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awesome-egocentric-atlas

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egocentric-vision
first-person-video
embodied-ai
robot-learning
video-language
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awesome-egocentric-atlas / app.js
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/* ----------------------------------------------------------------------------
 * Internationalization
 * Static UI strings are translated below; catalogue data (resource names,
 * scale text, technical tags) stays in English.
 * -------------------------------------------------------------------------- */
const LANGS = [
 ["en", "English"], ["zh", "中文"], ["es", "Español"], ["fr", "Français"],
 ["de", "Deutsch"], ["ja", "日本語"], ["ko", "한국어"], ["pt", "Português"]
];
const I18N = {
 en: {
 skip: "Skip to catalog",
 "language.label": "Language",
 "nav.catalog": "Catalog", "nav.navigator": "Find", "nav.lanes": "Areas", "nav.access": "Access", "nav.readme": "README", "nav.milestones": "Milestones", "nav.menu": "Menu",
 "milestones.title": "Milestones", "milestones.desc": "Representative works to read first, from early egocentric activity datasets to recent models and large-scale corpora.",
 "navigator.title": "Find Resources", "navigator.desc": "Use task, modality, lineage, and access summaries to narrow the catalog quickly.", "navigator.catalog": "Open catalog",
 "navigator.tasks": "Common Tasks", "navigator.tasks.desc": "Frequent problem settings in the catalog.",
 "navigator.modalities": "Modalities", "navigator.modalities.desc": "Sensor and annotation types you can filter by.",
 "navigator.lineage": "Dataset Lineages", "navigator.lineage.desc": "Dataset families that many papers and tools build on.",
 "hero.lead": "Explore a curated collection of datasets, benchmarks, models, and tools for egocentric vision, embodied AI, robotics, VLA, world models, WMA, memory, AR/VR, and hand-object interaction.",
 "btn.github": "GitHub Repo", "btn.hf": "Hugging Face Mirror", "btn.browse": "Browse Catalog", "btn.share": "Share Atlas",
 "stat.resources": "egocentric resources", "stat.datasets": "datasets", "stat.benchmarks": "benchmarks", "stat.models": "models", "stat.toolkits": "toolkits",
 "proof.1": "Datasets, benchmarks, models & tools", "proof.2": "Filter by task, status, and date", "proof.3": "Open access, MIT licensed",
 "media.caption": "Egocentric AI research resources",
 "catalog.title": "Catalog", "catalog.desc": "Filter by name, task, modality, status, kind, or research area.", "catalog.openyaml": "Open YAML",
 "filter.search": "Search", "filter.kind": "Kind", "filter.status": "Status", "filter.lane": "Area", "filter.reset": "Reset",
 "filter.allkinds": "All kinds", "filter.allstatuses": "All statuses", "filter.alllanes": "All areas",
 "search.placeholder": "Ego4D, VLA, hand pose, memory...",
 "th.resource": "Resource", "th.kind": "Kind", "th.released": "Released", "th.status": "Status", "th.signal": "Scale / Signal",
 loading: "Loading catalog...", "note.default": "Newest matches first",
 "count.matching": "{n} matching resources", "note.showing": "Showing newest {a} of {b}", "note.showingall": "Showing all {a}",
 "empty.title": "No resources match those filters.", "empty.hint": "Try a broader search, remove an area, or reset the filters.",
 "lanes.title": "Research Areas", "lanes.desc": "Six entry points for the main ways people use egocentric data.", "lanes.taxonomy": "Taxonomy",
 "access.title": "Access Status", "access.desc": "Check what is downloadable, request-only, benchmark-only, partial, or still unverified before planning experiments.",
 "maintain.title": "Add a Resource", "maintain.desc": "Missing a resource? Open a short issue with the source, access status, and license notes.", "maintain.add": "Add Resource",
 "maintain.contributing": "Contributing guide", "maintain.schema": "Resource schema", "maintain.status": "Status policy", "maintain.workflow": "Maintenance workflow",
 "summary.total": "Total catalog", "summary.inscope": "In scope", "summary.adjacent": "Adjacent", "summary.open": "Open today", "summary.watch": "Watchlist", "summary.audit": "Last audit",
 "footer.tagline": "MIT licensed and free to use. Contributions welcome.", "footer.feed": "Updates feed", "footer.cite": "Cite the atlas",
 "share.copied": "Atlas link copied.", "share.failed": "Unable to share this page.",
 "error.load": "Catalog failed to load", updated: "Updated {date}"
 },
 zh: {
 skip: "跳到目录",
 "language.label": "语言",
 "nav.catalog": "目录", "nav.navigator": "查找", "nav.lanes": "方向", "nav.access": "可获取性", "nav.readme": "README", "nav.milestones": "里程碑", "nav.menu": "菜单",
 "milestones.title": "里程碑", "milestones.desc": "优先阅读的代表性工作：从早期自我中心活动数据集到近期模型和大规模语料。",
 "navigator.title": "查找资源", "navigator.desc": "用任务、模态、谱系和获取状态快速缩小目录范围。", "navigator.catalog": "打开目录",
 "navigator.tasks": "常见任务", "navigator.tasks.desc": "目录中常见的问题设置。",
 "navigator.modalities": "模态", "navigator.modalities.desc": "可用于筛选的传感器和标注类型。",
 "navigator.lineage": "数据集谱系", "navigator.lineage.desc": "许多论文和工具基于的数据集家族。",
 "hero.lead": "查找用于自我中心视觉、具身智能与机器人、视频语言、长上下文记忆、AR/VR 和手物交互的数据集、基准、模型与工具。",
 "btn.github": "GitHub 仓库", "btn.hf": "Hugging Face 镜像", "btn.browse": "浏览目录", "btn.share": "分享图谱",
 "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",
 "proof.1": "数据集、基准、模型与工具", "proof.2": "按任务、状态与日期筛选", "proof.3": "开放获取，MIT 许可",
 "media.caption": "第一人称研究资源",
 "catalog.title": "目录", "catalog.desc": "按名称、任务、模态、状态、类型或研究方向筛选。", "catalog.openyaml": "打开 YAML",
 "filter.search": "搜索", "filter.kind": "类型", "filter.status": "状态", "filter.lane": "方向", "filter.reset": "重置",
 "filter.allkinds": "全部类型", "filter.allstatuses": "全部状态", "filter.alllanes": "全部方向",
 "search.placeholder": "Ego4D、VLA、手部姿态、记忆……",
 "th.resource": "资源", "th.kind": "类型", "th.released": "发布", "th.status": "状态", "th.signal": "规模 / 信号",
 loading: "正在加载目录……", "note.default": "最新优先",
 "count.matching": "{n} 个匹配资源", "note.showing": "显示最新 {a} / 共 {b}", "note.showingall": "共显示 {a} 个",
 "empty.title": "没有资源符合这些筛选条件。", "empty.hint": "尝试更宽泛的搜索、移除某个方向，或重置筛选。",
 "lanes.title": "研究方向", "lanes.desc": "六个入口，覆盖使用自我中心数据的主要方式。", "lanes.taxonomy": "分类体系",
 "access.title": "获取状态", "access.desc": "规划实验前，先确认资源是可下载、需申请、仅基准、部分公开，还是尚待核实。",
 "maintain.title": "添加资源", "maintain.desc": "缺少资源？请提交简短 issue，并附上来源、获取状态和许可证说明。", "maintain.add": "添加资源",
 "maintain.contributing": "贡献指南", "maintain.schema": "资源结构", "maintain.status": "状态政策", "maintain.workflow": "维护流程",
 "summary.total": "目录总数", "summary.inscope": "范围内", "summary.adjacent": "相邻", "summary.open": "今日可用", "summary.watch": "关注列表", "summary.audit": "上次审核",
 "footer.tagline": "MIT 许可，免费使用，欢迎贡献。", "footer.feed": "更新订阅", "footer.cite": "引用图谱",
 "share.copied": "已复制图谱链接。", "share.failed": "无法分享此页面。",
 "error.load": "目录加载失败", updated: "更新于 {date}"
 },
 es: {
 skip: "Saltar al catálogo",
 "language.label": "Idioma",
 "nav.catalog": "Catálogo", "nav.navigator": "Buscar", "nav.lanes": "Áreas", "nav.access": "Acceso", "nav.readme": "README", "nav.milestones": "Hitos", "nav.menu": "Menú",
 "milestones.title": "Hitos", "milestones.desc": "Trabajos representativos para leer primero, desde los primeros conjuntos egocéntricos de actividad hasta modelos y corpus recientes a gran escala.",
 "navigator.title": "Encontrar recursos", "navigator.desc": "Usa resúmenes de tarea, modalidad, linaje y acceso para acotar el catálogo rápidamente.", "navigator.catalog": "Abrir catálogo",
 "navigator.tasks": "Tareas comunes", "navigator.tasks.desc": "Configuraciones de problema frecuentes en el catálogo.",
 "navigator.modalities": "Modalidades", "navigator.modalities.desc": "Sensores y tipos de anotación por los que puedes filtrar.",
 "navigator.lineage": "Linajes de datos", "navigator.lineage.desc": "Familias de datos en las que se basan muchos artículos y herramientas.",
 "hero.lead": "Encuentra conjuntos de datos, benchmarks, modelos y herramientas para visión egocéntrica, IA encarnada y robótica, video-lenguaje, memoria de largo contexto, RA/RV e interacción mano-objeto.",
 "btn.github": "Repositorio GitHub", "btn.hf": "Espejo en Hugging Face", "btn.browse": "Explorar catálogo", "btn.share": "Compartir atlas",
 "stat.resources": "recursos egocéntricos", "stat.datasets": "conjuntos de datos", "stat.benchmarks": "benchmarks", "stat.models": "modelos", "stat.toolkits": "herramientas",
 "proof.1": "Datos, benchmarks, modelos y herramientas", "proof.2": "Filtra por tarea, estado y fecha", "proof.3": "Acceso abierto, licencia MIT",
 "media.caption": "Recursos de investigación en primera persona",
 "catalog.title": "Catálogo", "catalog.desc": "Filtra por nombre, tarea, modalidad, estado, tipo o área de investigación.", "catalog.openyaml": "Abrir YAML",
 "filter.search": "Buscar", "filter.kind": "Tipo", "filter.status": "Estado", "filter.lane": "Área", "filter.reset": "Restablecer",
 "filter.allkinds": "Todos los tipos", "filter.allstatuses": "Todos los estados", "filter.alllanes": "Todas las áreas",
 "search.placeholder": "Ego4D, VLA, pose de mano, memoria...",
 "th.resource": "Recurso", "th.kind": "Tipo", "th.released": "Publicado", "th.status": "Estado", "th.signal": "Escala / señal",
 loading: "Cargando catálogo...", "note.default": "Primero los más recientes",
 "count.matching": "{n} recursos coincidentes", "note.showing": "Mostrando los {a} más recientes de {b}", "note.showingall": "Mostrando los {a}",
 "empty.title": "Ningún recurso coincide con esos filtros.", "empty.hint": "Prueba una búsqueda más amplia, quita un área o restablece los filtros.",
 "lanes.title": "Áreas de investigación", "lanes.desc": "Seis puntos de entrada a las formas principales de usar datos egocéntricos.", "lanes.taxonomy": "Taxonomía",
 "access.title": "Estado de acceso", "access.desc": "Comprueba qué se puede descargar, qué requiere solicitud, qué es solo benchmark, parcial o aún no verificado antes de planificar experimentos.",
 "maintain.title": "Añadir un recurso", "maintain.desc": "¿Falta un recurso? Abre una breve incidencia con la fuente, el estado de acceso y las notas de licencia.", "maintain.add": "Añadir recurso",
 "maintain.contributing": "Guía de contribución", "maintain.schema": "Esquema de recursos", "maintain.status": "Política de estados", "maintain.workflow": "Flujo de mantenimiento",
 "summary.total": "Catálogo total", "summary.inscope": "En alcance", "summary.adjacent": "Adyacentes", "summary.open": "Abiertos hoy", "summary.watch": "Lista de seguimiento", "summary.audit": "Última revisión",
 "footer.tagline": "Licencia MIT y de uso libre. Contribuciones bienvenidas.", "footer.feed": "Fuente de novedades", "footer.cite": "Citar el atlas",
 "share.copied": "Enlace del atlas copiado.", "share.failed": "No se pudo compartir esta página.",
 "error.load": "No se pudo cargar el catálogo", updated: "Actualizado {date}"
 },
 fr: {
 skip: "Aller au catalogue",
 "language.label": "Langue",
 "nav.catalog": "Catalogue", "nav.navigator": "Trouver", "nav.lanes": "Axes", "nav.access": "Accès", "nav.readme": "README", "nav.milestones": "Jalons", "nav.menu": "Menu",
 "milestones.title": "Jalons", "milestones.desc": "Travaux représentatifs à lire en premier, des premiers jeux de données d'activité égocentrique aux modèles et corpus récents à grande échelle.",
 "navigator.title": "Trouver des ressources", "navigator.desc": "Utilisez les résumés par tâche, modalité, lignée et accès pour réduire rapidement le catalogue.", "navigator.catalog": "Ouvrir le catalogue",
 "navigator.tasks": "Tâches fréquentes", "navigator.tasks.desc": "Cadres de problèmes fréquents dans le catalogue.",
 "navigator.modalities": "Modalités", "navigator.modalities.desc": "Types de capteurs et d'annotations utilisables pour filtrer.",
 "navigator.lineage": "Lignées de données", "navigator.lineage.desc": "Familles de données sur lesquelles s'appuient de nombreux articles et outils.",
 "hero.lead": "Trouvez des jeux de données, benchmarks, modèles et outils pour la vision égocentrique, l'IA incarnée et la robotique, le vidéo-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", "btn.share": "Partager l'atlas",
 "stat.resources": "ressources égocentriques", "stat.datasets": "jeux de données", "stat.benchmarks": "benchmarks", "stat.models": "modèles", "stat.toolkits": "outils",
 "proof.1": "Données, benchmarks, modèles et outils", "proof.2": "Filtrer par tâche, statut et date", "proof.3": "Accès libre, licence MIT",
 "media.caption": "Ressources de recherche en première personne",
 "catalog.title": "Catalogue", "catalog.desc": "Filtrez par nom, tâche, modalité, statut, type ou axe de recherche.", "catalog.openyaml": "Ouvrir le YAML",
 "filter.search": "Rechercher", "filter.kind": "Type", "filter.status": "Statut", "filter.lane": "Axe", "filter.reset": "Réinitialiser",
 "filter.allkinds": "Tous les types", "filter.allstatuses": "Tous les statuts", "filter.alllanes": "Tous les axes",
 "search.placeholder": "Ego4D, VLA, pose de main, mémoire...",
 "th.resource": "Ressource", "th.kind": "Type", "th.released": "Publié", "th.status": "Statut", "th.signal": "Échelle / signal",
 loading: "Chargement du catalogue...", "note.default": "Les plus récents d'abord",
 "count.matching": "{n} ressources correspondantes", "note.showing": "Affichage des {a} plus récentes sur {b}", "note.showingall": "Affichage des {a}",
 "empty.title": "Aucune ressource ne correspond à ces filtres.", "empty.hint": "Essayez une recherche plus large, retirez un axe ou réinitialisez les filtres.",
 "lanes.title": "Axes de recherche", "lanes.desc": "Six points d'entrée vers les principales façons d'utiliser les données égocentriques.", "lanes.taxonomy": "Taxonomie",
 "access.title": "Statut d'accès", "access.desc": "Vérifiez ce qui est téléchargeable, sur demande, réservé aux benchmarks, partiel ou non vérifié avant de planifier vos expériences.",
 "maintain.title": "Ajouter une ressource", "maintain.desc": "Une ressource manque ? Ouvrez un court ticket avec la source, le statut d'accès et les notes de licence.", "maintain.add": "Ajouter une ressource",
 "maintain.contributing": "Guide de contribution", "maintain.schema": "Schéma des ressources", "maintain.status": "Politique des statuts", "maintain.workflow": "Flux de maintenance",
 "summary.total": "Catalogue total", "summary.inscope": "Dans le périmètre", "summary.adjacent": "Adjacentes", "summary.open": "Ouvertes aujourd'hui", "summary.watch": "Liste de veille", "summary.audit": "Dernière révision",
 "footer.tagline": "Licence MIT, libre d'utilisation. Contributions bienvenues.", "footer.feed": "Flux des mises à jour", "footer.cite": "Citer l'atlas",
 "share.copied": "Lien de l'atlas copié.", "share.failed": "Impossible de partager cette page.",
 "error.load": "Échec du chargement du catalogue", updated: "Mis à jour le {date}"
 },
 de: {
 skip: "Zum Katalog springen",
 "language.label": "Sprache",
 "nav.catalog": "Katalog", "nav.navigator": "Finden", "nav.lanes": "Bereiche", "nav.access": "Zugang", "nav.readme": "README", "nav.milestones": "Meilensteine", "nav.menu": "Menü",
 "milestones.title": "Meilensteine", "milestones.desc": "Repräsentative Arbeiten für den Einstieg, von frühen egozentrischen Aktivitätsdatensätzen bis zu aktuellen Modellen und großen Korpora.",
 "navigator.title": "Ressourcen finden", "navigator.desc": "Nutze Aufgaben-, Modalitäts-, Linien- und Zugriffszusammenfassungen, um den Katalog schnell einzugrenzen.", "navigator.catalog": "Katalog öffnen",
 "navigator.tasks": "Häufige Aufgaben", "navigator.tasks.desc": "Häufige Problemstellungen im Katalog.",
 "navigator.modalities": "Modalitäten", "navigator.modalities.desc": "Sensor- und Annotationstypen, nach denen du filtern kannst.",
 "navigator.lineage": "Datensatz-Linien", "navigator.lineage.desc": "Datensatzfamilien, auf denen viele Artikel und Tools aufbauen.",
 "hero.lead": "Finde Datensätze, Benchmarks, Modelle und Werkzeuge für egozentrisches Sehen, verkörperte 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", "btn.share": "Atlas teilen",
 "stat.resources": "egozentrische Ressourcen", "stat.datasets": "Datensätze", "stat.benchmarks": "Benchmarks", "stat.models": "Modelle", "stat.toolkits": "Toolkits",
 "proof.1": "Datensätze, Benchmarks, Modelle & Werkzeuge", "proof.2": "Nach Aufgabe, Status und Datum filtern", "proof.3": "Offen zugänglich, MIT-Lizenz",
 "media.caption": "Ressourcen für First-Person-Forschung",
 "catalog.title": "Katalog", "catalog.desc": "Filtere nach Name, Aufgabe, Modalität, Status, Art oder Forschungsbereich.", "catalog.openyaml": "YAML öffnen",
 "filter.search": "Suche", "filter.kind": "Art", "filter.status": "Status", "filter.lane": "Bereich", "filter.reset": "Zurücksetzen",
 "filter.allkinds": "Alle Arten", "filter.allstatuses": "Alle Status", "filter.alllanes": "Alle Bereiche",
 "search.placeholder": "Ego4D, VLA, Handpose, Gedächtnis...",
 "th.resource": "Ressource", "th.kind": "Art", "th.released": "Veröffentlicht", "th.status": "Status", "th.signal": "Umfang / Signal",
 loading: "Katalog wird geladen...", "note.default": "Neueste zuerst",
 "count.matching": "{n} passende Ressourcen", "note.showing": "Zeige die neuesten {a} von {b}", "note.showingall": "Zeige alle {a}",
 "empty.title": "Keine Ressourcen passen zu diesen Filtern.", "empty.hint": "Versuche eine breitere Suche, entferne einen Bereich oder setze die Filter zurück.",
 "lanes.title": "Forschungsbereiche", "lanes.desc": "Sechs Einstiegspunkte für die wichtigsten Wege, egozentrische Daten zu nutzen.", "lanes.taxonomy": "Taxonomie",
 "access.title": "Zugriffsstatus", "access.desc": "Prüfe vor der Experimentplanung, was herunterladbar, anfragepflichtig, benchmark-only, teilweise offen oder noch ungeprüft ist.",
 "maintain.title": "Ressource hinzufügen", "maintain.desc": "Fehlt eine Ressource? Öffne ein kurzes Issue mit Quelle, Zugriffsstatus und Lizenzhinweisen.", "maintain.add": "Ressource hinzufügen",
 "maintain.contributing": "Beitragsleitfaden", "maintain.schema": "Ressourcenschema", "maintain.status": "Status-Richtlinie", "maintain.workflow": "Wartungsablauf",
 "summary.total": "Gesamtkatalog", "summary.inscope": "Im Fokus", "summary.adjacent": "Angrenzend", "summary.open": "Heute offen", "summary.watch": "Beobachtungsliste", "summary.audit": "Letzte Prüfung",
 "footer.tagline": "MIT-Lizenz, frei nutzbar. Beiträge willkommen.", "footer.feed": "Updates-Feed", "footer.cite": "Atlas zitieren",
 "share.copied": "Atlas-Link kopiert.", "share.failed": "Diese Seite konnte nicht geteilt werden.",
 "error.load": "Katalog konnte nicht geladen werden", updated: "Aktualisiert am {date}"
 },
 ja: {
 skip: "カタログへスキップ",
 "language.label": "言語",
 "nav.catalog": "カタログ", "nav.navigator": "探す", "nav.lanes": "研究分野", "nav.access": "アクセス", "nav.readme": "README", "nav.milestones": "マイルストーン", "nav.menu": "メニュー",
 "milestones.title": "マイルストーン", "milestones.desc": "まず読む代表的な研究。初期のエゴセントリック活動データセットから近年のモデルと大規模コーパスまで。",
 "navigator.title": "リソースを探す", "navigator.desc": "タスク、モダリティ、系譜、アクセス状況の要約でカタログを素早く絞り込みます。", "navigator.catalog": "カタログを開く",
 "navigator.tasks": "よく使うタスク", "navigator.tasks.desc": "カタログでよく出てくる問題設定。",
 "navigator.modalities": "モダリティ", "navigator.modalities.desc": "絞り込みに使えるセンサーと注釈タイプ。",
 "navigator.lineage": "データ系譜", "navigator.lineage.desc": "多くの論文やツールが基盤にするデータセット群。",
 "hero.lead": "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に使うデータセット・ベンチマーク・モデル・ツールを探せます。",
 "btn.github": "GitHub リポジトリ", "btn.hf": "Hugging Face ミラー", "btn.browse": "カタログを見る", "btn.share": "アトラスを共有",
 "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",
 "proof.1": "データセット・ベンチマーク・モデル・ツール", "proof.2": "タスク・状態・日付で絞り込み", "proof.3": "オープンアクセス、MIT ライセンス",
 "media.caption": "第一人称研究リソース",
 "catalog.title": "カタログ", "catalog.desc": "名前・タスク・モダリティ・状態・種類・研究分野で絞り込み。", "catalog.openyaml": "YAML を開く",
 "filter.search": "検索", "filter.kind": "種類", "filter.status": "状態", "filter.lane": "分野", "filter.reset": "リセット",
 "filter.allkinds": "すべての種類", "filter.allstatuses": "すべての状態", "filter.alllanes": "すべての分野",
 "search.placeholder": "Ego4D、VLA、手姿勢、記憶…",
 "th.resource": "資源", "th.kind": "種類", "th.released": "公開", "th.status": "状態", "th.signal": "規模 / 信号",
 loading: "カタログを読み込み中…", "note.default": "新しい順",
 "count.matching": "{n} 件の該当資源", "note.showing": "{b} 件中、最新 {a} 件を表示", "note.showingall": "{a} 件をすべて表示",
 "empty.title": "条件に一致する資源がありません。", "empty.hint": "検索範囲を広げる、分野を外す、またはフィルターをリセットしてください。",
 "lanes.title": "研究分野", "lanes.desc": "エゴセントリックデータの主な使い方への 6 つの入り口。", "lanes.taxonomy": "分類体系",
 "access.title": "アクセス状況", "access.desc": "実験を計画する前に、ダウンロード可、申請制、ベンチマークのみ、一部公開、未検証を確認できます。",
 "maintain.title": "資源を追加", "maintain.desc": "不足している資源は、出典・アクセス状況・ライセンス情報を添えて短い issue で知らせてください。", "maintain.add": "資源を追加",
 "maintain.contributing": "貢献ガイド", "maintain.schema": "資源スキーマ", "maintain.status": "状態ポリシー", "maintain.workflow": "メンテナンス手順",
 "summary.total": "カタログ総数", "summary.inscope": "対象内", "summary.adjacent": "隣接", "summary.open": "本日公開", "summary.watch": "ウォッチリスト", "summary.audit": "最終確認",
 "footer.tagline": "MIT ライセンス、自由に利用可能。貢献歓迎。", "footer.feed": "更新フィード", "footer.cite": "アトラスを引用",
 "share.copied": "アトラスのリンクをコピーしました。", "share.failed": "このページを共有できませんでした。",
 "error.load": "カタログの読み込みに失敗しました", updated: "更新日 {date}"
 },
 ko: {
 skip: "카탈로그로 건너뛰기",
 "language.label": "언어",
 "nav.catalog": "카탈로그", "nav.navigator": "찾기", "nav.lanes": "연구 분야", "nav.access": "접근성", "nav.readme": "README", "nav.milestones": "이정표", "nav.menu": "메뉴",
 "milestones.title": "이정표", "milestones.desc": "먼저 읽기 좋은 대표 작업입니다. 초기 자기중심 활동 데이터셋부터 최근 모델과 대규모 코퍼스까지 포함합니다.",
 "navigator.title": "자원 찾기", "navigator.desc": "작업, 모달리티, 계보, 접근 상태 요약으로 카탈로그를 빠르게 좁힙니다.", "navigator.catalog": "카탈로그 열기",
 "navigator.tasks": "공통 작업", "navigator.tasks.desc": "카탈로그에서 자주 나오는 문제 설정.",
 "navigator.modalities": "모달리티", "navigator.modalities.desc": "필터링할 수 있는 센서와 주석 유형.",
 "navigator.lineage": "데이터셋 계보", "navigator.lineage.desc": "많은 논문과 도구가 기반으로 삼는 데이터셋 계열.",
 "hero.lead": "자기중심 비전, 체화 AI와 로보틱스, 비디오-언어, 장문맥 기억, AR/VR, 손-물체 상호작용을 위한 데이터셋·벤치마크·모델·도구를 찾을 수 있습니다.",
 "btn.github": "GitHub 저장소", "btn.hf": "Hugging Face 미러", "btn.browse": "카탈로그 보기", "btn.share": "아틀라스 공유",
 "stat.resources": "자기중심 자원", "stat.datasets": "데이터셋", "stat.benchmarks": "벤치마크", "stat.models": "모델", "stat.toolkits": "툴킷",
 "proof.1": "데이터셋·벤치마크·모델·도구", "proof.2": "작업·상태·날짜로 필터링", "proof.3": "오픈 액세스, MIT 라이선스",
 "media.caption": "일인칭 연구 자원",
 "catalog.title": "카탈로그", "catalog.desc": "이름·작업·모달리티·상태·종류·연구 분야로 필터링하세요.", "catalog.openyaml": "YAML 열기",
 "filter.search": "검색", "filter.kind": "종류", "filter.status": "상태", "filter.lane": "분야", "filter.reset": "초기화",
 "filter.allkinds": "모든 종류", "filter.allstatuses": "모든 상태", "filter.alllanes": "모든 분야",
 "search.placeholder": "Ego4D, VLA, 손 자세, 기억...",
 "th.resource": "자원", "th.kind": "종류", "th.released": "공개", "th.status": "상태", "th.signal": "규모 / 신호",
 loading: "카탈로그 불러오는 중...", "note.default": "최신순",
 "count.matching": "일치하는 자원 {n}개", "note.showing": "전체 {b}개 중 최신 {a}개 표시", "note.showingall": "전체 {a}개 표시",
 "empty.title": "해당 필터에 맞는 자원이 없습니다.", "empty.hint": "검색 범위를 넓히거나 분야를 제거하거나 필터를 초기화하세요.",
 "lanes.title": "연구 분야", "lanes.desc": "자기중심 데이터를 활용하는 주요 방식으로 가는 여섯 가지 진입점.", "lanes.taxonomy": "분류 체계",
 "access.title": "접근 상태", "access.desc": "실험을 계획하기 전에 다운로드 가능, 신청 필요, 벤치마크 전용, 일부 공개, 미검증 상태를 확인하세요.",
 "maintain.title": "자원 추가", "maintain.desc": "빠진 자원이 있으면 출처, 접근 상태, 라이선스 메모를 담아 짧은 이슈로 알려주세요.", "maintain.add": "자원 추가",
 "maintain.contributing": "기여 가이드", "maintain.schema": "자원 스키마", "maintain.status": "상태 정책", "maintain.workflow": "유지보수 절차",
 "summary.total": "전체 카탈로그", "summary.inscope": "범위 내", "summary.adjacent": "인접", "summary.open": "오늘 공개", "summary.watch": "관심 목록", "summary.audit": "최근 점검",
 "footer.tagline": "MIT 라이선스, 자유롭게 사용하세요. 기여 환영.", "footer.feed": "업데이트 피드", "footer.cite": "아틀라스 인용",
 "share.copied": "아틀라스 링크를 복사했습니다.", "share.failed": "이 페이지를 공유할 수 없습니다.",
 "error.load": "카탈로그를 불러오지 못했습니다", updated: "업데이트 {date}"
 },
 pt: {
 skip: "Ir para o catálogo",
 "language.label": "Idioma",
 "nav.catalog": "Catálogo", "nav.navigator": "Encontrar", "nav.lanes": "Áreas", "nav.access": "Acesso", "nav.readme": "README", "nav.milestones": "Marcos", "nav.menu": "Menu",
 "milestones.title": "Marcos", "milestones.desc": "Trabalhos representativos para ler primeiro, dos primeiros dados egocêntricos de atividade a modelos e corpus recentes em grande escala.",
 "navigator.title": "Encontrar recursos", "navigator.desc": "Use resumos por tarefa, modalidade, linhagem e acesso para reduzir rapidamente o catálogo.", "navigator.catalog": "Abrir catálogo",
 "navigator.tasks": "Tarefas comuns", "navigator.tasks.desc": "Configurações de problema frequentes no catálogo.",
 "navigator.modalities": "Modalidades", "navigator.modalities.desc": "Sensores e tipos de anotação pelos quais você pode filtrar.",
 "navigator.lineage": "Linhagens de dados", "navigator.lineage.desc": "Famílias de dados usadas por muitos artigos e ferramentas.",
 "hero.lead": "Encontre conjuntos de dados, benchmarks, modelos e ferramentas para visão egocêntrica, IA incorporada e robótica, vídeo-linguagem, memória de longo contexto, RA/RV e interação mão-objeto.",
 "btn.github": "Repositório GitHub", "btn.hf": "Espelho Hugging Face", "btn.browse": "Explorar catálogo", "btn.share": "Compartilhar atlas",
 "stat.resources": "recursos egocêntricos", "stat.datasets": "conjuntos de dados", "stat.benchmarks": "benchmarks", "stat.models": "modelos", "stat.toolkits": "ferramentas",
 "proof.1": "Dados, benchmarks, modelos e ferramentas", "proof.2": "Filtre por tarefa, estado e data", "proof.3": "Acesso aberto, licença MIT",
 "media.caption": "Recursos de pesquisa em primeira pessoa",
 "catalog.title": "Catálogo", "catalog.desc": "Filtre por nome, tarefa, modalidade, estado, tipo ou área de pesquisa.", "catalog.openyaml": "Abrir YAML",
 "filter.search": "Pesquisar", "filter.kind": "Tipo", "filter.status": "Estado", "filter.lane": "Área", "filter.reset": "Redefinir",
 "filter.allkinds": "Todos os tipos", "filter.allstatuses": "Todos os estados", "filter.alllanes": "Todas as áreas",
 "search.placeholder": "Ego4D, VLA, pose de mão, memória...",
 "th.resource": "Recurso", "th.kind": "Tipo", "th.released": "Publicado", "th.status": "Estado", "th.signal": "Escala / sinal",
 loading: "Carregando catálogo...", "note.default": "Mais recentes primeiro",
 "count.matching": "{n} recursos correspondentes", "note.showing": "Mostrando os {a} mais recentes de {b}", "note.showingall": "Mostrando todos os {a}",
 "empty.title": "Nenhum recurso corresponde a esses filtros.", "empty.hint": "Tente uma busca mais ampla, remova uma área ou redefina os filtros.",
 "lanes.title": "Áreas de pesquisa", "lanes.desc": "Seis portas de entrada para as principais formas de usar dados egocêntricos.", "lanes.taxonomy": "Taxonomia",
 "access.title": "Estado de acesso", "access.desc": "Verifique o que é baixável, exige solicitação, é só benchmark, é parcial ou ainda não verificado antes de planejar experimentos.",
 "maintain.title": "Adicionar um recurso", "maintain.desc": "Falta um recurso? Abra uma breve issue com a fonte, o estado de acesso e notas de licença.", "maintain.add": "Adicionar recurso",
 "maintain.contributing": "Guia de contribuição", "maintain.schema": "Esquema de recursos", "maintain.status": "Política de estados", "maintain.workflow": "Fluxo de manutenção",
 "summary.total": "Catálogo total", "summary.inscope": "No escopo", "summary.adjacent": "Adjacentes", "summary.open": "Abertos hoje", "summary.watch": "Lista de observação", "summary.audit": "Última auditoria",
 "footer.tagline": "Licença MIT e de uso livre. Contribuições bem-vindas.", "footer.feed": "Feed de atualizações", "footer.cite": "Citar o atlas",
 "share.copied": "Link do atlas copiado.", "share.failed": "Não foi possível compartilhar esta página.",
 "error.load": "Falha ao carregar o catálogo", updated: "Atualizado em {date}"
 }
};
function getLang() {
 const fromUrl = new URLSearchParams(location.search).get("lang")
 || (location.hash.match(/[#&]lang=(\w+)/) || [])[1];
 if (fromUrl && I18N[fromUrl]) {
 localStorage.setItem("aea-lang", fromUrl);
 return fromUrl;
 }
 const stored = localStorage.getItem("aea-lang");
 if (stored && I18N[stored]) return stored;
 const nav = (navigator.language || "en").slice(0, 2).toLowerCase();
 return I18N[nav] ? nav : "en";
}
function readFiltersFromUrl() {
 const p = new URLSearchParams(location.search);
 return {
 search: p.get("q") || "",
 kind: p.get("kind") || "",
 status: p.get("status") || "",
 lane: p.get("lane") || ""
 };
}
const state = {
 lang: getLang(),
 data: null,
 filters: readFiltersFromUrl()
};
const reduceMotion = window.matchMedia("(prefers-reduced-motion: reduce)").matches;
// Keep the URL in sync with the active language + filters so any view is shareable.
function syncUrl() {
 const p = new URLSearchParams();
 if (state.lang && state.lang !== "en") p.set("lang", state.lang);
 const f = state.filters;
 if (f.search) p.set("q", f.search);
 if (f.kind) p.set("kind", f.kind);
 if (f.status) p.set("status", f.status);
 if (f.lane) p.set("lane", f.lane);
 const qs = p.toString();
 history.replaceState(null, "", (qs ? `?${qs}` : location.pathname) + location.hash);
}
// Reflect state.filters onto the form controls; drop any filter whose option no
// longer exists (e.g. a stale lane id from an old shared link).
function applyFiltersToForm() {
 els.search.value = state.filters.search;
 ["kind", "status", "lane"].forEach((key) => {
 els[key].value = state.filters[key];
 if (els[key].value !== state.filters[key]) state.filters[key] = "";
 });
}
function t(key) {
 return (I18N[state.lang] && I18N[state.lang][key]) || I18N.en[key] || key;
}
function fmt(str, params) {
 return String(str).replace(/\{(\w+)\}/g, (_, k) => (params[k] !== undefined ? params[k] : `{${k}}`));
}
function rowLimit() {
 return window.matchMedia("(max-width: 640px)").matches ? 18 : 48;
}
const GENERIC_MODALITIES = new Set([
 "video", "rgb", "text", "annotations", "egocentric-video", "first-person-video"
]);
const LINEAGE_ANCHORS = [
 {
 label: "Ego4D family",
 query: "Ego4D",
 tokens: ["Ego4D"],
 note: "Long-form video, memory, NLQ, forecasting, and derived QA/VLP tasks."
 },
 {
 label: "EPIC-KITCHENS family",
 query: "EPIC-KITCHENS",
 tokens: ["EPIC-KITCHENS", "EPIC"],
 note: "Kitchen action, hand-object interaction, segmentation, audio, and retrieval."
 },
 {
 label: "Project Aria family",
 query: "Aria",
 tokens: ["Project Aria", "Aria"],
 note: "AR glasses, gaze, SLAM/MPS, smart-glasses datasets, and wearable sensing."
 },
 {
 label: "Ego-Exo4D family",
 query: "Ego-Exo",
 tokens: ["Ego-Exo4D", "EgoExo", "Ego-Exo"],
 note: "Skilled activity with synchronized first- and third-person capture."
 },
 {
 label: "UMI-style robotics",
 query: "UMI",
 tokens: ["UMI", "FastUMI", "MV-UMI", "UMIGen"],
 note: "Human demonstration interfaces and wrist-camera robot policy data."
 },
 {
 label: "Xperience-10M stack",
 query: "Xperience-10M",
 tokens: ["Xperience-10M", "HOMIE"],
 note: "Large-scale egocentric world-model data, sample, tools, and baselines."
 }
];
const ACRONYMS = new Set([
 "ai", "api", "ar", "av", "hdf5", "hoi", "imu", "mllm", "mps", "nlq", "qa",
 "rgb", "rgbd", "slam", "vla", "vlm", "vlp", "vqa", "vr"
]);
const els = {
 rows: document.querySelector("#catalog-rows"),
 count: document.querySelector("#result-count"),
 note: document.querySelector("#result-note"),
 filters: document.querySelector("#filters"),
 search: document.querySelector("#search"),
 kind: document.querySelector("#kind"),
 status: document.querySelector("#status"),
 lane: document.querySelector("#lane"),
 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"),
 languageSwitcher: document.querySelector("#language-switcher"),
 languageMenu: document.querySelector("#language-menu"),
 languageCurrent: document.querySelector("#language-current"),
 header: document.querySelector(".site-header"),
 menuToggle: document.querySelector("#menu-toggle"),
 primaryNavigation: document.querySelector("#primary-navigation"),
 share: document.querySelector("#share-atlas"),
 shareToast: document.querySelector("#share-toast"),
 milestoneBoard: document.querySelector("#milestone-board"),
 taskHotspots: document.querySelector("#task-hotspots"),
 modalityHotspots: document.querySelector("#modality-hotspots"),
 lineageList: document.querySelector("#lineage-list")
};
function titleize(value) {
 return String(value || "")
 .replace(/-/g, " ")
 .replace(/\b[\w+]+\b/g, (word) => {
 const lower = word.toLowerCase();
 return ACRONYMS.has(lower) ? lower.toUpperCase() : word.charAt(0).toUpperCase() + word.slice(1);
 });
}
function option(select, value, label) {
 const item = document.createElement("option");
 item.value = value;
 item.textContent = label;
 select.appendChild(item);
}
function escapeHtml(value) {
 return String(value ?? "")
 .replace(/&/g, "&amp;")
 .replace(/</g, "&lt;")
 .replace(/>/g, "&gt;")
 .replace(/"/g, "&quot;")
 .replace(/'/g, "&#039;");
}
function setText(selector, value) {
 document.querySelectorAll(selector).forEach((node) => {
 node.textContent = value;
 });
}
function applyStaticI18n() {
 document.querySelectorAll("[data-i18n]").forEach((node) => {
 node.textContent = t(node.getAttribute("data-i18n"));
 });
 document.querySelectorAll("[data-i18n-ph]").forEach((node) => {
 node.setAttribute("placeholder", t(node.getAttribute("data-i18n-ph")));
 });
 document.documentElement.lang = state.lang;
}
function langHref(code) {
 const p = new URLSearchParams(location.search);
 if (code === "en") {
 p.delete("lang");
 } else {
 p.set("lang", code);
 }
 const qs = p.toString();
 return `${location.pathname}${qs ? `?${qs}` : ""}${location.hash}`;
}
function createLanguageLink(code, label) {
 const link = document.createElement("a");
 link.href = langHref(code);
 link.textContent = label;
 link.setAttribute("lang", code);
 if (code === state.lang) {
 link.classList.add("active");
 link.setAttribute("aria-current", "true");
 }
 link.addEventListener("click", (event) => {
 event.preventDefault();
 setLang(code);
 if (els.languageSwitcher) els.languageSwitcher.open = false;
 });
 return link;
}
function buildLanguageSwitcher() {
 const activeLang = LANGS.find(([code]) => code === state.lang) || LANGS[0];
if (els.languageCurrent) {
 els.languageCurrent.textContent = activeLang[1];
 els.languageCurrent.setAttribute("lang", activeLang[0]);
 }
if (els.languageMenu) {
 els.languageMenu.replaceChildren();
 LANGS.forEach(([code, label]) => {
 els.languageMenu.appendChild(createLanguageLink(code, label));
 });
 }
}
function bindLanguageSwitcher() {
 if (!els.languageSwitcher) return;
 document.addEventListener("click", (event) => {
 if (!els.languageSwitcher.contains(event.target)) {
 els.languageSwitcher.open = false;
 }
 });
 document.addEventListener("keydown", (event) => {
 if (event.key === "Escape") {
 els.languageSwitcher.open = false;
 }
 });
}
function bindHeader() {
 if (!els.header || !els.menuToggle || !els.primaryNavigation) return;
const closeMenu = () => {
 els.header.classList.remove("nav-open");
 els.menuToggle.setAttribute("aria-expanded", "false");
 };
els.menuToggle.addEventListener("click", () => {
 const open = !els.header.classList.contains("nav-open");
 els.header.classList.toggle("nav-open", open);
 els.menuToggle.setAttribute("aria-expanded", String(open));
 });
 els.primaryNavigation.addEventListener("click", (event) => {
 if (event.target.closest("a")) closeMenu();
 });
 window.addEventListener("resize", () => {
 if (window.matchMedia("(min-width: 1041px)").matches) closeMenu();
 });
}
let shareToastTimer;
function showShareToast(message) {
 if (!els.shareToast) return;
 window.clearTimeout(shareToastTimer);
 els.shareToast.textContent = message;
 els.shareToast.hidden = false;
 shareToastTimer = window.setTimeout(() => {
 els.shareToast.hidden = true;
 }, 2600);
}
async function copyShareUrl(url) {
 if (navigator.clipboard && window.isSecureContext) {
 await navigator.clipboard.writeText(url);
 return;
 }
const field = document.createElement("textarea");
 field.value = url;
 field.setAttribute("readonly", "");
 field.style.position = "fixed";
 field.style.opacity = "0";
 document.body.appendChild(field);
 field.select();
 const copied = document.execCommand("copy");
 field.remove();
 if (!copied) throw new Error("Copy failed");
}
function bindShare() {
 if (!els.share) return;
 els.share.addEventListener("click", async () => {
 const url = window.location.href;
 const data = {
 title: "Awesome Egocentric Atlas",
 text: state.data?.meta?.description || I18N.en["hero.lead"],
 url
 };
try {
 if (navigator.share) {
 try {
 await navigator.share(data);
 return;
 } catch (error) {
 if (error && error.name === "AbortError") return;
 }
 }
 await copyShareUrl(url);
 showShareToast(t("share.copied"));
 } catch (error) {
 showShareToast(t("share.failed"));
 }
 });
}
function setLang(lang) {
 if (!I18N[lang]) return;
 state.lang = lang;
 localStorage.setItem("aea-lang", lang);
 syncUrl();
 applyStaticI18n();
 buildLanguageSwitcher();
 if (state.data) {
 renderStats();
 renderSummary();
 renderStatuses();
 renderRows();
 }
}
function compactReleased(resource) {
 return resource.released || resource.year || "unknown";
}
function asArray(value) {
 if (!value) return [];
 return Array.isArray(value) ? value : [value];
}
function matchesLane(resource, laneId) {
 if (!laneId) return true;
 const lane = state.data.lanes.find((item) => item.id === laneId);
 if (!lane) return true;
 const families = new Set(lane.families);
 return (resource.task_families || []).some((family) => families.has(family));
}
function searchableText(resource) {
 return [
 resource.name, resource.kind, resource.status, resource.released, resource.venue, resource.scale,
 resource.access, resource.release_note,
 ...asArray(resource.derived_from),
 ...(resource.tasks || []), ...(resource.modalities || []), ...(resource.task_families || [])
 ].join(" ").toLowerCase();
}
function queryTerms(query) {
 return String(query || "")
 .toLowerCase()
 .split(/[\s,;/]+/)
 .map((term) => term.trim())
 .filter(Boolean);
}
function filteredResources() {
 const terms = queryTerms(state.filters.search);
 return state.data.resources
 .filter((resource) => resource.scope !== "adjacent")
 .filter((resource) => !state.filters.kind || resource.kind === state.filters.kind)
 .filter((resource) => !state.filters.status || resource.status === state.filters.status)
 .filter((resource) => matchesLane(resource, state.filters.lane))
 .filter((resource) => {
 if (!terms.length) return true;
 const haystack = searchableText(resource);
 return terms.every((term) => haystack.includes(term));
 })
 .sort((a, b) => String(compactReleased(b)).localeCompare(String(compactReleased(a))) || a.name.localeCompare(b.name));
}
function focusCatalogSearch(query) {
 state.filters = { search: query, kind: "", status: "", lane: "" };
 applyFiltersToForm();
 syncUrl();
 renderRows();
 document.querySelector("#catalog").scrollIntoView({ behavior: reduceMotion ? "auto" : "smooth", block: "start" });
}
function statusHint(resource) {
 const label = {
 open: "public route listed",
 request: "request needed",
 benchmark: "benchmark or labels",
 partial: "partial release",
 watch: "release watch"
 }[resource.status] || "status checked";
 return resource.verified_at ? `${label} · checked ${resource.verified_at}` : label;
}
function renderRows() {
 const resources = filteredResources();
 const limit = rowLimit();
 const shown = Math.min(resources.length, limit);
 els.count.textContent = fmt(t("count.matching"), { n: resources.length });
 els.note.textContent = resources.length > limit
 ? fmt(t("note.showing"), { a: shown, b: resources.length })
 : fmt(t("note.showingall"), { a: shown });
 els.empty.hidden = resources.length !== 0;
 els.rows.replaceChildren();
resources.slice(0, limit).forEach((resource, index) => {
 const row = document.createElement("tr");
 row.className = "motion-row";
 row.style.setProperty("--row-delay", `${Math.min(index * 8, 120)}ms`);
 const tasks = (resource.tasks || []).slice(0, 3);
 const modalities = (resource.modalities || []).slice(0, 3).map(titleize).join(" / ");
 const sourceLine = [resource.venue, modalities, resource.license].filter(Boolean).join(" / ");
 const statusLine = statusHint(resource);
row.innerHTML = `
 <td data-label="${escapeHtml(t("th.resource"))}">
 <div class="resource-name">
 <a href="${escapeHtml(resource.url)}">${escapeHtml(resource.name)}</a>
 <span>${escapeHtml(sourceLine)}</span>
 </div>
 </td>
 <td data-label="${escapeHtml(t("th.kind"))}"><span class="chip">${escapeHtml(titleize(resource.kind))}</span></td>
 <td data-label="${escapeHtml(t("th.released"))}">${escapeHtml(compactReleased(resource))}</td>
 <td data-label="${escapeHtml(t("th.status"))}">
 <span class="chip status-${escapeHtml(resource.status)}">${escapeHtml(resource.status)}</span>
 <span class="status-context" title="${escapeHtml(resource.release_note || resource.access || statusLine)}">${escapeHtml(statusLine)}</span>
 </td>
 <td data-label="${escapeHtml(t("th.signal"))}">
 <div>${escapeHtml(resource.scale || "")}</div>
 <div class="task-tags">${tasks.map((task) => `<span class="chip">${escapeHtml(titleize(task))}</span>`).join("")}</div>
 </td>
 `;
 els.rows.appendChild(row);
 });
}
function topTokens(resources, field, options = {}) {
 const skip = options.skip || new Set();
 const counts = new Map();
 resources.forEach((resource) => {
 (resource[field] || []).forEach((token) => {
 if (!token || skip.has(token)) return;
 counts.set(token, (counts.get(token) || 0) + 1);
 });
 });
 return Array.from(counts, ([token, count]) => ({ token, count }))
 .sort((a, b) => b.count - a.count || a.token.localeCompare(b.token))
 .slice(0, options.limit || 10)
 .map(({ token }) => {
 const terms = queryTerms(token);
 const count = resources.filter((resource) => {
 const haystack = searchableText(resource);
 return terms.every((term) => haystack.includes(term));
 }).length;
 return { token, count };
 })
 .sort((a, b) => b.count - a.count || a.token.localeCompare(b.token));
}
function renderTokenCloud(container, tokens) {
 if (!container) return;
 container.replaceChildren();
 tokens.forEach(({ token, count }) => {
 const button = document.createElement("button");
 button.className = "token-button";
 button.type = "button";
 button.innerHTML = `<span>${escapeHtml(titleize(token))}</span><strong>${escapeHtml(count)}</strong>`;
 button.addEventListener("click", () => focusCatalogSearch(token));
 container.appendChild(button);
 });
}
function lineageMatches(anchor, resources) {
 return resources.filter((resource) => {
 const text = [
 resource.name,
 resource.url,
 resource.venue,
 ...asArray(resource.derived_from),
 ...(resource.modalities || [])
 ].join(" ").toLowerCase();
 return anchor.tokens.some((token) => text.includes(token.toLowerCase()));
 }).sort((a, b) => {
 const score = (resource) => {
 const name = String(resource.name || "").toLowerCase();
 const derived = asArray(resource.derived_from).join(" ").toLowerCase();
 return anchor.tokens.reduce((total, token) => {
 const term = token.toLowerCase();
 return total + (name.includes(term) ? 4 : 0) + (derived.includes(term) ? 2 : 0);
 }, 0);
 };
 return score(b) - score(a) || String(compactReleased(b)).localeCompare(String(compactReleased(a)));
 });
}
function renderLineageList(resources) {
 if (!els.lineageList) return;
 els.lineageList.replaceChildren();
 LINEAGE_ANCHORS.forEach((anchor) => {
 const matches = lineageMatches(anchor, resources);
 const topNames = matches.slice(0, 3).map((resource) => resource.name).join(", ");
 const button = document.createElement("button");
 button.className = "lineage-button";
 button.type = "button";
 button.innerHTML = `
 <span class="lineage-main">
 <strong>${escapeHtml(anchor.label)}</strong>
 <span>${escapeHtml(anchor.note)}</span>
 </span>
 <span class="lineage-meta">
 <strong>${escapeHtml(matches.length)}</strong>
 <span>${escapeHtml(topNames)}</span>
 </span>
 `;
 button.addEventListener("click", () => focusCatalogSearch(anchor.query));
 els.lineageList.appendChild(button);
 });
}
function renderNavigator() {
 const resources = state.data.resources.filter((resource) => resource.scope !== "adjacent");
 renderTokenCloud(els.taskHotspots, topTokens(resources, "tasks", { limit: 10 }));
 renderTokenCloud(els.modalityHotspots, topTokens(resources, "modalities", { skip: GENERIC_MODALITIES, limit: 10 }));
 renderLineageList(resources);
}
function renderFilters() {
 els.kind.length = 1;
 els.status.length = 1;
 els.lane.length = 1;
 const kindOrder = ["dataset", "benchmark", "model", "toolkit", "collection"];
 const statusOrder = ["open", "request", "benchmark", "partial", "watch"];
 kindOrder.filter((kind) => state.data.summary.kind_counts[kind]).forEach((kind) => option(els.kind, kind, titleize(kind)));
 statusOrder.filter((status) => state.data.summary.status_counts[status]).forEach((status) => option(els.status, status, titleize(status)));
 state.data.lanes.forEach((lane) => option(els.lane, lane.id, lane.label));
}
function renderStats() {
 const { summary, meta } = state.data;
 setText("[data-stat='egocentric_resources']", summary.egocentric_resources);
 Object.entries(summary.kind_counts).forEach(([kind, value]) => setText(`[data-kind='${kind}']`, value));
 document.querySelector("[data-updated]").textContent = fmt(t("updated"), { date: meta.last_major_audit });
}
function renderSummary() {
 const { summary, meta } = state.data;
 const pills = [
 [t("summary.total"), summary.total_resources],
 [t("summary.inscope"), summary.egocentric_resources],
 [t("summary.adjacent"), summary.adjacent_resources],
 [t("summary.open"), summary.status_counts.open || 0],
 [t("summary.watch"), summary.status_counts.watch || 0],
 [t("summary.audit"), meta.last_major_audit]
 ];
 els.summary.replaceChildren();
 pills.forEach(([label, value]) => {
 const pill = document.createElement("span");
 pill.className = "summary-pill";
 pill.innerHTML = `<span>${escapeHtml(label)}</span><strong>${escapeHtml(value)}</strong>`;
 els.summary.appendChild(pill);
 });
}
function renderLanes() {
 els.lanes.replaceChildren();
 state.data.lanes.forEach((lane) => {
 const card = document.createElement("article");
 card.className = "lane-card";
 card.tabIndex = 0;
 card.setAttribute("role", "button");
 card.setAttribute("aria-label", `${t("nav.lanes")}: ${lane.label}`);
 card.innerHTML = `
 <strong>${escapeHtml(lane.label)}</strong>
 <p>${escapeHtml(lane.description)}</p>
 <span class="lane-count">${escapeHtml(lane.count)}</span>
 `;
 const selectLane = () => {
 els.lane.value = lane.id;
 state.filters.lane = lane.id;
 syncUrl();
 renderRows();
 document.querySelector("#catalog").scrollIntoView({ behavior: reduceMotion ? "auto" : "smooth", block: "start" });
 };
 card.addEventListener("click", selectLane);
 card.addEventListener("keydown", (event) => {
 if (event.key === "Enter" || event.key === " ") {
 event.preventDefault();
 selectLane();
 }
 });
 els.lanes.appendChild(card);
 });
}
function renderStatuses() {
 const legend = state.data.meta.status_legend;
 const counts = state.data.summary.status_counts;
 els.statuses.replaceChildren();
 Object.entries(legend).forEach(([status, description]) => {
 const row = document.createElement("div");
 row.className = "status-row";
 row.innerHTML = `
 <strong>${status}</strong>
 <span class="chip status-${status}">${counts[status] || 0}</span>
 <span>${description}</span>
 `;
 els.statuses.appendChild(row);
 });
}
function milestoneEra(item) {
 const year = Number(String(item.date || "").slice(0, 4));
 if (year <= 2015) return { id: "origins", range: "2009-2015", title: "Origins", copy: "Daily-life activity, gaze, and hands become measurable egocentric signals." };
 if (year <= 2022) return { id: "scale", range: "2020-2022", title: "Modern Scale", copy: "Large benchmarks, smart-glasses sensing, geometry, and video-language pretraining mature." };
 if (year <= 2024) return { id: "reasoning", range: "2023-2024", title: "Reasoning & Robotics", copy: "Long-form reasoning, ego-exo capture, AR hand-object tracking, and robot interfaces converge." };
 if (year === 2025) return { id: "daily", range: "2025", title: "Daily Life to VLA", copy: "Personal memory and egocentric demonstrations begin feeding robot policies." };
 return { id: "worldmodels", range: "2026", title: "World Models", copy: "Recent egocentric corpora, world models, and scaling studies." };
}
function renderMilestones() {
 if (!els.milestoneBoard || !state.data.milestones) return;
 const eras = [];
 const eraMap = new Map();
state.data.milestones.forEach((item) => {
 const era = milestoneEra(item);
 if (!eraMap.has(era.id)) {
 eraMap.set(era.id, { ...era, items: [] });
 eras.push(eraMap.get(era.id));
 }
 eraMap.get(era.id).items.push(item);
 });
els.milestoneBoard.replaceChildren();
 eras.forEach((era, index) => {
 const section = document.createElement("section");
 section.className = "milestone-era";
 section.setAttribute("aria-label", `${era.range} ${era.title}`);
 const cards = era.items.map((item) => {
 const kind = titleize(item.kind);
 const origin = item.origin ? `From ${item.origin}.` : "";
 const label = `${item.name}, ${item.date}, ${kind}. ${origin} ${item.note || ""}`.trim();
 const image = item.image || "assets/awesome-egocentric-logo.png";
 const webp = image.replace(/\.png$/i, ".webp");
 return `
 <a class="milestone-card" href="${escapeHtml(item.url)}" target="_blank" rel="noopener noreferrer" title="${escapeHtml(label)}" aria-label="${escapeHtml(label)}">
 <span class="milestone-card-media">
 <picture>
 ${webp !== image ? `<source srcset="${escapeHtml(webp)}" type="image/webp">` : ""}
 <img src="${escapeHtml(image)}" loading="lazy" decoding="async" alt="">
 </picture>
 </span>
 <span class="milestone-card-meta">
 <span class="chip milestone-card-date">${escapeHtml(item.date)}</span>
 <span class="chip milestone-card-kind">${escapeHtml(kind)}</span>
 </span>
 <strong class="milestone-card-title">${escapeHtml(item.name)}</strong>
 ${item.origin ? `<span class="milestone-card-origin">${escapeHtml(item.origin)}</span>` : ""}
 ${item.note ? `<span class="milestone-card-note">${escapeHtml(item.note)}</span>` : ""}
 </a>
 `;
 }).join("");
section.innerHTML = `
 <div class="milestone-era-head">
 <p class="milestone-era-kicker">Era ${index + 1}</p>
 <span class="milestone-era-range">${escapeHtml(era.range)}</span>
 <span class="milestone-era-title">${escapeHtml(era.title)}</span>
 <p class="milestone-era-copy">${escapeHtml(era.copy)}</p>
 </div>
 <div class="milestone-cards" data-count="${era.items.length}">${cards}</div>
 `;
 els.milestoneBoard.appendChild(section);
 });
}
function bindFilters() {
 els.filters.addEventListener("input", () => {
 state.filters.search = els.search.value;
 state.filters.kind = els.kind.value;
 state.filters.status = els.status.value;
 state.filters.lane = els.lane.value;
 syncUrl();
 renderRows();
 });
 els.clear.addEventListener("click", () => {
 els.search.value = "";
 els.kind.value = "";
 els.status.value = "";
 els.lane.value = "";
 state.filters = { search: "", kind: "", status: "", lane: "" };
 syncUrl();
 renderRows();
 els.search.focus();
 });
}
function setupMotion() {
 if (reduceMotion) return;
 const selectors = [
 ".hero-copy",
 ".hero-media",
 ".visual-band",
 ".section-heading",
 ".navigator-panel",
 ".milestone-era",
 ".lane-card",
 ".split-section",
 ".maintenance-grid a"
 ];
 const targets = Array.from(document.querySelectorAll(selectors.join(",")));
 const hashTarget = location.hash ? document.querySelector(location.hash) : null;
 targets.forEach((target, index) => {
 target.classList.add("reveal");
 target.style.setProperty("--reveal-delay", `${Math.min((index % 6) * 45, 180)}ms`);
 const bounds = target.getBoundingClientRect();
 if (
 bounds.top < window.innerHeight * 0.94 ||
 (hashTarget && (target.contains(hashTarget) || hashTarget.contains(target)))
 ) {
 target.classList.add("is-visible");
 }
 });
const observer = new IntersectionObserver((entries) => {
 entries.forEach((entry) => {
 if (!entry.isIntersecting) return;
 entry.target.classList.add("is-visible");
 observer.unobserve(entry.target);
 });
 }, { rootMargin: "0px 0px -8% 0px", threshold: 0.08 });
targets.forEach((target) => observer.observe(target));
 requestAnimationFrame(() => {
 document.documentElement.classList.add("motion-ready");
 });
}
function alignHashTarget() {
 if (!location.hash) return;
 const target = document.getElementById(decodeURIComponent(location.hash.slice(1)));
 if (!target) return;
 requestAnimationFrame(() => {
 requestAnimationFrame(() => target.scrollIntoView({ block: "start" }));
 });
}
async function init() {
 applyStaticI18n();
 buildLanguageSwitcher();
 bindLanguageSwitcher();
 bindHeader();
 bindShare();
 const response = await fetch("./site-data.json");
 state.data = await response.json();
 renderStats();
 renderSummary();
 renderFilters();
 renderNavigator();
 renderLanes();
 renderStatuses();
 renderMilestones();
 applyFiltersToForm();
 bindFilters();
 renderRows();
 setupMotion();
 alignHashTarget();
 window.addEventListener("hashchange", alignHashTarget);
}
init().catch((error) => {
 els.count.textContent = t("error.load");
 console.error(error);
});