Datasets:

cy0307
/

awesome-egocentric-atlas

@@ -9,6 +9,10 @@ First tagged release. **269 egocentric resources** (102 datasets, 69 benchmarks,
 84 models, 13 toolkits, 1 collection).
 ### Added
 - **Discoverability:** schema.org `DataCatalog` / `Dataset` JSON-LD and a complete
   set of social-meta tags (canonical, Open Graph, Twitter cards) generated into
   the site `<head>` by `build_artifacts.rb` and enforced by `--check`. Surfaces the

 84 models, 13 toolkits, 1 collection).
 ### Added
+- **Milestones:** a curated "landmark works" layer — flagged with `milestone:` in the
+  catalog and generated into both the README and the interactive site (translated in
+  all 8 languages) — from CMU-MMAC (2009) and GTEA through Ego4D, EgoSchema, EgoVLA,
+  and EgoScale's data-scaling law.
 - **Discoverability:** schema.org `DataCatalog` / `Dataset` JSON-LD and a complete
   set of social-meta tags (canonical, Open Graph, Twitter cards) generated into
   the site `<head>` by `build_artifacts.rb` and enforced by `--check`. Surfaces the

app.js CHANGED Viewed

@@ -11,7 +11,8 @@ const LANGS = [
 const I18N = {
   en: {
     skip: "Skip to catalog",
-    "nav.catalog": "Catalog", "nav.lanes": "Lanes", "nav.access": "Access", "nav.readme": "README",
     "hero.lead": "A curated map of first-person AI — the datasets, benchmarks, models, and tools behind egocentric vision, embodied AI and robotics, video-language, long-context memory, AR/VR, and hand-object interaction.",
     "btn.github": "GitHub Repo", "btn.hf": "Hugging Face Mirror", "btn.browse": "Browse Catalog",
     "stat.resources": "egocentric resources", "stat.datasets": "datasets", "stat.benchmarks": "benchmarks", "stat.models": "models", "stat.toolkits": "toolkits",
@@ -36,7 +37,8 @@ const I18N = {
   },
   zh: {
     skip: "跳到目录",
-    "nav.catalog": "目录", "nav.lanes": "方向", "nav.access": "可获取性", "nav.readme": "README",
     "hero.lead": "第一人称 AI 的精选地图——汇集自我中心视觉、具身智能与机器人、视频语言、长上下文记忆、AR/VR 以及手物交互背后的数据集、基准、模型与工具。",
     "btn.github": "GitHub 仓库", "btn.hf": "Hugging Face 镜像", "btn.browse": "浏览目录",
     "stat.resources": "自我中心资源", "stat.datasets": "数据集", "stat.benchmarks": "基准", "stat.models": "模型", "stat.toolkits": "工具包",
@@ -61,7 +63,8 @@ const I18N = {
   },
   es: {
     skip: "Saltar al catálogo",
-    "nav.catalog": "Catálogo", "nav.lanes": "Áreas", "nav.access": "Acceso", "nav.readme": "README",
     "hero.lead": "Un mapa curado de la IA en primera persona: los conjuntos de datos, benchmarks, modelos y herramientas tras la visión egocéntrica, la IA encarnada y la robótica, el aprendizaje visión-lenguaje, la memoria de largo contexto, la RA/RV y la interacción mano-objeto.",
     "btn.github": "Repositorio GitHub", "btn.hf": "Espejo en Hugging Face", "btn.browse": "Explorar catálogo",
     "stat.resources": "recursos egocéntricos", "stat.datasets": "conjuntos de datos", "stat.benchmarks": "benchmarks", "stat.models": "modelos", "stat.toolkits": "herramientas",
@@ -86,7 +89,8 @@ const I18N = {
   },
   fr: {
     skip: "Aller au catalogue",
-    "nav.catalog": "Catalogue", "nav.lanes": "Axes", "nav.access": "Accès", "nav.readme": "README",
     "hero.lead": "Une carte sélective de l'IA à la première personne : les jeux de données, benchmarks, modèles et outils derrière la vision égocentrique, l'IA incarnée et la robotique, l'apprentissage vision-langage, la mémoire à long contexte, la RA/RV et l'interaction main-objet.",
     "btn.github": "Dépôt GitHub", "btn.hf": "Miroir Hugging Face", "btn.browse": "Parcourir le catalogue",
     "stat.resources": "ressources égocentriques", "stat.datasets": "jeux de données", "stat.benchmarks": "benchmarks", "stat.models": "modèles", "stat.toolkits": "outils",
@@ -111,7 +115,8 @@ const I18N = {
   },
   de: {
     skip: "Zum Katalog springen",
-    "nav.catalog": "Katalog", "nav.lanes": "Bereiche", "nav.access": "Zugang", "nav.readme": "README",
     "hero.lead": "Eine kuratierte Karte der First-Person-KI – die Datensätze, Benchmarks, Modelle und Werkzeuge hinter egozentrischem Sehen, verkörperter KI und Robotik, Video-Sprache, Langzeitgedächtnis, AR/VR und Hand-Objekt-Interaktion.",
     "btn.github": "GitHub-Repo", "btn.hf": "Hugging-Face-Spiegel", "btn.browse": "Katalog durchsuchen",
     "stat.resources": "egozentrische Ressourcen", "stat.datasets": "Datensätze", "stat.benchmarks": "Benchmarks", "stat.models": "Modelle", "stat.toolkits": "Toolkits",
@@ -136,7 +141,8 @@ const I18N = {
   },
   ja: {
     skip: "カタログへスキップ",
-    "nav.catalog": "カタログ", "nav.lanes": "研究分野", "nav.access": "アクセス", "nav.readme": "README",
     "hero.lead": "一人称視点 AI の厳選マップ——エゴセントリック視覚、身体性 AI とロボティクス、ビデオ言語、長文脈記憶、AR/VR、手と物体の相互作用を支えるデータセット・ベンチマーク・モデル・ツールを収録。",
     "btn.github": "GitHub リポジトリ", "btn.hf": "Hugging Face ミラー", "btn.browse": "カタログを見る",
     "stat.resources": "エゴセントリック資源", "stat.datasets": "データセット", "stat.benchmarks": "ベンチマーク", "stat.models": "モデル", "stat.toolkits": "ツールキット",
@@ -161,7 +167,8 @@ const I18N = {
   },
   ko: {
     skip: "카탈로그로 건너뛰기",
-    "nav.catalog": "카탈로그", "nav.lanes": "연구 분야", "nav.access": "접근성", "nav.readme": "README",
     "hero.lead": "1인칭 AI의 엄선된 지도 — 자기중심 비전, 체화 AI와 로보틱스, 비디오-언어, 장문맥 기억, AR/VR, 손-물체 상호작용을 뒷받침하는 데이터셋·벤치마크·모델·도구를 담았습니다.",
     "btn.github": "GitHub 저장소", "btn.hf": "Hugging Face 미러", "btn.browse": "카탈로그 보기",
     "stat.resources": "자기중심 자원", "stat.datasets": "데이터셋", "stat.benchmarks": "벤치마크", "stat.models": "모델", "stat.toolkits": "툴킷",
@@ -186,7 +193,8 @@ const I18N = {
   },
   pt: {
     skip: "Ir para o catálogo",
-    "nav.catalog": "Catálogo", "nav.lanes": "Áreas", "nav.access": "Acesso", "nav.readme": "README",
     "hero.lead": "Um mapa curado da IA em primeira pessoa: os conjuntos de dados, benchmarks, modelos e ferramentas por trás da visão egocêntrica, da IA incorporada e da robótica, da aprendizagem visão-linguagem, da memória de longo contexto, da RA/RV e da interação mão-objeto.",
     "btn.github": "Repositório GitHub", "btn.hf": "Espelho Hugging Face", "btn.browse": "Explorar catálogo",
     "stat.resources": "recursos egocêntricos", "stat.datasets": "conjuntos de dados", "stat.benchmarks": "benchmarks", "stat.models": "modelos", "stat.toolkits": "ferramentas",
@@ -289,6 +297,7 @@ const els = {
   clear: document.querySelector("#clear-filters"),
   summary: document.querySelector("#catalog-summary"),
   lanes: document.querySelector("#lane-grid"),
   statuses: document.querySelector("#status-list"),
   empty: document.querySelector("#empty-state"),
   langBar: document.querySelector("#lang-bar")
@@ -550,6 +559,25 @@ function bindFilters() {
   });
 }
 async function init() {
   applyStaticI18n();
   buildLangBar();
@@ -557,6 +585,7 @@ async function init() {
   state.data = await response.json();
   renderStats();
   renderSummary();
   renderFilters();
   renderLanes();
   renderStatuses();

 const I18N = {
   en: {
     skip: "Skip to catalog",
+    "nav.catalog": "Catalog", "nav.lanes": "Lanes", "nav.access": "Access", "nav.readme": "README", "nav.milestones": "Milestones",
+    "milestones.title": "Milestones", "milestones.desc": "The landmark works that shaped egocentric AI — from the field's origins to its current frontier.",
     "hero.lead": "A curated map of first-person AI — the datasets, benchmarks, models, and tools behind egocentric vision, embodied AI and robotics, video-language, long-context memory, AR/VR, and hand-object interaction.",
     "btn.github": "GitHub Repo", "btn.hf": "Hugging Face Mirror", "btn.browse": "Browse Catalog",
     "stat.resources": "egocentric resources", "stat.datasets": "datasets", "stat.benchmarks": "benchmarks", "stat.models": "models", "stat.toolkits": "toolkits",
   },
   zh: {
     skip: "跳到目录",
+    "nav.catalog": "目录", "nav.lanes": "方向", "nav.access": "可获取性", "nav.readme": "README", "nav.milestones": "里程碑",
+    "milestones.title": "里程碑", "milestones.desc": "塑造自我中心 AI 的里程碑工作——从领域起源到当前前沿。",
     "hero.lead": "第一人称 AI 的精选地图——汇集自我中心视觉、具身智能与机器人、视频语言、长上下文记忆、AR/VR 以及手物交互背后的数据集、基准、模型与工具。",
     "btn.github": "GitHub 仓库", "btn.hf": "Hugging Face 镜像", "btn.browse": "浏览目录",
     "stat.resources": "自我中心资源", "stat.datasets": "数据集", "stat.benchmarks": "基准", "stat.models": "模型", "stat.toolkits": "工具包",
   },
   es: {
     skip: "Saltar al catálogo",
+    "nav.catalog": "Catálogo", "nav.lanes": "Áreas", "nav.access": "Acceso", "nav.readme": "README", "nav.milestones": "Hitos",
+    "milestones.title": "Hitos", "milestones.desc": "Los trabajos de referencia que dieron forma a la IA egocéntrica, desde sus orígenes hasta la frontera actual.",
     "hero.lead": "Un mapa curado de la IA en primera persona: los conjuntos de datos, benchmarks, modelos y herramientas tras la visión egocéntrica, la IA encarnada y la robótica, el aprendizaje visión-lenguaje, la memoria de largo contexto, la RA/RV y la interacción mano-objeto.",
     "btn.github": "Repositorio GitHub", "btn.hf": "Espejo en Hugging Face", "btn.browse": "Explorar catálogo",
     "stat.resources": "recursos egocéntricos", "stat.datasets": "conjuntos de datos", "stat.benchmarks": "benchmarks", "stat.models": "modelos", "stat.toolkits": "herramientas",
   },
   fr: {
     skip: "Aller au catalogue",
+    "nav.catalog": "Catalogue", "nav.lanes": "Axes", "nav.access": "Accès", "nav.readme": "README", "nav.milestones": "Jalons",
+    "milestones.title": "Jalons", "milestones.desc": "Les travaux marquants qui ont façonné l'IA égocentrique, des origines du domaine à sa frontière actuelle.",
     "hero.lead": "Une carte sélective de l'IA à la première personne : les jeux de données, benchmarks, modèles et outils derrière la vision égocentrique, l'IA incarnée et la robotique, l'apprentissage vision-langage, la mémoire à long contexte, la RA/RV et l'interaction main-objet.",
     "btn.github": "Dépôt GitHub", "btn.hf": "Miroir Hugging Face", "btn.browse": "Parcourir le catalogue",
     "stat.resources": "ressources égocentriques", "stat.datasets": "jeux de données", "stat.benchmarks": "benchmarks", "stat.models": "modèles", "stat.toolkits": "outils",
   },
   de: {
     skip: "Zum Katalog springen",
+    "nav.catalog": "Katalog", "nav.lanes": "Bereiche", "nav.access": "Zugang", "nav.readme": "README", "nav.milestones": "Meilensteine",
+    "milestones.title": "Meilensteine", "milestones.desc": "Die wegweisenden Arbeiten, die egozentrische KI geprägt haben – von den Ursprüngen bis zur aktuellen Front.",
     "hero.lead": "Eine kuratierte Karte der First-Person-KI – die Datensätze, Benchmarks, Modelle und Werkzeuge hinter egozentrischem Sehen, verkörperter KI und Robotik, Video-Sprache, Langzeitgedächtnis, AR/VR und Hand-Objekt-Interaktion.",
     "btn.github": "GitHub-Repo", "btn.hf": "Hugging-Face-Spiegel", "btn.browse": "Katalog durchsuchen",
     "stat.resources": "egozentrische Ressourcen", "stat.datasets": "Datensätze", "stat.benchmarks": "Benchmarks", "stat.models": "Modelle", "stat.toolkits": "Toolkits",
   },
   ja: {
     skip: "カタログへスキップ",
+    "nav.catalog": "カタログ", "nav.lanes": "研究分野", "nav.access": "アクセス", "nav.readme": "README", "nav.milestones": "マイルストーン",
+    "milestones.title": "マイルストーン", "milestones.desc": "エゴセントリック AI を形づくった画期的な研究——分野の起源から最前線まで。",
     "hero.lead": "一人称視点 AI の厳選マップ——エゴセントリック視覚、身体性 AI とロボティクス、ビデオ言語、長文脈記憶、AR/VR、手と物体の相互作用を支えるデータセット・ベンチマーク・モデル・ツールを収録。",
     "btn.github": "GitHub リポジトリ", "btn.hf": "Hugging Face ミラー", "btn.browse": "カタログを見る",
     "stat.resources": "エゴセントリック資源", "stat.datasets": "データセット", "stat.benchmarks": "ベンチマーク", "stat.models": "モデル", "stat.toolkits": "ツールキット",
   },
   ko: {
     skip: "카탈로그로 건너뛰기",
+    "nav.catalog": "카탈로그", "nav.lanes": "연구 분야", "nav.access": "접근성", "nav.readme": "README", "nav.milestones": "이정표",
+    "milestones.title": "이정표", "milestones.desc": "자기중심 AI를 형성한 획기적 연구 — 분야의 기원부터 현재 최전선까지.",
     "hero.lead": "1인칭 AI의 엄선된 지도 — 자기중심 비전, 체화 AI와 로보틱스, 비디오-언어, 장문맥 기억, AR/VR, 손-물체 상호작용을 뒷받침하는 데이터셋·벤치마크·모델·도구를 담았습니다.",
     "btn.github": "GitHub 저장소", "btn.hf": "Hugging Face 미러", "btn.browse": "카탈로그 보기",
     "stat.resources": "자기중심 자원", "stat.datasets": "데이터셋", "stat.benchmarks": "벤치마크", "stat.models": "모델", "stat.toolkits": "툴킷",
   },
   pt: {
     skip: "Ir para o catálogo",
+    "nav.catalog": "Catálogo", "nav.lanes": "Áreas", "nav.access": "Acesso", "nav.readme": "README", "nav.milestones": "Marcos",
+    "milestones.title": "Marcos", "milestones.desc": "Os trabalhos marcantes que moldaram a IA egocêntrica — das origens do campo à sua fronteira atual.",
     "hero.lead": "Um mapa curado da IA em primeira pessoa: os conjuntos de dados, benchmarks, modelos e ferramentas por trás da visão egocêntrica, da IA incorporada e da robótica, da aprendizagem visão-linguagem, da memória de longo contexto, da RA/RV e da interação mão-objeto.",
     "btn.github": "Repositório GitHub", "btn.hf": "Espelho Hugging Face", "btn.browse": "Explorar catálogo",
     "stat.resources": "recursos egocêntricos", "stat.datasets": "conjuntos de dados", "stat.benchmarks": "benchmarks", "stat.models": "modelos", "stat.toolkits": "ferramentas",
   clear: document.querySelector("#clear-filters"),
   summary: document.querySelector("#catalog-summary"),
   lanes: document.querySelector("#lane-grid"),
+  milestones: document.querySelector("#milestone-grid"),
   statuses: document.querySelector("#status-list"),
   empty: document.querySelector("#empty-state"),
   langBar: document.querySelector("#lang-bar")
   });
 }
+function renderMilestones() {
+  if (!els.milestones) return;
+  const items = state.data.milestones || [];
+  els.milestones.replaceChildren();
+  items.forEach((m) => {
+    const li = document.createElement("li");
+    li.className = "milestone";
+    li.innerHTML = `
+      <span class="milestone-year">${escapeHtml(m.year)}</span>
+      <div class="milestone-body">
+        <a class="milestone-name" href="${escapeHtml(m.url)}">${escapeHtml(m.name)}</a>
+        <span class="chip">${escapeHtml(titleize(m.kind))}</span>
+        <p class="milestone-note">${escapeHtml(m.note)}</p>
+      </div>
+    `;
+    els.milestones.appendChild(li);
+  });
+}
 async function init() {
   applyStaticI18n();
   buildLangBar();
   state.data = await response.json();
   renderStats();
   renderSummary();
+  renderMilestones();
   renderFilters();
   renderLanes();
   renderStatuses();

data/resources.yml CHANGED Viewed

@@ -42,6 +42,8 @@ resources:
     license: cc-by-nc-4.0
   - name: Ego4D
     kind: dataset
     released: "2021-10"
     venue: "CVPR 2022"
@@ -57,6 +59,8 @@ resources:
     verified_at: "2026-06-15"
   - name: Ego-Exo4D
     kind: dataset
     released: "2023-11"
     venue: "CVPR 2024"
@@ -72,6 +76,8 @@ resources:
     verified_at: "2026-06-15"
   - name: EPIC-KITCHENS-100
     kind: dataset
     released: "2020-06"
     venue: "IJCV 2022"
@@ -389,6 +395,8 @@ resources:
     tasks: [3d-action-target-prediction, hri, anticipation, manipulation-safety]
   - name: HOT3D
     kind: dataset
     released: "2024-06"
     venue: "CVPR 2025"
@@ -583,6 +591,8 @@ resources:
     tasks: [single-object-tracking]
   - name: Project Aria Datasets
     kind: collection
     released: "2022"
     venue: "project page"
@@ -670,6 +680,8 @@ resources:
     tasks: [expert-trainee-assistance, egocentric-vqa]
   - name: EgoSchema
     kind: benchmark
     released: "2023-08"
     venue: "NeurIPS 2023"
@@ -989,6 +1001,8 @@ resources:
     release_note: Accepted to ISMAR 2025 as TVCG journal paper
   - name: GTEA / GTEA Gaze / EGTEA Gaze+
     kind: dataset
     released: "2018"
     venue: "project page"
@@ -1130,6 +1144,8 @@ resources:
     tasks: [3d-fields, spatial-reasoning]
   - name: EgoVLP
     kind: model
     released: "2022-06"
     venue: "NeurIPS 2022"
@@ -1350,6 +1366,8 @@ resources:
     tasks: [foundation-video, video-language]
   - name: EgoVLA
     kind: model
     released: "2025"
     venue: "project page"
@@ -2117,6 +2135,8 @@ resources:
     citation_key: egoavu_2026
   - name: EgoScale
     kind: dataset
     released: "2026-02"
     venue: "arXiv"
@@ -3389,6 +3409,8 @@ resources:
     citation_key: neck_gaze_glc_2026
   - name: CMU-MMAC
     kind: dataset
     released: "2009"
     venue: "CMU tech report 2009"

     license: cc-by-nc-4.0
   - name: Ego4D
+    milestone: 2021
+    milestone_note: "The 3,670-hour massive-scale benchmark suite that catalyzed the modern egocentric era."
     kind: dataset
     released: "2021-10"
     venue: "CVPR 2022"
     verified_at: "2026-06-15"
   - name: Ego-Exo4D
+    milestone: 2023
+    milestone_note: "Synchronized ego and exo skilled-activity capture at scale; the reference for cross-view egocentric learning."
     kind: dataset
     released: "2023-11"
     venue: "CVPR 2024"
     verified_at: "2026-06-15"
   - name: EPIC-KITCHENS-100
+    milestone: 2020
+    milestone_note: "The defining large-scale egocentric action-recognition benchmark and annual challenge suite."
     kind: dataset
     released: "2020-06"
     venue: "IJCV 2022"
     tasks: [3d-action-target-prediction, hri, anticipation, manipulation-safety]
   - name: HOT3D
+    milestone: 2024
+    milestone_note: "Reference benchmark for 3D hand-object tracking from AR glasses (Project Aria and Quest 3)."
     kind: dataset
     released: "2024-06"
     venue: "CVPR 2025"
     tasks: [single-object-tracking]
   - name: Project Aria Datasets
+    milestone: 2022
+    milestone_note: "Meta's research smart-glasses platform that opened the modern wave of AR and wearable egocentric data."
     kind: collection
     released: "2022"
     venue: "project page"
     tasks: [expert-trainee-assistance, egocentric-vqa]
   - name: EgoSchema
+    milestone: 2023
+    milestone_note: "The benchmark that exposed how far models are from long-form egocentric video reasoning."
     kind: benchmark
     released: "2023-08"
     venue: "NeurIPS 2023"
     release_note: Accepted to ISMAR 2025 as TVCG journal paper
   - name: GTEA / GTEA Gaze / EGTEA Gaze+
+    milestone: 2011
+    milestone_note: "Foundational hand-object and gaze egocentric activity datasets (GTEA, 2011) that seeded first-person action and attention research."
     kind: dataset
     released: "2018"
     venue: "project page"
     tasks: [3d-fields, spatial-reasoning]
   - name: EgoVLP
+    milestone: 2022
+    milestone_note: "First egocentric video-language pretraining (EgoClip, EgoNCE) and a basis for ego representation learning."
     kind: model
     released: "2022-06"
     venue: "NeurIPS 2022"
     tasks: [foundation-video, video-language]
   - name: EgoVLA
+    milestone: 2025
+    milestone_note: "Showed vision-language-action policies can be learned from egocentric human video and transferred to robots."
     kind: model
     released: "2025"
     venue: "project page"
     citation_key: egoavu_2026
   - name: EgoScale
+    milestone: 2026
+    milestone_note: "Revealed the log-linear data-scaling law for egocentric human-video VLA pretraining."
     kind: dataset
     released: "2026-02"
     venue: "arXiv"
     citation_key: neck_gaze_glc_2026
   - name: CMU-MMAC
+    milestone: 2009
+    milestone_note: "The earliest egocentric dataset; launched first-person activity recognition at the first IEEE Workshop on Egocentric Vision (CVPR 2009)."
     kind: dataset
     released: "2009"
     venue: "CMU tech report 2009"

index.html CHANGED Viewed

@@ -784,6 +784,7 @@
       </a>
       <nav class="nav-links" aria-label="Primary navigation">
         <a href="#catalog" data-i18n="nav.catalog">Catalog</a>
         <a href="#lanes" data-i18n="nav.lanes">Lanes</a>
         <a href="#access" data-i18n="nav.access">Access</a>
         <a href="https://github.com/ChaoYue0307/awesome-egocentric-atlas#readme" data-i18n="nav.readme">README</a>
@@ -841,6 +842,16 @@
         <img src="assets/awesome-egocentric-atlas-map.png" alt="Awesome Egocentric Atlas system map">
       </section>
       <section class="section" id="catalog">
         <div class="section-heading">
           <div>

       </a>
       <nav class="nav-links" aria-label="Primary navigation">
         <a href="#catalog" data-i18n="nav.catalog">Catalog</a>
+        <a href="#milestones" data-i18n="nav.milestones">Milestones</a>
         <a href="#lanes" data-i18n="nav.lanes">Lanes</a>
         <a href="#access" data-i18n="nav.access">Access</a>
         <a href="https://github.com/ChaoYue0307/awesome-egocentric-atlas#readme" data-i18n="nav.readme">README</a>
         <img src="assets/awesome-egocentric-atlas-map.png" alt="Awesome Egocentric Atlas system map">
       </section>
+      <section class="section milestones" id="milestones">
+        <div class="section-heading">
+          <div>
+            <h2 data-i18n="milestones.title">Milestones</h2>
+            <p data-i18n="milestones.desc">The landmark works that shaped egocentric AI — from the field's origins to its current frontier.</p>
+          </div>
+        </div>
+        <ol class="milestone-grid" id="milestone-grid"></ol>
+      </section>
       <section class="section" id="catalog">
         <div class="section-heading">
           <div>

scripts/lib/catalog_artifacts.rb CHANGED Viewed

@@ -149,6 +149,29 @@ module CatalogArtifacts
     end
   end
   def site_payload
     catalog_data = catalog
     normalized = site_resources
@@ -164,6 +187,7 @@ module CatalogArtifacts
       },
       "summary" => summary(normalized),
       "lanes" => lane_payload(normalized),
       "resources" => normalized
     }
   end
@@ -236,6 +260,12 @@ module CatalogArtifacts
     replace_once!(text, %r{badge/resources-\d+-}, "badge/resources-#{summary_data.fetch('egocentric_resources')}-", "README resources badge")
     replace_once!(text, /\*\*Updated:\*\*\s*\d{4}-\d{2}-\d{2}\./, "**Updated:** #{meta.fetch('last_major_audit')}.", "README updated date")
     replace_once!(text, /^\| \d+ egocentric resources \| .+ \|$/, "| #{at_a_glance_sentence(summary_data)} |", "README at-a-glance row")
     text
   end

     end
   end
+  # Field-defining works, flagged with `milestone: <year>` + `milestone_note`
+  # in the catalog. Ordered chronologically by the milestone year.
+  def milestones
+    resources.select { |entry| entry["milestone"] }
+      .sort_by { |entry| [entry["milestone"].to_i, entry["name"].to_s] }
+      .map do |entry|
+        {
+          "name" => entry["name"],
+          "kind" => entry["kind"],
+          "url" => entry["url"],
+          "year" => entry["milestone"],
+          "note" => entry["milestone_note"]
+        }
+      end
+  end
+  def milestones_markdown(items = milestones)
+    rows = items.map do |m|
+      "| #{m['year']} | [#{m['name']}](#{m['url']}) | #{m['note']} |"
+    end
+    (["| Year | Milestone | Why it matters |", "| :---: | :--- | :--- |"] + rows).join("\n")
+  end
   def site_payload
     catalog_data = catalog
     normalized = site_resources
       },
       "summary" => summary(normalized),
       "lanes" => lane_payload(normalized),
+      "milestones" => milestones,
       "resources" => normalized
     }
   end
     replace_once!(text, %r{badge/resources-\d+-}, "badge/resources-#{summary_data.fetch('egocentric_resources')}-", "README resources badge")
     replace_once!(text, /\*\*Updated:\*\*\s*\d{4}-\d{2}-\d{2}\./, "**Updated:** #{meta.fetch('last_major_audit')}.", "README updated date")
     replace_once!(text, /^\| \d+ egocentric resources \| .+ \|$/, "| #{at_a_glance_sentence(summary_data)} |", "README at-a-glance row")
+    replace_once!(
+      text,
+      /(<!-- MILESTONES:START[^>]*-->).*?(<!-- MILESTONES:END -->)/m,
+      ->(m) { "#{m[1]}\n\n#{milestones_markdown}\n\n#{m[2]}" },
+      "README milestones section"
+    )
     text
   end

site-data.json CHANGED Viewed

@@ -101,6 +101,85 @@
       "count": 66
     }
   ],
   "resources": [
     {
       "name": "Xperience-10M",

       "count": 66
     }
   ],
+  "milestones": [
+    {
+      "name": "CMU-MMAC",
+      "kind": "dataset",
+      "url": "http://kitchen.cs.cmu.edu/",
+      "year": 2009,
+      "note": "The earliest egocentric dataset; launched first-person activity recognition at the first IEEE Workshop on Egocentric Vision (CVPR 2009)."
+    },
+    {
+      "name": "GTEA / GTEA Gaze / EGTEA Gaze+",
+      "kind": "dataset",
+      "url": "https://cbs.ic.gatech.edu/fpv/",
+      "year": 2011,
+      "note": "Foundational hand-object and gaze egocentric activity datasets (GTEA, 2011) that seeded first-person action and attention research."
+    },
+    {
+      "name": "EPIC-KITCHENS-100",
+      "kind": "dataset",
+      "url": "https://epic-kitchens.github.io/",
+      "year": 2020,
+      "note": "The defining large-scale egocentric action-recognition benchmark and annual challenge suite."
+    },
+    {
+      "name": "Ego4D",
+      "kind": "dataset",
+      "url": "https://ego4d-data.org/",
+      "year": 2021,
+      "note": "The 3,670-hour massive-scale benchmark suite that catalyzed the modern egocentric era."
+    },
+    {
+      "name": "EgoVLP",
+      "kind": "model",
+      "url": "https://github.com/showlab/EgoVLP",
+      "year": 2022,
+      "note": "First egocentric video-language pretraining (EgoClip, EgoNCE) and a basis for ego representation learning."
+    },
+    {
+      "name": "Project Aria Datasets",
+      "kind": "collection",
+      "url": "https://www.projectaria.com/datasets/",
+      "year": 2022,
+      "note": "Meta's research smart-glasses platform that opened the modern wave of AR and wearable egocentric data."
+    },
+    {
+      "name": "Ego-Exo4D",
+      "kind": "dataset",
+      "url": "https://ego-exo4d-data.org/",
+      "year": 2023,
+      "note": "Synchronized ego and exo skilled-activity capture at scale; the reference for cross-view egocentric learning."
+    },
+    {
+      "name": "EgoSchema",
+      "kind": "benchmark",
+      "url": "http://egoschema.github.io/",
+      "year": 2023,
+      "note": "The benchmark that exposed how far models are from long-form egocentric video reasoning."
+    },
+    {
+      "name": "HOT3D",
+      "kind": "dataset",
+      "url": "https://facebookresearch.github.io/hot3d/",
+      "year": 2024,
+      "note": "Reference benchmark for 3D hand-object tracking from AR glasses (Project Aria and Quest 3)."
+    },
+    {
+      "name": "EgoVLA",
+      "kind": "model",
+      "url": "https://rchalyang.github.io/EgoVLA/",
+      "year": 2025,
+      "note": "Showed vision-language-action policies can be learned from egocentric human video and transferred to robots."
+    },
+    {
+      "name": "EgoScale",
+      "kind": "dataset",
+      "url": "https://arxiv.org/abs/2602.16710",
+      "year": 2026,
+      "note": "Revealed the log-linear data-scaling law for egocentric human-video VLA pretraining."
+    }
+  ],
   "resources": [
     {
       "name": "Xperience-10M",

styles.css CHANGED Viewed

@@ -559,6 +559,65 @@ tbody tr:hover {
   gap: 14px;
 }
 .lane-card {
   position: relative;
   min-height: 168px;

   gap: 14px;
 }
+.milestone-grid {
+  list-style: none;
+  margin: 0;
+  padding: 0;
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(272px, 1fr));
+  gap: 14px;
+}
+.milestone {
+  display: flex;
+  gap: 14px;
+  padding: 16px 18px;
+  border: 1px solid var(--line);
+  border-radius: var(--radius);
+  background: var(--paper);
+  box-shadow: var(--shadow);
+}
+.milestone-year {
+  flex: 0 0 auto;
+  align-self: flex-start;
+  font-weight: 820;
+  font-size: 14px;
+  color: var(--teal);
+  background: rgba(6, 120, 130, 0.09);
+  border-radius: 999px;
+  padding: 4px 11px;
+  font-variant-numeric: tabular-nums;
+}
+.milestone-body {
+  display: grid;
+  gap: 6px;
+  align-content: start;
+}
+.milestone-name {
+  color: var(--ink);
+  font-weight: 760;
+  font-size: 15px;
+  text-decoration: none;
+}
+.milestone-name:hover {
+  color: var(--teal);
+}
+.milestone .chip {
+  justify-self: start;
+}
+.milestone-note {
+  margin: 0;
+  color: var(--muted);
+  font-size: 13px;
+  line-height: 1.5;
+}
 .lane-card {
   position: relative;
   min-height: 168px;