| 761 |
border: 1px solid rgba(167,240,120,0.16);
|
| 762 |
border-radius: 8px;
|
| 763 |
background: #020502;
|
| 764 |
}}
|
| 765 |
.modality:nth-child(7) .modality-thumb {{
|
| 766 |
+
height: 430px;
|
| 767 |
}}
|
| 768 |
.modality-thumb img {{
|
| 769 |
display: block;
|
|
|
|
| 799 |
}}
|
| 800 |
.modality h3 {{
|
| 801 |
margin: 11px 0 0;
|
| 802 |
+
font-size: 60px;
|
| 803 |
line-height: 0.98;
|
| 804 |
text-transform: uppercase;
|
| 805 |
}}
|
|
|
|
| 810 |
}}
|
| 811 |
.modality-row {{
|
| 812 |
display: grid;
|
| 813 |
+
grid-template-columns: 220px 1fr;
|
| 814 |
+
gap: 22px;
|
| 815 |
align-items: baseline;
|
| 816 |
+
padding-top: 16px;
|
| 817 |
border-top: 1px solid rgba(167,240,120,0.16);
|
| 818 |
}}
|
| 819 |
.modality-row span {{
|
|
|
|
| 828 |
.modality-row p {{
|
| 829 |
margin: 0;
|
| 830 |
color: #dce8d7;
|
| 831 |
+
font-size: 32px;
|
| 832 |
font-weight: 650;
|
| 833 |
line-height: 1.15;
|
| 834 |
}}
|
|
|
|
| 837 |
grid-template-columns: 1fr auto 1fr auto 1fr auto 1fr;
|
| 838 |
gap: 12px;
|
| 839 |
align-items: center;
|
| 840 |
+
margin-top: 30px;
|
| 841 |
padding: 14px;
|
| 842 |
border: 1px solid rgba(167,240,120,0.22);
|
| 843 |
background: rgba(7,18,7,0.72);
|
|
|
|
| 1075 |
args = parser.parse_args()
|
| 1076 |
|
| 1077 |
summary = load_summary()
|
| 1078 |
+
sample_dir = resolve_sample_dir(args.sample_dir)
|
| 1079 |
+
html_text = build_html(summary, args.base_image, sample_dir)
|
| 1080 |
if args.html is None:
|
| 1081 |
with tempfile.NamedTemporaryFile("w", suffix=".html", encoding="utf-8", delete=False) as handle:
|
| 1082 |
handle.write(html_text)
|