Polish rendered instructions and retain all official aliases and reproducible media revision
Browse files- provenance/media_publication.json +3 -0
- scripts/build_browser.py +94 -94
- scripts/build_examples.py +9 -2
provenance/media_publication.json
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{
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"dataset_commit_sha": "473a751daeceb96bdb93c1f1c81866cf45bab14d"
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}
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scripts/build_browser.py
CHANGED
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@@ -1,94 +1,94 @@
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"""Generate a free static HF Space from selected benchmark metadata."""
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from pathlib import Path
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import json,re,shutil
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ROOT=Path(__file__).resolve().parents[1]
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NAME=ROOT.name
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DATA=ROOT/'dataset'
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OUT=ROOT/'space'
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JS=r'''
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const DATA=JSON.parse(document.getElementById('catalog').textContent);
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const esc=x=>String(x??'').replace(/[&<>"']/g,c=>({'&':'&','<':'<','>':'>','"':'"',"'":'''}[c]));
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const media=p=>DATA.media_base+p.split('/').map(encodeURIComponent).join('/');
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const file=p=>DATA.file_base+p.split('/').map(encodeURIComponent).join('/');
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const link=(u,t)=>`<a href="${esc(u)}" target="_blank" rel="noopener">${esc(t)}</a>`;
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const tasks=[...DATA.tasks].sort((a,b)=>a.task_index-b.task_index);
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const groups=[...new Set(tasks.map(t=>t.category))];
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let current=null,query='',group='all',mode='combined';
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function drawList(){
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document.getElementById('groups').innerHTML=['all',...groups].map(g=>`<button class="group ${g===group?'active':''}" data-group="${esc(g)}" aria-pressed="${g===group}">${g==='all'?'全部':esc(g)}<span>${g==='all'?tasks.length:tasks.filter(t=>t.category===g).length}</span></button>`).join('');
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const numeric=/^\d+$/.test(query.trim());
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const shown=tasks.filter(t=>(numeric||group==='all'||t.category===group)&&(numeric?t.task_index===Number(query):`${t.name} ${t.instruction} ${t.source_filename??''}`.toLowerCase().includes(query.toLowerCase())));
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document.getElementById('listCount').textContent=`${shown.length} / ${tasks.length}`;
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document.getElementById('taskList').innerHTML=shown.map(t=>`<button class="task-link ${current?.task_index===t.task_index?'active':''}" data-task="${t.task_index}"><span class="id mono">${t.task_index}</span><span class="name">${esc(t.name)}</span></button>`).join('')||'<div class="no-results">没有匹配的精选任务序号。</div>';
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document.querySelectorAll('[data-group]').forEach(b=>b.onclick=()=>{group=b.dataset.group;drawList()});
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document.querySelectorAll('[data-task]').forEach(b=>b.onclick=()=>{selectTask(b.dataset.task);window.scrollTo({top:0})});
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}
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function selectTask(id,historyUpdate=true){document.querySelectorAll('video').forEach(v=>v.pause());current=tasks.find(t=>t.task_index===Number(id));if(historyUpdate)history.replaceState({},'',`?task=${id}`);drawList();drawTask();document.querySelector('.task-link.active')?.scrollIntoView({block:'nearest'});}
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function player(p,poster=''){return `<video controls playsinline preload="metadata" src="${esc(media(p))}" ${poster?`poster="${esc(media(poster))}"`:''}></video>`}
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function episode(s){
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const n=s.views.length;
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const content=mode==='combined'?`<div class="view-labels" style="grid-template-columns:repeat(${n},1fr)">${s.views.map(v=>`<span>${esc(v.label)}</span>`).join('')}</div><div class="combined">${player(s.composite_path,s.preview_path)}</div>`:`<div class="views-scroll"><div class="views" style="grid-template-columns:repeat(${n},minmax(220px,1fr));min-width:${n*230}px">${s.views.map(v=>`<div class="view"><div class="camera">${esc(v.label)}</div>${player(v.path)}</div>`).join('')}</div></div>`;
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return `<article class="episode" data-episode="${s.episode_index}"><div class="episode-head"><div><b class="mono">EPISODE ${s.episode_index}</b><div class="episode-meta">官方 task_index=${s.task_index} · ${s.frame_count} frames · ${s.fps} FPS · ${(s.frame_count/s.fps).toFixed(2)} s</div></div><span class="episode-badge">OFFICIAL DATA EXTRACT</span></div>${content}<div class="episode-foot"><div class="source-links">${s.views.map(v=>link(file(v.path),v.label+' MP4')).join('')}${link(media(s.trajectory_path),'动作 / 状态 Parquet')}${link(file(s.composite_path),'同步 MP4 ↗')}</div>${mode==='original'?'<div class="sync-actions"><button data-play>同步播放</button><button data-pause>暂停</button><button data-reset>回到开头</button></div>':''}</div>${s.source_filename?`<div class="episode-meta source-name mono">${esc(s.source_filename)}</div>`:''}<div class="error" hidden></div></article>`;
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}
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function drawTask(){
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const top=`<div class="topline"><span class="stats"><b>${esc(DATA.name)}</b> / ${DATA.samples.length} SELECTED EPISODES / ${DATA.source.camera_order.length} CAMERAS</span><div class="toplinks">${link(DATA.repo_url,'HF 数据仓库 ↗')}${link(DATA.github_url,'官方代码 ↗')}</div></div>`;
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if(!current){document.getElementById('main').innerHTML=top+'<h1>精选集中没有这个序号</h1><p>请从左侧选择，或输入已收录的官方 task_index。</p>';return}
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const t=current,idx=tasks.indexOf(t),ss=DATA.samples.filter(s=>s.task_index===t.task_index),dynamic=DATA.name==='DynamicVLA';
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document.title=`Task ${t.task_index} · ${t.name} · ${DATA.name}`;
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let html=top+`<div class="benchmark-note">${dynamic?'DOM 有 3 类任务，但官方 task_index 对应具体语言 / 场景配置。本页是三类各 6 条精选示例，不是完整 140,932 条任务目录。':'ReflexBench 的全部 6 个官方 task_index，每任务 3 条精选完整 episode。'} 单臂 Franka；相机名称保留上游定义。</div><div class="eyebrow">${esc(t.category)} · SIMULATION</div><div class="task-heading"><span class="big-id mono">${t.task_index}</span><h1>${esc(t.name)}</h1></div><div class="toplinks" style="margin-bottom:20px"><span class="muted mono">OFFICIAL task_index = ${t.task_index}</span><div class="nav-buttons"><button class="small-button" id="previous" ${idx===0?'disabled':''}>← 上一个</button><button class="small-button" id="next" ${idx===tasks.length-1?'disabled':''}>下一个 →</button></div><a href="#success">成功标准 ↓</a></div><div class="instruction"><div class="label">Instruction ${dynamic?'· 可读呈现':'· 官方数据原文'}</div><p>${esc(t.instruction)}</p></div>`;
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if(t.instruction_note)html+=`<p class="description">${esc(t.instruction_note)}</p>`;
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if(t.instruction_metadata)html+=`<details class="metadata"><summary>原始 instruction 元数据与所有对象 / 容器别名</summary><pre>${esc(JSON.stringify(t.instruction_metadata,null,2))}</pre></details>`;
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html+=`<p class="description">${esc(t.description)}</p><div class="facts"><div class="label">Robot<strong>Franka · 单臂</strong></div><div class="label">Published cameras<strong>${esc(DATA.source.camera_order.join(' / '))}</strong></div><div class="label">Official reference<strong>${link(t.doc_url,'成功条件源码 / 文档 ↗')}</strong></div>${t.official_gym_id?`<div class="label">Gym ID<strong class="mono">${esc(t.official_gym_id)}</strong></div>`:''}</div><section><div class="section-bar"><div><h2>完整 MP4 示例</h2><div class="section-note">${dynamic?'OPPOSITE → WRIST → SIDE；每路均为同一个官方 episode。':'FIXED → WRIST；原始 LeRobot 合并视频按官方 episode 时间区间提取。'}</div></div><div class="mode"><button data-mode="combined" class="${mode==='combined'?'active':''}">相机同步 MP4</button><button data-mode="original" class="${mode==='original'?'active':''}">各路 MP4</button></div></div>${ss.map(episode).join('')}</section>`;
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html+=`<section id="success"><div class="section-bar"><h2>Success · 成功与评估标准</h2></div><div class="instruction success"><p>${esc(t.success_rule)}</p></div><div class="warning">这是任务的评估逻辑，不能据此为示例赋分。公开 LeRobot 特征未保存逐条示教的成功标记，actual_episode_success 为 null；没有另行运行模拟器验证示例结果。</div>`;
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if(t.profile)html+=`<details class="metadata"><summary>官方评估 profile / task phases</summary><pre>${esc(JSON.stringify(t.profile,null,2))}</pre></details>`;
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html+=`</section><footer class="source-footer"><p>${esc(DATA.source.note)}</p><p>视频是从官方记录选择并转为 H.264 的完整 episode，保持原始 25 FPS 与逐帧长度。数据源 revision：<span class="mono">${esc(DATA.source.revision)}</span>。</p>${link(DATA.repo_url,'精选数据仓库 ↗')}${link(`https://huggingface.co/datasets/${DATA.source.repo_id}`,'官方完整数据 ↗')}${link(t.doc_url,'官方评估标准 ↗')}<p>上游许可和来源文档保留在数据仓库 reference/。${dynamic?'S-Lab License 1.0，非商业用途。':'保留官方 BSD-3-Clause 许可与数据来源。'}</p></footer>`;
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document.getElementById('main').innerHTML=html;
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for(const [name,step] of [['previous',-1],['next',1]])document.getElementById(name).onclick=()=>{query='';document.getElementById('search').value='';selectTask(tasks[idx+step].task_index);window.scrollTo({top:0})};
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document.querySelectorAll('[data-mode]').forEach(b=>b.onclick=()=>{const y=scrollY;document.querySelectorAll('video').forEach(v=>v.pause());mode=b.dataset.mode;drawTask();window.scrollTo({top:y})});
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bindVideos();
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}
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function bindVideos(){
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document.querySelectorAll('[data-episode]').forEach(el=>{const vs=[...el.querySelectorAll('video')],error=el.querySelector('.error');vs.forEach(v=>v.onerror=()=>{error.hidden=false;error.textContent='此 MP4 加载失败，可用下方文件链接直接打开。'});if(vs.length===1)return;let timer=null;const pause=()=>{vs.forEach(v=>v.pause());clearInterval(timer);timer=null};el.querySelector('[data-play]').onclick=async()=>{try{vs.forEach(v=>{if(v.readyState)v.currentTime=vs[0].currentTime});await Promise.all(vs.map(v=>v.play()));clearInterval(timer);timer=setInterval(()=>{if(!el.isConnected){clearInterval(timer);return}for(const v of vs.slice(1))if(v.readyState&&Math.abs(v.currentTime-vs[0].currentTime)>.2)v.currentTime=vs[0].currentTime},300)}catch(e){pause();error.hidden=false;error.textContent='请点击原播放器，或切换到同步合并 MP4。'}};el.querySelector('[data-pause]').onclick=pause;el.querySelector('[data-reset]').onclick=()=>{pause();vs.forEach(v=>{if(v.readyState)v.currentTime=0})};vs[0].addEventListener('pause',pause);vs[0].addEventListener('ended',pause);});
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}
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document.getElementById('search').oninput=e=>{query=e.target.value;drawList()};
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selectTask(new URLSearchParams(location.search).get('task')??tasks[0].task_index,false);
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'''
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def build():
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source=json.loads((DATA/'provenance/source.json').read_text(encoding='utf-8'))
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tasks=json.loads((DATA/'provenance/tasks.json').read_text(encoding='utf-8'))
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samples=json.loads((DATA/'provenance/samples.json').read_text(encoding='utf-8'))
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publication=json.loads((ROOT/'publication.json').read_text(encoding='utf-8'))
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media_revision=publication['dataset_commit_sha']
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payload=dict(name=NAME,tasks=tasks,samples=samples,source=source,repo_url=f'https://huggingface.co/datasets/Travor278/{NAME}-Task-Examples',github_url='https://github.com/'+source['code_repository'],media_base=f'https://huggingface.co/datasets/Travor278/{NAME}-Task-Examples/resolve/{media_revision}/',file_base=f'https://huggingface.co/datasets/Travor278/{NAME}-Task-Examples/blob/{media_revision}/')
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template=(ROOT/'browser/base.html').read_text(encoding='utf-8')
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template=re.sub(r'<script id="catalog".*?</script>','<script id="catalog" type="application/json">__DATA__</script>',template,flags=re.S)
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template=re.sub(r'<script>.*?</script>',lambda m:'<script>'+JS+'</script>',template,flags=re.S)
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template=template.replace('RoboDojo',NAME).replace('<a href="?task=reference" id="referenceLink">工具演示</a>','')
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template=template.replace('https://huggingface.co/datasets/Travor278/RoboDojo-Task-Examples',payload['repo_url'])
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n=len(samples[0]['views']);aspect=f'{320*n}/{348 if NAME=="ReflexBench" else 268}'
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extra=f'.combined video{{aspect-ratio:{aspect}}}.view video{{aspect-ratio:{"1/1" if NAME=="ReflexBench" else "4/3"}}}.big-id{{font-size:46px;letter-spacing:-2px}}.benchmark-note{{font-size:11px;line-height:1.8;color:var(--muted);padding:13px 16px;border:1px solid var(--line);margin-bottom:22px;background:#e7ecde}}.metadata{{font-size:12px;background:var(--white);border:1px solid var(--line);padding:13px 16px;margin:12px 0}}.metadata summary{{cursor:pointer}}.metadata pre{{white-space:pre-wrap;overflow-wrap:anywhere;line-height:1.7;font-size:11px}}.success p{{font-size:15px}}.source-name{{padding:0 16px 12px;overflow-wrap:anywhere}}.task-heading{{flex-wrap:wrap}}.task-link .id{{font-size:11px;min-width:40px}}.toplinks{{flex-wrap:wrap}}'
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template=template.replace('</style>',extra+'</style>')
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encoded=json.dumps(payload,ensure_ascii=False,separators=(',',':')).replace('</','<\\/')
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OUT.mkdir(exist_ok=True);(OUT/'index.html').write_text(template.replace('__DATA__',encoded),encoding='utf-8')
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(OUT/'README.md').write_text(f'''---
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title: {NAME} Task Examples
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emoji: 🦾
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colorFrom: green
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colorTo: gray
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sdk: static
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app_file: index.html
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fullWidth: true
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---
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# {NAME} Simulation Task Browser
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Official task-indexed selected MP4 episodes, instructions and source-grounded success rules.
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This static Space references videos in the selected dataset; no duplicated media or simulation assets.
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Dataset: {payload['repo_url']}
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''',encoding='utf-8')
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print(f'Built {NAME} browser: {len(tasks)} official instruction IDs, {len(samples)} episodes, media revision {media_revision}')
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if __name__=='__main__':build()
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"""Generate a free static HF Space from selected benchmark metadata."""
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from pathlib import Path
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import json,re,shutil
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ROOT=Path(__file__).resolve().parents[1]
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NAME=json.loads((ROOT/'provenance/source.json').read_text(encoding='utf-8'))['benchmark'] if (ROOT/'provenance/source.json').exists() else ROOT.name
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DATA=ROOT if (ROOT/'provenance/source.json').exists() else ROOT/'dataset'
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OUT=ROOT/'space'
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JS=r'''
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const DATA=JSON.parse(document.getElementById('catalog').textContent);
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const esc=x=>String(x??'').replace(/[&<>"']/g,c=>({'&':'&','<':'<','>':'>','"':'"',"'":'''}[c]));
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const media=p=>DATA.media_base+p.split('/').map(encodeURIComponent).join('/');
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const file=p=>DATA.file_base+p.split('/').map(encodeURIComponent).join('/');
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const link=(u,t)=>`<a href="${esc(u)}" target="_blank" rel="noopener">${esc(t)}</a>`;
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const tasks=[...DATA.tasks].sort((a,b)=>a.task_index-b.task_index);
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const groups=[...new Set(tasks.map(t=>t.category))];
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let current=null,query='',group='all',mode='combined';
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function drawList(){
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document.getElementById('groups').innerHTML=['all',...groups].map(g=>`<button class="group ${g===group?'active':''}" data-group="${esc(g)}" aria-pressed="${g===group}">${g==='all'?'全部':esc(g)}<span>${g==='all'?tasks.length:tasks.filter(t=>t.category===g).length}</span></button>`).join('');
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const numeric=/^\d+$/.test(query.trim());
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const shown=tasks.filter(t=>(numeric||group==='all'||t.category===group)&&(numeric?t.task_index===Number(query):`${t.name} ${t.instruction} ${t.source_filename??''}`.toLowerCase().includes(query.toLowerCase())));
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document.getElementById('listCount').textContent=`${shown.length} / ${tasks.length}`;
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document.getElementById('taskList').innerHTML=shown.map(t=>`<button class="task-link ${current?.task_index===t.task_index?'active':''}" data-task="${t.task_index}"><span class="id mono">${t.task_index}</span><span class="name">${esc(t.name)}</span></button>`).join('')||'<div class="no-results">没有匹配的精选任务序号。</div>';
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document.querySelectorAll('[data-group]').forEach(b=>b.onclick=()=>{group=b.dataset.group;drawList()});
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document.querySelectorAll('[data-task]').forEach(b=>b.onclick=()=>{selectTask(b.dataset.task);window.scrollTo({top:0})});
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}
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function selectTask(id,historyUpdate=true){document.querySelectorAll('video').forEach(v=>v.pause());current=tasks.find(t=>t.task_index===Number(id));if(historyUpdate)history.replaceState({},'',`?task=${id}`);drawList();drawTask();document.querySelector('.task-link.active')?.scrollIntoView({block:'nearest'});}
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function player(p,poster=''){return `<video controls playsinline preload="metadata" src="${esc(media(p))}" ${poster?`poster="${esc(media(poster))}"`:''}></video>`}
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function episode(s){
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const n=s.views.length;
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const content=mode==='combined'?`<div class="view-labels" style="grid-template-columns:repeat(${n},1fr)">${s.views.map(v=>`<span>${esc(v.label)}</span>`).join('')}</div><div class="combined">${player(s.composite_path,s.preview_path)}</div>`:`<div class="views-scroll"><div class="views" style="grid-template-columns:repeat(${n},minmax(220px,1fr));min-width:${n*230}px">${s.views.map(v=>`<div class="view"><div class="camera">${esc(v.label)}</div>${player(v.path)}</div>`).join('')}</div></div>`;
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return `<article class="episode" data-episode="${s.episode_index}"><div class="episode-head"><div><b class="mono">EPISODE ${s.episode_index}</b><div class="episode-meta">官方 task_index=${s.task_index} · ${s.frame_count} frames · ${s.fps} FPS · ${(s.frame_count/s.fps).toFixed(2)} s</div></div><span class="episode-badge">OFFICIAL DATA EXTRACT</span></div>${content}<div class="episode-foot"><div class="source-links">${s.views.map(v=>link(file(v.path),v.label+' MP4')).join('')}${link(media(s.trajectory_path),'动作 / 状态 Parquet')}${link(file(s.composite_path),'同步 MP4 ↗')}</div>${mode==='original'?'<div class="sync-actions"><button data-play>同步播放</button><button data-pause>暂停</button><button data-reset>回到开头</button></div>':''}</div>${s.source_filename?`<div class="episode-meta source-name mono">${esc(s.source_filename)}</div>`:''}<div class="error" hidden></div></article>`;
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}
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function drawTask(){
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const top=`<div class="topline"><span class="stats"><b>${esc(DATA.name)}</b> / ${DATA.samples.length} SELECTED EPISODES / ${DATA.source.camera_order.length} CAMERAS</span><div class="toplinks">${link(DATA.repo_url,'HF 数据仓库 ↗')}${link(DATA.github_url,'官方代码 ↗')}</div></div>`;
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if(!current){document.getElementById('main').innerHTML=top+'<h1>精选集中没有这个序号</h1><p>请从左侧选择，或输入已收录的官方 task_index。</p>';return}
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const t=current,idx=tasks.indexOf(t),ss=DATA.samples.filter(s=>s.task_index===t.task_index),dynamic=DATA.name==='DynamicVLA';
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document.title=`Task ${t.task_index} · ${t.name} · ${DATA.name}`;
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| 39 |
+
let html=top+`<div class="benchmark-note">${dynamic?'DOM 有 3 类任务，但官方 task_index 对应具体语言 / 场景配置。本页是三类各 6 条精选示例，不是完整 140,932 条任务目录。':'ReflexBench 的全部 6 个官方 task_index，每任务 3 条精选完整 episode。上游记录本身多为约 1 秒，此处没有截短、慢放或补帧。'} 单臂 Franka；相机名称保留上游定义。</div><div class="eyebrow">${esc(t.category)} · SIMULATION</div><div class="task-heading"><span class="big-id mono">${t.task_index}</span><h1>${esc(t.name)}</h1></div><div class="toplinks" style="margin-bottom:20px"><span class="muted mono">OFFICIAL task_index = ${t.task_index}</span><div class="nav-buttons"><button class="small-button" id="previous" ${idx===0?'disabled':''}>← 上一个</button><button class="small-button" id="next" ${idx===tasks.length-1?'disabled':''}>下一个 →</button></div><a href="#success">成功标准 ↓</a></div><div class="instruction"><div class="label">Instruction ${dynamic?'· 可读呈现':'· 官方数据原文'}</div><p>${esc(t.instruction)}</p></div>`;
|
| 40 |
+
if(t.instruction_note)html+=`<p class="description">${esc(t.instruction_note)}</p>`;
|
| 41 |
+
if(t.instruction_metadata)html+=`<details class="metadata"><summary>原始 instruction 元数据与所有对象 / 容器别名</summary><pre>${esc(JSON.stringify(t.instruction_metadata,null,2))}</pre></details>`;
|
| 42 |
+
html+=`<p class="description">${esc(t.description)}</p><div class="facts"><div class="label">Robot<strong>Franka · 单臂</strong></div><div class="label">Published cameras<strong>${esc(DATA.source.camera_order.join(' / '))}</strong></div><div class="label">Official reference<strong>${link(t.doc_url,'成功条件源码 / 文档 ↗')}</strong></div>${t.official_gym_id?`<div class="label">Gym ID<strong class="mono">${esc(t.official_gym_id)}</strong></div>`:''}</div><section><div class="section-bar"><div><h2>完整 MP4 示例</h2><div class="section-note">${dynamic?'OPPOSITE → WRIST → SIDE；每路均为同一个官方 episode。':'FIXED → WRIST；原始 LeRobot 合并视频按官方 episode 时间区间提取。'}</div></div><div class="mode"><button data-mode="combined" class="${mode==='combined'?'active':''}">相机同步 MP4</button><button data-mode="original" class="${mode==='original'?'active':''}">各路 MP4</button></div></div>${ss.map(episode).join('')}</section>`;
|
| 43 |
+
html+=`<section id="success"><div class="section-bar"><h2>Success · 成功与评估标准</h2></div><div class="instruction success"><p>${esc(t.success_rule)}</p></div><div class="warning">这是任务的评估逻辑，不能据此为示例赋分。公开 LeRobot 特征未保存逐条示教的成功标记，actual_episode_success 为 null；没有另行运行模拟器验证示例结果。</div>`;
|
| 44 |
+
if(t.profile)html+=`<details class="metadata"><summary>官方评估 profile / task phases</summary><pre>${esc(JSON.stringify(t.profile,null,2))}</pre></details>`;
|
| 45 |
+
html+=`</section><footer class="source-footer"><p>${esc(DATA.source.note)}</p><p>视频是从官方记录选择并转为 H.264 的完整 episode，保持原始 25 FPS 与逐帧长度。数据源 revision：<span class="mono">${esc(DATA.source.revision)}</span>。</p>${link(DATA.repo_url,'精选数据仓库 ↗')}${link(`https://huggingface.co/datasets/${DATA.source.repo_id}`,'官方完整数据 ↗')}${link(t.doc_url,'官方评估标准 ↗')}<p>上游许可和来源文档保留在数据仓库 reference/。${dynamic?'S-Lab License 1.0，非商业用途。':'保留官方 BSD-3-Clause 许可与数据来源。'}</p></footer>`;
|
| 46 |
+
document.getElementById('main').innerHTML=html;
|
| 47 |
+
for(const [name,step] of [['previous',-1],['next',1]])document.getElementById(name).onclick=()=>{query='';document.getElementById('search').value='';selectTask(tasks[idx+step].task_index);window.scrollTo({top:0})};
|
| 48 |
+
document.querySelectorAll('[data-mode]').forEach(b=>b.onclick=()=>{const y=scrollY;document.querySelectorAll('video').forEach(v=>v.pause());mode=b.dataset.mode;drawTask();window.scrollTo({top:y})});
|
| 49 |
+
bindVideos();
|
| 50 |
+
}
|
| 51 |
+
function bindVideos(){
|
| 52 |
+
document.querySelectorAll('[data-episode]').forEach(el=>{const vs=[...el.querySelectorAll('video')],error=el.querySelector('.error');vs.forEach(v=>v.onerror=()=>{error.hidden=false;error.textContent='此 MP4 加载失败，可用下方文件链接直接打开。'});if(vs.length===1)return;let timer=null;const pause=()=>{vs.forEach(v=>v.pause());clearInterval(timer);timer=null};el.querySelector('[data-play]').onclick=async()=>{try{vs.forEach(v=>{if(v.readyState)v.currentTime=vs[0].currentTime});await Promise.all(vs.map(v=>v.play()));clearInterval(timer);timer=setInterval(()=>{if(!el.isConnected){clearInterval(timer);return}for(const v of vs.slice(1))if(v.readyState&&Math.abs(v.currentTime-vs[0].currentTime)>.2)v.currentTime=vs[0].currentTime},300)}catch(e){pause();error.hidden=false;error.textContent='请点击原播放器，或切换到同步合并 MP4。'}};el.querySelector('[data-pause]').onclick=pause;el.querySelector('[data-reset]').onclick=()=>{pause();vs.forEach(v=>{if(v.readyState)v.currentTime=0})};vs[0].addEventListener('pause',pause);vs[0].addEventListener('ended',pause);});
|
| 53 |
+
}
|
| 54 |
+
document.getElementById('search').oninput=e=>{query=e.target.value;drawList()};
|
| 55 |
+
selectTask(new URLSearchParams(location.search).get('task')??tasks[0].task_index,false);
|
| 56 |
+
'''
|
| 57 |
+
|
| 58 |
+
def build():
|
| 59 |
+
source=json.loads((DATA/'provenance/source.json').read_text(encoding='utf-8'))
|
| 60 |
+
tasks=json.loads((DATA/'provenance/tasks.json').read_text(encoding='utf-8'))
|
| 61 |
+
samples=json.loads((DATA/'provenance/samples.json').read_text(encoding='utf-8'))
|
| 62 |
+
publication=json.loads(((ROOT/'publication.json') if (ROOT/'publication.json').exists() else (DATA/'provenance/media_publication.json')).read_text(encoding='utf-8'))
|
| 63 |
+
media_revision=publication['dataset_commit_sha']
|
| 64 |
+
payload=dict(name=NAME,tasks=tasks,samples=samples,source=source,repo_url=f'https://huggingface.co/datasets/Travor278/{NAME}-Task-Examples',github_url='https://github.com/'+source['code_repository'],media_base=f'https://huggingface.co/datasets/Travor278/{NAME}-Task-Examples/resolve/{media_revision}/',file_base=f'https://huggingface.co/datasets/Travor278/{NAME}-Task-Examples/blob/{media_revision}/')
|
| 65 |
+
template=(ROOT/'browser/base.html').read_text(encoding='utf-8')
|
| 66 |
+
template=re.sub(r'<script id="catalog".*?</script>','<script id="catalog" type="application/json">__DATA__</script>',template,flags=re.S)
|
| 67 |
+
template=re.sub(r'<script>.*?</script>',lambda m:'<script>'+JS+'</script>',template,flags=re.S)
|
| 68 |
+
template=template.replace('RoboDojo',NAME).replace('<a href="?task=reference" id="referenceLink">工具演示</a>','')
|
| 69 |
+
template=template.replace('https://huggingface.co/datasets/Travor278/RoboDojo-Task-Examples',payload['repo_url'])
|
| 70 |
+
n=len(samples[0]['views']);aspect=f'{320*n}/{348 if NAME=="ReflexBench" else 268}'
|
| 71 |
+
extra=f'.combined video{{aspect-ratio:{aspect}}}.view video{{aspect-ratio:{"1/1" if NAME=="ReflexBench" else "4/3"}}}.big-id{{font-size:46px;letter-spacing:-2px}}.benchmark-note{{font-size:11px;line-height:1.8;color:var(--muted);padding:13px 16px;border:1px solid var(--line);margin-bottom:22px;background:#e7ecde}}.metadata{{font-size:12px;background:var(--white);border:1px solid var(--line);padding:13px 16px;margin:12px 0}}.metadata summary{{cursor:pointer}}.metadata pre{{white-space:pre-wrap;overflow-wrap:anywhere;line-height:1.7;font-size:11px}}.success p{{font-size:15px}}.source-name{{padding:0 16px 12px;overflow-wrap:anywhere}}.task-heading{{flex-wrap:wrap}}.task-link .id{{font-size:11px;min-width:40px}}.toplinks{{flex-wrap:wrap}}'
|
| 72 |
+
template=template.replace('</style>',extra+'</style>')
|
| 73 |
+
encoded=json.dumps(payload,ensure_ascii=False,separators=(',',':')).replace('</','<\\/')
|
| 74 |
+
OUT.mkdir(exist_ok=True);(OUT/'index.html').write_text(template.replace('__DATA__',encoded),encoding='utf-8')
|
| 75 |
+
(OUT/'README.md').write_text(f'''---
|
| 76 |
+
title: {NAME} Task Examples
|
| 77 |
+
emoji: 🦾
|
| 78 |
+
colorFrom: green
|
| 79 |
+
colorTo: gray
|
| 80 |
+
sdk: static
|
| 81 |
+
app_file: index.html
|
| 82 |
+
fullWidth: true
|
| 83 |
+
---
|
| 84 |
+
|
| 85 |
+
# {NAME} Simulation Task Browser
|
| 86 |
+
|
| 87 |
+
Official task-indexed selected MP4 episodes, instructions and source-grounded success rules.
|
| 88 |
+
This static Space references videos in the selected dataset; no duplicated media or simulation assets.
|
| 89 |
+
|
| 90 |
+
Dataset: {payload['repo_url']}
|
| 91 |
+
''',encoding='utf-8')
|
| 92 |
+
print(f'Built {NAME} browser: {len(tasks)} official instruction IDs, {len(samples)} episodes, media revision {media_revision}')
|
| 93 |
+
|
| 94 |
+
if __name__=='__main__':build()
|
scripts/build_examples.py
CHANGED
|
@@ -23,6 +23,13 @@ SESSION.mount('https://',HTTPAdapter(max_retries=Retry(total=4,backoff_factor=.6
|
|
| 23 |
|
| 24 |
def read(p):return json.loads(p.read_text(encoding='utf-8'))
|
| 25 |
def write(p,x):p.parent.mkdir(parents=True,exist_ok=True);p.write_text(json.dumps(x,indent=2,ensure_ascii=False),encoding='utf-8')
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
def url(p):return f'https://huggingface.co/datasets/{REPO}/resolve/{SOURCE_REV}/{p}'
|
| 27 |
def download_file(p,dst):
|
| 28 |
if dst.exists():return
|
|
@@ -137,11 +144,11 @@ def prepare():
|
|
| 137 |
eid=ep['episode_index'];path=f'data/chunk-{eid//1000:03d}/episode_{eid:06d}.parquet';local=WORK/f'episode_{eid:06d}.parquet';download_file(path,local);table=pq.read_table(local);ids=set(table['task_index'].to_pylist());assert len(ids)==1;index=ids.pop();assert set(table['episode_index'].to_pylist())=={eid};assert table.num_rows==ep['length']
|
| 138 |
task_meta=lookup_jsonl('meta/tasks.jsonl',index,'task_index',63111962);assert task_meta['task']==ep['tasks'];meta=json.loads(ep['tasks']);kind=meta['task'];cam=lookup_jsonl('meta/camera.jsonl',eid,'episode_index',173353120)
|
| 139 |
obj=meta['objects'][0];container=meta.get('containers',[''])[0]
|
| 140 |
-
instruction=
|
| 141 |
# This deterministic sentence is a readable rendering, not a recorded literal prompt.
|
| 142 |
rule='Success requires object-to-end-effector distance < tolerance and end-effector-to-configured-goal distance < tolerance. The current default tolerance is 0.015 m; per-scene overrides may differ.' if kind=='pick' else 'Success requires ALL target objects to satisfy the container-relative geometric placement check, and the end effector to return within tolerance of the configured goal. Current default return tolerance is 0.015 m; per-scene overrides may differ.'
|
| 143 |
key=f'task_{index:06d}'
|
| 144 |
-
task=dict(task_index=index,key=key,name=f'{kind.replace("_"," ").title()} · {obj}',category={'pick':'Pick','place':'Place','long_horizon':'Long-Horizon'}[kind],instruction=instruction,instruction_note='
|
| 145 |
if index not in {t['task_index'] for t in tasks}:tasks.append(task)
|
| 146 |
views=[dict(camera=c,label=label,path=f'media/{key}/episode_{eid:06d}/{c}.mp4',source_path=f'videos/chunk-{eid//1000:03d}/observation.images.{c}/episode_{eid:06d}.mp4') for c,label in [('opst_cam','OPPOSITE CAMERA'),('wrist_cam','WRIST CAMERA'),('side_cam','SIDE CAMERA')]]
|
| 147 |
samples.append(dict(task_index=index,task_key=key,episode_index=eid,frame_count=ep['length'],fps=25,instruction=instruction,instruction_metadata=meta,official_task_record=task_meta,camera_metadata=cam,source_filename=cam['filename'],views=views,trajectory_source_path=path,trajectory_path=f'trajectories/{key}/episode_{eid:06d}.parquet',composite_path=f'media/{key}/episode_{eid:06d}/synchronized.mp4',preview_path=f'media/{key}/episode_{eid:06d}/preview.jpg'))
|
|
|
|
| 23 |
|
| 24 |
def read(p):return json.loads(p.read_text(encoding='utf-8'))
|
| 25 |
def write(p,x):p.parent.mkdir(parents=True,exist_ok=True);p.write_text(json.dumps(x,indent=2,ensure_ascii=False),encoding='utf-8')
|
| 26 |
+
def readable_instruction(meta):
|
| 27 |
+
obj=meta['objects'][0];obj_phrase=obj if obj.lower().startswith(('the ','all ')) else 'the '+obj
|
| 28 |
+
if meta['task']=='pick':return f'Pick up {obj_phrase}.'
|
| 29 |
+
container=meta.get('containers',['target container'])[0]
|
| 30 |
+
container_phrase=container if container.lower().startswith('the ') else 'the '+container
|
| 31 |
+
pronoun='them' if 'set of objects' in obj.lower() else 'it'
|
| 32 |
+
return f'Pick up {obj_phrase} and place {pronoun} in/on {container_phrase}.'
|
| 33 |
def url(p):return f'https://huggingface.co/datasets/{REPO}/resolve/{SOURCE_REV}/{p}'
|
| 34 |
def download_file(p,dst):
|
| 35 |
if dst.exists():return
|
|
|
|
| 144 |
eid=ep['episode_index'];path=f'data/chunk-{eid//1000:03d}/episode_{eid:06d}.parquet';local=WORK/f'episode_{eid:06d}.parquet';download_file(path,local);table=pq.read_table(local);ids=set(table['task_index'].to_pylist());assert len(ids)==1;index=ids.pop();assert set(table['episode_index'].to_pylist())=={eid};assert table.num_rows==ep['length']
|
| 145 |
task_meta=lookup_jsonl('meta/tasks.jsonl',index,'task_index',63111962);assert task_meta['task']==ep['tasks'];meta=json.loads(ep['tasks']);kind=meta['task'];cam=lookup_jsonl('meta/camera.jsonl',eid,'episode_index',173353120)
|
| 146 |
obj=meta['objects'][0];container=meta.get('containers',[''])[0]
|
| 147 |
+
instruction=readable_instruction(meta)
|
| 148 |
# This deterministic sentence is a readable rendering, not a recorded literal prompt.
|
| 149 |
rule='Success requires object-to-end-effector distance < tolerance and end-effector-to-configured-goal distance < tolerance. The current default tolerance is 0.015 m; per-scene overrides may differ.' if kind=='pick' else 'Success requires ALL target objects to satisfy the container-relative geometric placement check, and the end effector to return within tolerance of the configured goal. Current default return tolerance is 0.015 m; per-scene overrides may differ.'
|
| 150 |
key=f'task_{index:06d}'
|
| 151 |
+
task=dict(task_index=index,key=key,name=f'{kind.replace("_"," ").title()} · {container if kind=="long_horizon" else obj}',category={'pick':'Pick','place':'Place','long_horizon':'Long-Horizon'}[kind],instruction=instruction,instruction_note='根据官方结构化 instruction 和首个别名确定性呈现；原记录没有保存采集时使用的具体随机语言变体，完整别名见下方元数据。',instruction_metadata=meta,description=f'Official DOM simulation scenario {cam["filename"]}. Object/container aliases are preserved in the metadata.',success_rule=rule,doc_url=f'https://github.com/{GITHUB}/blob/{code_rev}/simulations/configs/termination_cfg.py',source_filename=cam['filename'],published_episode_count=None)
|
| 152 |
if index not in {t['task_index'] for t in tasks}:tasks.append(task)
|
| 153 |
views=[dict(camera=c,label=label,path=f'media/{key}/episode_{eid:06d}/{c}.mp4',source_path=f'videos/chunk-{eid//1000:03d}/observation.images.{c}/episode_{eid:06d}.mp4') for c,label in [('opst_cam','OPPOSITE CAMERA'),('wrist_cam','WRIST CAMERA'),('side_cam','SIDE CAMERA')]]
|
| 154 |
samples.append(dict(task_index=index,task_key=key,episode_index=eid,frame_count=ep['length'],fps=25,instruction=instruction,instruction_metadata=meta,official_task_record=task_meta,camera_metadata=cam,source_filename=cam['filename'],views=views,trajectory_source_path=path,trajectory_path=f'trajectories/{key}/episode_{eid:06d}.parquet',composite_path=f'media/{key}/episode_{eid:06d}/synchronized.mp4',preview_path=f'media/{key}/episode_{eid:06d}/preview.jpg'))
|