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data_viewer/indexes/bee_stage1/608c0dfd66344a0d.json
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data_viewer/indexes/bee_stage2/595294e069a92077.json
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data_viewer/indexes/penguin_recap_i/702cbe8db777d7a6.json
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data_viewer/indexes/s1_llava_558k/2c6be22c1bc620b1.json
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hf_dataset_size_reports/llava_onevision_mid_training_85m/concise.html
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<title>mvp-lab/LLaVA-OneVision-1.5-Mid-Training-85M Dataset Size Report (Concise)</title>
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<style>
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h1, h2, p { margin-top: 0; }
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code {
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|
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margin-bottom: 10px;
|
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|
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|
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|
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|
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|
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|
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|
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th.sortable::after { content: "sort"; margin-left: 6px; color: #5f7d88; font-weight: 500; }
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tr:last-child td { border-bottom: 0; }
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|
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|
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|
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|
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|
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|
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|
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margin-bottom: 10px;
|
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|
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input[type="search"] {
|
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width: min(520px, 100%);
|
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border: 1px solid var(--line);
|
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border-radius: 6px;
|
| 141 |
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|
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|
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|
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|
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|
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|
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|
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|
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dt { margin-top: 8px; }
|
| 150 |
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h1 { font-size: 25px; }
|
| 151 |
+
}
|
| 152 |
+
</style>
|
| 153 |
+
</head>
|
| 154 |
+
<body>
|
| 155 |
+
<main>
|
| 156 |
+
<header>
|
| 157 |
+
<h1>Dataset Size Report (Concise)</h1>
|
| 158 |
+
<p class="muted"><code>mvp-lab/LLaVA-OneVision-1.5-Mid-Training-85M</code> created 2026-05-12T20:35:16.757208+00:00</p>
|
| 159 |
+
</header>
|
| 160 |
+
|
| 161 |
+
|
| 162 |
+
|
| 163 |
+
<section class="cards" aria-label="Summary">
|
| 164 |
+
<div class="card"><div class="label">Total Size</div><div class="value">46.66 TB</div></div>
|
| 165 |
+
<div class="card"><div class="label">Files</div><div class="value">12,126</div></div>
|
| 166 |
+
<div class="card"><div class="label">Known Size Files</div><div class="value">12,126</div></div>
|
| 167 |
+
<div class="card"><div class="label">Unknown Size Files</div><div class="value">0</div></div>
|
| 168 |
+
<div class="card"><div class="label">Subsets</div><div class="value">9</div></div>
|
| 169 |
+
<div class="card"><div class="label">Directories</div><div class="value">246</div></div>
|
| 170 |
+
</section>
|
| 171 |
+
|
| 172 |
+
<section class="panel">
|
| 173 |
+
<h2>Run</h2>
|
| 174 |
+
<dl>
|
| 175 |
+
<dt>Repository</dt>
|
| 176 |
+
<dd><code>mvp-lab/LLaVA-OneVision-1.5-Mid-Training-85M</code></dd>
|
| 177 |
+
<dt>Repository type</dt>
|
| 178 |
+
<dd>dataset</dd>
|
| 179 |
+
<dt>Revision</dt>
|
| 180 |
+
<dd><code>(default)</code></dd>
|
| 181 |
+
<dt>Path in repo</dt>
|
| 182 |
+
<dd><code>(entire repository)</code></dd>
|
| 183 |
+
<dt>Total bytes</dt>
|
| 184 |
+
<dd>46,662,982,787,572 bytes</dd>
|
| 185 |
+
</dl>
|
| 186 |
+
</section>
|
| 187 |
+
|
| 188 |
+
<section>
|
| 189 |
+
<h2>Subset Contribution</h2>
|
| 190 |
+
<div class="table-wrap">
|
| 191 |
+
<table class="sortable-table">
|
| 192 |
+
<thead>
|
| 193 |
+
<tr>
|
| 194 |
+
<th class="sortable" data-type="text">Subset</th>
|
| 195 |
+
<th class="sortable" data-type="number">Size</th>
|
| 196 |
+
<th class="sortable" data-type="number">Percent</th>
|
| 197 |
+
<th class="sortable" data-type="number">Files</th>
|
| 198 |
+
<th class="sortable" data-type="number">Unknown Size Files</th>
|
| 199 |
+
</tr>
|
| 200 |
+
</thead>
|
| 201 |
+
<tbody>
|
| 202 |
+
<tr><td class="path" data-sort="obelics"><code>obelics</code></td><td data-sort="24349017778319">24.35 TB</td><td data-sort="52.180585817167">52.1806%</td><td data-sort="5803">5,803</td><td data-sort="0">0</td></tr>
|
| 203 |
+
<tr><td class="path" data-sort="coyo"><code>coyo</code></td><td data-sort="6384334664251">6.38 TB</td><td data-sort="13.681797182394">13.6818%</td><td data-sort="1940">1,940</td><td data-sort="0">0</td></tr>
|
| 204 |
+
<tr><td class="path" data-sort="sa1b"><code>sa1b</code></td><td data-sort="5094154966969">5.09 TB</td><td data-sort="10.916908141427">10.9169%</td><td data-sort="1147">1,147</td><td data-sort="0">0</td></tr>
|
| 205 |
+
<tr><td class="path" data-sort="zero250m"><code>zero250m</code></td><td data-sort="4764938869291">4.76 TB</td><td data-sort="10.211389381135">10.2114%</td><td data-sort="1310">1,310</td><td data-sort="0">0</td></tr>
|
| 206 |
+
<tr><td class="path" data-sort="mint"><code>mint</code></td><td data-sort="2200901272316">2.20 TB</td><td data-sort="4.716589340924">4.7166%</td><td data-sort="705">705</td><td data-sort="0">0</td></tr>
|
| 207 |
+
<tr><td class="path" data-sort="datacomp1b"><code>datacomp1b</code></td><td data-sort="1893495923849">1.89 TB</td><td data-sort="4.057811590118">4.0578%</td><td data-sort="575">575</td><td data-sort="0">0</td></tr>
|
| 208 |
+
<tr><td class="path" data-sort="laioncn"><code>laioncn</code></td><td data-sort="1742192101834">1.74 TB</td><td data-sort="3.733563518143">3.7336%</td><td data-sort="562">562</td><td data-sort="0">0</td></tr>
|
| 209 |
+
<tr><td class="path" data-sort="imagenet"><code>imagenet</code></td><td data-sort="233947207103">233.95 GB</td><td data-sort="0.501355020891">0.5014%</td><td data-sort="82">82</td><td data-sort="0">0</td></tr>
|
| 210 |
+
<tr><td class="path" data-sort="(root)"><code>(root)</code></td><td data-sort="3640">3.64 KB</td><td data-sort="0.000000007801">0.0000%</td><td data-sort="2">2</td><td data-sort="0">0</td></tr>
|
| 211 |
+
</tbody>
|
| 212 |
+
</table>
|
| 213 |
+
</div>
|
| 214 |
+
</section>
|
| 215 |
+
|
| 216 |
+
<section>
|
| 217 |
+
<h2>Largest Directories</h2>
|
| 218 |
+
<p class="muted">Top 100 directories by total known file size. Ancestor directories include their descendants.</p>
|
| 219 |
+
<div class="table-wrap">
|
| 220 |
+
<table class="sortable-table">
|
| 221 |
+
<thead>
|
| 222 |
+
<tr>
|
| 223 |
+
<th class="sortable" data-type="text">Directory</th>
|
| 224 |
+
<th class="sortable" data-type="number">Size</th>
|
| 225 |
+
<th class="sortable" data-type="number">Percent</th>
|
| 226 |
+
<th class="sortable" data-type="number">Files</th>
|
| 227 |
+
<th class="sortable" data-type="number">Unknown Size Files</th>
|
| 228 |
+
</tr>
|
| 229 |
+
</thead>
|
| 230 |
+
<tbody>
|
| 231 |
+
<tr><td class="path" data-sort="obelics"><code>obelics</code></td><td data-sort="24349017778319">24.35 TB</td><td data-sort="52.180585817167">52.1806%</td><td data-sort="5803">5,803</td><td data-sort="0">0</td></tr>
|
| 232 |
+
<tr><td class="path" data-sort="obelics/EN"><code>obelics/EN</code></td><td data-sort="19687051446457">19.69 TB</td><td data-sort="42.189869293354">42.1899%</td><td data-sort="4743">4,743</td><td data-sort="0">0</td></tr>
|
| 233 |
+
<tr><td class="path" data-sort="coyo"><code>coyo</code></td><td data-sort="6384334664251">6.38 TB</td><td data-sort="13.681797182394">13.6818%</td><td data-sort="1940">1,940</td><td data-sort="0">0</td></tr>
|
| 234 |
+
<tr><td class="path" data-sort="sa1b"><code>sa1b</code></td><td data-sort="5094154966969">5.09 TB</td><td data-sort="10.916908141427">10.9169%</td><td data-sort="1147">1,147</td><td data-sort="0">0</td></tr>
|
| 235 |
+
<tr><td class="path" data-sort="coyo/EN"><code>coyo/EN</code></td><td data-sort="4904356923584">4.90 TB</td><td data-sort="10.510165940121">10.5102%</td><td data-sort="1504">1,504</td><td data-sort="0">0</td></tr>
|
| 236 |
+
<tr><td class="path" data-sort="zero250m"><code>zero250m</code></td><td data-sort="4764938869291">4.76 TB</td><td data-sort="10.211389381135">10.2114%</td><td data-sort="1310">1,310</td><td data-sort="0">0</td></tr>
|
| 237 |
+
<tr><td class="path" data-sort="obelics/CN"><code>obelics/CN</code></td><td data-sort="4661966331862">4.66 TB</td><td data-sort="9.990716523813">9.9907%</td><td data-sort="1060">1,060</td><td data-sort="0">0</td></tr>
|
| 238 |
+
<tr><td class="path" data-sort="sa1b/EN"><code>sa1b/EN</code></td><td data-sort="3993390812065">3.99 TB</td><td data-sort="8.557941592042">8.5579%</td><td data-sort="900">900</td><td data-sort="0">0</td></tr>
|
| 239 |
+
<tr><td class="path" data-sort="zero250m/EN"><code>zero250m/EN</code></td><td data-sort="3603278925505">3.60 TB</td><td data-sort="7.721921553769">7.7219%</td><td data-sort="925">925</td><td data-sort="0">0</td></tr>
|
| 240 |
+
<tr><td class="path" data-sort="mint"><code>mint</code></td><td data-sort="2200901272316">2.20 TB</td><td data-sort="4.716589340924">4.7166%</td><td data-sort="705">705</td><td data-sort="0">0</td></tr>
|
| 241 |
+
<tr><td class="path" data-sort="datacomp1b"><code>datacomp1b</code></td><td data-sort="1893495923849">1.89 TB</td><td data-sort="4.057811590118">4.0578%</td><td data-sort="575">575</td><td data-sort="0">0</td></tr>
|
| 242 |
+
<tr><td class="path" data-sort="laioncn"><code>laioncn</code></td><td data-sort="1742192101834">1.74 TB</td><td data-sort="3.733563518143">3.7336%</td><td data-sort="562">562</td><td data-sort="0">0</td></tr>
|
| 243 |
+
<tr><td class="path" data-sort="mint/EN"><code>mint/EN</code></td><td data-sort="1692782301049">1.69 TB</td><td data-sort="3.627677014895">3.6277%</td><td data-sort="553">553</td><td data-sort="0">0</td></tr>
|
| 244 |
+
<tr><td class="path" data-sort="coyo/Language-CN"><code>coyo/Language-CN</code></td><td data-sort="1479977740667">1.48 TB</td><td data-sort="3.171631242273">3.1716%</td><td data-sort="436">436</td><td data-sort="0">0</td></tr>
|
| 245 |
+
<tr><td class="path" data-sort="datacomp1b/EN"><code>datacomp1b/EN</code></td><td data-sort="1423391961998">1.42 TB</td><td data-sort="3.050366429591">3.0504%</td><td data-sort="439">439</td><td data-sort="0">0</td></tr>
|
| 246 |
+
<tr><td class="path" data-sort="laioncn/EN"><code>laioncn/EN</code></td><td data-sort="1326539012217">1.33 TB</td><td data-sort="2.842808009629">2.8428%</td><td data-sort="430">430</td><td data-sort="0">0</td></tr>
|
| 247 |
+
<tr><td class="path" data-sort="zero250m/CN"><code>zero250m/CN</code></td><td data-sort="1161659943786">1.16 TB</td><td data-sort="2.489467827366">2.4895%</td><td data-sort="385">385</td><td data-sort="0">0</td></tr>
|
| 248 |
+
<tr><td class="path" data-sort="sa1b/CN"><code>sa1b/CN</code></td><td data-sort="1100764154904">1.10 TB</td><td data-sort="2.358966549385">2.3590%</td><td data-sort="247">247</td><td data-sort="0">0</td></tr>
|
| 249 |
+
<tr><td class="path" data-sort="obelics/CN/part01"><code>obelics/CN/part01</code></td><td data-sort="546249148257">546.25 GB</td><td data-sort="1.170626298674">1.1706%</td><td data-sort="123">123</td><td data-sort="0">0</td></tr>
|
| 250 |
+
<tr><td class="path" data-sort="obelics/CN/part06"><code>obelics/CN/part06</code></td><td data-sort="542085327605">542.09 GB</td><td data-sort="1.161703121450">1.1617%</td><td data-sort="123">123</td><td data-sort="0">0</td></tr>
|
| 251 |
+
<tr><td class="path" data-sort="obelics/CN/part07"><code>obelics/CN/part07</code></td><td data-sort="541984861245">541.98 GB</td><td data-sort="1.161487819397">1.1615%</td><td data-sort="123">123</td><td data-sort="0">0</td></tr>
|
| 252 |
+
<tr><td class="path" data-sort="obelics/CN/part05"><code>obelics/CN/part05</code></td><td data-sort="541880937408">541.88 GB</td><td data-sort="1.161265107880">1.1613%</td><td data-sort="123">123</td><td data-sort="0">0</td></tr>
|
| 253 |
+
<tr><td class="path" data-sort="obelics/CN/part02"><code>obelics/CN/part02</code></td><td data-sort="540893037216">540.89 GB</td><td data-sort="1.159148011773">1.1591%</td><td data-sort="123">123</td><td data-sort="0">0</td></tr>
|
| 254 |
+
<tr><td class="path" data-sort="obelics/CN/part04"><code>obelics/CN/part04</code></td><td data-sort="538577151972">538.58 GB</td><td data-sort="1.154185008755">1.1542%</td><td data-sort="123">123</td><td data-sort="0">0</td></tr>
|
| 255 |
+
<tr><td class="path" data-sort="obelics/CN/part03"><code>obelics/CN/part03</code></td><td data-sort="536591169487">536.59 GB</td><td data-sort="1.149928996030">1.1499%</td><td data-sort="122">122</td><td data-sort="0">0</td></tr>
|
| 256 |
+
<tr><td class="path" data-sort="obelics/CN/part00"><code>obelics/CN/part00</code></td><td data-sort="534960407427">534.96 GB</td><td data-sort="1.146434230024">1.1464%</td><td data-sort="123">123</td><td data-sort="0">0</td></tr>
|
| 257 |
+
<tr><td class="path" data-sort="mint/CN"><code>mint/CN</code></td><td data-sort="508118971267">508.12 GB</td><td data-sort="1.088912326030">1.0889%</td><td data-sort="152">152</td><td data-sort="0">0</td></tr>
|
| 258 |
+
<tr><td class="path" data-sort="zero250m/CN/part01"><code>zero250m/CN/part01</code></td><td data-sort="492629241943">492.63 GB</td><td data-sort="1.055717428493">1.0557%</td><td data-sort="163">163</td><td data-sort="0">0</td></tr>
|
| 259 |
+
<tr><td class="path" data-sort="zero250m/CN/part00"><code>zero250m/CN/part00</code></td><td data-sort="492084053586">492.08 GB</td><td data-sort="1.054549075498">1.0545%</td><td data-sort="163">163</td><td data-sort="0">0</td></tr>
|
| 260 |
+
<tr><td class="path" data-sort="datacomp1b/CN"><code>datacomp1b/CN</code></td><td data-sort="470103961851">470.10 GB</td><td data-sort="1.007445160527">1.0074%</td><td data-sort="136">136</td><td data-sort="0">0</td></tr>
|
| 261 |
+
<tr><td class="path" data-sort="coyo/Language-CN/part02"><code>coyo/Language-CN/part02</code></td><td data-sort="421256198076">421.26 GB</td><td data-sort="0.902763117381">0.9028%</td><td data-sort="124">124</td><td data-sort="0">0</td></tr>
|
| 262 |
+
<tr><td class="path" data-sort="coyo/Language-CN/part01"><code>coyo/Language-CN/part01</code></td><td data-sort="420940267719">420.94 GB</td><td data-sort="0.902086070312">0.9021%</td><td data-sort="124">124</td><td data-sort="0">0</td></tr>
|
| 263 |
+
<tr><td class="path" data-sort="coyo/Language-CN/part00"><code>coyo/Language-CN/part00</code></td><td data-sort="420651633769">420.65 GB</td><td data-sort="0.901467520163">0.9015%</td><td data-sort="124">124</td><td data-sort="0">0</td></tr>
|
| 264 |
+
<tr><td class="path" data-sort="laioncn/CN"><code>laioncn/CN</code></td><td data-sort="415653089617">415.65 GB</td><td data-sort="0.890755508513">0.8908%</td><td data-sort="132">132</td><td data-sort="0">0</td></tr>
|
| 265 |
+
<tr><td class="path" data-sort="obelics/CN/part08"><code>obelics/CN/part08</code></td><td data-sort="338744291245">338.74 GB</td><td data-sort="0.725937929830">0.7259%</td><td data-sort="77">77</td><td data-sort="0">0</td></tr>
|
| 266 |
+
<tr><td class="path" data-sort="datacomp1b/CN/part00"><code>datacomp1b/CN/part00</code></td><td data-sort="285254897076">285.25 GB</td><td data-sort="0.611308750610">0.6113%</td><td data-sort="83">83</td><td data-sort="0">0</td></tr>
|
| 267 |
+
<tr><td class="path" data-sort="obelics/EN/part05"><code>obelics/EN/part05</code></td><td data-sort="267758464383">267.76 GB</td><td data-sort="0.573813434949">0.5738%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 268 |
+
<tr><td class="path" data-sort="mint/EN/part03"><code>mint/EN/part03</code></td><td data-sort="266564495322">266.56 GB</td><td data-sort="0.571254727833">0.5713%</td><td data-sort="84">84</td><td data-sort="0">0</td></tr>
|
| 269 |
+
<tr><td class="path" data-sort="obelics/EN/part30"><code>obelics/EN/part30</code></td><td data-sort="266521097540">266.52 GB</td><td data-sort="0.571161725244">0.5712%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 270 |
+
<tr><td class="path" data-sort="obelics/EN/part11"><code>obelics/EN/part11</code></td><td data-sort="266107942967">266.11 GB</td><td data-sort="0.570276324123">0.5703%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 271 |
+
<tr><td class="path" data-sort="obelics/EN/part15"><code>obelics/EN/part15</code></td><td data-sort="265984135144">265.98 GB</td><td data-sort="0.570011000700">0.5700%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 272 |
+
<tr><td class="path" data-sort="mint/EN/part01"><code>mint/EN/part01</code></td><td data-sort="265924287264">265.92 GB</td><td data-sort="0.569882745119">0.5699%</td><td data-sort="84">84</td><td data-sort="0">0</td></tr>
|
| 273 |
+
<tr><td class="path" data-sort="obelics/EN/part46"><code>obelics/EN/part46</code></td><td data-sort="265729978655">265.73 GB</td><td data-sort="0.569466336656">0.5695%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 274 |
+
<tr><td class="path" data-sort="obelics/EN/part64"><code>obelics/EN/part64</code></td><td data-sort="265729978655">265.73 GB</td><td data-sort="0.569466336656">0.5695%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 275 |
+
<tr><td class="path" data-sort="obelics/EN/part79"><code>obelics/EN/part79</code></td><td data-sort="265683403149">265.68 GB</td><td data-sort="0.569366524121">0.5694%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 276 |
+
<tr><td class="path" data-sort="obelics/EN/part40"><code>obelics/EN/part40</code></td><td data-sort="265599103538">265.60 GB</td><td data-sort="0.569185867837">0.5692%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 277 |
+
<tr><td class="path" data-sort="obelics/EN/part58"><code>obelics/EN/part58</code></td><td data-sort="265599103538">265.60 GB</td><td data-sort="0.569185867837">0.5692%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 278 |
+
<tr><td class="path" data-sort="obelics/EN/part47"><code>obelics/EN/part47</code></td><td data-sort="265333492569">265.33 GB</td><td data-sort="0.568616656541">0.5686%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 279 |
+
<tr><td class="path" data-sort="obelics/EN/part65"><code>obelics/EN/part65</code></td><td data-sort="265333492569">265.33 GB</td><td data-sort="0.568616656541">0.5686%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 280 |
+
<tr><td class="path" data-sort="obelics/EN/part25"><code>obelics/EN/part25</code></td><td data-sort="265132973772">265.13 GB</td><td data-sort="0.568186939483">0.5682%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 281 |
+
<tr><td class="path" data-sort="obelics/EN/part07"><code>obelics/EN/part07</code></td><td data-sort="265031446897">265.03 GB</td><td data-sort="0.567969364718">0.5680%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 282 |
+
<tr><td class="path" data-sort="obelics/EN/part27"><code>obelics/EN/part27</code></td><td data-sort="264641776491">264.64 GB</td><td data-sort="0.567134290784">0.5671%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 283 |
+
<tr><td class="path" data-sort="obelics/EN/part85"><code>obelics/EN/part85</code></td><td data-sort="264495018626">264.50 GB</td><td data-sort="0.566819784818">0.5668%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 284 |
+
<tr><td class="path" data-sort="obelics/EN/part13"><code>obelics/EN/part13</code></td><td data-sort="264406366166">264.41 GB</td><td data-sort="0.566629800263">0.5666%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 285 |
+
<tr><td class="path" data-sort="obelics/EN/part71"><code>obelics/EN/part71</code></td><td data-sort="264389087241">264.39 GB</td><td data-sort="0.566592771072">0.5666%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 286 |
+
<tr><td class="path" data-sort="obelics/EN/part12"><code>obelics/EN/part12</code></td><td data-sort="264281191421">264.28 GB</td><td data-sort="0.566361547491">0.5664%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 287 |
+
<tr><td class="path" data-sort="obelics/EN/part02"><code>obelics/EN/part02</code></td><td data-sort="264252746428">264.25 GB</td><td data-sort="0.566300589122">0.5663%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 288 |
+
<tr><td class="path" data-sort="obelics/EN/part32"><code>obelics/EN/part32</code></td><td data-sort="264208806085">264.21 GB</td><td data-sort="0.566206423811">0.5662%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 289 |
+
<tr><td class="path" data-sort="obelics/EN/part48"><code>obelics/EN/part48</code></td><td data-sort="264146983108">264.15 GB</td><td data-sort="0.566073935544">0.5661%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 290 |
+
<tr><td class="path" data-sort="obelics/EN/part66"><code>obelics/EN/part66</code></td><td data-sort="264146983108">264.15 GB</td><td data-sort="0.566073935544">0.5661%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 291 |
+
<tr><td class="path" data-sort="obelics/EN/part33"><code>obelics/EN/part33</code></td><td data-sort="264068349166">264.07 GB</td><td data-sort="0.565905420937">0.5659%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 292 |
+
<tr><td class="path" data-sort="obelics/EN/part26"><code>obelics/EN/part26</code></td><td data-sort="263862248052">263.86 GB</td><td data-sort="0.565463740827">0.5655%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 293 |
+
<tr><td class="path" data-sort="obelics/EN/part81"><code>obelics/EN/part81</code></td><td data-sort="263786271317">263.79 GB</td><td data-sort="0.565300920685">0.5653%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 294 |
+
<tr><td class="path" data-sort="obelics/EN/part16"><code>obelics/EN/part16</code></td><td data-sort="263582431512">263.58 GB</td><td data-sort="0.564864086619">0.5649%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 295 |
+
<tr><td class="path" data-sort="obelics/EN/part23"><code>obelics/EN/part23</code></td><td data-sort="263394854717">263.39 GB</td><td data-sort="0.564462104611">0.5645%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 296 |
+
<tr><td class="path" data-sort="obelics/EN/part03"><code>obelics/EN/part03</code></td><td data-sort="263264527495">263.26 GB</td><td data-sort="0.564182809945">0.5642%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 297 |
+
<tr><td class="path" data-sort="obelics/EN/part08"><code>obelics/EN/part08</code></td><td data-sort="263176248856">263.18 GB</td><td data-sort="0.563993626499">0.5640%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 298 |
+
<tr><td class="path" data-sort="obelics/EN/part17"><code>obelics/EN/part17</code></td><td data-sort="263166264023">263.17 GB</td><td data-sort="0.563972228739">0.5640%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 299 |
+
<tr><td class="path" data-sort="obelics/EN/part52"><code>obelics/EN/part52</code></td><td data-sort="263151537228">263.15 GB</td><td data-sort="0.563940668829">0.5639%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 300 |
+
<tr><td class="path" data-sort="obelics/EN/part70"><code>obelics/EN/part70</code></td><td data-sort="263151537228">263.15 GB</td><td data-sort="0.563940668829">0.5639%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 301 |
+
<tr><td class="path" data-sort="obelics/EN/part73"><code>obelics/EN/part73</code></td><td data-sort="263141000298">263.14 GB</td><td data-sort="0.563918087911">0.5639%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 302 |
+
<tr><td class="path" data-sort="obelics/EN/part84"><code>obelics/EN/part84</code></td><td data-sort="263077552718">263.08 GB</td><td data-sort="0.563782118078">0.5638%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 303 |
+
<tr><td class="path" data-sort="obelics/EN/part41"><code>obelics/EN/part41</code></td><td data-sort="263064542452">263.06 GB</td><td data-sort="0.563754236735">0.5638%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 304 |
+
<tr><td class="path" data-sort="obelics/EN/part59"><code>obelics/EN/part59</code></td><td data-sort="263064542452">263.06 GB</td><td data-sort="0.563754236735">0.5638%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 305 |
+
<tr><td class="path" data-sort="obelics/EN/part80"><code>obelics/EN/part80</code></td><td data-sort="263039913661">263.04 GB</td><td data-sort="0.563701456588">0.5637%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 306 |
+
<tr><td class="path" data-sort="obelics/EN/part86"><code>obelics/EN/part86</code></td><td data-sort="262933447506">262.93 GB</td><td data-sort="0.563473296816">0.5635%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 307 |
+
<tr><td class="path" data-sort="obelics/EN/part43"><code>obelics/EN/part43</code></td><td data-sort="262932021925">262.93 GB</td><td data-sort="0.563470241759">0.5635%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 308 |
+
<tr><td class="path" data-sort="obelics/EN/part61"><code>obelics/EN/part61</code></td><td data-sort="262932021925">262.93 GB</td><td data-sort="0.563470241759">0.5635%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 309 |
+
<tr><td class="path" data-sort="obelics/EN/part35"><code>obelics/EN/part35</code></td><td data-sort="262861728348">262.86 GB</td><td data-sort="0.563319600774">0.5633%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 310 |
+
<tr><td class="path" data-sort="obelics/EN/part53"><code>obelics/EN/part53</code></td><td data-sort="262861728348">262.86 GB</td><td data-sort="0.563319600774">0.5633%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 311 |
+
<tr><td class="path" data-sort="obelics/EN/part78"><code>obelics/EN/part78</code></td><td data-sort="262723396484">262.72 GB</td><td data-sort="0.563023151949">0.5630%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 312 |
+
<tr><td class="path" data-sort="obelics/EN/part50"><code>obelics/EN/part50</code></td><td data-sort="262669389024">262.67 GB</td><td data-sort="0.562907412541">0.5629%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 313 |
+
<tr><td class="path" data-sort="obelics/EN/part68"><code>obelics/EN/part68</code></td><td data-sort="262669389024">262.67 GB</td><td data-sort="0.562907412541">0.5629%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 314 |
+
<tr><td class="path" data-sort="obelics/EN/part38"><code>obelics/EN/part38</code></td><td data-sort="262621505520">262.62 GB</td><td data-sort="0.562804796932">0.5628%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 315 |
+
<tr><td class="path" data-sort="obelics/EN/part56"><code>obelics/EN/part56</code></td><td data-sort="262621505520">262.62 GB</td><td data-sort="0.562804796932">0.5628%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 316 |
+
<tr><td class="path" data-sort="obelics/EN/part31"><code>obelics/EN/part31</code></td><td data-sort="262595771812">262.60 GB</td><td data-sort="0.562749648919">0.5627%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 317 |
+
<tr><td class="path" data-sort="obelics/EN/part75"><code>obelics/EN/part75</code></td><td data-sort="262570972614">262.57 GB</td><td data-sort="0.562696503585">0.5627%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 318 |
+
<tr><td class="path" data-sort="obelics/EN/part74"><code>obelics/EN/part74</code></td><td data-sort="262331995951">262.33 GB</td><td data-sort="0.562184370307">0.5622%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 319 |
+
<tr><td class="path" data-sort="obelics/EN/part42"><code>obelics/EN/part42</code></td><td data-sort="262022402158">262.02 GB</td><td data-sort="0.561520902662">0.5615%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 320 |
+
<tr><td class="path" data-sort="obelics/EN/part60"><code>obelics/EN/part60</code></td><td data-sort="262022402158">262.02 GB</td><td data-sort="0.561520902662">0.5615%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 321 |
+
<tr><td class="path" data-sort="obelics/EN/part45"><code>obelics/EN/part45</code></td><td data-sort="261608346119">261.61 GB</td><td data-sort="0.560633569675">0.5606%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 322 |
+
<tr><td class="path" data-sort="obelics/EN/part63"><code>obelics/EN/part63</code></td><td data-sort="261608346119">261.61 GB</td><td data-sort="0.560633569675">0.5606%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 323 |
+
<tr><td class="path" data-sort="obelics/EN/part18"><code>obelics/EN/part18</code></td><td data-sort="261173771031">261.17 GB</td><td data-sort="0.559702263826">0.5597%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 324 |
+
<tr><td class="path" data-sort="mint/EN/part02"><code>mint/EN/part02</code></td><td data-sort="261107506581">261.11 GB</td><td data-sort="0.559560257366">0.5596%</td><td data-sort="84">84</td><td data-sort="0">0</td></tr>
|
| 325 |
+
<tr><td class="path" data-sort="obelics/EN/part21"><code>obelics/EN/part21</code></td><td data-sort="260839232669">260.84 GB</td><td data-sort="0.558985339314">0.5590%</td><td data-sort="62">62</td><td data-sort="0">0</td></tr>
|
| 326 |
+
<tr><td class="path" data-sort="obelics/EN/part22"><code>obelics/EN/part22</code></td><td data-sort="260355298274">260.36 GB</td><td data-sort="0.557948255171">0.5579%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 327 |
+
<tr><td class="path" data-sort="obelics/EN/part83"><code>obelics/EN/part83</code></td><td data-sort="260106114495">260.11 GB</td><td data-sort="0.557414247776">0.5574%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 328 |
+
<tr><td class="path" data-sort="mint/EN/part00"><code>mint/EN/part00</code></td><td data-sort="260095555529">260.10 GB</td><td data-sort="0.557391619634">0.5574%</td><td data-sort="84">84</td><td data-sort="0">0</td></tr>
|
| 329 |
+
<tr><td class="path" data-sort="obelics/EN/part01"><code>obelics/EN/part01</code></td><td data-sort="259721159161">259.72 GB</td><td data-sort="0.556589278365">0.5566%</td><td data-sort="63">63</td><td data-sort="0">0</td></tr>
|
| 330 |
+
<tr><td class="path" data-sort="laioncn/CN/part00"><code>laioncn/CN/part00</code></td><td data-sort="258773457040">258.77 GB</td><td data-sort="0.554558327782">0.5546%</td><td data-sort="82">82</td><td data-sort="0">0</td></tr>
|
| 331 |
+
</tbody>
|
| 332 |
+
</table>
|
| 333 |
+
</div>
|
| 334 |
+
</section>
|
| 335 |
+
|
| 336 |
+
|
| 337 |
+
|
| 338 |
+
|
| 339 |
+
</main>
|
| 340 |
+
<script>
|
| 341 |
+
function cellSortValue(row, index, type) {
|
| 342 |
+
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|
| 345 |
+
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|
| 346 |
+
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| 347 |
+
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|
| 348 |
+
return raw.toLowerCase();
|
| 349 |
+
}
|
| 350 |
+
|
| 351 |
+
document.querySelectorAll("table.sortable-table th.sortable").forEach((header) => {
|
| 352 |
+
header.addEventListener("click", () => {
|
| 353 |
+
const table = header.closest("table");
|
| 354 |
+
const tbody = table.querySelector("tbody");
|
| 355 |
+
const index = Array.from(header.parentNode.children).indexOf(header);
|
| 356 |
+
const type = header.dataset.type || "text";
|
| 357 |
+
const direction = header.dataset.direction === "asc" ? "desc" : "asc";
|
| 358 |
+
header.parentNode.querySelectorAll("th").forEach((item) => {
|
| 359 |
+
delete item.dataset.direction;
|
| 360 |
+
});
|
| 361 |
+
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|
| 362 |
+
const rows = Array.from(tbody.rows);
|
| 363 |
+
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|
| 364 |
+
const leftValue = cellSortValue(left, index, type);
|
| 365 |
+
const rightValue = cellSortValue(right, index, type);
|
| 366 |
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|
| 367 |
+
if (leftValue > rightValue) return direction === "asc" ? 1 : -1;
|
| 368 |
+
return 0;
|
| 369 |
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});
|
| 370 |
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rows.forEach((row) => tbody.appendChild(row));
|
| 371 |
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|
| 372 |
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|
| 373 |
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|
| 374 |
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|
| 375 |
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|
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|
| 377 |
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|
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|
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|
| 380 |
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|
| 381 |
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|
| 382 |
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const match = !query || row.textContent.toLowerCase().includes(query);
|
| 383 |
+
row.hidden = !match;
|
| 384 |
+
if (match) visible += 1;
|
| 385 |
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});
|
| 386 |
+
countLabel.textContent = visible.toLocaleString() + " visible of " + 12126.toLocaleString() + " files";
|
| 387 |
+
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|
| 388 |
+
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|
| 389 |
+
</script>
|
| 390 |
+
</body>
|
| 391 |
+
</html>
|
hf_dataset_size_reports/smoke_imagenet/concise.html
ADDED
|
@@ -0,0 +1,291 @@
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| 1 |
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<!doctype html>
|
| 2 |
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<html lang="en">
|
| 3 |
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<head>
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| 4 |
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>mvp-lab/LLaVA-OneVision-1.5-Mid-Training-85M Dataset Size Report (Concise)</title>
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<style>
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margin: 0;
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line-height: 1.45;
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main {
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| 30 |
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margin: 0 auto;
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| 31 |
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padding: 30px 0 48px;
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 117 |
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|
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|
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|
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|
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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margin-bottom: 10px;
|
| 136 |
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|
| 137 |
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input[type="search"] {
|
| 138 |
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width: min(520px, 100%);
|
| 139 |
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border: 1px solid var(--line);
|
| 140 |
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border-radius: 6px;
|
| 141 |
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background: white;
|
| 142 |
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color: var(--text);
|
| 143 |
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padding: 9px 10px;
|
| 144 |
+
font: inherit;
|
| 145 |
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}
|
| 146 |
+
@media (max-width: 700px) {
|
| 147 |
+
main { width: min(100% - 24px, 1440px); padding-top: 20px; }
|
| 148 |
+
dl { grid-template-columns: 1fr; gap: 2px 0; }
|
| 149 |
+
dt { margin-top: 8px; }
|
| 150 |
+
h1 { font-size: 25px; }
|
| 151 |
+
}
|
| 152 |
+
</style>
|
| 153 |
+
</head>
|
| 154 |
+
<body>
|
| 155 |
+
<main>
|
| 156 |
+
<header>
|
| 157 |
+
<h1>Dataset Size Report (Concise)</h1>
|
| 158 |
+
<p class="muted"><code>mvp-lab/LLaVA-OneVision-1.5-Mid-Training-85M</code> created 2026-05-12T20:33:31.299322+00:00</p>
|
| 159 |
+
</header>
|
| 160 |
+
|
| 161 |
+
|
| 162 |
+
|
| 163 |
+
<section class="cards" aria-label="Summary">
|
| 164 |
+
<div class="card"><div class="label">Total Size</div><div class="value">233.95 GB</div></div>
|
| 165 |
+
<div class="card"><div class="label">Files</div><div class="value">82</div></div>
|
| 166 |
+
<div class="card"><div class="label">Known Size Files</div><div class="value">82</div></div>
|
| 167 |
+
<div class="card"><div class="label">Unknown Size Files</div><div class="value">0</div></div>
|
| 168 |
+
<div class="card"><div class="label">Subsets</div><div class="value">2</div></div>
|
| 169 |
+
<div class="card"><div class="label">Directories</div><div class="value">7</div></div>
|
| 170 |
+
</section>
|
| 171 |
+
|
| 172 |
+
<section class="panel">
|
| 173 |
+
<h2>Run</h2>
|
| 174 |
+
<dl>
|
| 175 |
+
<dt>Repository</dt>
|
| 176 |
+
<dd><code>mvp-lab/LLaVA-OneVision-1.5-Mid-Training-85M</code></dd>
|
| 177 |
+
<dt>Repository type</dt>
|
| 178 |
+
<dd>dataset</dd>
|
| 179 |
+
<dt>Revision</dt>
|
| 180 |
+
<dd><code>(default)</code></dd>
|
| 181 |
+
<dt>Path in repo</dt>
|
| 182 |
+
<dd><code>imagenet</code></dd>
|
| 183 |
+
<dt>Total bytes</dt>
|
| 184 |
+
<dd>233,947,207,103 bytes</dd>
|
| 185 |
+
</dl>
|
| 186 |
+
</section>
|
| 187 |
+
|
| 188 |
+
<section>
|
| 189 |
+
<h2>Subset Contribution</h2>
|
| 190 |
+
<div class="table-wrap">
|
| 191 |
+
<table class="sortable-table">
|
| 192 |
+
<thead>
|
| 193 |
+
<tr>
|
| 194 |
+
<th class="sortable" data-type="text">Subset</th>
|
| 195 |
+
<th class="sortable" data-type="number">Size</th>
|
| 196 |
+
<th class="sortable" data-type="number">Percent</th>
|
| 197 |
+
<th class="sortable" data-type="number">Files</th>
|
| 198 |
+
<th class="sortable" data-type="number">Unknown Size Files</th>
|
| 199 |
+
</tr>
|
| 200 |
+
</thead>
|
| 201 |
+
<tbody>
|
| 202 |
+
<tr><td class="path" data-sort="EN"><code>EN</code></td><td data-sort="179072325555">179.07 GB</td><td data-sort="76.543903974096">76.5439%</td><td data-sort="50">50</td><td data-sort="0">0</td></tr>
|
| 203 |
+
<tr><td class="path" data-sort="CN"><code>CN</code></td><td data-sort="54874881548">54.87 GB</td><td data-sort="23.456096025904">23.4561%</td><td data-sort="32">32</td><td data-sort="0">0</td></tr>
|
| 204 |
+
</tbody>
|
| 205 |
+
</table>
|
| 206 |
+
</div>
|
| 207 |
+
</section>
|
| 208 |
+
|
| 209 |
+
<section>
|
| 210 |
+
<h2>Largest Directories</h2>
|
| 211 |
+
<p class="muted">Top 100 directories by total known file size. Ancestor directories include their descendants.</p>
|
| 212 |
+
<div class="table-wrap">
|
| 213 |
+
<table class="sortable-table">
|
| 214 |
+
<thead>
|
| 215 |
+
<tr>
|
| 216 |
+
<th class="sortable" data-type="text">Directory</th>
|
| 217 |
+
<th class="sortable" data-type="number">Size</th>
|
| 218 |
+
<th class="sortable" data-type="number">Percent</th>
|
| 219 |
+
<th class="sortable" data-type="number">Files</th>
|
| 220 |
+
<th class="sortable" data-type="number">Unknown Size Files</th>
|
| 221 |
+
</tr>
|
| 222 |
+
</thead>
|
| 223 |
+
<tbody>
|
| 224 |
+
<tr><td class="path" data-sort="imagenet"><code>imagenet</code></td><td data-sort="233947207103">233.95 GB</td><td data-sort="100.000000000000">100.0000%</td><td data-sort="82">82</td><td data-sort="0">0</td></tr>
|
| 225 |
+
<tr><td class="path" data-sort="imagenet/EN"><code>imagenet/EN</code></td><td data-sort="179072325555">179.07 GB</td><td data-sort="76.543903974096">76.5439%</td><td data-sort="50">50</td><td data-sort="0">0</td></tr>
|
| 226 |
+
<tr><td class="path" data-sort="imagenet/EN/part01"><code>imagenet/EN/part01</code></td><td data-sort="71726909578">71.73 GB</td><td data-sort="30.659442558090">30.6594%</td><td data-sort="20">20</td><td data-sort="0">0</td></tr>
|
| 227 |
+
<tr><td class="path" data-sort="imagenet/EN/part00"><code>imagenet/EN/part00</code></td><td data-sort="71628667447">71.63 GB</td><td data-sort="30.617449267289">30.6174%</td><td data-sort="20">20</td><td data-sort="0">0</td></tr>
|
| 228 |
+
<tr><td class="path" data-sort="imagenet/CN"><code>imagenet/CN</code></td><td data-sort="54874881548">54.87 GB</td><td data-sort="23.456096025904">23.4561%</td><td data-sort="32">32</td><td data-sort="0">0</td></tr>
|
| 229 |
+
<tr><td class="path" data-sort="imagenet/CN/part00"><code>imagenet/CN/part00</code></td><td data-sort="54874881548">54.87 GB</td><td data-sort="23.456096025904">23.4561%</td><td data-sort="32">32</td><td data-sort="0">0</td></tr>
|
| 230 |
+
<tr><td class="path" data-sort="imagenet/EN/part02"><code>imagenet/EN/part02</code></td><td data-sort="35716748530">35.72 GB</td><td data-sort="15.267012148717">15.2670%</td><td data-sort="10">10</td><td data-sort="0">0</td></tr>
|
| 231 |
+
</tbody>
|
| 232 |
+
</table>
|
| 233 |
+
</div>
|
| 234 |
+
</section>
|
| 235 |
+
|
| 236 |
+
|
| 237 |
+
|
| 238 |
+
|
| 239 |
+
</main>
|
| 240 |
+
<script>
|
| 241 |
+
function cellSortValue(row, index, type) {
|
| 242 |
+
const cell = row.cells[index];
|
| 243 |
+
const raw = cell ? cell.dataset.sort || cell.textContent : "";
|
| 244 |
+
if (type === "number") {
|
| 245 |
+
const parsed = Number(raw);
|
| 246 |
+
return Number.isFinite(parsed) ? parsed : -Infinity;
|
| 247 |
+
}
|
| 248 |
+
return raw.toLowerCase();
|
| 249 |
+
}
|
| 250 |
+
|
| 251 |
+
document.querySelectorAll("table.sortable-table th.sortable").forEach((header) => {
|
| 252 |
+
header.addEventListener("click", () => {
|
| 253 |
+
const table = header.closest("table");
|
| 254 |
+
const tbody = table.querySelector("tbody");
|
| 255 |
+
const index = Array.from(header.parentNode.children).indexOf(header);
|
| 256 |
+
const type = header.dataset.type || "text";
|
| 257 |
+
const direction = header.dataset.direction === "asc" ? "desc" : "asc";
|
| 258 |
+
header.parentNode.querySelectorAll("th").forEach((item) => {
|
| 259 |
+
delete item.dataset.direction;
|
| 260 |
+
});
|
| 261 |
+
header.dataset.direction = direction;
|
| 262 |
+
const rows = Array.from(tbody.rows);
|
| 263 |
+
rows.sort((left, right) => {
|
| 264 |
+
const leftValue = cellSortValue(left, index, type);
|
| 265 |
+
const rightValue = cellSortValue(right, index, type);
|
| 266 |
+
if (leftValue < rightValue) return direction === "asc" ? -1 : 1;
|
| 267 |
+
if (leftValue > rightValue) return direction === "asc" ? 1 : -1;
|
| 268 |
+
return 0;
|
| 269 |
+
});
|
| 270 |
+
rows.forEach((row) => tbody.appendChild(row));
|
| 271 |
+
});
|
| 272 |
+
});
|
| 273 |
+
|
| 274 |
+
const search = document.getElementById("file-search");
|
| 275 |
+
const fileTable = document.getElementById("file-table");
|
| 276 |
+
const countLabel = document.getElementById("file-count-label");
|
| 277 |
+
if (search && fileTable && countLabel) {
|
| 278 |
+
search.addEventListener("input", () => {
|
| 279 |
+
const query = search.value.trim().toLowerCase();
|
| 280 |
+
let visible = 0;
|
| 281 |
+
Array.from(fileTable.tBodies[0].rows).forEach((row) => {
|
| 282 |
+
const match = !query || row.textContent.toLowerCase().includes(query);
|
| 283 |
+
row.hidden = !match;
|
| 284 |
+
if (match) visible += 1;
|
| 285 |
+
});
|
| 286 |
+
countLabel.textContent = visible.toLocaleString() + " visible of " + 82.toLocaleString() + " files";
|
| 287 |
+
});
|
| 288 |
+
}
|
| 289 |
+
</script>
|
| 290 |
+
</body>
|
| 291 |
+
</html>
|
hf_dataset_size_reports/smoke_imagenet/full.html
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/disable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:16:21.849763+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen2.5-1.5B-Instruct",
|
| 6 |
+
"--disable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/disable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/disable-thinking",
|
| 23 |
+
"enable_thinking": false,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen2.5-1.5B-Instruct\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThe capital of China is Beijing.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\nThe capital of China is Beijing.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 29 |
+
"INPUT": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n",
|
| 30 |
+
"MODEL_OUTPUT": "The capital of China is Beijing.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\nThe capital of China is Beijing.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/disable-thinking/run.log
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
model: Qwen/Qwen2.5-1.5B-Instruct
|
| 2 |
+
thinking_mode: disable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen2.5-1.5B-Instruct --disable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/disable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen2.5-1.5B-Instruct
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>system
|
| 13 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 14 |
+
<|im_start|>user
|
| 15 |
+
Where is the capital of China?<|im_end|>
|
| 16 |
+
<|im_start|>assistant
|
| 17 |
+
|
| 18 |
+
========== INPUT END ==========
|
| 19 |
+
|
| 20 |
+
========== MODEL_OUTPUT START ==========
|
| 21 |
+
The capital of China is Beijing.<|im_end|>
|
| 22 |
+
========== MODEL_OUTPUT END ==========
|
| 23 |
+
|
| 24 |
+
========== FULL_SEQUENCE START ==========
|
| 25 |
+
<|im_start|>system
|
| 26 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 27 |
+
<|im_start|>user
|
| 28 |
+
Where is the capital of China?<|im_end|>
|
| 29 |
+
<|im_start|>assistant
|
| 30 |
+
The capital of China is Beijing.<|im_end|>
|
| 31 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/enable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:16:03.734132+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen2.5-1.5B-Instruct",
|
| 6 |
+
"--enable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/enable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/enable-thinking",
|
| 23 |
+
"enable_thinking": true,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen2.5-1.5B-Instruct\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThe capital of China is Beijing.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\nThe capital of China is Beijing.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 29 |
+
"INPUT": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n",
|
| 30 |
+
"MODEL_OUTPUT": "The capital of China is Beijing.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\nThe capital of China is Beijing.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/enable-thinking/run.log
ADDED
|
@@ -0,0 +1,31 @@
|
|
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|
| 1 |
+
model: Qwen/Qwen2.5-1.5B-Instruct
|
| 2 |
+
thinking_mode: enable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen2.5-1.5B-Instruct --enable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/enable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen2.5-1.5B-Instruct
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>system
|
| 13 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 14 |
+
<|im_start|>user
|
| 15 |
+
Where is the capital of China?<|im_end|>
|
| 16 |
+
<|im_start|>assistant
|
| 17 |
+
|
| 18 |
+
========== INPUT END ==========
|
| 19 |
+
|
| 20 |
+
========== MODEL_OUTPUT START ==========
|
| 21 |
+
The capital of China is Beijing.<|im_end|>
|
| 22 |
+
========== MODEL_OUTPUT END ==========
|
| 23 |
+
|
| 24 |
+
========== FULL_SEQUENCE START ==========
|
| 25 |
+
<|im_start|>system
|
| 26 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 27 |
+
<|im_start|>user
|
| 28 |
+
Where is the capital of China?<|im_end|>
|
| 29 |
+
<|im_start|>assistant
|
| 30 |
+
The capital of China is Beijing.<|im_end|>
|
| 31 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/disable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
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|
|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:17:06.880402+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3-1.7B",
|
| 6 |
+
"--disable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/disable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3-1.7B",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/disable-thinking",
|
| 23 |
+
"enable_thinking": false,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3-1.7B\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThe capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nThe capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3-1.7B",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n",
|
| 30 |
+
"MODEL_OUTPUT": "The capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nThe capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/disable-thinking/run.log
ADDED
|
@@ -0,0 +1,35 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model: Qwen/Qwen3-1.7B
|
| 2 |
+
thinking_mode: disable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3-1.7B --disable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/disable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen3-1.7B
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>user
|
| 13 |
+
Where is the capital of China?<|im_end|>
|
| 14 |
+
<|im_start|>assistant
|
| 15 |
+
<think>
|
| 16 |
+
|
| 17 |
+
</think>
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
========== INPUT END ==========
|
| 21 |
+
|
| 22 |
+
========== MODEL_OUTPUT START ==========
|
| 23 |
+
The capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|>
|
| 24 |
+
========== MODEL_OUTPUT END ==========
|
| 25 |
+
|
| 26 |
+
========== FULL_SEQUENCE START ==========
|
| 27 |
+
<|im_start|>user
|
| 28 |
+
Where is the capital of China?<|im_end|>
|
| 29 |
+
<|im_start|>assistant
|
| 30 |
+
<think>
|
| 31 |
+
|
| 32 |
+
</think>
|
| 33 |
+
|
| 34 |
+
The capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|>
|
| 35 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/enable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:16:49.497443+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3-1.7B",
|
| 6 |
+
"--enable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/enable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3-1.7B",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/enable-thinking",
|
| 23 |
+
"enable_thinking": true,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3-1.7B\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\n<think>\nOkay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing. \n\nWait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China. \n\nI should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai. \n\nIs there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better. \n\nI think that's all. The answer is Beijing, and I should present it clearly.\n</think>\n\nThe capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nOkay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing. \n\nWait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China. \n\nI should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai. \n\nIs there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better. \n\nI think that's all. The answer is Beijing, and I should present it clearly.\n</think>\n\nThe capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3-1.7B",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n",
|
| 30 |
+
"MODEL_OUTPUT": "<think>\nOkay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing. \n\nWait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China. \n\nI should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai. \n\nIs there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better. \n\nI think that's all. The answer is Beijing, and I should present it clearly.\n</think>\n\nThe capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nOkay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing. \n\nWait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China. \n\nI should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai. \n\nIs there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better. \n\nI think that's all. The answer is Beijing, and I should present it clearly.\n</think>\n\nThe capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/enable-thinking/run.log
ADDED
|
@@ -0,0 +1,51 @@
|
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|
|
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|
|
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|
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|
|
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|
|
|
|
|
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|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model: Qwen/Qwen3-1.7B
|
| 2 |
+
thinking_mode: enable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3-1.7B --enable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/enable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen3-1.7B
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>user
|
| 13 |
+
Where is the capital of China?<|im_end|>
|
| 14 |
+
<|im_start|>assistant
|
| 15 |
+
|
| 16 |
+
========== INPUT END ==========
|
| 17 |
+
|
| 18 |
+
========== MODEL_OUTPUT START ==========
|
| 19 |
+
<think>
|
| 20 |
+
Okay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing.
|
| 21 |
+
|
| 22 |
+
Wait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China.
|
| 23 |
+
|
| 24 |
+
I should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai.
|
| 25 |
+
|
| 26 |
+
Is there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better.
|
| 27 |
+
|
| 28 |
+
I think that's all. The answer is Beijing, and I should present it clearly.
|
| 29 |
+
</think>
|
| 30 |
+
|
| 31 |
+
The capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|>
|
| 32 |
+
========== MODEL_OUTPUT END ==========
|
| 33 |
+
|
| 34 |
+
========== FULL_SEQUENCE START ==========
|
| 35 |
+
<|im_start|>user
|
| 36 |
+
Where is the capital of China?<|im_end|>
|
| 37 |
+
<|im_start|>assistant
|
| 38 |
+
<think>
|
| 39 |
+
Okay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing.
|
| 40 |
+
|
| 41 |
+
Wait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China.
|
| 42 |
+
|
| 43 |
+
I should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai.
|
| 44 |
+
|
| 45 |
+
Is there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better.
|
| 46 |
+
|
| 47 |
+
I think that's all. The answer is Beijing, and I should present it clearly.
|
| 48 |
+
</think>
|
| 49 |
+
|
| 50 |
+
The capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|>
|
| 51 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/disable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:19:12.120022+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3-4B-Instruct-2507",
|
| 6 |
+
"--disable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/disable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3-4B-Instruct-2507",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/disable-thinking",
|
| 23 |
+
"enable_thinking": false,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3-4B-Instruct-2507\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThe capital of China is Beijing.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\nThe capital of China is Beijing.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3-4B-Instruct-2507",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n",
|
| 30 |
+
"MODEL_OUTPUT": "The capital of China is Beijing.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\nThe capital of China is Beijing.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/disable-thinking/run.log
ADDED
|
@@ -0,0 +1,27 @@
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|
| 1 |
+
model: Qwen/Qwen3-4B-Instruct-2507
|
| 2 |
+
thinking_mode: disable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3-4B-Instruct-2507 --disable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/disable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen3-4B-Instruct-2507
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>user
|
| 13 |
+
Where is the capital of China?<|im_end|>
|
| 14 |
+
<|im_start|>assistant
|
| 15 |
+
|
| 16 |
+
========== INPUT END ==========
|
| 17 |
+
|
| 18 |
+
========== MODEL_OUTPUT START ==========
|
| 19 |
+
The capital of China is Beijing.<|im_end|>
|
| 20 |
+
========== MODEL_OUTPUT END ==========
|
| 21 |
+
|
| 22 |
+
========== FULL_SEQUENCE START ==========
|
| 23 |
+
<|im_start|>user
|
| 24 |
+
Where is the capital of China?<|im_end|>
|
| 25 |
+
<|im_start|>assistant
|
| 26 |
+
The capital of China is Beijing.<|im_end|>
|
| 27 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/enable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
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|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:18:43.925672+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3-4B-Instruct-2507",
|
| 6 |
+
"--enable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/enable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3-4B-Instruct-2507",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/enable-thinking",
|
| 23 |
+
"enable_thinking": true,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3-4B-Instruct-2507\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThe capital of China is Beijing.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\nThe capital of China is Beijing.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3-4B-Instruct-2507",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n",
|
| 30 |
+
"MODEL_OUTPUT": "The capital of China is Beijing.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\nThe capital of China is Beijing.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/enable-thinking/run.log
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model: Qwen/Qwen3-4B-Instruct-2507
|
| 2 |
+
thinking_mode: enable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3-4B-Instruct-2507 --enable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/enable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen3-4B-Instruct-2507
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>user
|
| 13 |
+
Where is the capital of China?<|im_end|>
|
| 14 |
+
<|im_start|>assistant
|
| 15 |
+
|
| 16 |
+
========== INPUT END ==========
|
| 17 |
+
|
| 18 |
+
========== MODEL_OUTPUT START ==========
|
| 19 |
+
The capital of China is Beijing.<|im_end|>
|
| 20 |
+
========== MODEL_OUTPUT END ==========
|
| 21 |
+
|
| 22 |
+
========== FULL_SEQUENCE START ==========
|
| 23 |
+
<|im_start|>user
|
| 24 |
+
Where is the capital of China?<|im_end|>
|
| 25 |
+
<|im_start|>assistant
|
| 26 |
+
The capital of China is Beijing.<|im_end|>
|
| 27 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/disable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:21:00.137317+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3-4B-thinking-2507",
|
| 6 |
+
"--disable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/disable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3-4B-thinking-2507",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/disable-thinking",
|
| 23 |
+
"enable_thinking": false,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3-4B-thinking-2507\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nOkay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully. \n\nFirst, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals. \n\nI remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing. \n\nThe user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC. \n\nOh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings. \n\nAlso, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history. \n\nFinal answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon. \n\n... Wait, is there any chance they meant \"capital\" in a different sense? Like, the capital of a province? But the question says \"China,\" so it's the country's capital. Safe to assume that. \n\nAlright, response ready: Clear, factual, no fluff.\n</think>\n\nThe capital of the **People's Republic of China** (the current sovereign state) is **Beijing**. \n\n### Key details:\n- **Why Beijing?** \n Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.\n \n- **Common confusion**: \n - **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital. \n - Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.\n\n- **Official recognition**: \n The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.\n\nIn short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nOkay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully. \n\nFirst, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals. \n\nI remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing. \n\nThe user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC. \n\nOh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings. \n\nAlso, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history. \n\nFinal answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon. \n\n... Wait, is there any chance they meant \"capital\" in a different sense? Like, the capital of a province? But the question says \"China,\" so it's the country's capital. Safe to assume that. \n\nAlright, response ready: Clear, factual, no fluff.\n</think>\n\nThe capital of the **People's Republic of China** (the current sovereign state) is **Beijing**. \n\n### Key details:\n- **Why Beijing?** \n Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.\n \n- **Common confusion**: \n - **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital. \n - Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.\n\n- **Official recognition**: \n The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.\n\nIn short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3-4B-thinking-2507",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n",
|
| 30 |
+
"MODEL_OUTPUT": "Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully. \n\nFirst, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals. \n\nI remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing. \n\nThe user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC. \n\nOh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings. \n\nAlso, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history. \n\nFinal answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon. \n\n... Wait, is there any chance they meant \"capital\" in a different sense? Like, the capital of a province? But the question says \"China,\" so it's the country's capital. Safe to assume that. \n\nAlright, response ready: Clear, factual, no fluff.\n</think>\n\nThe capital of the **People's Republic of China** (the current sovereign state) is **Beijing**. \n\n### Key details:\n- **Why Beijing?** \n Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.\n \n- **Common confusion**: \n - **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital. \n - Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.\n\n- **Official recognition**: \n The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.\n\nIn short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nOkay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully. \n\nFirst, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals. \n\nI remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing. \n\nThe user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC. \n\nOh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings. \n\nAlso, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history. \n\nFinal answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon. \n\n... Wait, is there any chance they meant \"capital\" in a different sense? Like, the capital of a province? But the question says \"China,\" so it's the country's capital. Safe to assume that. \n\nAlright, response ready: Clear, factual, no fluff.\n</think>\n\nThe capital of the **People's Republic of China** (the current sovereign state) is **Beijing**. \n\n### Key details:\n- **Why Beijing?** \n Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.\n \n- **Common confusion**: \n - **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital. \n - Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.\n\n- **Official recognition**: \n The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.\n\nIn short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/disable-thinking/run.log
ADDED
|
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|
| 1 |
+
model: Qwen/Qwen3-4B-thinking-2507
|
| 2 |
+
thinking_mode: disable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3-4B-thinking-2507 --disable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/disable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen3-4B-thinking-2507
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>user
|
| 13 |
+
Where is the capital of China?<|im_end|>
|
| 14 |
+
<|im_start|>assistant
|
| 15 |
+
<think>
|
| 16 |
+
|
| 17 |
+
========== INPUT END ==========
|
| 18 |
+
|
| 19 |
+
========== MODEL_OUTPUT START ==========
|
| 20 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 21 |
+
|
| 22 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 23 |
+
|
| 24 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 25 |
+
|
| 26 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 27 |
+
|
| 28 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 29 |
+
|
| 30 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 31 |
+
|
| 32 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 33 |
+
|
| 34 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 35 |
+
|
| 36 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 37 |
+
</think>
|
| 38 |
+
|
| 39 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 40 |
+
|
| 41 |
+
### Key details:
|
| 42 |
+
- **Why Beijing?**
|
| 43 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 44 |
+
|
| 45 |
+
- **Common confusion**:
|
| 46 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 47 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 48 |
+
|
| 49 |
+
- **Official recognition**:
|
| 50 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 51 |
+
|
| 52 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>
|
| 53 |
+
========== MODEL_OUTPUT END ==========
|
| 54 |
+
|
| 55 |
+
========== FULL_SEQUENCE START ==========
|
| 56 |
+
<|im_start|>user
|
| 57 |
+
Where is the capital of China?<|im_end|>
|
| 58 |
+
<|im_start|>assistant
|
| 59 |
+
<think>
|
| 60 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 61 |
+
|
| 62 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 63 |
+
|
| 64 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 65 |
+
|
| 66 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 67 |
+
|
| 68 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 69 |
+
|
| 70 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 71 |
+
|
| 72 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 73 |
+
|
| 74 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 75 |
+
|
| 76 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 77 |
+
</think>
|
| 78 |
+
|
| 79 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 80 |
+
|
| 81 |
+
### Key details:
|
| 82 |
+
- **Why Beijing?**
|
| 83 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 84 |
+
|
| 85 |
+
- **Common confusion**:
|
| 86 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 87 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 88 |
+
|
| 89 |
+
- **Official recognition**:
|
| 90 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 91 |
+
|
| 92 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>
|
| 93 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/enable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:20:03.748537+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3-4B-thinking-2507",
|
| 6 |
+
"--enable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/enable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3-4B-thinking-2507",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/enable-thinking",
|
| 23 |
+
"enable_thinking": true,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3-4B-thinking-2507\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nOkay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully. \n\nFirst, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals. \n\nI remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing. \n\nThe user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC. \n\nOh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings. \n\nAlso, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history. \n\nFinal answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon. \n\n... Wait, is there any chance they meant \"capital\" in a different sense? Like, the capital of a province? But the question says \"China,\" so it's the country's capital. Safe to assume that. \n\nAlright, response ready: Clear, factual, no fluff.\n</think>\n\nThe capital of the **People's Republic of China** (the current sovereign state) is **Beijing**. \n\n### Key details:\n- **Why Beijing?** \n Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.\n \n- **Common confusion**: \n - **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital. \n - Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.\n\n- **Official recognition**: \n The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.\n\nIn short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nOkay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully. \n\nFirst, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals. \n\nI remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing. \n\nThe user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC. \n\nOh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings. \n\nAlso, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history. \n\nFinal answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon. \n\n... Wait, is there any chance they meant \"capital\" in a different sense? Like, the capital of a province? But the question says \"China,\" so it's the country's capital. Safe to assume that. \n\nAlright, response ready: Clear, factual, no fluff.\n</think>\n\nThe capital of the **People's Republic of China** (the current sovereign state) is **Beijing**. \n\n### Key details:\n- **Why Beijing?** \n Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.\n \n- **Common confusion**: \n - **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital. \n - Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.\n\n- **Official recognition**: \n The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.\n\nIn short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3-4B-thinking-2507",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n",
|
| 30 |
+
"MODEL_OUTPUT": "Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully. \n\nFirst, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals. \n\nI remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing. \n\nThe user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC. \n\nOh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings. \n\nAlso, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history. \n\nFinal answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon. \n\n... Wait, is there any chance they meant \"capital\" in a different sense? Like, the capital of a province? But the question says \"China,\" so it's the country's capital. Safe to assume that. \n\nAlright, response ready: Clear, factual, no fluff.\n</think>\n\nThe capital of the **People's Republic of China** (the current sovereign state) is **Beijing**. \n\n### Key details:\n- **Why Beijing?** \n Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.\n \n- **Common confusion**: \n - **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital. \n - Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.\n\n- **Official recognition**: \n The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.\n\nIn short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nOkay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully. \n\nFirst, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals. \n\nI remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing. \n\nThe user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC. \n\nOh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings. \n\nAlso, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history. \n\nFinal answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon. \n\n... Wait, is there any chance they meant \"capital\" in a different sense? Like, the capital of a province? But the question says \"China,\" so it's the country's capital. Safe to assume that. \n\nAlright, response ready: Clear, factual, no fluff.\n</think>\n\nThe capital of the **People's Republic of China** (the current sovereign state) is **Beijing**. \n\n### Key details:\n- **Why Beijing?** \n Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.\n \n- **Common confusion**: \n - **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital. \n - Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.\n\n- **Official recognition**: \n The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.\n\nIn short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/enable-thinking/run.log
ADDED
|
@@ -0,0 +1,93 @@
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|
| 1 |
+
model: Qwen/Qwen3-4B-thinking-2507
|
| 2 |
+
thinking_mode: enable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3-4B-thinking-2507 --enable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/enable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen3-4B-thinking-2507
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>user
|
| 13 |
+
Where is the capital of China?<|im_end|>
|
| 14 |
+
<|im_start|>assistant
|
| 15 |
+
<think>
|
| 16 |
+
|
| 17 |
+
========== INPUT END ==========
|
| 18 |
+
|
| 19 |
+
========== MODEL_OUTPUT START ==========
|
| 20 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 21 |
+
|
| 22 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 23 |
+
|
| 24 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 25 |
+
|
| 26 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 27 |
+
|
| 28 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 29 |
+
|
| 30 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 31 |
+
|
| 32 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 33 |
+
|
| 34 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 35 |
+
|
| 36 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 37 |
+
</think>
|
| 38 |
+
|
| 39 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 40 |
+
|
| 41 |
+
### Key details:
|
| 42 |
+
- **Why Beijing?**
|
| 43 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 44 |
+
|
| 45 |
+
- **Common confusion**:
|
| 46 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 47 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 48 |
+
|
| 49 |
+
- **Official recognition**:
|
| 50 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 51 |
+
|
| 52 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>
|
| 53 |
+
========== MODEL_OUTPUT END ==========
|
| 54 |
+
|
| 55 |
+
========== FULL_SEQUENCE START ==========
|
| 56 |
+
<|im_start|>user
|
| 57 |
+
Where is the capital of China?<|im_end|>
|
| 58 |
+
<|im_start|>assistant
|
| 59 |
+
<think>
|
| 60 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 61 |
+
|
| 62 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 63 |
+
|
| 64 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 65 |
+
|
| 66 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 67 |
+
|
| 68 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 69 |
+
|
| 70 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 71 |
+
|
| 72 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 73 |
+
|
| 74 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 75 |
+
|
| 76 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 77 |
+
</think>
|
| 78 |
+
|
| 79 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 80 |
+
|
| 81 |
+
### Key details:
|
| 82 |
+
- **Why Beijing?**
|
| 83 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 84 |
+
|
| 85 |
+
- **Common confusion**:
|
| 86 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 87 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 88 |
+
|
| 89 |
+
- **Official recognition**:
|
| 90 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 91 |
+
|
| 92 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>
|
| 93 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/disable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:18:15.509328+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3-4B",
|
| 6 |
+
"--disable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/disable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3-4B",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/disable-thinking",
|
| 23 |
+
"enable_thinking": false,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3-4B\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThe capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nThe capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3-4B",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n",
|
| 30 |
+
"MODEL_OUTPUT": "The capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nThe capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/disable-thinking/run.log
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model: Qwen/Qwen3-4B
|
| 2 |
+
thinking_mode: disable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3-4B --disable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/disable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen3-4B
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>user
|
| 13 |
+
Where is the capital of China?<|im_end|>
|
| 14 |
+
<|im_start|>assistant
|
| 15 |
+
<think>
|
| 16 |
+
|
| 17 |
+
</think>
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
========== INPUT END ==========
|
| 21 |
+
|
| 22 |
+
========== MODEL_OUTPUT START ==========
|
| 23 |
+
The capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|>
|
| 24 |
+
========== MODEL_OUTPUT END ==========
|
| 25 |
+
|
| 26 |
+
========== FULL_SEQUENCE START ==========
|
| 27 |
+
<|im_start|>user
|
| 28 |
+
Where is the capital of China?<|im_end|>
|
| 29 |
+
<|im_start|>assistant
|
| 30 |
+
<think>
|
| 31 |
+
|
| 32 |
+
</think>
|
| 33 |
+
|
| 34 |
+
The capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|>
|
| 35 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/enable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:17:44.830006+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3-4B",
|
| 6 |
+
"--enable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/enable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3-4B",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/enable-thinking",
|
| 23 |
+
"enable_thinking": true,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3-4B\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\n<think>\nOkay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.\n</think>\n\nThe capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nOkay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.\n</think>\n\nThe capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3-4B",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n",
|
| 30 |
+
"MODEL_OUTPUT": "<think>\nOkay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.\n</think>\n\nThe capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nOkay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.\n</think>\n\nThe capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/enable-thinking/run.log
ADDED
|
@@ -0,0 +1,35 @@
|
|
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|
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|
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|
| 1 |
+
model: Qwen/Qwen3-4B
|
| 2 |
+
thinking_mode: enable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3-4B --enable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/enable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
========== MODEL START ==========
|
| 8 |
+
Qwen/Qwen3-4B
|
| 9 |
+
========== MODEL END ==========
|
| 10 |
+
|
| 11 |
+
========== INPUT START ==========
|
| 12 |
+
<|im_start|>user
|
| 13 |
+
Where is the capital of China?<|im_end|>
|
| 14 |
+
<|im_start|>assistant
|
| 15 |
+
|
| 16 |
+
========== INPUT END ==========
|
| 17 |
+
|
| 18 |
+
========== MODEL_OUTPUT START ==========
|
| 19 |
+
<think>
|
| 20 |
+
Okay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.
|
| 21 |
+
</think>
|
| 22 |
+
|
| 23 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|>
|
| 24 |
+
========== MODEL_OUTPUT END ==========
|
| 25 |
+
|
| 26 |
+
========== FULL_SEQUENCE START ==========
|
| 27 |
+
<|im_start|>user
|
| 28 |
+
Where is the capital of China?<|im_end|>
|
| 29 |
+
<|im_start|>assistant
|
| 30 |
+
<think>
|
| 31 |
+
Okay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.
|
| 32 |
+
</think>
|
| 33 |
+
|
| 34 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|>
|
| 35 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/disable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:21:47.228153+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3.5-2B",
|
| 6 |
+
"--disable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/disable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3.5-2B",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/disable-thinking",
|
| 23 |
+
"enable_thinking": false,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3.5-2B\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThe capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>\n<|endoftext|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nThe capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>\n<|endoftext|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3.5-2B",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n",
|
| 30 |
+
"MODEL_OUTPUT": "The capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>\n<|endoftext|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nThe capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>\n<|endoftext|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/disable-thinking/run.log
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model: Qwen/Qwen3.5-2B
|
| 2 |
+
thinking_mode: disable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3.5-2B --disable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/disable-thinking
|
| 4 |
+
|
| 5 |
+
[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
========== MODEL START ==========
|
| 9 |
+
Qwen/Qwen3.5-2B
|
| 10 |
+
========== MODEL END ==========
|
| 11 |
+
|
| 12 |
+
========== INPUT START ==========
|
| 13 |
+
<|im_start|>user
|
| 14 |
+
Where is the capital of China?<|im_end|>
|
| 15 |
+
<|im_start|>assistant
|
| 16 |
+
<think>
|
| 17 |
+
|
| 18 |
+
</think>
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
========== INPUT END ==========
|
| 22 |
+
|
| 23 |
+
========== MODEL_OUTPUT START ==========
|
| 24 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>
|
| 25 |
+
<|endoftext|>
|
| 26 |
+
========== MODEL_OUTPUT END ==========
|
| 27 |
+
|
| 28 |
+
========== FULL_SEQUENCE START ==========
|
| 29 |
+
<|im_start|>user
|
| 30 |
+
Where is the capital of China?<|im_end|>
|
| 31 |
+
<|im_start|>assistant
|
| 32 |
+
<think>
|
| 33 |
+
|
| 34 |
+
</think>
|
| 35 |
+
|
| 36 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>
|
| 37 |
+
<|endoftext|>
|
| 38 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/enable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:21:26.078205+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3.5-2B",
|
| 6 |
+
"--enable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/enable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3.5-2B",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/enable-thinking",
|
| 23 |
+
"enable_thinking": true,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3.5-2B\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThinking Process:\n\n1. **Identify the core question:** The user is asking \"Where is the capital of China?\"\n2. **Retrieve knowledge:** Access knowledge about the capital of China.\n * Country: People's Republic of China (PRC).\n * Capital: Beijing.\n3. **Verify accuracy:** Is Beijing the capital? Yes.\n4. **Formulate the answer:** State the answer clearly and concisely.\n5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.\n6. **Final Output:** \"The capital of China is Beijing.\" or \"Beijing is the capital of China.\"\n\nLet's keep it direct and helpful.\n\n*Draft:* The capital of China is Beijing.\n*Refinement:* The capital of the People's Republic of China is Beijing.\n\n*Final Decision:* \"The capital of China is Beijing.\" (Simple and direct).\n</think>\n\nThe capital of China is **Beijing**.<|im_end|>\n<|endoftext|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nThinking Process:\n\n1. **Identify the core question:** The user is asking \"Where is the capital of China?\"\n2. **Retrieve knowledge:** Access knowledge about the capital of China.\n * Country: People's Republic of China (PRC).\n * Capital: Beijing.\n3. **Verify accuracy:** Is Beijing the capital? Yes.\n4. **Formulate the answer:** State the answer clearly and concisely.\n5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.\n6. **Final Output:** \"The capital of China is Beijing.\" or \"Beijing is the capital of China.\"\n\nLet's keep it direct and helpful.\n\n*Draft:* The capital of China is Beijing.\n*Refinement:* The capital of the People's Republic of China is Beijing.\n\n*Final Decision:* \"The capital of China is Beijing.\" (Simple and direct).\n</think>\n\nThe capital of China is **Beijing**.<|im_end|>\n<|endoftext|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3.5-2B",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n",
|
| 30 |
+
"MODEL_OUTPUT": "Thinking Process:\n\n1. **Identify the core question:** The user is asking \"Where is the capital of China?\"\n2. **Retrieve knowledge:** Access knowledge about the capital of China.\n * Country: People's Republic of China (PRC).\n * Capital: Beijing.\n3. **Verify accuracy:** Is Beijing the capital? Yes.\n4. **Formulate the answer:** State the answer clearly and concisely.\n5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.\n6. **Final Output:** \"The capital of China is Beijing.\" or \"Beijing is the capital of China.\"\n\nLet's keep it direct and helpful.\n\n*Draft:* The capital of China is Beijing.\n*Refinement:* The capital of the People's Republic of China is Beijing.\n\n*Final Decision:* \"The capital of China is Beijing.\" (Simple and direct).\n</think>\n\nThe capital of China is **Beijing**.<|im_end|>\n<|endoftext|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nThinking Process:\n\n1. **Identify the core question:** The user is asking \"Where is the capital of China?\"\n2. **Retrieve knowledge:** Access knowledge about the capital of China.\n * Country: People's Republic of China (PRC).\n * Capital: Beijing.\n3. **Verify accuracy:** Is Beijing the capital? Yes.\n4. **Formulate the answer:** State the answer clearly and concisely.\n5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.\n6. **Final Output:** \"The capital of China is Beijing.\" or \"Beijing is the capital of China.\"\n\nLet's keep it direct and helpful.\n\n*Draft:* The capital of China is Beijing.\n*Refinement:* The capital of the People's Republic of China is Beijing.\n\n*Final Decision:* \"The capital of China is Beijing.\" (Simple and direct).\n</think>\n\nThe capital of China is **Beijing**.<|im_end|>\n<|endoftext|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/enable-thinking/run.log
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model: Qwen/Qwen3.5-2B
|
| 2 |
+
thinking_mode: enable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3.5-2B --enable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/enable-thinking
|
| 4 |
+
|
| 5 |
+
[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
|
| 6 |
+
|
| 7 |
+
|
| 8 |
+
========== MODEL START ==========
|
| 9 |
+
Qwen/Qwen3.5-2B
|
| 10 |
+
========== MODEL END ==========
|
| 11 |
+
|
| 12 |
+
========== INPUT START ==========
|
| 13 |
+
<|im_start|>user
|
| 14 |
+
Where is the capital of China?<|im_end|>
|
| 15 |
+
<|im_start|>assistant
|
| 16 |
+
<think>
|
| 17 |
+
|
| 18 |
+
========== INPUT END ==========
|
| 19 |
+
|
| 20 |
+
========== MODEL_OUTPUT START ==========
|
| 21 |
+
Thinking Process:
|
| 22 |
+
|
| 23 |
+
1. **Identify the core question:** The user is asking "Where is the capital of China?"
|
| 24 |
+
2. **Retrieve knowledge:** Access knowledge about the capital of China.
|
| 25 |
+
* Country: People's Republic of China (PRC).
|
| 26 |
+
* Capital: Beijing.
|
| 27 |
+
3. **Verify accuracy:** Is Beijing the capital? Yes.
|
| 28 |
+
4. **Formulate the answer:** State the answer clearly and concisely.
|
| 29 |
+
5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.
|
| 30 |
+
6. **Final Output:** "The capital of China is Beijing." or "Beijing is the capital of China."
|
| 31 |
+
|
| 32 |
+
Let's keep it direct and helpful.
|
| 33 |
+
|
| 34 |
+
*Draft:* The capital of China is Beijing.
|
| 35 |
+
*Refinement:* The capital of the People's Republic of China is Beijing.
|
| 36 |
+
|
| 37 |
+
*Final Decision:* "The capital of China is Beijing." (Simple and direct).
|
| 38 |
+
</think>
|
| 39 |
+
|
| 40 |
+
The capital of China is **Beijing**.<|im_end|>
|
| 41 |
+
<|endoftext|>
|
| 42 |
+
========== MODEL_OUTPUT END ==========
|
| 43 |
+
|
| 44 |
+
========== FULL_SEQUENCE START ==========
|
| 45 |
+
<|im_start|>user
|
| 46 |
+
Where is the capital of China?<|im_end|>
|
| 47 |
+
<|im_start|>assistant
|
| 48 |
+
<think>
|
| 49 |
+
Thinking Process:
|
| 50 |
+
|
| 51 |
+
1. **Identify the core question:** The user is asking "Where is the capital of China?"
|
| 52 |
+
2. **Retrieve knowledge:** Access knowledge about the capital of China.
|
| 53 |
+
* Country: People's Republic of China (PRC).
|
| 54 |
+
* Capital: Beijing.
|
| 55 |
+
3. **Verify accuracy:** Is Beijing the capital? Yes.
|
| 56 |
+
4. **Formulate the answer:** State the answer clearly and concisely.
|
| 57 |
+
5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.
|
| 58 |
+
6. **Final Output:** "The capital of China is Beijing." or "Beijing is the capital of China."
|
| 59 |
+
|
| 60 |
+
Let's keep it direct and helpful.
|
| 61 |
+
|
| 62 |
+
*Draft:* The capital of China is Beijing.
|
| 63 |
+
*Refinement:* The capital of the People's Republic of China is Beijing.
|
| 64 |
+
|
| 65 |
+
*Final Decision:* "The capital of China is Beijing." (Simple and direct).
|
| 66 |
+
</think>
|
| 67 |
+
|
| 68 |
+
The capital of China is **Beijing**.<|im_end|>
|
| 69 |
+
<|endoftext|>
|
| 70 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/disable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
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|
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|
|
|
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|
|
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|
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|
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|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:27:03.236174+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3.6-27B",
|
| 6 |
+
"--disable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/disable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3.6-27B",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/disable-thinking",
|
| 23 |
+
"enable_thinking": false,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3.6-27B\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThe capital of China is **Beijing**.\n\nBeijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nThe capital of China is **Beijing**.\n\nBeijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3.6-27B",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n",
|
| 30 |
+
"MODEL_OUTPUT": "The capital of China is **Beijing**.\n\nBeijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nThe capital of China is **Beijing**.\n\nBeijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/disable-thinking/run.log
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model: Qwen/Qwen3.6-27B
|
| 2 |
+
thinking_mode: disable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3.6-27B --disable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/disable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
========== MODEL START ==========
|
| 10 |
+
Qwen/Qwen3.6-27B
|
| 11 |
+
========== MODEL END ==========
|
| 12 |
+
|
| 13 |
+
========== INPUT START ==========
|
| 14 |
+
<|im_start|>user
|
| 15 |
+
Where is the capital of China?<|im_end|>
|
| 16 |
+
<|im_start|>assistant
|
| 17 |
+
<think>
|
| 18 |
+
|
| 19 |
+
</think>
|
| 20 |
+
|
| 21 |
+
|
| 22 |
+
========== INPUT END ==========
|
| 23 |
+
|
| 24 |
+
========== MODEL_OUTPUT START ==========
|
| 25 |
+
The capital of China is **Beijing**.
|
| 26 |
+
|
| 27 |
+
Beijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|>
|
| 28 |
+
========== MODEL_OUTPUT END ==========
|
| 29 |
+
|
| 30 |
+
========== FULL_SEQUENCE START ==========
|
| 31 |
+
<|im_start|>user
|
| 32 |
+
Where is the capital of China?<|im_end|>
|
| 33 |
+
<|im_start|>assistant
|
| 34 |
+
<think>
|
| 35 |
+
|
| 36 |
+
</think>
|
| 37 |
+
|
| 38 |
+
The capital of China is **Beijing**.
|
| 39 |
+
|
| 40 |
+
Beijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|>
|
| 41 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/enable-thinking/inference.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema_version": 1,
|
| 3 |
+
"created_at": "2026-05-12T18:24:33.173295+00:00",
|
| 4 |
+
"argv": [
|
| 5 |
+
"Qwen/Qwen3.6-27B",
|
| 6 |
+
"--enable-thinking",
|
| 7 |
+
"--output-dir",
|
| 8 |
+
"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/enable-thinking"
|
| 9 |
+
],
|
| 10 |
+
"args": {
|
| 11 |
+
"model": "Qwen/Qwen3.6-27B",
|
| 12 |
+
"prompt": "Where is the capital of China?",
|
| 13 |
+
"system_prompt": null,
|
| 14 |
+
"max_new_tokens": 1024,
|
| 15 |
+
"temperature": 0.0,
|
| 16 |
+
"top_p": 0.95,
|
| 17 |
+
"seed": 0,
|
| 18 |
+
"dtype": "auto",
|
| 19 |
+
"device": "auto",
|
| 20 |
+
"trust_remote_code": false,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"output_dir": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/enable-thinking",
|
| 23 |
+
"enable_thinking": true,
|
| 24 |
+
"debug": false
|
| 25 |
+
},
|
| 26 |
+
"stdout": "\n========== MODEL START ==========\nQwen/Qwen3.6-27B\n========== MODEL END ==========\n\n========== INPUT START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n\n========== INPUT END ==========\n\n========== MODEL_OUTPUT START ==========\nThinking Process:\n\n1. **Identify the core question**: The user is asking for the capital of China.\n2. **Retrieve knowledge**: Access knowledge about countries and their capitals.\n * Country: China (People's Republic of China)\n * Capital: Beijing\n3. **Formulate the answer**: State clearly that the capital of China is Beijing.\n4. **Review and refine**: Keep it concise and direct. \"The capital of China is Beijing.\"\n5. **Final Output Generation**: Output the formulated answer.\n\n*Self-Correction/Verification during thought process*:\n- Is there any ambiguity? No.\n- Is it a trick question? No.\n- Is the information up-to-date? Yes, Beijing has been the capital for a long time.\n\n*Drafting response*: The capital of China is Beijing.\n*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).\n</think>\n\nThe capital of China is Beijing.<|im_end|>\n========== MODEL_OUTPUT END ==========\n\n========== FULL_SEQUENCE START ==========\n<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nThinking Process:\n\n1. **Identify the core question**: The user is asking for the capital of China.\n2. **Retrieve knowledge**: Access knowledge about countries and their capitals.\n * Country: China (People's Republic of China)\n * Capital: Beijing\n3. **Formulate the answer**: State clearly that the capital of China is Beijing.\n4. **Review and refine**: Keep it concise and direct. \"The capital of China is Beijing.\"\n5. **Final Output Generation**: Output the formulated answer.\n\n*Self-Correction/Verification during thought process*:\n- Is there any ambiguity? No.\n- Is it a trick question? No.\n- Is the information up-to-date? Yes, Beijing has been the capital for a long time.\n\n*Drafting response*: The capital of China is Beijing.\n*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).\n</think>\n\nThe capital of China is Beijing.<|im_end|>\n========== FULL_SEQUENCE END ==========\n",
|
| 27 |
+
"sections": {
|
| 28 |
+
"MODEL": "Qwen/Qwen3.6-27B",
|
| 29 |
+
"INPUT": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\n",
|
| 30 |
+
"MODEL_OUTPUT": "Thinking Process:\n\n1. **Identify the core question**: The user is asking for the capital of China.\n2. **Retrieve knowledge**: Access knowledge about countries and their capitals.\n * Country: China (People's Republic of China)\n * Capital: Beijing\n3. **Formulate the answer**: State clearly that the capital of China is Beijing.\n4. **Review and refine**: Keep it concise and direct. \"The capital of China is Beijing.\"\n5. **Final Output Generation**: Output the formulated answer.\n\n*Self-Correction/Verification during thought process*:\n- Is there any ambiguity? No.\n- Is it a trick question? No.\n- Is the information up-to-date? Yes, Beijing has been the capital for a long time.\n\n*Drafting response*: The capital of China is Beijing.\n*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).\n</think>\n\nThe capital of China is Beijing.<|im_end|>",
|
| 31 |
+
"FULL_SEQUENCE": "<|im_start|>user\nWhere is the capital of China?<|im_end|>\n<|im_start|>assistant\n<think>\nThinking Process:\n\n1. **Identify the core question**: The user is asking for the capital of China.\n2. **Retrieve knowledge**: Access knowledge about countries and their capitals.\n * Country: China (People's Republic of China)\n * Capital: Beijing\n3. **Formulate the answer**: State clearly that the capital of China is Beijing.\n4. **Review and refine**: Keep it concise and direct. \"The capital of China is Beijing.\"\n5. **Final Output Generation**: Output the formulated answer.\n\n*Self-Correction/Verification during thought process*:\n- Is there any ambiguity? No.\n- Is it a trick question? No.\n- Is the information up-to-date? Yes, Beijing has been the capital for a long time.\n\n*Drafting response*: The capital of China is Beijing.\n*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).\n</think>\n\nThe capital of China is Beijing.<|im_end|>"
|
| 32 |
+
}
|
| 33 |
+
}
|
inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/enable-thinking/run.log
ADDED
|
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model: Qwen/Qwen3.6-27B
|
| 2 |
+
thinking_mode: enable-thinking
|
| 3 |
+
command: python src/inference/simple_infer.py Qwen/Qwen3.6-27B --enable-thinking '' --output-dir /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/enable-thinking
|
| 4 |
+
|
| 5 |
+
|
| 6 |
+
[transformers] The fast path is not available because one of the required library is not installed. Falling back to torch implementation. To install follow https://github.com/fla-org/flash-linear-attention#installation and https://github.com/Dao-AILab/causal-conv1d
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
========== MODEL START ==========
|
| 10 |
+
Qwen/Qwen3.6-27B
|
| 11 |
+
========== MODEL END ==========
|
| 12 |
+
|
| 13 |
+
========== INPUT START ==========
|
| 14 |
+
<|im_start|>user
|
| 15 |
+
Where is the capital of China?<|im_end|>
|
| 16 |
+
<|im_start|>assistant
|
| 17 |
+
<think>
|
| 18 |
+
|
| 19 |
+
========== INPUT END ==========
|
| 20 |
+
|
| 21 |
+
========== MODEL_OUTPUT START ==========
|
| 22 |
+
Thinking Process:
|
| 23 |
+
|
| 24 |
+
1. **Identify the core question**: The user is asking for the capital of China.
|
| 25 |
+
2. **Retrieve knowledge**: Access knowledge about countries and their capitals.
|
| 26 |
+
* Country: China (People's Republic of China)
|
| 27 |
+
* Capital: Beijing
|
| 28 |
+
3. **Formulate the answer**: State clearly that the capital of China is Beijing.
|
| 29 |
+
4. **Review and refine**: Keep it concise and direct. "The capital of China is Beijing."
|
| 30 |
+
5. **Final Output Generation**: Output the formulated answer.
|
| 31 |
+
|
| 32 |
+
*Self-Correction/Verification during thought process*:
|
| 33 |
+
- Is there any ambiguity? No.
|
| 34 |
+
- Is it a trick question? No.
|
| 35 |
+
- Is the information up-to-date? Yes, Beijing has been the capital for a long time.
|
| 36 |
+
|
| 37 |
+
*Drafting response*: The capital of China is Beijing.
|
| 38 |
+
*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).
|
| 39 |
+
</think>
|
| 40 |
+
|
| 41 |
+
The capital of China is Beijing.<|im_end|>
|
| 42 |
+
========== MODEL_OUTPUT END ==========
|
| 43 |
+
|
| 44 |
+
========== FULL_SEQUENCE START ==========
|
| 45 |
+
<|im_start|>user
|
| 46 |
+
Where is the capital of China?<|im_end|>
|
| 47 |
+
<|im_start|>assistant
|
| 48 |
+
<think>
|
| 49 |
+
Thinking Process:
|
| 50 |
+
|
| 51 |
+
1. **Identify the core question**: The user is asking for the capital of China.
|
| 52 |
+
2. **Retrieve knowledge**: Access knowledge about countries and their capitals.
|
| 53 |
+
* Country: China (People's Republic of China)
|
| 54 |
+
* Capital: Beijing
|
| 55 |
+
3. **Formulate the answer**: State clearly that the capital of China is Beijing.
|
| 56 |
+
4. **Review and refine**: Keep it concise and direct. "The capital of China is Beijing."
|
| 57 |
+
5. **Final Output Generation**: Output the formulated answer.
|
| 58 |
+
|
| 59 |
+
*Self-Correction/Verification during thought process*:
|
| 60 |
+
- Is there any ambiguity? No.
|
| 61 |
+
- Is it a trick question? No.
|
| 62 |
+
- Is the information up-to-date? Yes, Beijing has been the capital for a long time.
|
| 63 |
+
|
| 64 |
+
*Drafting response*: The capital of China is Beijing.
|
| 65 |
+
*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).
|
| 66 |
+
</think>
|
| 67 |
+
|
| 68 |
+
The capital of China is Beijing.<|im_end|>
|
| 69 |
+
========== FULL_SEQUENCE END ==========
|
inference/thinking_mode_ablation/20260512T181548Z/index.html
ADDED
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| 1 |
+
<!doctype html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="utf-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1">
|
| 6 |
+
<title>Thinking Mode Ablation - 20260512T181548Z</title>
|
| 7 |
+
<style>
|
| 8 |
+
:root {
|
| 9 |
+
color-scheme: light;
|
| 10 |
+
--bg: #f6f7f9;
|
| 11 |
+
--panel: #ffffff;
|
| 12 |
+
--panel-alt: #f1f5f9;
|
| 13 |
+
--text: #172033;
|
| 14 |
+
--muted: #5f6b7a;
|
| 15 |
+
--border: #d8dee8;
|
| 16 |
+
--accent: #0f766e;
|
| 17 |
+
--fail: #b42318;
|
| 18 |
+
--ok: #067647;
|
| 19 |
+
}
|
| 20 |
+
* { box-sizing: border-box; }
|
| 21 |
+
body {
|
| 22 |
+
margin: 0;
|
| 23 |
+
background: var(--bg);
|
| 24 |
+
color: var(--text);
|
| 25 |
+
font-family: ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
|
| 26 |
+
line-height: 1.45;
|
| 27 |
+
}
|
| 28 |
+
main {
|
| 29 |
+
width: min(1600px, calc(100% - 32px));
|
| 30 |
+
margin: 0 auto;
|
| 31 |
+
padding: 28px 0 40px;
|
| 32 |
+
}
|
| 33 |
+
header {
|
| 34 |
+
margin-bottom: 24px;
|
| 35 |
+
}
|
| 36 |
+
h1 {
|
| 37 |
+
margin: 0 0 8px;
|
| 38 |
+
font-size: 28px;
|
| 39 |
+
line-height: 1.15;
|
| 40 |
+
letter-spacing: 0;
|
| 41 |
+
}
|
| 42 |
+
h2 {
|
| 43 |
+
margin: 0 0 14px;
|
| 44 |
+
font-size: 20px;
|
| 45 |
+
letter-spacing: 0;
|
| 46 |
+
}
|
| 47 |
+
h3 {
|
| 48 |
+
margin: 0;
|
| 49 |
+
font-size: 16px;
|
| 50 |
+
letter-spacing: 0;
|
| 51 |
+
}
|
| 52 |
+
.meta {
|
| 53 |
+
display: flex;
|
| 54 |
+
flex-wrap: wrap;
|
| 55 |
+
gap: 8px 16px;
|
| 56 |
+
color: var(--muted);
|
| 57 |
+
font-size: 14px;
|
| 58 |
+
}
|
| 59 |
+
.summary {
|
| 60 |
+
border: 1px solid var(--border);
|
| 61 |
+
border-radius: 8px;
|
| 62 |
+
background: var(--panel);
|
| 63 |
+
padding: 16px;
|
| 64 |
+
margin-bottom: 18px;
|
| 65 |
+
}
|
| 66 |
+
.model {
|
| 67 |
+
border: 1px solid var(--border);
|
| 68 |
+
border-radius: 8px;
|
| 69 |
+
background: var(--panel);
|
| 70 |
+
padding: 16px;
|
| 71 |
+
margin-top: 18px;
|
| 72 |
+
}
|
| 73 |
+
.mode-summary-grid,
|
| 74 |
+
.section-cells {
|
| 75 |
+
display: grid;
|
| 76 |
+
grid-template-columns: repeat(2, minmax(0, 1fr));
|
| 77 |
+
gap: 14px;
|
| 78 |
+
}
|
| 79 |
+
.mode,
|
| 80 |
+
.section-cell {
|
| 81 |
+
min-width: 0;
|
| 82 |
+
border: 1px solid var(--border);
|
| 83 |
+
border-radius: 8px;
|
| 84 |
+
background: var(--panel-alt);
|
| 85 |
+
padding: 12px;
|
| 86 |
+
}
|
| 87 |
+
.mode-header {
|
| 88 |
+
display: flex;
|
| 89 |
+
align-items: center;
|
| 90 |
+
justify-content: space-between;
|
| 91 |
+
gap: 10px;
|
| 92 |
+
margin-bottom: 10px;
|
| 93 |
+
}
|
| 94 |
+
.cell-mode {
|
| 95 |
+
margin-bottom: 8px;
|
| 96 |
+
color: var(--muted);
|
| 97 |
+
font-size: 13px;
|
| 98 |
+
font-weight: 700;
|
| 99 |
+
}
|
| 100 |
+
.status {
|
| 101 |
+
display: inline-flex;
|
| 102 |
+
align-items: center;
|
| 103 |
+
min-height: 24px;
|
| 104 |
+
padding: 2px 8px;
|
| 105 |
+
border: 1px solid var(--border);
|
| 106 |
+
border-radius: 999px;
|
| 107 |
+
background: #fff;
|
| 108 |
+
color: var(--ok);
|
| 109 |
+
font-size: 12px;
|
| 110 |
+
font-weight: 650;
|
| 111 |
+
white-space: nowrap;
|
| 112 |
+
}
|
| 113 |
+
.status.fail { color: var(--fail); }
|
| 114 |
+
a { color: var(--accent); text-decoration: none; }
|
| 115 |
+
a:hover { text-decoration: underline; }
|
| 116 |
+
pre {
|
| 117 |
+
overflow: auto;
|
| 118 |
+
white-space: pre-wrap;
|
| 119 |
+
overflow-wrap: anywhere;
|
| 120 |
+
margin: 10px 0 0;
|
| 121 |
+
padding: 12px;
|
| 122 |
+
border: 1px solid var(--border);
|
| 123 |
+
border-radius: 6px;
|
| 124 |
+
background: #fff;
|
| 125 |
+
color: #111827;
|
| 126 |
+
font: 13px/1.45 ui-monospace, SFMono-Regular, Menlo, Consolas, "Liberation Mono", monospace;
|
| 127 |
+
}
|
| 128 |
+
.section-row {
|
| 129 |
+
margin-top: 16px;
|
| 130 |
+
}
|
| 131 |
+
.section-row-title {
|
| 132 |
+
margin: 0 0 8px;
|
| 133 |
+
color: var(--muted);
|
| 134 |
+
font-size: 14px;
|
| 135 |
+
font-weight: 700;
|
| 136 |
+
letter-spacing: 0;
|
| 137 |
+
}
|
| 138 |
+
details {
|
| 139 |
+
margin-top: 10px;
|
| 140 |
+
}
|
| 141 |
+
summary {
|
| 142 |
+
cursor: pointer;
|
| 143 |
+
color: var(--muted);
|
| 144 |
+
font-size: 14px;
|
| 145 |
+
}
|
| 146 |
+
.missing {
|
| 147 |
+
margin-top: 10px;
|
| 148 |
+
padding: 12px;
|
| 149 |
+
border: 1px solid #f0b8b2;
|
| 150 |
+
border-radius: 6px;
|
| 151 |
+
background: #fff7f6;
|
| 152 |
+
color: var(--fail);
|
| 153 |
+
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, "Liberation Mono", monospace;
|
| 154 |
+
font-size: 13px;
|
| 155 |
+
}
|
| 156 |
+
@media (max-width: 900px) {
|
| 157 |
+
main { width: min(100% - 20px, 1600px); }
|
| 158 |
+
.mode-summary-grid,
|
| 159 |
+
.section-cells { grid-template-columns: 1fr; }
|
| 160 |
+
}
|
| 161 |
+
</style>
|
| 162 |
+
</head>
|
| 163 |
+
<body>
|
| 164 |
+
<main>
|
| 165 |
+
<header>
|
| 166 |
+
<h1>Thinking Mode Ablation</h1>
|
| 167 |
+
<div class="meta">
|
| 168 |
+
<span>Run: 20260512T181548Z</span>
|
| 169 |
+
<span>Generated: 2026-05-12T18:27:04.658130+00:00</span>
|
| 170 |
+
<span>Directory: /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z</span>
|
| 171 |
+
</div>
|
| 172 |
+
</header>
|
| 173 |
+
<section class="summary">
|
| 174 |
+
<h2>Summary</h2>
|
| 175 |
+
<div class="meta">
|
| 176 |
+
<span>Models: 7</span>
|
| 177 |
+
<span>Outputs: 14</span>
|
| 178 |
+
</div>
|
| 179 |
+
<details>
|
| 180 |
+
<summary>Rendered input prompt</summary>
|
| 181 |
+
<pre><|im_start|>system
|
| 182 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 183 |
+
<|im_start|>user
|
| 184 |
+
Where is the capital of China?<|im_end|>
|
| 185 |
+
<|im_start|>assistant
|
| 186 |
+
</pre>
|
| 187 |
+
</details>
|
| 188 |
+
</section>
|
| 189 |
+
|
| 190 |
+
<section class="model">
|
| 191 |
+
<h2>Qwen/Qwen2.5-1.5B-Instruct</h2>
|
| 192 |
+
<div class="mode-summary-grid">
|
| 193 |
+
|
| 194 |
+
<article class="mode">
|
| 195 |
+
<div class="mode-header">
|
| 196 |
+
<h3>enable-thinking</h3>
|
| 197 |
+
<span class="status">exit 0</span>
|
| 198 |
+
</div>
|
| 199 |
+
<a href="Qwen__Qwen2.5-1.5B-Instruct/enable-thinking/inference.json">Raw output</a>
|
| 200 |
+
|
| 201 |
+
<details>
|
| 202 |
+
<summary>Raw log</summary>
|
| 203 |
+
<pre>
|
| 204 |
+
========== MODEL START ==========
|
| 205 |
+
Qwen/Qwen2.5-1.5B-Instruct
|
| 206 |
+
========== MODEL END ==========
|
| 207 |
+
|
| 208 |
+
========== INPUT START ==========
|
| 209 |
+
<|im_start|>system
|
| 210 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 211 |
+
<|im_start|>user
|
| 212 |
+
Where is the capital of China?<|im_end|>
|
| 213 |
+
<|im_start|>assistant
|
| 214 |
+
|
| 215 |
+
========== INPUT END ==========
|
| 216 |
+
|
| 217 |
+
========== MODEL_OUTPUT START ==========
|
| 218 |
+
The capital of China is Beijing.<|im_end|>
|
| 219 |
+
========== MODEL_OUTPUT END ==========
|
| 220 |
+
|
| 221 |
+
========== FULL_SEQUENCE START ==========
|
| 222 |
+
<|im_start|>system
|
| 223 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 224 |
+
<|im_start|>user
|
| 225 |
+
Where is the capital of China?<|im_end|>
|
| 226 |
+
<|im_start|>assistant
|
| 227 |
+
The capital of China is Beijing.<|im_end|>
|
| 228 |
+
========== FULL_SEQUENCE END ==========
|
| 229 |
+
</pre>
|
| 230 |
+
</details>
|
| 231 |
+
</article>
|
| 232 |
+
|
| 233 |
+
<article class="mode">
|
| 234 |
+
<div class="mode-header">
|
| 235 |
+
<h3>disable-thinking</h3>
|
| 236 |
+
<span class="status">exit 0</span>
|
| 237 |
+
</div>
|
| 238 |
+
<a href="Qwen__Qwen2.5-1.5B-Instruct/disable-thinking/inference.json">Raw output</a>
|
| 239 |
+
|
| 240 |
+
<details>
|
| 241 |
+
<summary>Raw log</summary>
|
| 242 |
+
<pre>
|
| 243 |
+
========== MODEL START ==========
|
| 244 |
+
Qwen/Qwen2.5-1.5B-Instruct
|
| 245 |
+
========== MODEL END ==========
|
| 246 |
+
|
| 247 |
+
========== INPUT START ==========
|
| 248 |
+
<|im_start|>system
|
| 249 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 250 |
+
<|im_start|>user
|
| 251 |
+
Where is the capital of China?<|im_end|>
|
| 252 |
+
<|im_start|>assistant
|
| 253 |
+
|
| 254 |
+
========== INPUT END ==========
|
| 255 |
+
|
| 256 |
+
========== MODEL_OUTPUT START ==========
|
| 257 |
+
The capital of China is Beijing.<|im_end|>
|
| 258 |
+
========== MODEL_OUTPUT END ==========
|
| 259 |
+
|
| 260 |
+
========== FULL_SEQUENCE START ==========
|
| 261 |
+
<|im_start|>system
|
| 262 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 263 |
+
<|im_start|>user
|
| 264 |
+
Where is the capital of China?<|im_end|>
|
| 265 |
+
<|im_start|>assistant
|
| 266 |
+
The capital of China is Beijing.<|im_end|>
|
| 267 |
+
========== FULL_SEQUENCE END ==========
|
| 268 |
+
</pre>
|
| 269 |
+
</details>
|
| 270 |
+
</article>
|
| 271 |
+
</div>
|
| 272 |
+
|
| 273 |
+
<section class="section-row">
|
| 274 |
+
<h3 class="section-row-title">INPUT</h3>
|
| 275 |
+
<div class="section-cells">
|
| 276 |
+
|
| 277 |
+
<article class="section-cell">
|
| 278 |
+
<div class="cell-mode">enable-thinking</div>
|
| 279 |
+
<pre><|im_start|>system
|
| 280 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 281 |
+
<|im_start|>user
|
| 282 |
+
Where is the capital of China?<|im_end|>
|
| 283 |
+
<|im_start|>assistant
|
| 284 |
+
</pre>
|
| 285 |
+
</article>
|
| 286 |
+
|
| 287 |
+
<article class="section-cell">
|
| 288 |
+
<div class="cell-mode">disable-thinking</div>
|
| 289 |
+
<pre><|im_start|>system
|
| 290 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 291 |
+
<|im_start|>user
|
| 292 |
+
Where is the capital of China?<|im_end|>
|
| 293 |
+
<|im_start|>assistant
|
| 294 |
+
</pre>
|
| 295 |
+
</article>
|
| 296 |
+
</div>
|
| 297 |
+
</section>
|
| 298 |
+
|
| 299 |
+
<section class="section-row">
|
| 300 |
+
<h3 class="section-row-title">MODEL_OUTPUT</h3>
|
| 301 |
+
<div class="section-cells">
|
| 302 |
+
|
| 303 |
+
<article class="section-cell">
|
| 304 |
+
<div class="cell-mode">enable-thinking</div>
|
| 305 |
+
<pre>The capital of China is Beijing.<|im_end|></pre>
|
| 306 |
+
</article>
|
| 307 |
+
|
| 308 |
+
<article class="section-cell">
|
| 309 |
+
<div class="cell-mode">disable-thinking</div>
|
| 310 |
+
<pre>The capital of China is Beijing.<|im_end|></pre>
|
| 311 |
+
</article>
|
| 312 |
+
</div>
|
| 313 |
+
</section>
|
| 314 |
+
|
| 315 |
+
<section class="section-row">
|
| 316 |
+
<h3 class="section-row-title">FULL_SEQUENCE</h3>
|
| 317 |
+
<div class="section-cells">
|
| 318 |
+
|
| 319 |
+
<article class="section-cell">
|
| 320 |
+
<div class="cell-mode">enable-thinking</div>
|
| 321 |
+
<pre><|im_start|>system
|
| 322 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 323 |
+
<|im_start|>user
|
| 324 |
+
Where is the capital of China?<|im_end|>
|
| 325 |
+
<|im_start|>assistant
|
| 326 |
+
The capital of China is Beijing.<|im_end|></pre>
|
| 327 |
+
</article>
|
| 328 |
+
|
| 329 |
+
<article class="section-cell">
|
| 330 |
+
<div class="cell-mode">disable-thinking</div>
|
| 331 |
+
<pre><|im_start|>system
|
| 332 |
+
You are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>
|
| 333 |
+
<|im_start|>user
|
| 334 |
+
Where is the capital of China?<|im_end|>
|
| 335 |
+
<|im_start|>assistant
|
| 336 |
+
The capital of China is Beijing.<|im_end|></pre>
|
| 337 |
+
</article>
|
| 338 |
+
</div>
|
| 339 |
+
</section>
|
| 340 |
+
</section>
|
| 341 |
+
|
| 342 |
+
<section class="model">
|
| 343 |
+
<h2>Qwen/Qwen3-1.7B</h2>
|
| 344 |
+
<div class="mode-summary-grid">
|
| 345 |
+
|
| 346 |
+
<article class="mode">
|
| 347 |
+
<div class="mode-header">
|
| 348 |
+
<h3>enable-thinking</h3>
|
| 349 |
+
<span class="status">exit 0</span>
|
| 350 |
+
</div>
|
| 351 |
+
<a href="Qwen__Qwen3-1.7B/enable-thinking/inference.json">Raw output</a>
|
| 352 |
+
|
| 353 |
+
<details>
|
| 354 |
+
<summary>Raw log</summary>
|
| 355 |
+
<pre>
|
| 356 |
+
========== MODEL START ==========
|
| 357 |
+
Qwen/Qwen3-1.7B
|
| 358 |
+
========== MODEL END ==========
|
| 359 |
+
|
| 360 |
+
========== INPUT START ==========
|
| 361 |
+
<|im_start|>user
|
| 362 |
+
Where is the capital of China?<|im_end|>
|
| 363 |
+
<|im_start|>assistant
|
| 364 |
+
|
| 365 |
+
========== INPUT END ==========
|
| 366 |
+
|
| 367 |
+
========== MODEL_OUTPUT START ==========
|
| 368 |
+
<think>
|
| 369 |
+
Okay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing.
|
| 370 |
+
|
| 371 |
+
Wait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China.
|
| 372 |
+
|
| 373 |
+
I should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai.
|
| 374 |
+
|
| 375 |
+
Is there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better.
|
| 376 |
+
|
| 377 |
+
I think that's all. The answer is Beijing, and I should present it clearly.
|
| 378 |
+
</think>
|
| 379 |
+
|
| 380 |
+
The capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|>
|
| 381 |
+
========== MODEL_OUTPUT END ==========
|
| 382 |
+
|
| 383 |
+
========== FULL_SEQUENCE START ==========
|
| 384 |
+
<|im_start|>user
|
| 385 |
+
Where is the capital of China?<|im_end|>
|
| 386 |
+
<|im_start|>assistant
|
| 387 |
+
<think>
|
| 388 |
+
Okay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing.
|
| 389 |
+
|
| 390 |
+
Wait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China.
|
| 391 |
+
|
| 392 |
+
I should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai.
|
| 393 |
+
|
| 394 |
+
Is there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better.
|
| 395 |
+
|
| 396 |
+
I think that's all. The answer is Beijing, and I should present it clearly.
|
| 397 |
+
</think>
|
| 398 |
+
|
| 399 |
+
The capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|>
|
| 400 |
+
========== FULL_SEQUENCE END ==========
|
| 401 |
+
</pre>
|
| 402 |
+
</details>
|
| 403 |
+
</article>
|
| 404 |
+
|
| 405 |
+
<article class="mode">
|
| 406 |
+
<div class="mode-header">
|
| 407 |
+
<h3>disable-thinking</h3>
|
| 408 |
+
<span class="status">exit 0</span>
|
| 409 |
+
</div>
|
| 410 |
+
<a href="Qwen__Qwen3-1.7B/disable-thinking/inference.json">Raw output</a>
|
| 411 |
+
|
| 412 |
+
<details>
|
| 413 |
+
<summary>Raw log</summary>
|
| 414 |
+
<pre>
|
| 415 |
+
========== MODEL START ==========
|
| 416 |
+
Qwen/Qwen3-1.7B
|
| 417 |
+
========== MODEL END ==========
|
| 418 |
+
|
| 419 |
+
========== INPUT START ==========
|
| 420 |
+
<|im_start|>user
|
| 421 |
+
Where is the capital of China?<|im_end|>
|
| 422 |
+
<|im_start|>assistant
|
| 423 |
+
<think>
|
| 424 |
+
|
| 425 |
+
</think>
|
| 426 |
+
|
| 427 |
+
|
| 428 |
+
========== INPUT END ==========
|
| 429 |
+
|
| 430 |
+
========== MODEL_OUTPUT START ==========
|
| 431 |
+
The capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|>
|
| 432 |
+
========== MODEL_OUTPUT END ==========
|
| 433 |
+
|
| 434 |
+
========== FULL_SEQUENCE START ==========
|
| 435 |
+
<|im_start|>user
|
| 436 |
+
Where is the capital of China?<|im_end|>
|
| 437 |
+
<|im_start|>assistant
|
| 438 |
+
<think>
|
| 439 |
+
|
| 440 |
+
</think>
|
| 441 |
+
|
| 442 |
+
The capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|>
|
| 443 |
+
========== FULL_SEQUENCE END ==========
|
| 444 |
+
</pre>
|
| 445 |
+
</details>
|
| 446 |
+
</article>
|
| 447 |
+
</div>
|
| 448 |
+
|
| 449 |
+
<section class="section-row">
|
| 450 |
+
<h3 class="section-row-title">INPUT</h3>
|
| 451 |
+
<div class="section-cells">
|
| 452 |
+
|
| 453 |
+
<article class="section-cell">
|
| 454 |
+
<div class="cell-mode">enable-thinking</div>
|
| 455 |
+
<pre><|im_start|>user
|
| 456 |
+
Where is the capital of China?<|im_end|>
|
| 457 |
+
<|im_start|>assistant
|
| 458 |
+
</pre>
|
| 459 |
+
</article>
|
| 460 |
+
|
| 461 |
+
<article class="section-cell">
|
| 462 |
+
<div class="cell-mode">disable-thinking</div>
|
| 463 |
+
<pre><|im_start|>user
|
| 464 |
+
Where is the capital of China?<|im_end|>
|
| 465 |
+
<|im_start|>assistant
|
| 466 |
+
<think>
|
| 467 |
+
|
| 468 |
+
</think>
|
| 469 |
+
|
| 470 |
+
</pre>
|
| 471 |
+
</article>
|
| 472 |
+
</div>
|
| 473 |
+
</section>
|
| 474 |
+
|
| 475 |
+
<section class="section-row">
|
| 476 |
+
<h3 class="section-row-title">MODEL_OUTPUT</h3>
|
| 477 |
+
<div class="section-cells">
|
| 478 |
+
|
| 479 |
+
<article class="section-cell">
|
| 480 |
+
<div class="cell-mode">enable-thinking</div>
|
| 481 |
+
<pre><think>
|
| 482 |
+
Okay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing.
|
| 483 |
+
|
| 484 |
+
Wait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China.
|
| 485 |
+
|
| 486 |
+
I should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai.
|
| 487 |
+
|
| 488 |
+
Is there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better.
|
| 489 |
+
|
| 490 |
+
I think that's all. The answer is Beijing, and I should present it clearly.
|
| 491 |
+
</think>
|
| 492 |
+
|
| 493 |
+
The capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|></pre>
|
| 494 |
+
</article>
|
| 495 |
+
|
| 496 |
+
<article class="section-cell">
|
| 497 |
+
<div class="cell-mode">disable-thinking</div>
|
| 498 |
+
<pre>The capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|></pre>
|
| 499 |
+
</article>
|
| 500 |
+
</div>
|
| 501 |
+
</section>
|
| 502 |
+
|
| 503 |
+
<section class="section-row">
|
| 504 |
+
<h3 class="section-row-title">FULL_SEQUENCE</h3>
|
| 505 |
+
<div class="section-cells">
|
| 506 |
+
|
| 507 |
+
<article class="section-cell">
|
| 508 |
+
<div class="cell-mode">enable-thinking</div>
|
| 509 |
+
<pre><|im_start|>user
|
| 510 |
+
Where is the capital of China?<|im_end|>
|
| 511 |
+
<|im_start|>assistant
|
| 512 |
+
<think>
|
| 513 |
+
Okay, the user is asking where the capital of China is. I need to make sure I get this right. Let me think. I remember that China's capital is Beijing. But wait, I should double-check to be sure. Sometimes there might be confusion with other countries' capitals. For example, Tokyo is the capital of Japan, and Paris is the capital of France. So, China's capital is definitely Beijing.
|
| 514 |
+
|
| 515 |
+
Wait, but maybe the user is thinking of another city? Like, sometimes people might confuse it with Shanghai or another major city. But no, the capital is the official seat of government. Beijing has been the capital since the 7th century, right? And it's the largest city in China.
|
| 516 |
+
|
| 517 |
+
I should also mention that the capital is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. That's a key point. Also, it's important to note that the capital is not the same as the largest city, which is Shanghai.
|
| 518 |
+
|
| 519 |
+
Is there any other information I should include? Maybe the population or some historical context? But the user just asked for the location, so keeping it concise is better.
|
| 520 |
+
|
| 521 |
+
I think that's all. The answer is Beijing, and I should present it clearly.
|
| 522 |
+
</think>
|
| 523 |
+
|
| 524 |
+
The capital of China is **Beijing**. It has been the capital since the 7th century and is located in the northern part of the country, in the Beijing-Tianjin-Hebei region. While Shanghai is the largest city and the economic center, Beijing serves as the political and cultural capital of China.<|im_end|></pre>
|
| 525 |
+
</article>
|
| 526 |
+
|
| 527 |
+
<article class="section-cell">
|
| 528 |
+
<div class="cell-mode">disable-thinking</div>
|
| 529 |
+
<pre><|im_start|>user
|
| 530 |
+
Where is the capital of China?<|im_end|>
|
| 531 |
+
<|im_start|>assistant
|
| 532 |
+
<think>
|
| 533 |
+
|
| 534 |
+
</think>
|
| 535 |
+
|
| 536 |
+
The capital of China is **Beijing**. It is the political, cultural, and economic center of the country.<|im_end|></pre>
|
| 537 |
+
</article>
|
| 538 |
+
</div>
|
| 539 |
+
</section>
|
| 540 |
+
</section>
|
| 541 |
+
|
| 542 |
+
<section class="model">
|
| 543 |
+
<h2>Qwen/Qwen3-4B</h2>
|
| 544 |
+
<div class="mode-summary-grid">
|
| 545 |
+
|
| 546 |
+
<article class="mode">
|
| 547 |
+
<div class="mode-header">
|
| 548 |
+
<h3>enable-thinking</h3>
|
| 549 |
+
<span class="status">exit 0</span>
|
| 550 |
+
</div>
|
| 551 |
+
<a href="Qwen__Qwen3-4B/enable-thinking/inference.json">Raw output</a>
|
| 552 |
+
|
| 553 |
+
<details>
|
| 554 |
+
<summary>Raw log</summary>
|
| 555 |
+
<pre>
|
| 556 |
+
========== MODEL START ==========
|
| 557 |
+
Qwen/Qwen3-4B
|
| 558 |
+
========== MODEL END ==========
|
| 559 |
+
|
| 560 |
+
========== INPUT START ==========
|
| 561 |
+
<|im_start|>user
|
| 562 |
+
Where is the capital of China?<|im_end|>
|
| 563 |
+
<|im_start|>assistant
|
| 564 |
+
|
| 565 |
+
========== INPUT END ==========
|
| 566 |
+
|
| 567 |
+
========== MODEL_OUTPUT START ==========
|
| 568 |
+
<think>
|
| 569 |
+
Okay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.
|
| 570 |
+
</think>
|
| 571 |
+
|
| 572 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|>
|
| 573 |
+
========== MODEL_OUTPUT END ==========
|
| 574 |
+
|
| 575 |
+
========== FULL_SEQUENCE START ==========
|
| 576 |
+
<|im_start|>user
|
| 577 |
+
Where is the capital of China?<|im_end|>
|
| 578 |
+
<|im_start|>assistant
|
| 579 |
+
<think>
|
| 580 |
+
Okay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.
|
| 581 |
+
</think>
|
| 582 |
+
|
| 583 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|>
|
| 584 |
+
========== FULL_SEQUENCE END ==========
|
| 585 |
+
</pre>
|
| 586 |
+
</details>
|
| 587 |
+
</article>
|
| 588 |
+
|
| 589 |
+
<article class="mode">
|
| 590 |
+
<div class="mode-header">
|
| 591 |
+
<h3>disable-thinking</h3>
|
| 592 |
+
<span class="status">exit 0</span>
|
| 593 |
+
</div>
|
| 594 |
+
<a href="Qwen__Qwen3-4B/disable-thinking/inference.json">Raw output</a>
|
| 595 |
+
|
| 596 |
+
<details>
|
| 597 |
+
<summary>Raw log</summary>
|
| 598 |
+
<pre>
|
| 599 |
+
========== MODEL START ==========
|
| 600 |
+
Qwen/Qwen3-4B
|
| 601 |
+
========== MODEL END ==========
|
| 602 |
+
|
| 603 |
+
========== INPUT START ==========
|
| 604 |
+
<|im_start|>user
|
| 605 |
+
Where is the capital of China?<|im_end|>
|
| 606 |
+
<|im_start|>assistant
|
| 607 |
+
<think>
|
| 608 |
+
|
| 609 |
+
</think>
|
| 610 |
+
|
| 611 |
+
|
| 612 |
+
========== INPUT END ==========
|
| 613 |
+
|
| 614 |
+
========== MODEL_OUTPUT START ==========
|
| 615 |
+
The capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|>
|
| 616 |
+
========== MODEL_OUTPUT END ==========
|
| 617 |
+
|
| 618 |
+
========== FULL_SEQUENCE START ==========
|
| 619 |
+
<|im_start|>user
|
| 620 |
+
Where is the capital of China?<|im_end|>
|
| 621 |
+
<|im_start|>assistant
|
| 622 |
+
<think>
|
| 623 |
+
|
| 624 |
+
</think>
|
| 625 |
+
|
| 626 |
+
The capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|>
|
| 627 |
+
========== FULL_SEQUENCE END ==========
|
| 628 |
+
</pre>
|
| 629 |
+
</details>
|
| 630 |
+
</article>
|
| 631 |
+
</div>
|
| 632 |
+
|
| 633 |
+
<section class="section-row">
|
| 634 |
+
<h3 class="section-row-title">INPUT</h3>
|
| 635 |
+
<div class="section-cells">
|
| 636 |
+
|
| 637 |
+
<article class="section-cell">
|
| 638 |
+
<div class="cell-mode">enable-thinking</div>
|
| 639 |
+
<pre><|im_start|>user
|
| 640 |
+
Where is the capital of China?<|im_end|>
|
| 641 |
+
<|im_start|>assistant
|
| 642 |
+
</pre>
|
| 643 |
+
</article>
|
| 644 |
+
|
| 645 |
+
<article class="section-cell">
|
| 646 |
+
<div class="cell-mode">disable-thinking</div>
|
| 647 |
+
<pre><|im_start|>user
|
| 648 |
+
Where is the capital of China?<|im_end|>
|
| 649 |
+
<|im_start|>assistant
|
| 650 |
+
<think>
|
| 651 |
+
|
| 652 |
+
</think>
|
| 653 |
+
|
| 654 |
+
</pre>
|
| 655 |
+
</article>
|
| 656 |
+
</div>
|
| 657 |
+
</section>
|
| 658 |
+
|
| 659 |
+
<section class="section-row">
|
| 660 |
+
<h3 class="section-row-title">MODEL_OUTPUT</h3>
|
| 661 |
+
<div class="section-cells">
|
| 662 |
+
|
| 663 |
+
<article class="section-cell">
|
| 664 |
+
<div class="cell-mode">enable-thinking</div>
|
| 665 |
+
<pre><think>
|
| 666 |
+
Okay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.
|
| 667 |
+
</think>
|
| 668 |
+
|
| 669 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|></pre>
|
| 670 |
+
</article>
|
| 671 |
+
|
| 672 |
+
<article class="section-cell">
|
| 673 |
+
<div class="cell-mode">disable-thinking</div>
|
| 674 |
+
<pre>The capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|></pre>
|
| 675 |
+
</article>
|
| 676 |
+
</div>
|
| 677 |
+
</section>
|
| 678 |
+
|
| 679 |
+
<section class="section-row">
|
| 680 |
+
<h3 class="section-row-title">FULL_SEQUENCE</h3>
|
| 681 |
+
<div class="section-cells">
|
| 682 |
+
|
| 683 |
+
<article class="section-cell">
|
| 684 |
+
<div class="cell-mode">enable-thinking</div>
|
| 685 |
+
<pre><|im_start|>user
|
| 686 |
+
Where is the capital of China?<|im_end|>
|
| 687 |
+
<|im_start|>assistant
|
| 688 |
+
<think>
|
| 689 |
+
Okay, the user is asking for the capital of China. I need to make sure I provide the correct answer. First, I recall that the capital of China is Beijing. But wait, I should double-check to avoid any mistakes. Let me think... Yes, Beijing is the capital city, and it's also the political, cultural, and historical center of the country. I should mention that it's the seat of the Chinese government and the location of important institutions like the National People's Congress and the President's office. Also, maybe add a bit about its significance in terms of history and modern development. But keep it concise. The user might be a student or someone with basic knowledge, so the answer should be straightforward. No need to complicate it. Just state Beijing as the capital and maybe a brief explanation. Make sure there's no confusion with other cities like Shanghai or Shenzhen, which are major cities but not the capital. Alright, that should cover it.
|
| 690 |
+
</think>
|
| 691 |
+
|
| 692 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country and serves as the seat of the Chinese government. Beijing is home to important institutions such as the National People's Congress, the President's Office, and the Great Wall of China, among other landmarks. It has been the capital of China for over 800 years and remains a symbol of the nation's heritage and modern development.<|im_end|></pre>
|
| 693 |
+
</article>
|
| 694 |
+
|
| 695 |
+
<article class="section-cell">
|
| 696 |
+
<div class="cell-mode">disable-thinking</div>
|
| 697 |
+
<pre><|im_start|>user
|
| 698 |
+
Where is the capital of China?<|im_end|>
|
| 699 |
+
<|im_start|>assistant
|
| 700 |
+
<think>
|
| 701 |
+
|
| 702 |
+
</think>
|
| 703 |
+
|
| 704 |
+
The capital of China is Beijing. It is the political, cultural, and historical center of the country.<|im_end|></pre>
|
| 705 |
+
</article>
|
| 706 |
+
</div>
|
| 707 |
+
</section>
|
| 708 |
+
</section>
|
| 709 |
+
|
| 710 |
+
<section class="model">
|
| 711 |
+
<h2>Qwen/Qwen3-4B-Instruct-2507</h2>
|
| 712 |
+
<div class="mode-summary-grid">
|
| 713 |
+
|
| 714 |
+
<article class="mode">
|
| 715 |
+
<div class="mode-header">
|
| 716 |
+
<h3>enable-thinking</h3>
|
| 717 |
+
<span class="status">exit 0</span>
|
| 718 |
+
</div>
|
| 719 |
+
<a href="Qwen__Qwen3-4B-Instruct-2507/enable-thinking/inference.json">Raw output</a>
|
| 720 |
+
|
| 721 |
+
<details>
|
| 722 |
+
<summary>Raw log</summary>
|
| 723 |
+
<pre>
|
| 724 |
+
========== MODEL START ==========
|
| 725 |
+
Qwen/Qwen3-4B-Instruct-2507
|
| 726 |
+
========== MODEL END ==========
|
| 727 |
+
|
| 728 |
+
========== INPUT START ==========
|
| 729 |
+
<|im_start|>user
|
| 730 |
+
Where is the capital of China?<|im_end|>
|
| 731 |
+
<|im_start|>assistant
|
| 732 |
+
|
| 733 |
+
========== INPUT END ==========
|
| 734 |
+
|
| 735 |
+
========== MODEL_OUTPUT START ==========
|
| 736 |
+
The capital of China is Beijing.<|im_end|>
|
| 737 |
+
========== MODEL_OUTPUT END ==========
|
| 738 |
+
|
| 739 |
+
========== FULL_SEQUENCE START ==========
|
| 740 |
+
<|im_start|>user
|
| 741 |
+
Where is the capital of China?<|im_end|>
|
| 742 |
+
<|im_start|>assistant
|
| 743 |
+
The capital of China is Beijing.<|im_end|>
|
| 744 |
+
========== FULL_SEQUENCE END ==========
|
| 745 |
+
</pre>
|
| 746 |
+
</details>
|
| 747 |
+
</article>
|
| 748 |
+
|
| 749 |
+
<article class="mode">
|
| 750 |
+
<div class="mode-header">
|
| 751 |
+
<h3>disable-thinking</h3>
|
| 752 |
+
<span class="status">exit 0</span>
|
| 753 |
+
</div>
|
| 754 |
+
<a href="Qwen__Qwen3-4B-Instruct-2507/disable-thinking/inference.json">Raw output</a>
|
| 755 |
+
|
| 756 |
+
<details>
|
| 757 |
+
<summary>Raw log</summary>
|
| 758 |
+
<pre>
|
| 759 |
+
========== MODEL START ==========
|
| 760 |
+
Qwen/Qwen3-4B-Instruct-2507
|
| 761 |
+
========== MODEL END ==========
|
| 762 |
+
|
| 763 |
+
========== INPUT START ==========
|
| 764 |
+
<|im_start|>user
|
| 765 |
+
Where is the capital of China?<|im_end|>
|
| 766 |
+
<|im_start|>assistant
|
| 767 |
+
|
| 768 |
+
========== INPUT END ==========
|
| 769 |
+
|
| 770 |
+
========== MODEL_OUTPUT START ==========
|
| 771 |
+
The capital of China is Beijing.<|im_end|>
|
| 772 |
+
========== MODEL_OUTPUT END ==========
|
| 773 |
+
|
| 774 |
+
========== FULL_SEQUENCE START ==========
|
| 775 |
+
<|im_start|>user
|
| 776 |
+
Where is the capital of China?<|im_end|>
|
| 777 |
+
<|im_start|>assistant
|
| 778 |
+
The capital of China is Beijing.<|im_end|>
|
| 779 |
+
========== FULL_SEQUENCE END ==========
|
| 780 |
+
</pre>
|
| 781 |
+
</details>
|
| 782 |
+
</article>
|
| 783 |
+
</div>
|
| 784 |
+
|
| 785 |
+
<section class="section-row">
|
| 786 |
+
<h3 class="section-row-title">INPUT</h3>
|
| 787 |
+
<div class="section-cells">
|
| 788 |
+
|
| 789 |
+
<article class="section-cell">
|
| 790 |
+
<div class="cell-mode">enable-thinking</div>
|
| 791 |
+
<pre><|im_start|>user
|
| 792 |
+
Where is the capital of China?<|im_end|>
|
| 793 |
+
<|im_start|>assistant
|
| 794 |
+
</pre>
|
| 795 |
+
</article>
|
| 796 |
+
|
| 797 |
+
<article class="section-cell">
|
| 798 |
+
<div class="cell-mode">disable-thinking</div>
|
| 799 |
+
<pre><|im_start|>user
|
| 800 |
+
Where is the capital of China?<|im_end|>
|
| 801 |
+
<|im_start|>assistant
|
| 802 |
+
</pre>
|
| 803 |
+
</article>
|
| 804 |
+
</div>
|
| 805 |
+
</section>
|
| 806 |
+
|
| 807 |
+
<section class="section-row">
|
| 808 |
+
<h3 class="section-row-title">MODEL_OUTPUT</h3>
|
| 809 |
+
<div class="section-cells">
|
| 810 |
+
|
| 811 |
+
<article class="section-cell">
|
| 812 |
+
<div class="cell-mode">enable-thinking</div>
|
| 813 |
+
<pre>The capital of China is Beijing.<|im_end|></pre>
|
| 814 |
+
</article>
|
| 815 |
+
|
| 816 |
+
<article class="section-cell">
|
| 817 |
+
<div class="cell-mode">disable-thinking</div>
|
| 818 |
+
<pre>The capital of China is Beijing.<|im_end|></pre>
|
| 819 |
+
</article>
|
| 820 |
+
</div>
|
| 821 |
+
</section>
|
| 822 |
+
|
| 823 |
+
<section class="section-row">
|
| 824 |
+
<h3 class="section-row-title">FULL_SEQUENCE</h3>
|
| 825 |
+
<div class="section-cells">
|
| 826 |
+
|
| 827 |
+
<article class="section-cell">
|
| 828 |
+
<div class="cell-mode">enable-thinking</div>
|
| 829 |
+
<pre><|im_start|>user
|
| 830 |
+
Where is the capital of China?<|im_end|>
|
| 831 |
+
<|im_start|>assistant
|
| 832 |
+
The capital of China is Beijing.<|im_end|></pre>
|
| 833 |
+
</article>
|
| 834 |
+
|
| 835 |
+
<article class="section-cell">
|
| 836 |
+
<div class="cell-mode">disable-thinking</div>
|
| 837 |
+
<pre><|im_start|>user
|
| 838 |
+
Where is the capital of China?<|im_end|>
|
| 839 |
+
<|im_start|>assistant
|
| 840 |
+
The capital of China is Beijing.<|im_end|></pre>
|
| 841 |
+
</article>
|
| 842 |
+
</div>
|
| 843 |
+
</section>
|
| 844 |
+
</section>
|
| 845 |
+
|
| 846 |
+
<section class="model">
|
| 847 |
+
<h2>Qwen/Qwen3-4B-thinking-2507</h2>
|
| 848 |
+
<div class="mode-summary-grid">
|
| 849 |
+
|
| 850 |
+
<article class="mode">
|
| 851 |
+
<div class="mode-header">
|
| 852 |
+
<h3>enable-thinking</h3>
|
| 853 |
+
<span class="status">exit 0</span>
|
| 854 |
+
</div>
|
| 855 |
+
<a href="Qwen__Qwen3-4B-thinking-2507/enable-thinking/inference.json">Raw output</a>
|
| 856 |
+
|
| 857 |
+
<details>
|
| 858 |
+
<summary>Raw log</summary>
|
| 859 |
+
<pre>
|
| 860 |
+
========== MODEL START ==========
|
| 861 |
+
Qwen/Qwen3-4B-thinking-2507
|
| 862 |
+
========== MODEL END ==========
|
| 863 |
+
|
| 864 |
+
========== INPUT START ==========
|
| 865 |
+
<|im_start|>user
|
| 866 |
+
Where is the capital of China?<|im_end|>
|
| 867 |
+
<|im_start|>assistant
|
| 868 |
+
<think>
|
| 869 |
+
|
| 870 |
+
========== INPUT END ==========
|
| 871 |
+
|
| 872 |
+
========== MODEL_OUTPUT START ==========
|
| 873 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 874 |
+
|
| 875 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 876 |
+
|
| 877 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 878 |
+
|
| 879 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 880 |
+
|
| 881 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 882 |
+
|
| 883 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 884 |
+
|
| 885 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 886 |
+
|
| 887 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 888 |
+
|
| 889 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 890 |
+
</think>
|
| 891 |
+
|
| 892 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 893 |
+
|
| 894 |
+
### Key details:
|
| 895 |
+
- **Why Beijing?**
|
| 896 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 897 |
+
|
| 898 |
+
- **Common confusion**:
|
| 899 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 900 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 901 |
+
|
| 902 |
+
- **Official recognition**:
|
| 903 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 904 |
+
|
| 905 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>
|
| 906 |
+
========== MODEL_OUTPUT END ==========
|
| 907 |
+
|
| 908 |
+
========== FULL_SEQUENCE START ==========
|
| 909 |
+
<|im_start|>user
|
| 910 |
+
Where is the capital of China?<|im_end|>
|
| 911 |
+
<|im_start|>assistant
|
| 912 |
+
<think>
|
| 913 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 914 |
+
|
| 915 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 916 |
+
|
| 917 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 918 |
+
|
| 919 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 920 |
+
|
| 921 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 922 |
+
|
| 923 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 924 |
+
|
| 925 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 926 |
+
|
| 927 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 928 |
+
|
| 929 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 930 |
+
</think>
|
| 931 |
+
|
| 932 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 933 |
+
|
| 934 |
+
### Key details:
|
| 935 |
+
- **Why Beijing?**
|
| 936 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 937 |
+
|
| 938 |
+
- **Common confusion**:
|
| 939 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 940 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 941 |
+
|
| 942 |
+
- **Official recognition**:
|
| 943 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 944 |
+
|
| 945 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>
|
| 946 |
+
========== FULL_SEQUENCE END ==========
|
| 947 |
+
</pre>
|
| 948 |
+
</details>
|
| 949 |
+
</article>
|
| 950 |
+
|
| 951 |
+
<article class="mode">
|
| 952 |
+
<div class="mode-header">
|
| 953 |
+
<h3>disable-thinking</h3>
|
| 954 |
+
<span class="status">exit 0</span>
|
| 955 |
+
</div>
|
| 956 |
+
<a href="Qwen__Qwen3-4B-thinking-2507/disable-thinking/inference.json">Raw output</a>
|
| 957 |
+
|
| 958 |
+
<details>
|
| 959 |
+
<summary>Raw log</summary>
|
| 960 |
+
<pre>
|
| 961 |
+
========== MODEL START ==========
|
| 962 |
+
Qwen/Qwen3-4B-thinking-2507
|
| 963 |
+
========== MODEL END ==========
|
| 964 |
+
|
| 965 |
+
========== INPUT START ==========
|
| 966 |
+
<|im_start|>user
|
| 967 |
+
Where is the capital of China?<|im_end|>
|
| 968 |
+
<|im_start|>assistant
|
| 969 |
+
<think>
|
| 970 |
+
|
| 971 |
+
========== INPUT END ==========
|
| 972 |
+
|
| 973 |
+
========== MODEL_OUTPUT START ==========
|
| 974 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 975 |
+
|
| 976 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 977 |
+
|
| 978 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 979 |
+
|
| 980 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 981 |
+
|
| 982 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 983 |
+
|
| 984 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 985 |
+
|
| 986 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 987 |
+
|
| 988 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 989 |
+
|
| 990 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 991 |
+
</think>
|
| 992 |
+
|
| 993 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 994 |
+
|
| 995 |
+
### Key details:
|
| 996 |
+
- **Why Beijing?**
|
| 997 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 998 |
+
|
| 999 |
+
- **Common confusion**:
|
| 1000 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 1001 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 1002 |
+
|
| 1003 |
+
- **Official recognition**:
|
| 1004 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 1005 |
+
|
| 1006 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>
|
| 1007 |
+
========== MODEL_OUTPUT END ==========
|
| 1008 |
+
|
| 1009 |
+
========== FULL_SEQUENCE START ==========
|
| 1010 |
+
<|im_start|>user
|
| 1011 |
+
Where is the capital of China?<|im_end|>
|
| 1012 |
+
<|im_start|>assistant
|
| 1013 |
+
<think>
|
| 1014 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 1015 |
+
|
| 1016 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 1017 |
+
|
| 1018 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 1019 |
+
|
| 1020 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 1021 |
+
|
| 1022 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 1023 |
+
|
| 1024 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 1025 |
+
|
| 1026 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 1027 |
+
|
| 1028 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 1029 |
+
|
| 1030 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 1031 |
+
</think>
|
| 1032 |
+
|
| 1033 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 1034 |
+
|
| 1035 |
+
### Key details:
|
| 1036 |
+
- **Why Beijing?**
|
| 1037 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 1038 |
+
|
| 1039 |
+
- **Common confusion**:
|
| 1040 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 1041 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 1042 |
+
|
| 1043 |
+
- **Official recognition**:
|
| 1044 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 1045 |
+
|
| 1046 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|>
|
| 1047 |
+
========== FULL_SEQUENCE END ==========
|
| 1048 |
+
</pre>
|
| 1049 |
+
</details>
|
| 1050 |
+
</article>
|
| 1051 |
+
</div>
|
| 1052 |
+
|
| 1053 |
+
<section class="section-row">
|
| 1054 |
+
<h3 class="section-row-title">INPUT</h3>
|
| 1055 |
+
<div class="section-cells">
|
| 1056 |
+
|
| 1057 |
+
<article class="section-cell">
|
| 1058 |
+
<div class="cell-mode">enable-thinking</div>
|
| 1059 |
+
<pre><|im_start|>user
|
| 1060 |
+
Where is the capital of China?<|im_end|>
|
| 1061 |
+
<|im_start|>assistant
|
| 1062 |
+
<think>
|
| 1063 |
+
</pre>
|
| 1064 |
+
</article>
|
| 1065 |
+
|
| 1066 |
+
<article class="section-cell">
|
| 1067 |
+
<div class="cell-mode">disable-thinking</div>
|
| 1068 |
+
<pre><|im_start|>user
|
| 1069 |
+
Where is the capital of China?<|im_end|>
|
| 1070 |
+
<|im_start|>assistant
|
| 1071 |
+
<think>
|
| 1072 |
+
</pre>
|
| 1073 |
+
</article>
|
| 1074 |
+
</div>
|
| 1075 |
+
</section>
|
| 1076 |
+
|
| 1077 |
+
<section class="section-row">
|
| 1078 |
+
<h3 class="section-row-title">MODEL_OUTPUT</h3>
|
| 1079 |
+
<div class="section-cells">
|
| 1080 |
+
|
| 1081 |
+
<article class="section-cell">
|
| 1082 |
+
<div class="cell-mode">enable-thinking</div>
|
| 1083 |
+
<pre>Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 1084 |
+
|
| 1085 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 1086 |
+
|
| 1087 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 1088 |
+
|
| 1089 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 1090 |
+
|
| 1091 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 1092 |
+
|
| 1093 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 1094 |
+
|
| 1095 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 1096 |
+
|
| 1097 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 1098 |
+
|
| 1099 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 1100 |
+
</think>
|
| 1101 |
+
|
| 1102 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 1103 |
+
|
| 1104 |
+
### Key details:
|
| 1105 |
+
- **Why Beijing?**
|
| 1106 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 1107 |
+
|
| 1108 |
+
- **Common confusion**:
|
| 1109 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 1110 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 1111 |
+
|
| 1112 |
+
- **Official recognition**:
|
| 1113 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 1114 |
+
|
| 1115 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|></pre>
|
| 1116 |
+
</article>
|
| 1117 |
+
|
| 1118 |
+
<article class="section-cell">
|
| 1119 |
+
<div class="cell-mode">disable-thinking</div>
|
| 1120 |
+
<pre>Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 1121 |
+
|
| 1122 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 1123 |
+
|
| 1124 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 1125 |
+
|
| 1126 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 1127 |
+
|
| 1128 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 1129 |
+
|
| 1130 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 1131 |
+
|
| 1132 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 1133 |
+
|
| 1134 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 1135 |
+
|
| 1136 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 1137 |
+
</think>
|
| 1138 |
+
|
| 1139 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 1140 |
+
|
| 1141 |
+
### Key details:
|
| 1142 |
+
- **Why Beijing?**
|
| 1143 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 1144 |
+
|
| 1145 |
+
- **Common confusion**:
|
| 1146 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 1147 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 1148 |
+
|
| 1149 |
+
- **Official recognition**:
|
| 1150 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 1151 |
+
|
| 1152 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|></pre>
|
| 1153 |
+
</article>
|
| 1154 |
+
</div>
|
| 1155 |
+
</section>
|
| 1156 |
+
|
| 1157 |
+
<section class="section-row">
|
| 1158 |
+
<h3 class="section-row-title">FULL_SEQUENCE</h3>
|
| 1159 |
+
<div class="section-cells">
|
| 1160 |
+
|
| 1161 |
+
<article class="section-cell">
|
| 1162 |
+
<div class="cell-mode">enable-thinking</div>
|
| 1163 |
+
<pre><|im_start|>user
|
| 1164 |
+
Where is the capital of China?<|im_end|>
|
| 1165 |
+
<|im_start|>assistant
|
| 1166 |
+
<think>
|
| 1167 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 1168 |
+
|
| 1169 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 1170 |
+
|
| 1171 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 1172 |
+
|
| 1173 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 1174 |
+
|
| 1175 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 1176 |
+
|
| 1177 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 1178 |
+
|
| 1179 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 1180 |
+
|
| 1181 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 1182 |
+
|
| 1183 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 1184 |
+
</think>
|
| 1185 |
+
|
| 1186 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 1187 |
+
|
| 1188 |
+
### Key details:
|
| 1189 |
+
- **Why Beijing?**
|
| 1190 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 1191 |
+
|
| 1192 |
+
- **Common confusion**:
|
| 1193 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 1194 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 1195 |
+
|
| 1196 |
+
- **Official recognition**:
|
| 1197 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 1198 |
+
|
| 1199 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|></pre>
|
| 1200 |
+
</article>
|
| 1201 |
+
|
| 1202 |
+
<article class="section-cell">
|
| 1203 |
+
<div class="cell-mode">disable-thinking</div>
|
| 1204 |
+
<pre><|im_start|>user
|
| 1205 |
+
Where is the capital of China?<|im_end|>
|
| 1206 |
+
<|im_start|>assistant
|
| 1207 |
+
<think>
|
| 1208 |
+
Okay, the user is asking where the capital of China is. Hmm, this seems like a straightforward geography question, but let me think carefully.
|
| 1209 |
+
|
| 1210 |
+
First, I recall that Beijing is widely recognized as China's capital. But wait—should I double-check if there's any nuance here? Like, sometimes people confuse it with other cities or historical capitals.
|
| 1211 |
+
|
| 1212 |
+
I remember that ancient Chinese dynasties had different capitals (like Xi'an for the Tang Dynasty), but the current administrative and political center is definitely Beijing. The People's Republic of China's government is based there, and all major institutions are located in Beijing.
|
| 1213 |
+
|
| 1214 |
+
The user might be a student doing homework, a traveler planning a trip, or just someone curious. Since the question is very basic, they probably need a clear, concise answer without extra complexity. But I should mention why it's Beijing to prevent follow-up confusion—like how it became the capital in 1949 after the founding of the PRC.
|
| 1215 |
+
|
| 1216 |
+
Oh! Important point: Some might think Shanghai is the capital because it's a major economic hub, but no—Beijing is the political capital. I should clarify that distinction briefly to avoid misunderstandings.
|
| 1217 |
+
|
| 1218 |
+
Also, the user didn't specify historical context, so I'll stick to the present-day capital. No need to overcomplicate it unless they ask for history.
|
| 1219 |
+
|
| 1220 |
+
Final answer: Beijing. I'll add a one-sentence explanation about its role to be helpful but keep it simple. No jargon.
|
| 1221 |
+
|
| 1222 |
+
... Wait, is there any chance they meant "capital" in a different sense? Like, the capital of a province? But the question says "China," so it's the country's capital. Safe to assume that.
|
| 1223 |
+
|
| 1224 |
+
Alright, response ready: Clear, factual, no fluff.
|
| 1225 |
+
</think>
|
| 1226 |
+
|
| 1227 |
+
The capital of the **People's Republic of China** (the current sovereign state) is **Beijing**.
|
| 1228 |
+
|
| 1229 |
+
### Key details:
|
| 1230 |
+
- **Why Beijing?**
|
| 1231 |
+
Beijing has been the political center of China since the founding of the People's Republic of China in 1949. It houses the **National People's Congress** (China's highest legislative body), the **President's Office**, the **State Council** (executive branch), and other key government institutions.
|
| 1232 |
+
|
| 1233 |
+
- **Common confusion**:
|
| 1234 |
+
- **Shanghai** is China's largest *economic* hub and a major port city, but it is **not** the capital.
|
| 1235 |
+
- Historically, other cities like **Xi'an** (Tang Dynasty) or **Nanjing** (Ming/Qing Dynasties) served as capitals, but **Beijing** has been the official capital since 1912 (as the capital of the Republic of China) and solidified its role after 1949.
|
| 1236 |
+
|
| 1237 |
+
- **Official recognition**:
|
| 1238 |
+
The Chinese government, international organizations (like the UN), and global media consistently identify **Beijing** as China's capital.
|
| 1239 |
+
|
| 1240 |
+
In short: **Beijing** is the undisputed capital of modern China. 🇨🇳<|im_end|></pre>
|
| 1241 |
+
</article>
|
| 1242 |
+
</div>
|
| 1243 |
+
</section>
|
| 1244 |
+
</section>
|
| 1245 |
+
|
| 1246 |
+
<section class="model">
|
| 1247 |
+
<h2>Qwen/Qwen3.5-2B</h2>
|
| 1248 |
+
<div class="mode-summary-grid">
|
| 1249 |
+
|
| 1250 |
+
<article class="mode">
|
| 1251 |
+
<div class="mode-header">
|
| 1252 |
+
<h3>enable-thinking</h3>
|
| 1253 |
+
<span class="status">exit 0</span>
|
| 1254 |
+
</div>
|
| 1255 |
+
<a href="Qwen__Qwen3.5-2B/enable-thinking/inference.json">Raw output</a>
|
| 1256 |
+
|
| 1257 |
+
<details>
|
| 1258 |
+
<summary>Raw log</summary>
|
| 1259 |
+
<pre>
|
| 1260 |
+
========== MODEL START ==========
|
| 1261 |
+
Qwen/Qwen3.5-2B
|
| 1262 |
+
========== MODEL END ==========
|
| 1263 |
+
|
| 1264 |
+
========== INPUT START ==========
|
| 1265 |
+
<|im_start|>user
|
| 1266 |
+
Where is the capital of China?<|im_end|>
|
| 1267 |
+
<|im_start|>assistant
|
| 1268 |
+
<think>
|
| 1269 |
+
|
| 1270 |
+
========== INPUT END ==========
|
| 1271 |
+
|
| 1272 |
+
========== MODEL_OUTPUT START ==========
|
| 1273 |
+
Thinking Process:
|
| 1274 |
+
|
| 1275 |
+
1. **Identify the core question:** The user is asking "Where is the capital of China?"
|
| 1276 |
+
2. **Retrieve knowledge:** Access knowledge about the capital of China.
|
| 1277 |
+
* Country: People's Republic of China (PRC).
|
| 1278 |
+
* Capital: Beijing.
|
| 1279 |
+
3. **Verify accuracy:** Is Beijing the capital? Yes.
|
| 1280 |
+
4. **Formulate the answer:** State the answer clearly and concisely.
|
| 1281 |
+
5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.
|
| 1282 |
+
6. **Final Output:** "The capital of China is Beijing." or "Beijing is the capital of China."
|
| 1283 |
+
|
| 1284 |
+
Let's keep it direct and helpful.
|
| 1285 |
+
|
| 1286 |
+
*Draft:* The capital of China is Beijing.
|
| 1287 |
+
*Refinement:* The capital of the People's Republic of China is Beijing.
|
| 1288 |
+
|
| 1289 |
+
*Final Decision:* "The capital of China is Beijing." (Simple and direct).
|
| 1290 |
+
</think>
|
| 1291 |
+
|
| 1292 |
+
The capital of China is **Beijing**.<|im_end|>
|
| 1293 |
+
<|endoftext|>
|
| 1294 |
+
========== MODEL_OUTPUT END ==========
|
| 1295 |
+
|
| 1296 |
+
========== FULL_SEQUENCE START ==========
|
| 1297 |
+
<|im_start|>user
|
| 1298 |
+
Where is the capital of China?<|im_end|>
|
| 1299 |
+
<|im_start|>assistant
|
| 1300 |
+
<think>
|
| 1301 |
+
Thinking Process:
|
| 1302 |
+
|
| 1303 |
+
1. **Identify the core question:** The user is asking "Where is the capital of China?"
|
| 1304 |
+
2. **Retrieve knowledge:** Access knowledge about the capital of China.
|
| 1305 |
+
* Country: People's Republic of China (PRC).
|
| 1306 |
+
* Capital: Beijing.
|
| 1307 |
+
3. **Verify accuracy:** Is Beijing the capital? Yes.
|
| 1308 |
+
4. **Formulate the answer:** State the answer clearly and concisely.
|
| 1309 |
+
5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.
|
| 1310 |
+
6. **Final Output:** "The capital of China is Beijing." or "Beijing is the capital of China."
|
| 1311 |
+
|
| 1312 |
+
Let's keep it direct and helpful.
|
| 1313 |
+
|
| 1314 |
+
*Draft:* The capital of China is Beijing.
|
| 1315 |
+
*Refinement:* The capital of the People's Republic of China is Beijing.
|
| 1316 |
+
|
| 1317 |
+
*Final Decision:* "The capital of China is Beijing." (Simple and direct).
|
| 1318 |
+
</think>
|
| 1319 |
+
|
| 1320 |
+
The capital of China is **Beijing**.<|im_end|>
|
| 1321 |
+
<|endoftext|>
|
| 1322 |
+
========== FULL_SEQUENCE END ==========
|
| 1323 |
+
</pre>
|
| 1324 |
+
</details>
|
| 1325 |
+
</article>
|
| 1326 |
+
|
| 1327 |
+
<article class="mode">
|
| 1328 |
+
<div class="mode-header">
|
| 1329 |
+
<h3>disable-thinking</h3>
|
| 1330 |
+
<span class="status">exit 0</span>
|
| 1331 |
+
</div>
|
| 1332 |
+
<a href="Qwen__Qwen3.5-2B/disable-thinking/inference.json">Raw output</a>
|
| 1333 |
+
|
| 1334 |
+
<details>
|
| 1335 |
+
<summary>Raw log</summary>
|
| 1336 |
+
<pre>
|
| 1337 |
+
========== MODEL START ==========
|
| 1338 |
+
Qwen/Qwen3.5-2B
|
| 1339 |
+
========== MODEL END ==========
|
| 1340 |
+
|
| 1341 |
+
========== INPUT START ==========
|
| 1342 |
+
<|im_start|>user
|
| 1343 |
+
Where is the capital of China?<|im_end|>
|
| 1344 |
+
<|im_start|>assistant
|
| 1345 |
+
<think>
|
| 1346 |
+
|
| 1347 |
+
</think>
|
| 1348 |
+
|
| 1349 |
+
|
| 1350 |
+
========== INPUT END ==========
|
| 1351 |
+
|
| 1352 |
+
========== MODEL_OUTPUT START ==========
|
| 1353 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>
|
| 1354 |
+
<|endoftext|>
|
| 1355 |
+
========== MODEL_OUTPUT END ==========
|
| 1356 |
+
|
| 1357 |
+
========== FULL_SEQUENCE START ==========
|
| 1358 |
+
<|im_start|>user
|
| 1359 |
+
Where is the capital of China?<|im_end|>
|
| 1360 |
+
<|im_start|>assistant
|
| 1361 |
+
<think>
|
| 1362 |
+
|
| 1363 |
+
</think>
|
| 1364 |
+
|
| 1365 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>
|
| 1366 |
+
<|endoftext|>
|
| 1367 |
+
========== FULL_SEQUENCE END ==========
|
| 1368 |
+
</pre>
|
| 1369 |
+
</details>
|
| 1370 |
+
</article>
|
| 1371 |
+
</div>
|
| 1372 |
+
|
| 1373 |
+
<section class="section-row">
|
| 1374 |
+
<h3 class="section-row-title">INPUT</h3>
|
| 1375 |
+
<div class="section-cells">
|
| 1376 |
+
|
| 1377 |
+
<article class="section-cell">
|
| 1378 |
+
<div class="cell-mode">enable-thinking</div>
|
| 1379 |
+
<pre><|im_start|>user
|
| 1380 |
+
Where is the capital of China?<|im_end|>
|
| 1381 |
+
<|im_start|>assistant
|
| 1382 |
+
<think>
|
| 1383 |
+
</pre>
|
| 1384 |
+
</article>
|
| 1385 |
+
|
| 1386 |
+
<article class="section-cell">
|
| 1387 |
+
<div class="cell-mode">disable-thinking</div>
|
| 1388 |
+
<pre><|im_start|>user
|
| 1389 |
+
Where is the capital of China?<|im_end|>
|
| 1390 |
+
<|im_start|>assistant
|
| 1391 |
+
<think>
|
| 1392 |
+
|
| 1393 |
+
</think>
|
| 1394 |
+
|
| 1395 |
+
</pre>
|
| 1396 |
+
</article>
|
| 1397 |
+
</div>
|
| 1398 |
+
</section>
|
| 1399 |
+
|
| 1400 |
+
<section class="section-row">
|
| 1401 |
+
<h3 class="section-row-title">MODEL_OUTPUT</h3>
|
| 1402 |
+
<div class="section-cells">
|
| 1403 |
+
|
| 1404 |
+
<article class="section-cell">
|
| 1405 |
+
<div class="cell-mode">enable-thinking</div>
|
| 1406 |
+
<pre>Thinking Process:
|
| 1407 |
+
|
| 1408 |
+
1. **Identify the core question:** The user is asking "Where is the capital of China?"
|
| 1409 |
+
2. **Retrieve knowledge:** Access knowledge about the capital of China.
|
| 1410 |
+
* Country: People's Republic of China (PRC).
|
| 1411 |
+
* Capital: Beijing.
|
| 1412 |
+
3. **Verify accuracy:** Is Beijing the capital? Yes.
|
| 1413 |
+
4. **Formulate the answer:** State the answer clearly and concisely.
|
| 1414 |
+
5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.
|
| 1415 |
+
6. **Final Output:** "The capital of China is Beijing." or "Beijing is the capital of China."
|
| 1416 |
+
|
| 1417 |
+
Let's keep it direct and helpful.
|
| 1418 |
+
|
| 1419 |
+
*Draft:* The capital of China is Beijing.
|
| 1420 |
+
*Refinement:* The capital of the People's Republic of China is Beijing.
|
| 1421 |
+
|
| 1422 |
+
*Final Decision:* "The capital of China is Beijing." (Simple and direct).
|
| 1423 |
+
</think>
|
| 1424 |
+
|
| 1425 |
+
The capital of China is **Beijing**.<|im_end|>
|
| 1426 |
+
<|endoftext|></pre>
|
| 1427 |
+
</article>
|
| 1428 |
+
|
| 1429 |
+
<article class="section-cell">
|
| 1430 |
+
<div class="cell-mode">disable-thinking</div>
|
| 1431 |
+
<pre>The capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>
|
| 1432 |
+
<|endoftext|></pre>
|
| 1433 |
+
</article>
|
| 1434 |
+
</div>
|
| 1435 |
+
</section>
|
| 1436 |
+
|
| 1437 |
+
<section class="section-row">
|
| 1438 |
+
<h3 class="section-row-title">FULL_SEQUENCE</h3>
|
| 1439 |
+
<div class="section-cells">
|
| 1440 |
+
|
| 1441 |
+
<article class="section-cell">
|
| 1442 |
+
<div class="cell-mode">enable-thinking</div>
|
| 1443 |
+
<pre><|im_start|>user
|
| 1444 |
+
Where is the capital of China?<|im_end|>
|
| 1445 |
+
<|im_start|>assistant
|
| 1446 |
+
<think>
|
| 1447 |
+
Thinking Process:
|
| 1448 |
+
|
| 1449 |
+
1. **Identify the core question:** The user is asking "Where is the capital of China?"
|
| 1450 |
+
2. **Retrieve knowledge:** Access knowledge about the capital of China.
|
| 1451 |
+
* Country: People's Republic of China (PRC).
|
| 1452 |
+
* Capital: Beijing.
|
| 1453 |
+
3. **Verify accuracy:** Is Beijing the capital? Yes.
|
| 1454 |
+
4. **Formulate the answer:** State the answer clearly and concisely.
|
| 1455 |
+
5. **Review for potential nuances:** Sometimes people might ask about the capital of a specific region or historical context, but the general question implies the current capital. Beijing is the current capital.
|
| 1456 |
+
6. **Final Output:** "The capital of China is Beijing." or "Beijing is the capital of China."
|
| 1457 |
+
|
| 1458 |
+
Let's keep it direct and helpful.
|
| 1459 |
+
|
| 1460 |
+
*Draft:* The capital of China is Beijing.
|
| 1461 |
+
*Refinement:* The capital of the People's Republic of China is Beijing.
|
| 1462 |
+
|
| 1463 |
+
*Final Decision:* "The capital of China is Beijing." (Simple and direct).
|
| 1464 |
+
</think>
|
| 1465 |
+
|
| 1466 |
+
The capital of China is **Beijing**.<|im_end|>
|
| 1467 |
+
<|endoftext|></pre>
|
| 1468 |
+
</article>
|
| 1469 |
+
|
| 1470 |
+
<article class="section-cell">
|
| 1471 |
+
<div class="cell-mode">disable-thinking</div>
|
| 1472 |
+
<pre><|im_start|>user
|
| 1473 |
+
Where is the capital of China?<|im_end|>
|
| 1474 |
+
<|im_start|>assistant
|
| 1475 |
+
<think>
|
| 1476 |
+
|
| 1477 |
+
</think>
|
| 1478 |
+
|
| 1479 |
+
The capital of China is **Beijing**. It is the political, cultural, and historical center of the country, serving as the seat of the State Council and the capital of the People's Republic of China.<|im_end|>
|
| 1480 |
+
<|endoftext|></pre>
|
| 1481 |
+
</article>
|
| 1482 |
+
</div>
|
| 1483 |
+
</section>
|
| 1484 |
+
</section>
|
| 1485 |
+
|
| 1486 |
+
<section class="model">
|
| 1487 |
+
<h2>Qwen/Qwen3.6-27B</h2>
|
| 1488 |
+
<div class="mode-summary-grid">
|
| 1489 |
+
|
| 1490 |
+
<article class="mode">
|
| 1491 |
+
<div class="mode-header">
|
| 1492 |
+
<h3>enable-thinking</h3>
|
| 1493 |
+
<span class="status">exit 0</span>
|
| 1494 |
+
</div>
|
| 1495 |
+
<a href="Qwen__Qwen3.6-27B/enable-thinking/inference.json">Raw output</a>
|
| 1496 |
+
|
| 1497 |
+
<details>
|
| 1498 |
+
<summary>Raw log</summary>
|
| 1499 |
+
<pre>
|
| 1500 |
+
========== MODEL START ==========
|
| 1501 |
+
Qwen/Qwen3.6-27B
|
| 1502 |
+
========== MODEL END ==========
|
| 1503 |
+
|
| 1504 |
+
========== INPUT START ==========
|
| 1505 |
+
<|im_start|>user
|
| 1506 |
+
Where is the capital of China?<|im_end|>
|
| 1507 |
+
<|im_start|>assistant
|
| 1508 |
+
<think>
|
| 1509 |
+
|
| 1510 |
+
========== INPUT END ==========
|
| 1511 |
+
|
| 1512 |
+
========== MODEL_OUTPUT START ==========
|
| 1513 |
+
Thinking Process:
|
| 1514 |
+
|
| 1515 |
+
1. **Identify the core question**: The user is asking for the capital of China.
|
| 1516 |
+
2. **Retrieve knowledge**: Access knowledge about countries and their capitals.
|
| 1517 |
+
* Country: China (People's Republic of China)
|
| 1518 |
+
* Capital: Beijing
|
| 1519 |
+
3. **Formulate the answer**: State clearly that the capital of China is Beijing.
|
| 1520 |
+
4. **Review and refine**: Keep it concise and direct. "The capital of China is Beijing."
|
| 1521 |
+
5. **Final Output Generation**: Output the formulated answer.
|
| 1522 |
+
|
| 1523 |
+
*Self-Correction/Verification during thought process*:
|
| 1524 |
+
- Is there any ambiguity? No.
|
| 1525 |
+
- Is it a trick question? No.
|
| 1526 |
+
- Is the information up-to-date? Yes, Beijing has been the capital for a long time.
|
| 1527 |
+
|
| 1528 |
+
*Drafting response*: The capital of China is Beijing.
|
| 1529 |
+
*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).
|
| 1530 |
+
</think>
|
| 1531 |
+
|
| 1532 |
+
The capital of China is Beijing.<|im_end|>
|
| 1533 |
+
========== MODEL_OUTPUT END ==========
|
| 1534 |
+
|
| 1535 |
+
========== FULL_SEQUENCE START ==========
|
| 1536 |
+
<|im_start|>user
|
| 1537 |
+
Where is the capital of China?<|im_end|>
|
| 1538 |
+
<|im_start|>assistant
|
| 1539 |
+
<think>
|
| 1540 |
+
Thinking Process:
|
| 1541 |
+
|
| 1542 |
+
1. **Identify the core question**: The user is asking for the capital of China.
|
| 1543 |
+
2. **Retrieve knowledge**: Access knowledge about countries and their capitals.
|
| 1544 |
+
* Country: China (People's Republic of China)
|
| 1545 |
+
* Capital: Beijing
|
| 1546 |
+
3. **Formulate the answer**: State clearly that the capital of China is Beijing.
|
| 1547 |
+
4. **Review and refine**: Keep it concise and direct. "The capital of China is Beijing."
|
| 1548 |
+
5. **Final Output Generation**: Output the formulated answer.
|
| 1549 |
+
|
| 1550 |
+
*Self-Correction/Verification during thought process*:
|
| 1551 |
+
- Is there any ambiguity? No.
|
| 1552 |
+
- Is it a trick question? No.
|
| 1553 |
+
- Is the information up-to-date? Yes, Beijing has been the capital for a long time.
|
| 1554 |
+
|
| 1555 |
+
*Drafting response*: The capital of China is Beijing.
|
| 1556 |
+
*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).
|
| 1557 |
+
</think>
|
| 1558 |
+
|
| 1559 |
+
The capital of China is Beijing.<|im_end|>
|
| 1560 |
+
========== FULL_SEQUENCE END ==========
|
| 1561 |
+
</pre>
|
| 1562 |
+
</details>
|
| 1563 |
+
</article>
|
| 1564 |
+
|
| 1565 |
+
<article class="mode">
|
| 1566 |
+
<div class="mode-header">
|
| 1567 |
+
<h3>disable-thinking</h3>
|
| 1568 |
+
<span class="status">exit 0</span>
|
| 1569 |
+
</div>
|
| 1570 |
+
<a href="Qwen__Qwen3.6-27B/disable-thinking/inference.json">Raw output</a>
|
| 1571 |
+
|
| 1572 |
+
<details>
|
| 1573 |
+
<summary>Raw log</summary>
|
| 1574 |
+
<pre>
|
| 1575 |
+
========== MODEL START ==========
|
| 1576 |
+
Qwen/Qwen3.6-27B
|
| 1577 |
+
========== MODEL END ==========
|
| 1578 |
+
|
| 1579 |
+
========== INPUT START ==========
|
| 1580 |
+
<|im_start|>user
|
| 1581 |
+
Where is the capital of China?<|im_end|>
|
| 1582 |
+
<|im_start|>assistant
|
| 1583 |
+
<think>
|
| 1584 |
+
|
| 1585 |
+
</think>
|
| 1586 |
+
|
| 1587 |
+
|
| 1588 |
+
========== INPUT END ==========
|
| 1589 |
+
|
| 1590 |
+
========== MODEL_OUTPUT START ==========
|
| 1591 |
+
The capital of China is **Beijing**.
|
| 1592 |
+
|
| 1593 |
+
Beijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|>
|
| 1594 |
+
========== MODEL_OUTPUT END ==========
|
| 1595 |
+
|
| 1596 |
+
========== FULL_SEQUENCE START ==========
|
| 1597 |
+
<|im_start|>user
|
| 1598 |
+
Where is the capital of China?<|im_end|>
|
| 1599 |
+
<|im_start|>assistant
|
| 1600 |
+
<think>
|
| 1601 |
+
|
| 1602 |
+
</think>
|
| 1603 |
+
|
| 1604 |
+
The capital of China is **Beijing**.
|
| 1605 |
+
|
| 1606 |
+
Beijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|>
|
| 1607 |
+
========== FULL_SEQUENCE END ==========
|
| 1608 |
+
</pre>
|
| 1609 |
+
</details>
|
| 1610 |
+
</article>
|
| 1611 |
+
</div>
|
| 1612 |
+
|
| 1613 |
+
<section class="section-row">
|
| 1614 |
+
<h3 class="section-row-title">INPUT</h3>
|
| 1615 |
+
<div class="section-cells">
|
| 1616 |
+
|
| 1617 |
+
<article class="section-cell">
|
| 1618 |
+
<div class="cell-mode">enable-thinking</div>
|
| 1619 |
+
<pre><|im_start|>user
|
| 1620 |
+
Where is the capital of China?<|im_end|>
|
| 1621 |
+
<|im_start|>assistant
|
| 1622 |
+
<think>
|
| 1623 |
+
</pre>
|
| 1624 |
+
</article>
|
| 1625 |
+
|
| 1626 |
+
<article class="section-cell">
|
| 1627 |
+
<div class="cell-mode">disable-thinking</div>
|
| 1628 |
+
<pre><|im_start|>user
|
| 1629 |
+
Where is the capital of China?<|im_end|>
|
| 1630 |
+
<|im_start|>assistant
|
| 1631 |
+
<think>
|
| 1632 |
+
|
| 1633 |
+
</think>
|
| 1634 |
+
|
| 1635 |
+
</pre>
|
| 1636 |
+
</article>
|
| 1637 |
+
</div>
|
| 1638 |
+
</section>
|
| 1639 |
+
|
| 1640 |
+
<section class="section-row">
|
| 1641 |
+
<h3 class="section-row-title">MODEL_OUTPUT</h3>
|
| 1642 |
+
<div class="section-cells">
|
| 1643 |
+
|
| 1644 |
+
<article class="section-cell">
|
| 1645 |
+
<div class="cell-mode">enable-thinking</div>
|
| 1646 |
+
<pre>Thinking Process:
|
| 1647 |
+
|
| 1648 |
+
1. **Identify the core question**: The user is asking for the capital of China.
|
| 1649 |
+
2. **Retrieve knowledge**: Access knowledge about countries and their capitals.
|
| 1650 |
+
* Country: China (People's Republic of China)
|
| 1651 |
+
* Capital: Beijing
|
| 1652 |
+
3. **Formulate the answer**: State clearly that the capital of China is Beijing.
|
| 1653 |
+
4. **Review and refine**: Keep it concise and direct. "The capital of China is Beijing."
|
| 1654 |
+
5. **Final Output Generation**: Output the formulated answer.
|
| 1655 |
+
|
| 1656 |
+
*Self-Correction/Verification during thought process*:
|
| 1657 |
+
- Is there any ambiguity? No.
|
| 1658 |
+
- Is it a trick question? No.
|
| 1659 |
+
- Is the information up-to-date? Yes, Beijing has been the capital for a long time.
|
| 1660 |
+
|
| 1661 |
+
*Drafting response*: The capital of China is Beijing.
|
| 1662 |
+
*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).
|
| 1663 |
+
</think>
|
| 1664 |
+
|
| 1665 |
+
The capital of China is Beijing.<|im_end|></pre>
|
| 1666 |
+
</article>
|
| 1667 |
+
|
| 1668 |
+
<article class="section-cell">
|
| 1669 |
+
<div class="cell-mode">disable-thinking</div>
|
| 1670 |
+
<pre>The capital of China is **Beijing**.
|
| 1671 |
+
|
| 1672 |
+
Beijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|></pre>
|
| 1673 |
+
</article>
|
| 1674 |
+
</div>
|
| 1675 |
+
</section>
|
| 1676 |
+
|
| 1677 |
+
<section class="section-row">
|
| 1678 |
+
<h3 class="section-row-title">FULL_SEQUENCE</h3>
|
| 1679 |
+
<div class="section-cells">
|
| 1680 |
+
|
| 1681 |
+
<article class="section-cell">
|
| 1682 |
+
<div class="cell-mode">enable-thinking</div>
|
| 1683 |
+
<pre><|im_start|>user
|
| 1684 |
+
Where is the capital of China?<|im_end|>
|
| 1685 |
+
<|im_start|>assistant
|
| 1686 |
+
<think>
|
| 1687 |
+
Thinking Process:
|
| 1688 |
+
|
| 1689 |
+
1. **Identify the core question**: The user is asking for the capital of China.
|
| 1690 |
+
2. **Retrieve knowledge**: Access knowledge about countries and their capitals.
|
| 1691 |
+
* Country: China (People's Republic of China)
|
| 1692 |
+
* Capital: Beijing
|
| 1693 |
+
3. **Formulate the answer**: State clearly that the capital of China is Beijing.
|
| 1694 |
+
4. **Review and refine**: Keep it concise and direct. "The capital of China is Beijing."
|
| 1695 |
+
5. **Final Output Generation**: Output the formulated answer.
|
| 1696 |
+
|
| 1697 |
+
*Self-Correction/Verification during thought process*:
|
| 1698 |
+
- Is there any ambiguity? No.
|
| 1699 |
+
- Is it a trick question? No.
|
| 1700 |
+
- Is the information up-to-date? Yes, Beijing has been the capital for a long time.
|
| 1701 |
+
|
| 1702 |
+
*Drafting response*: The capital of China is Beijing.
|
| 1703 |
+
*Final Polish*: The capital of China is Beijing. (Simple, direct, accurate).
|
| 1704 |
+
</think>
|
| 1705 |
+
|
| 1706 |
+
The capital of China is Beijing.<|im_end|></pre>
|
| 1707 |
+
</article>
|
| 1708 |
+
|
| 1709 |
+
<article class="section-cell">
|
| 1710 |
+
<div class="cell-mode">disable-thinking</div>
|
| 1711 |
+
<pre><|im_start|>user
|
| 1712 |
+
Where is the capital of China?<|im_end|>
|
| 1713 |
+
<|im_start|>assistant
|
| 1714 |
+
<think>
|
| 1715 |
+
|
| 1716 |
+
</think>
|
| 1717 |
+
|
| 1718 |
+
The capital of China is **Beijing**.
|
| 1719 |
+
|
| 1720 |
+
Beijing is located in northern China and serves as the country's political, cultural, and educational center. It has been the capital for most of the last 800 years and is home to significant historical sites such as the Forbidden City, the Temple of Heaven, and the Great Wall of China.<|im_end|></pre>
|
| 1721 |
+
</article>
|
| 1722 |
+
</div>
|
| 1723 |
+
</section>
|
| 1724 |
+
</section>
|
| 1725 |
+
</main>
|
| 1726 |
+
</body>
|
| 1727 |
+
</html>
|
inference/thinking_mode_ablation/20260512T181548Z/manifest.tsv
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
run_id model thinking_mode exit_status output_path log_path
|
| 2 |
+
20260512T181548Z Qwen/Qwen2.5-1.5B-Instruct enable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/enable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/enable-thinking/run.log
|
| 3 |
+
20260512T181548Z Qwen/Qwen2.5-1.5B-Instruct disable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/disable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen2.5-1.5B-Instruct/disable-thinking/run.log
|
| 4 |
+
20260512T181548Z Qwen/Qwen3-1.7B enable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/enable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/enable-thinking/run.log
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| 5 |
+
20260512T181548Z Qwen/Qwen3-1.7B disable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/disable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-1.7B/disable-thinking/run.log
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| 6 |
+
20260512T181548Z Qwen/Qwen3-4B enable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/enable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/enable-thinking/run.log
|
| 7 |
+
20260512T181548Z Qwen/Qwen3-4B disable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/disable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B/disable-thinking/run.log
|
| 8 |
+
20260512T181548Z Qwen/Qwen3-4B-Instruct-2507 enable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/enable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/enable-thinking/run.log
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| 9 |
+
20260512T181548Z Qwen/Qwen3-4B-Instruct-2507 disable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/disable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-Instruct-2507/disable-thinking/run.log
|
| 10 |
+
20260512T181548Z Qwen/Qwen3-4B-thinking-2507 enable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/enable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/enable-thinking/run.log
|
| 11 |
+
20260512T181548Z Qwen/Qwen3-4B-thinking-2507 disable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/disable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3-4B-thinking-2507/disable-thinking/run.log
|
| 12 |
+
20260512T181548Z Qwen/Qwen3.5-2B enable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/enable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/enable-thinking/run.log
|
| 13 |
+
20260512T181548Z Qwen/Qwen3.5-2B disable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/disable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.5-2B/disable-thinking/run.log
|
| 14 |
+
20260512T181548Z Qwen/Qwen3.6-27B enable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/enable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/enable-thinking/run.log
|
| 15 |
+
20260512T181548Z Qwen/Qwen3.6-27B disable-thinking 0 /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/disable-thinking/inference.json /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/inference/thinking_mode_ablation/20260512T181548Z/Qwen__Qwen3.6-27B/disable-thinking/run.log
|
logs/dataset_analysis/20260512T023115Z/s1_llava_558k.log
ADDED
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@@ -0,0 +1,39 @@
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| 1 |
+
[2026-05-12T02:31:15Z] start s1_llava_558k
|
| 2 |
+
|
| 3 |
+
Processed 23988 samples into /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/s1-LLaVA-558K-Webdataset/results
|
| 4 |
+
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| 5 |
+
Read 23988 records from 5 JSONL file(s).
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| 6 |
+
Wrote token statistics to /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_stats/s1-LLaVA-558K-Webdataset
|
| 7 |
+
|
| 8 |
+
Read 23988 records from 5 JSONL file(s).
|
| 9 |
+
Wrote image-size statistics for 625769 images to /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/s1-LLaVA-558K-Webdataset
|
| 10 |
+
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| 11 |
+
model hardware attention flops hours gpu-hours cost
|
| 12 |
+
Qwen/Qwen3-0.6B 8xa100 causal 2.523 EFLOPs 0.702 5.616
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| 13 |
+
Qwen/Qwen3-0.6B 8xh100 causal 2.523 EFLOPs 0.221 1.771
|
| 14 |
+
Qwen/Qwen3-0.6B 8xb200 causal 2.523 EFLOPs 0.097 0.779
|
| 15 |
+
Qwen/Qwen3-1.7B 8xa100 causal 6.225 EFLOPs 1.732 13.855
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| 16 |
+
Qwen/Qwen3-1.7B 8xh100 causal 6.225 EFLOPs 0.546 4.369
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| 17 |
+
Qwen/Qwen3-1.7B 8xb200 causal 6.225 EFLOPs 0.240 1.921
|
| 18 |
+
Qwen/Qwen3-4B 8xa100 causal 12.991 EFLOPs 3.614 28.916
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| 19 |
+
Qwen/Qwen3-4B 8xh100 causal 12.991 EFLOPs 1.140 9.117
|
| 20 |
+
Qwen/Qwen3-4B 8xb200 causal 12.991 EFLOPs 0.501 4.010
|
| 21 |
+
Qwen/Qwen3-8B 8xa100 causal 24.556 EFLOPs 6.832 54.657
|
| 22 |
+
Qwen/Qwen3-8B 8xh100 causal 24.556 EFLOPs 2.154 17.234
|
| 23 |
+
Qwen/Qwen3-8B 8xb200 causal 24.556 EFLOPs 0.947 7.579
|
| 24 |
+
Qwen/Qwen3-0.6B 8xa100 bidirectional 3.633 EFLOPs 1.011 8.086
|
| 25 |
+
Qwen/Qwen3-0.6B 8xh100 bidirectional 3.633 EFLOPs 0.319 2.550
|
| 26 |
+
Qwen/Qwen3-0.6B 8xb200 bidirectional 3.633 EFLOPs 0.140 1.121
|
| 27 |
+
Qwen/Qwen3-1.7B 8xa100 bidirectional 8.444 EFLOPs 2.349 18.794
|
| 28 |
+
Qwen/Qwen3-1.7B 8xh100 bidirectional 8.444 EFLOPs 0.741 5.926
|
| 29 |
+
Qwen/Qwen3-1.7B 8xb200 bidirectional 8.444 EFLOPs 0.326 2.606
|
| 30 |
+
Qwen/Qwen3-4B 8xa100 bidirectional 16.558 EFLOPs 4.607 36.854
|
| 31 |
+
Qwen/Qwen3-4B 8xh100 bidirectional 16.558 EFLOPs 1.453 11.620
|
| 32 |
+
Qwen/Qwen3-4B 8xb200 bidirectional 16.558 EFLOPs 0.639 5.110
|
| 33 |
+
Qwen/Qwen3-8B 8xa100 bidirectional 30.262 EFLOPs 8.420 67.357
|
| 34 |
+
Qwen/Qwen3-8B 8xh100 bidirectional 30.262 EFLOPs 2.655 21.238
|
| 35 |
+
Qwen/Qwen3-8B 8xb200 bidirectional 30.262 EFLOPs 1.168 9.340
|
| 36 |
+
Wrote FLOPs estimates to /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/flops_estimation/s1-LLaVA-558K-Webdataset
|
| 37 |
+
/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/reports/dataset_analysis/s1-LLaVA-558K-Webdataset/index.html
|
| 38 |
+
Wrote 1 dataset report(s) to /data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/reports/dataset_analysis
|
| 39 |
+
[2026-05-12T02:33:52Z] done s1_llava_558k
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reports/dataset_analysis/Bee-Training-Data-Stage1/assets/estimates.json
ADDED
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@@ -0,0 +1,792 @@
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{
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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reports/dataset_analysis/Bee-Training-Data-Stage1/assets/image_size_stats/orientation_independent_aspect_ratio_histogram_p0_p99.png
ADDED
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Git LFS Details
|
reports/dataset_analysis/Honey-Data-15M/assets/image_size_stats/height_histogram_full.png
ADDED
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Git LFS Details
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reports/dataset_analysis/Penguin-Recap-I/assets/estimates.csv
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| 1 |
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Qwen/Qwen3-0.6B,8xa100,bidirectional,600000000.0,28,1024,8,312.0,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,1.0495307976033402e+21,5.13438864372e+20,5.3609193323134006e+20,1.050 ZFLOPs,292.0035383289208,2336.0283066313664,,
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Qwen/Qwen3-0.6B,8xh100,bidirectional,600000000.0,28,1024,8,989.5,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,1.0495307976033402e+21,5.13438864372e+20,5.3609193323134006e+20,1.050 ZFLOPs,92.07185847258543,736.5748677806835,,
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Qwen/Qwen3-0.6B,8xb200,bidirectional,600000000.0,28,1024,8,2250.0,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,1.0495307976033402e+21,5.13438864372e+20,5.3609193323134006e+20,1.050 ZFLOPs,40.49115731494368,323.9292585195494,,
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Qwen/Qwen3-1.7B,8xa100,bidirectional,1700000000.0,28,2048,8,312.0,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,2.52692731551668e+21,1.454743449054e+21,1.0721838664626801e+21,2.527 ZFLOPs,703.0491329228654,5624.393063382923,,
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Qwen/Qwen3-1.7B,8xh100,bidirectional,1700000000.0,28,2048,8,989.5,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,2.52692731551668e+21,1.454743449054e+21,1.0721838664626801e+21,2.527 ZFLOPs,221.67895853656796,1773.4316682925437,,
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Qwen/Qwen3-1.7B,8xb200,bidirectional,1700000000.0,28,2048,8,2250.0,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,2.52692731551668e+21,1.454743449054e+21,1.0721838664626801e+21,2.527 ZFLOPs,97.489479765304,779.915838122432,,
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Qwen/Qwen3-4B,8xa100,bidirectional,4000000000.0,36,2560,8,312.0,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,5.146078405009307e+21,3.42292576248e+21,1.7231526425293074e+21,5.146 ZFLOPs,1431.7570348694874,11454.056278955899,,
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| 21 |
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Qwen/Qwen3-4B,8xh100,bidirectional,4000000000.0,36,2560,8,989.5,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,5.146078405009307e+21,3.42292576248e+21,1.7231526425293074e+21,5.146 ZFLOPs,451.44840311195566,3611.5872248956452,,
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| 22 |
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Qwen/Qwen3-4B,8xb200,bidirectional,4000000000.0,36,2560,8,2250.0,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,5.146078405009307e+21,3.42292576248e+21,1.7231526425293074e+21,5.146 ZFLOPs,198.53697550190228,1588.2958040152182,,
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Qwen/Qwen3-8B,8xa100,bidirectional,8000000000.0,36,4096,8,312.0,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,9.60289575300689e+21,6.84585152496e+21,2.757044228046892e+21,9.603 ZFLOPs,2671.745835839257,21373.966686714055,,
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Qwen/Qwen3-8B,8xh100,bidirectional,8000000000.0,36,4096,8,989.5,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,9.60289575300689e+21,6.84585152496e+21,2.757044228046892e+21,9.603 ZFLOPs,842.4302180715999,6739.4417445727995,,
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| 25 |
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Qwen/Qwen3-8B,8xb200,bidirectional,8000000000.0,36,4096,8,2250.0,0.4,1.0,1.0,True,False,68581798,142621906770.0,1558116900435210.0,9.60289575300689e+21,6.84585152496e+21,2.757044228046892e+21,9.603 ZFLOPs,370.48208923637696,2963.8567138910157,,
|
reports/dataset_analysis/Penguin-Recap-I/assets/image_size_stats/index.html
ADDED
|
@@ -0,0 +1,632 @@
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|
| 1 |
+
<!doctype html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="utf-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1">
|
| 6 |
+
<title>Image Size Statistics</title>
|
| 7 |
+
<style>
|
| 8 |
+
:root {
|
| 9 |
+
color-scheme: light;
|
| 10 |
+
--bg: #f7f8fa;
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+
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|
| 18 |
+
--warning-soft: #fff4db;
|
| 19 |
+
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|
| 20 |
+
* { box-sizing: border-box; }
|
| 21 |
+
body {
|
| 22 |
+
margin: 0;
|
| 23 |
+
background: var(--bg);
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| 24 |
+
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|
| 25 |
+
font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
|
| 26 |
+
line-height: 1.5;
|
| 27 |
+
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|
| 28 |
+
main {
|
| 29 |
+
width: min(1180px, calc(100% - 40px));
|
| 30 |
+
margin: 0 auto;
|
| 31 |
+
padding: 32px 0 48px;
|
| 32 |
+
}
|
| 33 |
+
header, section { margin-bottom: 28px; }
|
| 34 |
+
h1, h2, h3, p { margin-top: 0; }
|
| 35 |
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h1 { margin-bottom: 4px; font-size: 32px; line-height: 1.2; }
|
| 36 |
+
h2 { margin-bottom: 12px; font-size: 20px; }
|
| 37 |
+
h3 { margin-bottom: 12px; font-size: 18px; }
|
| 38 |
+
a { color: var(--accent); }
|
| 39 |
+
code {
|
| 40 |
+
overflow-wrap: anywhere;
|
| 41 |
+
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
|
| 42 |
+
font-size: 0.92em;
|
| 43 |
+
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|
| 44 |
+
.muted { color: var(--muted); }
|
| 45 |
+
.warning {
|
| 46 |
+
margin-bottom: 12px;
|
| 47 |
+
border: 1px solid #efc66d;
|
| 48 |
+
border-radius: 8px;
|
| 49 |
+
background: var(--warning-soft);
|
| 50 |
+
color: var(--warning);
|
| 51 |
+
padding: 10px 12px;
|
| 52 |
+
}
|
| 53 |
+
.panel {
|
| 54 |
+
background: var(--panel);
|
| 55 |
+
border: 1px solid var(--line);
|
| 56 |
+
border-radius: 8px;
|
| 57 |
+
padding: 18px;
|
| 58 |
+
}
|
| 59 |
+
.grid {
|
| 60 |
+
display: grid;
|
| 61 |
+
grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
|
| 62 |
+
gap: 12px;
|
| 63 |
+
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|
| 64 |
+
.card {
|
| 65 |
+
background: var(--panel);
|
| 66 |
+
border: 1px solid var(--line);
|
| 67 |
+
border-radius: 8px;
|
| 68 |
+
padding: 14px 16px;
|
| 69 |
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}
|
| 70 |
+
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|
| 71 |
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.card .value { margin-top: 4px; font-size: 24px; font-weight: 700; }
|
| 72 |
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dl {
|
| 73 |
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|
| 74 |
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grid-template-columns: max-content minmax(0, 1fr);
|
| 75 |
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gap: 8px 16px;
|
| 76 |
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margin: 0;
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| 77 |
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| 78 |
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|
| 79 |
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dd { margin: 0; min-width: 0; }
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| 80 |
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table {
|
| 81 |
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| 82 |
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border-collapse: collapse;
|
| 83 |
+
background: var(--panel);
|
| 84 |
+
border: 1px solid var(--line);
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| 85 |
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|
| 86 |
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| 88 |
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| 89 |
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|
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|
| 92 |
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| 93 |
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|
| 94 |
+
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|
| 95 |
+
background: var(--accent-soft);
|
| 96 |
+
color: #17465e;
|
| 97 |
+
font-size: 13px;
|
| 98 |
+
font-weight: 700;
|
| 99 |
+
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|
| 100 |
+
th:first-child, td:first-child { text-align: left; }
|
| 101 |
+
tr:last-child td { border-bottom: 0; }
|
| 102 |
+
.table-wrap { overflow-x: auto; }
|
| 103 |
+
.plots {
|
| 104 |
+
display: grid;
|
| 105 |
+
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
|
| 106 |
+
gap: 14px;
|
| 107 |
+
}
|
| 108 |
+
figure { margin: 0; }
|
| 109 |
+
img {
|
| 110 |
+
width: 100%;
|
| 111 |
+
height: auto;
|
| 112 |
+
display: block;
|
| 113 |
+
border: 1px solid var(--line);
|
| 114 |
+
border-radius: 6px;
|
| 115 |
+
background: white;
|
| 116 |
+
}
|
| 117 |
+
figcaption { margin-top: 6px; color: var(--muted); font-size: 13px; }
|
| 118 |
+
details summary { cursor: pointer; color: var(--accent); font-weight: 600; }
|
| 119 |
+
ul { margin: 12px 0 0; padding-left: 20px; }
|
| 120 |
+
@media (max-width: 640px) {
|
| 121 |
+
main { width: min(100% - 24px, 1180px); padding-top: 20px; }
|
| 122 |
+
dl { grid-template-columns: 1fr; gap: 2px 0; }
|
| 123 |
+
dt { margin-top: 8px; }
|
| 124 |
+
}
|
| 125 |
+
</style>
|
| 126 |
+
</head>
|
| 127 |
+
<body>
|
| 128 |
+
<main>
|
| 129 |
+
<header>
|
| 130 |
+
<h1>Image Size Statistics</h1>
|
| 131 |
+
<p class="muted">Created 2026-05-12T05:37:24.781682+00:00</p>
|
| 132 |
+
</header>
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
<section class="panel">
|
| 137 |
+
<h2>Run</h2>
|
| 138 |
+
<dl>
|
| 139 |
+
<dt>Input path</dt>
|
| 140 |
+
<dd><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I</code></dd>
|
| 141 |
+
<dt>Output path</dt>
|
| 142 |
+
<dd><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I</code></dd>
|
| 143 |
+
<dt>Histogram bins</dt>
|
| 144 |
+
<dd>100</dd>
|
| 145 |
+
<dt>Line max points</dt>
|
| 146 |
+
<dd>20,000</dd>
|
| 147 |
+
<dt>Script version</dt>
|
| 148 |
+
<dd>2</dd>
|
| 149 |
+
<dt>Artifacts</dt>
|
| 150 |
+
<dd><a href="summary.json">summary.json</a> and <a href="summary.csv">summary.csv</a></dd>
|
| 151 |
+
</dl>
|
| 152 |
+
</section>
|
| 153 |
+
|
| 154 |
+
<section>
|
| 155 |
+
<h2>Overview</h2>
|
| 156 |
+
<div class="grid">
|
| 157 |
+
<div class="card">
|
| 158 |
+
<div class="label">Records</div>
|
| 159 |
+
<div class="value">68,581,798</div>
|
| 160 |
+
</div>
|
| 161 |
+
<div class="card">
|
| 162 |
+
<div class="label">Image Samples</div>
|
| 163 |
+
<div class="value">68,581,798</div>
|
| 164 |
+
</div>
|
| 165 |
+
<div class="card">
|
| 166 |
+
<div class="label">Images</div>
|
| 167 |
+
<div class="value">68,581,798</div>
|
| 168 |
+
</div>
|
| 169 |
+
<div class="card">
|
| 170 |
+
<div class="label">Invalid Image Entries</div>
|
| 171 |
+
<div class="value">0</div>
|
| 172 |
+
</div>
|
| 173 |
+
</div>
|
| 174 |
+
</section>
|
| 175 |
+
|
| 176 |
+
<section>
|
| 177 |
+
<h2>Metrics</h2>
|
| 178 |
+
<div class="table-wrap">
|
| 179 |
+
<table>
|
| 180 |
+
<thead>
|
| 181 |
+
<tr>
|
| 182 |
+
<th>Metric</th>
|
| 183 |
+
<th>Count</th>
|
| 184 |
+
<th>Total</th>
|
| 185 |
+
<th>Average</th>
|
| 186 |
+
<th>P0</th>
|
| 187 |
+
<th>P25</th>
|
| 188 |
+
<th>P50</th>
|
| 189 |
+
<th>P75</th>
|
| 190 |
+
<th>P90</th>
|
| 191 |
+
<th>P99</th>
|
| 192 |
+
<th>P100</th>
|
| 193 |
+
</tr>
|
| 194 |
+
</thead>
|
| 195 |
+
<tbody>
|
| 196 |
+
<tr><td>Height</td><td>68,581,798</td><td>35,802,001,526</td><td>522.03</td><td>129</td><td>300</td><td>476</td><td>608</td><td>900</td><td>2,000</td><td>24,933</td></tr>
|
| 197 |
+
<tr><td>Width</td><td>68,581,798</td><td>41,413,490,108</td><td>603.86</td><td>129</td><td>300</td><td>512</td><td>768</td><td>1,024</td><td>2,048</td><td>19,348</td></tr>
|
| 198 |
+
<tr><td>Aspect Ratio (w:h)</td><td>68,581,798</td><td>83,067,688.27</td><td>1.21</td><td>0.03</td><td>1</td><td>1.12</td><td>1.50</td><td>1.74</td><td>2.42</td><td>31.23</td></tr>
|
| 199 |
+
<tr><td>Orientation-Independent Aspect Ratio</td><td>68,581,798</td><td>93,331,609.08</td><td>1.36</td><td>1</td><td>1</td><td>1.33</td><td>1.50</td><td>1.78</td><td>2.56</td><td>39.98</td></tr>
|
| 200 |
+
<tr><td>Total Pixels</td><td>68,581,798</td><td>30,406,864,596,130</td><td>443,366.40</td><td>16,641</td><td>90,000</td><td>250,000</td><td>410,700</td><td>804,760</td><td>3,901,440.30</td><td>177,768,889</td></tr>
|
| 201 |
+
</tbody>
|
| 202 |
+
</table>
|
| 203 |
+
</div>
|
| 204 |
+
</section>
|
| 205 |
+
|
| 206 |
+
<section>
|
| 207 |
+
<h2>Plots</h2>
|
| 208 |
+
<article class="panel">
|
| 209 |
+
<h3>Height</h3>
|
| 210 |
+
<h4>Histogram</h4>
|
| 211 |
+
<div class="plots">
|
| 212 |
+
<figure>
|
| 213 |
+
<img src="height_histogram_full.png" alt="Height P0-P100 histogram">
|
| 214 |
+
<figcaption>P0-P100 range</figcaption>
|
| 215 |
+
</figure>
|
| 216 |
+
<figure>
|
| 217 |
+
<img src="height_histogram_p0_p99.png" alt="Height P0-P99 histogram">
|
| 218 |
+
<figcaption>P0-P99 range</figcaption>
|
| 219 |
+
</figure>
|
| 220 |
+
</div>
|
| 221 |
+
<h4>Sorted Values</h4>
|
| 222 |
+
<div class="plots">
|
| 223 |
+
<figure>
|
| 224 |
+
<img src="height_sorted_line_full.png" alt="Height P0-P100 sorted line">
|
| 225 |
+
<figcaption>P0-P100 range</figcaption>
|
| 226 |
+
</figure>
|
| 227 |
+
<figure>
|
| 228 |
+
<img src="height_sorted_line_p0_p99.png" alt="Height P0-P99 sorted line">
|
| 229 |
+
<figcaption>P0-P99 range</figcaption>
|
| 230 |
+
</figure>
|
| 231 |
+
</div>
|
| 232 |
+
</article>
|
| 233 |
+
<article class="panel">
|
| 234 |
+
<h3>Width</h3>
|
| 235 |
+
<h4>Histogram</h4>
|
| 236 |
+
<div class="plots">
|
| 237 |
+
<figure>
|
| 238 |
+
<img src="width_histogram_full.png" alt="Width P0-P100 histogram">
|
| 239 |
+
<figcaption>P0-P100 range</figcaption>
|
| 240 |
+
</figure>
|
| 241 |
+
<figure>
|
| 242 |
+
<img src="width_histogram_p0_p99.png" alt="Width P0-P99 histogram">
|
| 243 |
+
<figcaption>P0-P99 range</figcaption>
|
| 244 |
+
</figure>
|
| 245 |
+
</div>
|
| 246 |
+
<h4>Sorted Values</h4>
|
| 247 |
+
<div class="plots">
|
| 248 |
+
<figure>
|
| 249 |
+
<img src="width_sorted_line_full.png" alt="Width P0-P100 sorted line">
|
| 250 |
+
<figcaption>P0-P100 range</figcaption>
|
| 251 |
+
</figure>
|
| 252 |
+
<figure>
|
| 253 |
+
<img src="width_sorted_line_p0_p99.png" alt="Width P0-P99 sorted line">
|
| 254 |
+
<figcaption>P0-P99 range</figcaption>
|
| 255 |
+
</figure>
|
| 256 |
+
</div>
|
| 257 |
+
</article>
|
| 258 |
+
<article class="panel">
|
| 259 |
+
<h3>Aspect Ratio (w:h)</h3>
|
| 260 |
+
<h4>Histogram</h4>
|
| 261 |
+
<div class="plots">
|
| 262 |
+
<figure>
|
| 263 |
+
<img src="aspect_ratio_histogram_full.png" alt="Aspect Ratio (w:h) P0-P100 histogram">
|
| 264 |
+
<figcaption>P0-P100 range</figcaption>
|
| 265 |
+
</figure>
|
| 266 |
+
<figure>
|
| 267 |
+
<img src="aspect_ratio_histogram_p0_p99.png" alt="Aspect Ratio (w:h) P0-P99 histogram">
|
| 268 |
+
<figcaption>P0-P99 range</figcaption>
|
| 269 |
+
</figure>
|
| 270 |
+
</div>
|
| 271 |
+
<h4>Sorted Values</h4>
|
| 272 |
+
<div class="plots">
|
| 273 |
+
<figure>
|
| 274 |
+
<img src="aspect_ratio_sorted_line_full.png" alt="Aspect Ratio (w:h) P0-P100 sorted line">
|
| 275 |
+
<figcaption>P0-P100 range</figcaption>
|
| 276 |
+
</figure>
|
| 277 |
+
<figure>
|
| 278 |
+
<img src="aspect_ratio_sorted_line_p0_p99.png" alt="Aspect Ratio (w:h) P0-P99 sorted line">
|
| 279 |
+
<figcaption>P0-P99 range</figcaption>
|
| 280 |
+
</figure>
|
| 281 |
+
</div>
|
| 282 |
+
</article>
|
| 283 |
+
<article class="panel">
|
| 284 |
+
<h3>Orientation-Independent Aspect Ratio</h3>
|
| 285 |
+
<h4>Histogram</h4>
|
| 286 |
+
<div class="plots">
|
| 287 |
+
<figure>
|
| 288 |
+
<img src="orientation_independent_aspect_ratio_histogram_full.png" alt="Orientation-Independent Aspect Ratio P0-P100 histogram">
|
| 289 |
+
<figcaption>P0-P100 range</figcaption>
|
| 290 |
+
</figure>
|
| 291 |
+
<figure>
|
| 292 |
+
<img src="orientation_independent_aspect_ratio_histogram_p0_p99.png" alt="Orientation-Independent Aspect Ratio P0-P99 histogram">
|
| 293 |
+
<figcaption>P0-P99 range</figcaption>
|
| 294 |
+
</figure>
|
| 295 |
+
</div>
|
| 296 |
+
<h4>Sorted Values</h4>
|
| 297 |
+
<div class="plots">
|
| 298 |
+
<figure>
|
| 299 |
+
<img src="orientation_independent_aspect_ratio_sorted_line_full.png" alt="Orientation-Independent Aspect Ratio P0-P100 sorted line">
|
| 300 |
+
<figcaption>P0-P100 range</figcaption>
|
| 301 |
+
</figure>
|
| 302 |
+
<figure>
|
| 303 |
+
<img src="orientation_independent_aspect_ratio_sorted_line_p0_p99.png" alt="Orientation-Independent Aspect Ratio P0-P99 sorted line">
|
| 304 |
+
<figcaption>P0-P99 range</figcaption>
|
| 305 |
+
</figure>
|
| 306 |
+
</div>
|
| 307 |
+
</article>
|
| 308 |
+
<article class="panel">
|
| 309 |
+
<h3>Total Pixels</h3>
|
| 310 |
+
<h4>Histogram</h4>
|
| 311 |
+
<div class="plots">
|
| 312 |
+
<figure>
|
| 313 |
+
<img src="total_pixels_histogram_full.png" alt="Total Pixels P0-P100 histogram">
|
| 314 |
+
<figcaption>P0-P100 range</figcaption>
|
| 315 |
+
</figure>
|
| 316 |
+
<figure>
|
| 317 |
+
<img src="total_pixels_histogram_p0_p99.png" alt="Total Pixels P0-P99 histogram">
|
| 318 |
+
<figcaption>P0-P99 range</figcaption>
|
| 319 |
+
</figure>
|
| 320 |
+
</div>
|
| 321 |
+
<h4>Sorted Values</h4>
|
| 322 |
+
<div class="plots">
|
| 323 |
+
<figure>
|
| 324 |
+
<img src="total_pixels_sorted_line_full.png" alt="Total Pixels P0-P100 sorted line">
|
| 325 |
+
<figcaption>P0-P100 range</figcaption>
|
| 326 |
+
</figure>
|
| 327 |
+
<figure>
|
| 328 |
+
<img src="total_pixels_sorted_line_p0_p99.png" alt="Total Pixels P0-P99 sorted line">
|
| 329 |
+
<figcaption>P0-P99 range</figcaption>
|
| 330 |
+
</figure>
|
| 331 |
+
</div>
|
| 332 |
+
</article>
|
| 333 |
+
</section>
|
| 334 |
+
|
| 335 |
+
<section class="panel">
|
| 336 |
+
<details>
|
| 337 |
+
<summary>Input files (288)</summary>
|
| 338 |
+
<ul>
|
| 339 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000000_data__datacomp_coyo_penguin__000000_a501a707f3.jsonl</code></li>
|
| 340 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000001_data__datacomp_coyo_penguin__000001_0246dfa1e4.jsonl</code></li>
|
| 341 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000002_data__datacomp_coyo_penguin__000002_b96c33c6c7.jsonl</code></li>
|
| 342 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000003_data__datacomp_coyo_penguin__000003_fc6bf7bece.jsonl</code></li>
|
| 343 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000004_data__datacomp_coyo_penguin__000004_a113ae3c35.jsonl</code></li>
|
| 344 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000005_data__datacomp_coyo_penguin__000005_417a6fb1c1.jsonl</code></li>
|
| 345 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000006_data__datacomp_coyo_penguin__000006_eaf196edb4.jsonl</code></li>
|
| 346 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000007_data__datacomp_coyo_penguin__000007_11690484ea.jsonl</code></li>
|
| 347 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000008_data__datacomp_coyo_penguin__000008_19f4cb3a9a.jsonl</code></li>
|
| 348 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000009_data__datacomp_coyo_penguin__000009_28579b4311.jsonl</code></li>
|
| 349 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000010_data__datacomp_coyo_penguin__000010_ee770df1ec.jsonl</code></li>
|
| 350 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000011_data__datacomp_coyo_penguin__000011_50f197733c.jsonl</code></li>
|
| 351 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000012_data__datacomp_coyo_penguin__000012_c4dcc99137.jsonl</code></li>
|
| 352 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000013_data__datacomp_coyo_penguin__000013_1aaf8a8f21.jsonl</code></li>
|
| 353 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000014_data__datacomp_coyo_penguin__000014_135d3d458d.jsonl</code></li>
|
| 354 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000015_data__datacomp_coyo_penguin__000015_0952c2310f.jsonl</code></li>
|
| 355 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000016_data__datacomp_coyo_penguin__000016_24013b195d.jsonl</code></li>
|
| 356 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000017_data__datacomp_coyo_penguin__000017_70a303c5b8.jsonl</code></li>
|
| 357 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000018_data__datacomp_coyo_penguin__000018_336b1558de.jsonl</code></li>
|
| 358 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000019_data__datacomp_coyo_penguin__000019_6b37352b02.jsonl</code></li>
|
| 359 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000020_data__datacomp_coyo_penguin__000020_a43cb45fd8.jsonl</code></li>
|
| 360 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000021_data__datacomp_coyo_penguin__000021_bfaf9ca3fd.jsonl</code></li>
|
| 361 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000022_data__datacomp_coyo_penguin__000022_caa224f9ac.jsonl</code></li>
|
| 362 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000023_data__datacomp_coyo_penguin__000023_4e63e004ea.jsonl</code></li>
|
| 363 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000024_data__datacomp_coyo_penguin__000024_4fa2bfc157.jsonl</code></li>
|
| 364 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000025_data__datacomp_coyo_penguin__000025_431e2f86d1.jsonl</code></li>
|
| 365 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000026_data__datacomp_coyo_penguin__000026_411a8405c4.jsonl</code></li>
|
| 366 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000027_data__datacomp_coyo_penguin__000027_1f3d7e5c37.jsonl</code></li>
|
| 367 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000028_data__datacomp_coyo_penguin__000028_a12d9dddc1.jsonl</code></li>
|
| 368 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000029_data__datacomp_coyo_penguin__000029_c4e607d489.jsonl</code></li>
|
| 369 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000030_data__datacomp_coyo_penguin__000030_7ae4b70f5d.jsonl</code></li>
|
| 370 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000031_data__datacomp_coyo_penguin__000031_eab4e36f92.jsonl</code></li>
|
| 371 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000032_data__datacomp_coyo_penguin__000032_d93c8ccbf0.jsonl</code></li>
|
| 372 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000033_data__datacomp_coyo_penguin__000033_75eb444bfb.jsonl</code></li>
|
| 373 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000034_data__datacomp_coyo_penguin__000034_a941dccab6.jsonl</code></li>
|
| 374 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000035_data__datacomp_coyo_penguin__000035_207c286370.jsonl</code></li>
|
| 375 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000036_data__datacomp_coyo_penguin__000036_e3aa4403c9.jsonl</code></li>
|
| 376 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000037_data__datacomp_coyo_penguin__000037_1fccf05d6e.jsonl</code></li>
|
| 377 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000038_data__datacomp_coyo_penguin__000038_ca299a061a.jsonl</code></li>
|
| 378 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000039_data__datacomp_coyo_penguin__000039_36d3014b96.jsonl</code></li>
|
| 379 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000040_data__datacomp_coyo_penguin__000040_14d81bd9ec.jsonl</code></li>
|
| 380 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000041_data__datacomp_coyo_penguin__000041_9fb5635d69.jsonl</code></li>
|
| 381 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000042_data__datacomp_coyo_penguin__000042_7914f7fc87.jsonl</code></li>
|
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000225_data__datacomp_coyo_penguin__000225_02f4547f0d.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000230_data__datacomp_coyo_penguin__000230_e90a8b881d.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000231_data__datacomp_coyo_penguin__000231_9a823af2db.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000232_data__datacomp_coyo_penguin__000232_0cd24bc263.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000233_data__datacomp_coyo_penguin__000233_6e508762cf.jsonl</code></li>
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+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000235_data__datacomp_coyo_penguin__000235_89045d62ff.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000241_data__openimages_penguin__000000_f0a749527f.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000244_data__openimages_penguin__000003_4f2cd8f55c.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000245_data__openimages_penguin__000004_962b01084c.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000246_data__openimages_penguin__000005_73dcfaa160.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000247_data__openimages_penguin__000006_091b87277c.jsonl</code></li>
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+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000248_data__openimages_penguin__000007_ab8bb1929b.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000249_data__sa1b_penguin__000000_506b53d3fd.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000250_data__sa1b_penguin__000001_f868bf57f5.jsonl</code></li>
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+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000251_data__sa1b_penguin__000002_9068bb5178.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000252_data__sa1b_penguin__000003_37622a2b02.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000253_data__sa1b_penguin__000004_465be07050.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000254_data__sa1b_penguin__000005_b372543be1.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000255_data__sa1b_penguin__000006_50a5bc1623.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000256_data__sa1b_penguin__000007_4872fe0e63.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000257_data__sa1b_penguin__000008_ce1413fc40.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000258_data__sa1b_penguin__000009_ce83bba02e.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000259_data__sa1b_penguin__000010_50cec1b7f6.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000260_data__sa1b_penguin__000011_ad0ec58246.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000261_data__sa1b_penguin__000012_680255a33c.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000262_data__sa1b_penguin__000013_fb51a8b4ee.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000263_data__sa1b_penguin__000014_f758b54676.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000264_data__sa1b_penguin__000015_a4d0d9f1df.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000265_data__sa1b_penguin__000016_b84175d9a8.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000266_data__sa1b_penguin__000017_5dfc8f787f.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000267_data__sa1b_penguin__000018_238948d73b.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000268_data__sa1b_penguin__000019_8abc7ec8f9.jsonl</code></li>
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| 608 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000269_data__sa1b_penguin__000020_bc80bd57ce.jsonl</code></li>
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| 609 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000270_data__sa1b_penguin__000021_627327d241.jsonl</code></li>
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| 610 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000271_data__sa1b_penguin__000022_efc3e71557.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000272_data__sa1b_penguin__000023_77c37b6d65.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000273_data__sa1b_penguin__000024_196a9bd5db.jsonl</code></li>
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| 613 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000274_data__sa1b_penguin__000025_6751c8946d.jsonl</code></li>
|
| 614 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000275_data__sa1b_penguin__000026_13ae575847.jsonl</code></li>
|
| 615 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000276_data__sa1b_penguin__000027_0b5a22ec0e.jsonl</code></li>
|
| 616 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000277_data__sa1b_penguin__000028_36ef8630eb.jsonl</code></li>
|
| 617 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000278_data__sa1b_penguin__000029_9508e2bd9d.jsonl</code></li>
|
| 618 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000279_data__sa1b_penguin__000030_026daf82b5.jsonl</code></li>
|
| 619 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000280_data__sa1b_penguin__000031_7ca78d49ed.jsonl</code></li>
|
| 620 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000281_data__sa1b_penguin__000032_05a266dedc.jsonl</code></li>
|
| 621 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000282_data__sa1b_penguin__000033_406ac3996e.jsonl</code></li>
|
| 622 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000283_data__sa1b_penguin__000034_fbf8d352c6.jsonl</code></li>
|
| 623 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000284_data__sa1b_penguin__000035_40ea05db58.jsonl</code></li>
|
| 624 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000285_data__sa1b_penguin__000036_1fd06300b2.jsonl</code></li>
|
| 625 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000286_data__sa1b_penguin__000037_f233f6eae5.jsonl</code></li>
|
| 626 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000287_data__sa1b_penguin__000038_7ef01450ba.jsonl</code></li>
|
| 627 |
+
</ul>
|
| 628 |
+
</details>
|
| 629 |
+
</section>
|
| 630 |
+
</main>
|
| 631 |
+
</body>
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| 632 |
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</html>
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reports/dataset_analysis/Penguin-Recap-I/assets/image_size_stats/summary.csv
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metric,count,total,average,p0,p25,p50,p75,p90,p99,p100,histogram_full_path,histogram_p0_p99_path,sorted_line_full_path,sorted_line_p0_p99_path
|
| 2 |
+
height,68581798,35802001526,522.033579901186,129,300,476,608,900,2000,24933,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/height_histogram_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/height_histogram_p0_p99.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/height_sorted_line_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/height_sorted_line_p0_p99.png
|
| 3 |
+
width,68581798,41413490108,603.8554152225639,129,300,512,768,1024,2048,19348,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/width_histogram_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/width_histogram_p0_p99.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/width_sorted_line_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/width_sorted_line_p0_p99.png
|
| 4 |
+
aspect_ratio,68581798,83067688.272142,1.2112206255097246,0.025011,1,1.116022,1.5,1.741497,2.424242,31.230337,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/aspect_ratio_histogram_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/aspect_ratio_histogram_p0_p99.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/aspect_ratio_sorted_line_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/aspect_ratio_sorted_line_p0_p99.png
|
| 5 |
+
orientation_independent_aspect_ratio,68581798,93331609.080122,1.360880172318052,1,1,1.333333,1.5,1.777143,2.564103,39.983051,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/orientation_independent_aspect_ratio_histogram_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/orientation_independent_aspect_ratio_histogram_p0_p99.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/orientation_independent_aspect_ratio_sorted_line_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/orientation_independent_aspect_ratio_sorted_line_p0_p99.png
|
| 6 |
+
total_pixels,68581798,30406864596130,443366.3957910523,16641,90000,250000,410700,804760,3901440.3,177768889,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/total_pixels_histogram_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/total_pixels_histogram_p0_p99.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/total_pixels_sorted_line_full.png,/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I/total_pixels_sorted_line_p0_p99.png
|
reports/dataset_analysis/Penguin-Recap-I/assets/image_size_stats/summary.json
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| 1 |
+
{
|
| 2 |
+
"script_version": 2,
|
| 3 |
+
"created_at": "2026-05-12T05:37:24.781682+00:00",
|
| 4 |
+
"input_path": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I",
|
| 5 |
+
"output_path": "/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I",
|
| 6 |
+
"histogram_bins": 100,
|
| 7 |
+
"line_max_points": 20000,
|
| 8 |
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"input_files": [
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| 9 |
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"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000000_data__datacomp_coyo_penguin__000000_a501a707f3.jsonl",
|
| 10 |
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"/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000001_data__datacomp_coyo_penguin__000001_0246dfa1e4.jsonl",
|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 36 |
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|
| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 46 |
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| 47 |
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| 48 |
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| 49 |
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| 50 |
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reports/dataset_analysis/Penguin-Recap-I/assets/summary.csv
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@@ -0,0 +1,4 @@
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metric,count,total,average,p0,p25,p50,p75,p90,p99,p100,histogram_full_path,histogram_p0_p99_path
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reports/dataset_analysis/Penguin-Recap-I/index.html
ADDED
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@@ -0,0 +1,966 @@
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|
| 1 |
+
<!doctype html>
|
| 2 |
+
<html lang="en">
|
| 3 |
+
<head>
|
| 4 |
+
<meta charset="utf-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1">
|
| 6 |
+
<title>Penguin-Recap-I - Dataset Analysis Report</title>
|
| 7 |
+
<style>
|
| 8 |
+
:root {
|
| 9 |
+
color-scheme: light;
|
| 10 |
+
--bg: #f6f7f9;
|
| 11 |
+
--panel: #ffffff;
|
| 12 |
+
--text: #1f2328;
|
| 13 |
+
--muted: #626f7f;
|
| 14 |
+
--line: #d7dde5;
|
| 15 |
+
--accent: #1d6a73;
|
| 16 |
+
--accent-soft: #e3f4f2;
|
| 17 |
+
--warn: #8a4b00;
|
| 18 |
+
--warn-soft: #fff4dc;
|
| 19 |
+
--missing: #7a2e2e;
|
| 20 |
+
--missing-soft: #fde8e8;
|
| 21 |
+
}
|
| 22 |
+
* { box-sizing: border-box; }
|
| 23 |
+
body {
|
| 24 |
+
margin: 0;
|
| 25 |
+
background: var(--bg);
|
| 26 |
+
color: var(--text);
|
| 27 |
+
font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
|
| 28 |
+
line-height: 1.5;
|
| 29 |
+
}
|
| 30 |
+
main {
|
| 31 |
+
width: min(1240px, calc(100% - 40px));
|
| 32 |
+
margin: 0 auto;
|
| 33 |
+
padding: 32px 0 48px;
|
| 34 |
+
}
|
| 35 |
+
header, section {
|
| 36 |
+
margin-bottom: 28px;
|
| 37 |
+
}
|
| 38 |
+
h1, h2, h3, p {
|
| 39 |
+
margin-top: 0;
|
| 40 |
+
}
|
| 41 |
+
h1 {
|
| 42 |
+
margin-bottom: 8px;
|
| 43 |
+
font-size: 32px;
|
| 44 |
+
line-height: 1.2;
|
| 45 |
+
overflow-wrap: anywhere;
|
| 46 |
+
}
|
| 47 |
+
h2 {
|
| 48 |
+
margin-bottom: 12px;
|
| 49 |
+
font-size: 21px;
|
| 50 |
+
}
|
| 51 |
+
h3 {
|
| 52 |
+
margin-bottom: 12px;
|
| 53 |
+
font-size: 17px;
|
| 54 |
+
}
|
| 55 |
+
a {
|
| 56 |
+
color: var(--accent);
|
| 57 |
+
}
|
| 58 |
+
code {
|
| 59 |
+
overflow-wrap: anywhere;
|
| 60 |
+
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
|
| 61 |
+
font-size: 0.92em;
|
| 62 |
+
}
|
| 63 |
+
.muted {
|
| 64 |
+
color: var(--muted);
|
| 65 |
+
}
|
| 66 |
+
.status-row {
|
| 67 |
+
display: flex;
|
| 68 |
+
flex-wrap: wrap;
|
| 69 |
+
gap: 8px;
|
| 70 |
+
align-items: center;
|
| 71 |
+
color: var(--muted);
|
| 72 |
+
}
|
| 73 |
+
.badge {
|
| 74 |
+
display: inline-flex;
|
| 75 |
+
align-items: center;
|
| 76 |
+
min-height: 26px;
|
| 77 |
+
padding: 3px 9px;
|
| 78 |
+
border: 1px solid var(--line);
|
| 79 |
+
border-radius: 999px;
|
| 80 |
+
background: var(--panel);
|
| 81 |
+
color: var(--text);
|
| 82 |
+
font-size: 13px;
|
| 83 |
+
font-weight: 650;
|
| 84 |
+
}
|
| 85 |
+
.badge.ok {
|
| 86 |
+
border-color: #a9d7d1;
|
| 87 |
+
background: var(--accent-soft);
|
| 88 |
+
color: #14545b;
|
| 89 |
+
}
|
| 90 |
+
.badge.missing {
|
| 91 |
+
border-color: #e1a5a5;
|
| 92 |
+
background: var(--missing-soft);
|
| 93 |
+
color: var(--missing);
|
| 94 |
+
}
|
| 95 |
+
.panel {
|
| 96 |
+
background: var(--panel);
|
| 97 |
+
border: 1px solid var(--line);
|
| 98 |
+
border-radius: 8px;
|
| 99 |
+
padding: 18px;
|
| 100 |
+
}
|
| 101 |
+
.warning {
|
| 102 |
+
border-color: #eccb8e;
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background: var(--warn-soft);
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color: var(--warn);
|
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.grid {
|
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
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gap: 12px;
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.card {
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background: var(--panel);
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border: 1px solid var(--line);
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padding: 14px 16px;
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}
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.card .label {
|
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color: var(--muted);
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font-size: 13px;
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.card .value {
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font-weight: 750;
|
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overflow-wrap: anywhere;
|
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|
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dl {
|
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display: grid;
|
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grid-template-columns: max-content minmax(0, 1fr);
|
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+
gap: 8px 16px;
|
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+
margin: 0;
|
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+
}
|
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+
dt {
|
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+
color: var(--muted);
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font-weight: 650;
|
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}
|
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+
dd {
|
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+
margin: 0;
|
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+
min-width: 0;
|
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+
}
|
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+
table {
|
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+
width: 100%;
|
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+
border-collapse: collapse;
|
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+
background: var(--panel);
|
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+
border: 1px solid var(--line);
|
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+
border-radius: 8px;
|
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+
overflow: hidden;
|
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}
|
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+
th, td {
|
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+
padding: 10px 12px;
|
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border-bottom: 1px solid var(--line);
|
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+
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|
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th {
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font-weight: 750;
|
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|
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th:first-child, td:first-child {
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tr:last-child td {
|
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|
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|
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|
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.histograms {
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grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
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|
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.image-size-plot-grid {
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display: grid;
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|
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|
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.image-size-plot-row {
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display: grid;
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grid-template-columns: repeat(2, minmax(0, 1fr));
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gap: 14px;
|
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}
|
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.image-size-plot-row figure:only-child {
|
| 189 |
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grid-column: 1 / -1;
|
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}
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figure {
|
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+
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|
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}
|
| 194 |
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img {
|
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+
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|
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+
height: auto;
|
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display: block;
|
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+
border: 1px solid var(--line);
|
| 199 |
+
border-radius: 6px;
|
| 200 |
+
background: white;
|
| 201 |
+
}
|
| 202 |
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figcaption {
|
| 203 |
+
margin-top: 6px;
|
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+
color: var(--muted);
|
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+
font-size: 13px;
|
| 206 |
+
}
|
| 207 |
+
ul {
|
| 208 |
+
margin: 12px 0 0;
|
| 209 |
+
padding-left: 20px;
|
| 210 |
+
}
|
| 211 |
+
.artifact-links {
|
| 212 |
+
display: flex;
|
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+
flex-wrap: wrap;
|
| 214 |
+
gap: 10px;
|
| 215 |
+
margin-top: 12px;
|
| 216 |
+
}
|
| 217 |
+
.artifact-links a {
|
| 218 |
+
display: inline-flex;
|
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+
align-items: center;
|
| 220 |
+
min-height: 28px;
|
| 221 |
+
padding: 3px 9px;
|
| 222 |
+
border: 1px solid var(--line);
|
| 223 |
+
border-radius: 6px;
|
| 224 |
+
background: #fbfcfd;
|
| 225 |
+
text-decoration: none;
|
| 226 |
+
font-size: 13px;
|
| 227 |
+
font-weight: 650;
|
| 228 |
+
}
|
| 229 |
+
details summary {
|
| 230 |
+
cursor: pointer;
|
| 231 |
+
color: var(--accent);
|
| 232 |
+
font-weight: 650;
|
| 233 |
+
}
|
| 234 |
+
@media (max-width: 640px) {
|
| 235 |
+
main {
|
| 236 |
+
width: min(100% - 24px, 1240px);
|
| 237 |
+
padding-top: 20px;
|
| 238 |
+
}
|
| 239 |
+
dl {
|
| 240 |
+
grid-template-columns: 1fr;
|
| 241 |
+
gap: 2px 0;
|
| 242 |
+
}
|
| 243 |
+
.image-size-plot-row {
|
| 244 |
+
grid-template-columns: 1fr;
|
| 245 |
+
}
|
| 246 |
+
dt {
|
| 247 |
+
margin-top: 8px;
|
| 248 |
+
}
|
| 249 |
+
}
|
| 250 |
+
</style>
|
| 251 |
+
</head>
|
| 252 |
+
<body>
|
| 253 |
+
<main>
|
| 254 |
+
<header>
|
| 255 |
+
<h1>Penguin-Recap-I</h1>
|
| 256 |
+
<div class="status-row">
|
| 257 |
+
<span>Created 2026-05-12T18:58:53.319873+00:00</span>
|
| 258 |
+
<span class="badge ok">Token stats: available</span>
|
| 259 |
+
<span class="badge ok">FLOPs: available</span>
|
| 260 |
+
<span class="badge ok">Image sizes: available</span>
|
| 261 |
+
<span class="badge">Dataset analysis v1</span>
|
| 262 |
+
</div>
|
| 263 |
+
</header>
|
| 264 |
+
|
| 265 |
+
<section class="section-stack">
|
| 266 |
+
<div class="panel">
|
| 267 |
+
<h2>Token Statistics</h2>
|
| 268 |
+
<dl>
|
| 269 |
+
<dt>Created</dt>
|
| 270 |
+
<dd>2026-05-12T05:32:45.787054+00:00</dd>
|
| 271 |
+
<dt>Input path</dt>
|
| 272 |
+
<dd><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I</code></dd>
|
| 273 |
+
<dt>Output path</dt>
|
| 274 |
+
<dd><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_stats/Penguin-Recap-I</code></dd>
|
| 275 |
+
<dt>Patch size</dt>
|
| 276 |
+
<dd>16 x 16</dd>
|
| 277 |
+
<dt>Histogram bins</dt>
|
| 278 |
+
<dd>100</dd>
|
| 279 |
+
</dl>
|
| 280 |
+
<div class="artifact-links">
|
| 281 |
+
<a href="assets/summary.csv">summary.csv</a>
|
| 282 |
+
<a href="assets/summary.json">summary.json</a>
|
| 283 |
+
</div>
|
| 284 |
+
</div>
|
| 285 |
+
<div>
|
| 286 |
+
<h2>Token Overview</h2>
|
| 287 |
+
<div class="grid">
|
| 288 |
+
<div class="card">
|
| 289 |
+
<div class="label">Records</div>
|
| 290 |
+
<div class="value">68,581,798</div>
|
| 291 |
+
</div>
|
| 292 |
+
<div class="card">
|
| 293 |
+
<div class="label">Image Samples</div>
|
| 294 |
+
<div class="value">68,581,798</div>
|
| 295 |
+
</div>
|
| 296 |
+
<div class="card">
|
| 297 |
+
<div class="label">Images</div>
|
| 298 |
+
<div class="value">68,581,798</div>
|
| 299 |
+
</div>
|
| 300 |
+
<div class="card">
|
| 301 |
+
<div class="label">Invalid Image Entries</div>
|
| 302 |
+
<div class="value">0</div>
|
| 303 |
+
</div>
|
| 304 |
+
</div>
|
| 305 |
+
</div>
|
| 306 |
+
<div>
|
| 307 |
+
<h2>Token Metrics</h2>
|
| 308 |
+
<div class="table-wrap">
|
| 309 |
+
<table>
|
| 310 |
+
<thead>
|
| 311 |
+
<tr>
|
| 312 |
+
<th>Metric</th>
|
| 313 |
+
<th>Count</th>
|
| 314 |
+
<th>Total</th>
|
| 315 |
+
<th>Average</th>
|
| 316 |
+
<th>P0</th>
|
| 317 |
+
<th>P25</th>
|
| 318 |
+
<th>P50</th>
|
| 319 |
+
<th>P75</th>
|
| 320 |
+
<th>P90</th>
|
| 321 |
+
<th>P99</th>
|
| 322 |
+
<th>P100</th>
|
| 323 |
+
</tr>
|
| 324 |
+
</thead>
|
| 325 |
+
<tbody>
|
| 326 |
+
<tr><td>Text Tokens</td><td>68,581,798</td><td>22,339,013,249</td><td>326</td><td>90</td><td>264</td><td>312</td><td>370</td><td>434</td><td>628</td><td>61,974</td></tr>
|
| 327 |
+
<tr><td>Image Tokens</td><td>68,581,798</td><td>120,282,893,521</td><td>1,754</td><td>81</td><td>361</td><td>1,024</td><td>1,632</td><td>3,174</td><td>15,352</td><td>695,556</td></tr>
|
| 328 |
+
<tr><td>Total Tokens</td><td>68,581,798</td><td>142,621,906,770</td><td>2,080</td><td>187</td><td>680</td><td>1,318</td><td>2,017</td><td>3,531</td><td>15,727</td><td>695,722</td></tr>
|
| 329 |
+
</tbody>
|
| 330 |
+
</table>
|
| 331 |
+
</div>
|
| 332 |
+
</div>
|
| 333 |
+
<div>
|
| 334 |
+
<h2>Token Histograms</h2>
|
| 335 |
+
<div class="section-stack">
|
| 336 |
+
<article class="panel">
|
| 337 |
+
<h3>Text Tokens</h3>
|
| 338 |
+
<div class="histograms">
|
| 339 |
+
<figure>
|
| 340 |
+
<img src="assets/text_tokens_histogram_full.png" alt="Text Tokens full range histogram">
|
| 341 |
+
<figcaption>Full range</figcaption>
|
| 342 |
+
</figure><figure>
|
| 343 |
+
<img src="assets/text_tokens_histogram_p0_p99.png" alt="Text Tokens p0-p99 range histogram">
|
| 344 |
+
<figcaption>P0-P99 range</figcaption>
|
| 345 |
+
</figure>
|
| 346 |
+
</div>
|
| 347 |
+
</article>
|
| 348 |
+
<article class="panel">
|
| 349 |
+
<h3>Image Tokens</h3>
|
| 350 |
+
<div class="histograms">
|
| 351 |
+
<figure>
|
| 352 |
+
<img src="assets/image_tokens_histogram_full.png" alt="Image Tokens full range histogram">
|
| 353 |
+
<figcaption>Full range</figcaption>
|
| 354 |
+
</figure><figure>
|
| 355 |
+
<img src="assets/image_tokens_histogram_p0_p99.png" alt="Image Tokens p0-p99 range histogram">
|
| 356 |
+
<figcaption>P0-P99 range</figcaption>
|
| 357 |
+
</figure>
|
| 358 |
+
</div>
|
| 359 |
+
</article>
|
| 360 |
+
<article class="panel">
|
| 361 |
+
<h3>Total Tokens</h3>
|
| 362 |
+
<div class="histograms">
|
| 363 |
+
<figure>
|
| 364 |
+
<img src="assets/total_tokens_histogram_full.png" alt="Total Tokens full range histogram">
|
| 365 |
+
<figcaption>Full range</figcaption>
|
| 366 |
+
</figure><figure>
|
| 367 |
+
<img src="assets/total_tokens_histogram_p0_p99.png" alt="Total Tokens p0-p99 range histogram">
|
| 368 |
+
<figcaption>P0-P99 range</figcaption>
|
| 369 |
+
</figure>
|
| 370 |
+
</div>
|
| 371 |
+
</article>
|
| 372 |
+
</div>
|
| 373 |
+
</div>
|
| 374 |
+
</section>
|
| 375 |
+
<section class="section-stack">
|
| 376 |
+
<div class="panel">
|
| 377 |
+
<h2>FLOPs Estimates</h2>
|
| 378 |
+
<dl>
|
| 379 |
+
<dt>Created</dt>
|
| 380 |
+
<dd>2026-05-12T05:42:22.264394+00:00</dd>
|
| 381 |
+
<dt>Input path</dt>
|
| 382 |
+
<dd><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I</code></dd>
|
| 383 |
+
<dt>Output path</dt>
|
| 384 |
+
<dd><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/flops_estimation/Penguin-Recap-I</code></dd>
|
| 385 |
+
<dt>Patch size</dt>
|
| 386 |
+
<dd>16 x 16</dd>
|
| 387 |
+
<dt>Epochs</dt>
|
| 388 |
+
<dd>1</dd>
|
| 389 |
+
<dt>MFU</dt>
|
| 390 |
+
<dd>0.4</dd>
|
| 391 |
+
<dt>Remat multiplier</dt>
|
| 392 |
+
<dd>1</dd>
|
| 393 |
+
<dt>Attention mode</dt>
|
| 394 |
+
<dd>both</dd>
|
| 395 |
+
<dt>Total tokens</dt>
|
| 396 |
+
<dd>142,621,906,770</dd>
|
| 397 |
+
<dt>Sum seq len squared</dt>
|
| 398 |
+
<dd>1,558,116,900,435,210</dd>
|
| 399 |
+
</dl>
|
| 400 |
+
<div class="artifact-links">
|
| 401 |
+
<a href="assets/estimates.csv">estimates.csv</a>
|
| 402 |
+
<a href="assets/estimates.json">estimates.json</a>
|
| 403 |
+
</div>
|
| 404 |
+
</div>
|
| 405 |
+
<div>
|
| 406 |
+
<h2>FLOPS and Cost Estimates</h2>
|
| 407 |
+
<div class="table-wrap">
|
| 408 |
+
<table>
|
| 409 |
+
<thead>
|
| 410 |
+
<tr>
|
| 411 |
+
<th>Model</th>
|
| 412 |
+
<th>Hardware</th>
|
| 413 |
+
<th>Attention</th>
|
| 414 |
+
<th>Total FLOPs</th>
|
| 415 |
+
<th>6ND FLOPs</th>
|
| 416 |
+
<th>Attn FLOPs</th>
|
| 417 |
+
<th>Hours</th>
|
| 418 |
+
<th>GPU-hours</th>
|
| 419 |
+
<th>Cost</th>
|
| 420 |
+
<th>Params</th>
|
| 421 |
+
<th>Layers</th>
|
| 422 |
+
<th>d_model</th>
|
| 423 |
+
</tr>
|
| 424 |
+
</thead>
|
| 425 |
+
<tbody>
|
| 426 |
+
<tr><td>Qwen/Qwen3-0.6B</td><td>8xa100</td><td>causal</td><td>781.485 EFLOPS</td><td>513.439 EFLOPS</td><td>268.046 EFLOPS</td><td>217.427</td><td>1,739.416</td><td>N/A</td><td>600M</td><td>28</td><td>1,024</td></tr>
|
| 427 |
+
<tr><td>Qwen/Qwen3-0.6B</td><td>8xh100</td><td>causal</td><td>781.485 EFLOPS</td><td>513.439 EFLOPS</td><td>268.046 EFLOPS</td><td>68.557</td><td>548.457</td><td>N/A</td><td>600M</td><td>28</td><td>1,024</td></tr>
|
| 428 |
+
<tr><td>Qwen/Qwen3-0.6B</td><td>8xb200</td><td>causal</td><td>781.485 EFLOPS</td><td>513.439 EFLOPS</td><td>268.046 EFLOPS</td><td>30.150</td><td>241.199</td><td>N/A</td><td>600M</td><td>28</td><td>1,024</td></tr>
|
| 429 |
+
<tr><td>Qwen/Qwen3-1.7B</td><td>8xa100</td><td>causal</td><td>1.991 ZFLOPS</td><td>1.455 ZFLOPS</td><td>536.092 EFLOPS</td><td>553.896</td><td>4,431.168</td><td>N/A</td><td>1.7B</td><td>28</td><td>2,048</td></tr>
|
| 430 |
+
<tr><td>Qwen/Qwen3-1.7B</td><td>8xh100</td><td>causal</td><td>1.991 ZFLOPS</td><td>1.455 ZFLOPS</td><td>536.092 EFLOPS</td><td>174.649</td><td>1,397.195</td><td>N/A</td><td>1.7B</td><td>28</td><td>2,048</td></tr>
|
| 431 |
+
<tr><td>Qwen/Qwen3-1.7B</td><td>8xb200</td><td>causal</td><td>1.991 ZFLOPS</td><td>1.455 ZFLOPS</td><td>536.092 EFLOPS</td><td>76.807</td><td>614.455</td><td>N/A</td><td>1.7B</td><td>28</td><td>2,048</td></tr>
|
| 432 |
+
<tr><td>Qwen/Qwen3-4B</td><td>8xa100</td><td>causal</td><td>4.285 ZFLOPS</td><td>3.423 ZFLOPS</td><td>861.576 EFLOPS</td><td>1,192.047</td><td>9,536.374</td><td>N/A</td><td>4B</td><td>36</td><td>2,560</td></tr>
|
| 433 |
+
<tr><td>Qwen/Qwen3-4B</td><td>8xh100</td><td>causal</td><td>4.285 ZFLOPS</td><td>3.423 ZFLOPS</td><td>861.576 EFLOPS</td><td>375.865</td><td>3,006.921</td><td>N/A</td><td>4B</td><td>36</td><td>2,560</td></tr>
|
| 434 |
+
<tr><td>Qwen/Qwen3-4B</td><td>8xb200</td><td>causal</td><td>4.285 ZFLOPS</td><td>3.423 ZFLOPS</td><td>861.576 EFLOPS</td><td>165.297</td><td>1,322.377</td><td>N/A</td><td>4B</td><td>36</td><td>2,560</td></tr>
|
| 435 |
+
<tr><td>Qwen/Qwen3-8B</td><td>8xa100</td><td>causal</td><td>8.224 ZFLOPS</td><td>6.846 ZFLOPS</td><td>1.379 ZFLOPS</td><td>2,288.209</td><td>18,305.675</td><td>N/A</td><td>8B</td><td>36</td><td>4,096</td></tr>
|
| 436 |
+
<tr><td>Qwen/Qwen3-8B</td><td>8xh100</td><td>causal</td><td>8.224 ZFLOPS</td><td>6.846 ZFLOPS</td><td>1.379 ZFLOPS</td><td>721.497</td><td>5,771.976</td><td>N/A</td><td>8B</td><td>36</td><td>4,096</td></tr>
|
| 437 |
+
<tr><td>Qwen/Qwen3-8B</td><td>8xb200</td><td>causal</td><td>8.224 ZFLOPS</td><td>6.846 ZFLOPS</td><td>1.379 ZFLOPS</td><td>317.298</td><td>2,538.387</td><td>N/A</td><td>8B</td><td>36</td><td>4,096</td></tr>
|
| 438 |
+
<tr><td>Qwen/Qwen3-0.6B</td><td>8xa100</td><td>bidirectional</td><td>1.05 ZFLOPS</td><td>513.439 EFLOPS</td><td>536.092 EFLOPS</td><td>292.004</td><td>2,336.028</td><td>N/A</td><td>600M</td><td>28</td><td>1,024</td></tr>
|
| 439 |
+
<tr><td>Qwen/Qwen3-0.6B</td><td>8xh100</td><td>bidirectional</td><td>1.05 ZFLOPS</td><td>513.439 EFLOPS</td><td>536.092 EFLOPS</td><td>92.072</td><td>736.575</td><td>N/A</td><td>600M</td><td>28</td><td>1,024</td></tr>
|
| 440 |
+
<tr><td>Qwen/Qwen3-0.6B</td><td>8xb200</td><td>bidirectional</td><td>1.05 ZFLOPS</td><td>513.439 EFLOPS</td><td>536.092 EFLOPS</td><td>40.491</td><td>323.929</td><td>N/A</td><td>600M</td><td>28</td><td>1,024</td></tr>
|
| 441 |
+
<tr><td>Qwen/Qwen3-1.7B</td><td>8xa100</td><td>bidirectional</td><td>2.527 ZFLOPS</td><td>1.455 ZFLOPS</td><td>1.072 ZFLOPS</td><td>703.049</td><td>5,624.393</td><td>N/A</td><td>1.7B</td><td>28</td><td>2,048</td></tr>
|
| 442 |
+
<tr><td>Qwen/Qwen3-1.7B</td><td>8xh100</td><td>bidirectional</td><td>2.527 ZFLOPS</td><td>1.455 ZFLOPS</td><td>1.072 ZFLOPS</td><td>221.679</td><td>1,773.432</td><td>N/A</td><td>1.7B</td><td>28</td><td>2,048</td></tr>
|
| 443 |
+
<tr><td>Qwen/Qwen3-1.7B</td><td>8xb200</td><td>bidirectional</td><td>2.527 ZFLOPS</td><td>1.455 ZFLOPS</td><td>1.072 ZFLOPS</td><td>97.489</td><td>779.916</td><td>N/A</td><td>1.7B</td><td>28</td><td>2,048</td></tr>
|
| 444 |
+
<tr><td>Qwen/Qwen3-4B</td><td>8xa100</td><td>bidirectional</td><td>5.146 ZFLOPS</td><td>3.423 ZFLOPS</td><td>1.723 ZFLOPS</td><td>1,431.757</td><td>11,454.056</td><td>N/A</td><td>4B</td><td>36</td><td>2,560</td></tr>
|
| 445 |
+
<tr><td>Qwen/Qwen3-4B</td><td>8xh100</td><td>bidirectional</td><td>5.146 ZFLOPS</td><td>3.423 ZFLOPS</td><td>1.723 ZFLOPS</td><td>451.448</td><td>3,611.587</td><td>N/A</td><td>4B</td><td>36</td><td>2,560</td></tr>
|
| 446 |
+
<tr><td>Qwen/Qwen3-4B</td><td>8xb200</td><td>bidirectional</td><td>5.146 ZFLOPS</td><td>3.423 ZFLOPS</td><td>1.723 ZFLOPS</td><td>198.537</td><td>1,588.296</td><td>N/A</td><td>4B</td><td>36</td><td>2,560</td></tr>
|
| 447 |
+
<tr><td>Qwen/Qwen3-8B</td><td>8xa100</td><td>bidirectional</td><td>9.603 ZFLOPS</td><td>6.846 ZFLOPS</td><td>2.757 ZFLOPS</td><td>2,671.746</td><td>21,373.967</td><td>N/A</td><td>8B</td><td>36</td><td>4,096</td></tr>
|
| 448 |
+
<tr><td>Qwen/Qwen3-8B</td><td>8xh100</td><td>bidirectional</td><td>9.603 ZFLOPS</td><td>6.846 ZFLOPS</td><td>2.757 ZFLOPS</td><td>842.430</td><td>6,739.442</td><td>N/A</td><td>8B</td><td>36</td><td>4,096</td></tr>
|
| 449 |
+
<tr><td>Qwen/Qwen3-8B</td><td>8xb200</td><td>bidirectional</td><td>9.603 ZFLOPS</td><td>6.846 ZFLOPS</td><td>2.757 ZFLOPS</td><td>370.482</td><td>2,963.857</td><td>N/A</td><td>8B</td><td>36</td><td>4,096</td></tr>
|
| 450 |
+
</tbody>
|
| 451 |
+
</table>
|
| 452 |
+
</div>
|
| 453 |
+
</div>
|
| 454 |
+
<div>
|
| 455 |
+
<h2>FLOPS Units</h2>
|
| 456 |
+
<div class="table-wrap">
|
| 457 |
+
<table>
|
| 458 |
+
<thead>
|
| 459 |
+
<tr>
|
| 460 |
+
<th>Unit</th>
|
| 461 |
+
<th>Power</th>
|
| 462 |
+
<th>Meaning</th>
|
| 463 |
+
</tr>
|
| 464 |
+
</thead>
|
| 465 |
+
<tbody>
|
| 466 |
+
<tr><td>KFLOPS</td><td>10^3</td><td>Thousands of FLOPs</td></tr>
|
| 467 |
+
<tr><td>MFLOPS</td><td>10^6</td><td>Millions of FLOPs</td></tr>
|
| 468 |
+
<tr><td>GFLOPS</td><td>10^9</td><td>Billions of FLOPs</td></tr>
|
| 469 |
+
<tr><td>TFLOPS</td><td>10^12</td><td>Trillions of FLOPs</td></tr>
|
| 470 |
+
<tr><td>PFLOPS</td><td>10^15</td><td>Quadrillions of FLOPs</td></tr>
|
| 471 |
+
<tr><td>EFLOPS</td><td>10^18</td><td>Quintillions of FLOPs</td></tr>
|
| 472 |
+
<tr><td>ZFLOPS</td><td>10^21</td><td>Sextillions of FLOPs</td></tr>
|
| 473 |
+
<tr><td>YFLOPS</td><td>10^24</td><td>Septillions of FLOPs</td></tr>
|
| 474 |
+
</tbody>
|
| 475 |
+
</table>
|
| 476 |
+
</div>
|
| 477 |
+
</div>
|
| 478 |
+
</section>
|
| 479 |
+
<section class="section-stack">
|
| 480 |
+
<div class="panel">
|
| 481 |
+
<h2>Image Size Statistics</h2>
|
| 482 |
+
<dl>
|
| 483 |
+
<dt>Created</dt>
|
| 484 |
+
<dd>2026-05-12T05:37:24.781682+00:00</dd>
|
| 485 |
+
<dt>Input path</dt>
|
| 486 |
+
<dd><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I</code></dd>
|
| 487 |
+
<dt>Output path</dt>
|
| 488 |
+
<dd><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/image_size_stats/Penguin-Recap-I</code></dd>
|
| 489 |
+
<dt>Histogram bins</dt>
|
| 490 |
+
<dd>100</dd>
|
| 491 |
+
<dt>Line max points</dt>
|
| 492 |
+
<dd>20,000</dd>
|
| 493 |
+
<dt>Script version</dt>
|
| 494 |
+
<dd>2</dd>
|
| 495 |
+
</dl>
|
| 496 |
+
<div class="artifact-links">
|
| 497 |
+
<a href="assets/image_size_stats/aspect_ratio_histogram_full.png">aspect_ratio_histogram_full.png</a>
|
| 498 |
+
<a href="assets/image_size_stats/aspect_ratio_histogram_p0_p99.png">aspect_ratio_histogram_p0_p99.png</a>
|
| 499 |
+
<a href="assets/image_size_stats/aspect_ratio_sorted_line_full.png">aspect_ratio_sorted_line_full.png</a>
|
| 500 |
+
<a href="assets/image_size_stats/aspect_ratio_sorted_line_p0_p99.png">aspect_ratio_sorted_line_p0_p99.png</a>
|
| 501 |
+
<a href="assets/image_size_stats/height_histogram_full.png">height_histogram_full.png</a>
|
| 502 |
+
<a href="assets/image_size_stats/height_histogram_p0_p99.png">height_histogram_p0_p99.png</a>
|
| 503 |
+
<a href="assets/image_size_stats/height_sorted_line_full.png">height_sorted_line_full.png</a>
|
| 504 |
+
<a href="assets/image_size_stats/height_sorted_line_p0_p99.png">height_sorted_line_p0_p99.png</a>
|
| 505 |
+
<a href="assets/image_size_stats/index.html">index.html</a>
|
| 506 |
+
<a href="assets/image_size_stats/orientation_independent_aspect_ratio_histogram_full.png">orientation_independent_aspect_ratio_histogram_full.png</a>
|
| 507 |
+
<a href="assets/image_size_stats/orientation_independent_aspect_ratio_histogram_p0_p99.png">orientation_independent_aspect_ratio_histogram_p0_p99.png</a>
|
| 508 |
+
<a href="assets/image_size_stats/orientation_independent_aspect_ratio_sorted_line_full.png">orientation_independent_aspect_ratio_sorted_line_full.png</a>
|
| 509 |
+
<a href="assets/image_size_stats/orientation_independent_aspect_ratio_sorted_line_p0_p99.png">orientation_independent_aspect_ratio_sorted_line_p0_p99.png</a>
|
| 510 |
+
<a href="assets/image_size_stats/summary.csv">summary.csv</a>
|
| 511 |
+
<a href="assets/image_size_stats/summary.json">summary.json</a>
|
| 512 |
+
<a href="assets/image_size_stats/total_pixels_histogram_full.png">total_pixels_histogram_full.png</a>
|
| 513 |
+
<a href="assets/image_size_stats/total_pixels_histogram_p0_p99.png">total_pixels_histogram_p0_p99.png</a>
|
| 514 |
+
<a href="assets/image_size_stats/total_pixels_sorted_line_full.png">total_pixels_sorted_line_full.png</a>
|
| 515 |
+
<a href="assets/image_size_stats/total_pixels_sorted_line_p0_p99.png">total_pixels_sorted_line_p0_p99.png</a>
|
| 516 |
+
<a href="assets/image_size_stats/width_histogram_full.png">width_histogram_full.png</a>
|
| 517 |
+
<a href="assets/image_size_stats/width_histogram_p0_p99.png">width_histogram_p0_p99.png</a>
|
| 518 |
+
<a href="assets/image_size_stats/width_sorted_line_full.png">width_sorted_line_full.png</a>
|
| 519 |
+
<a href="assets/image_size_stats/width_sorted_line_p0_p99.png">width_sorted_line_p0_p99.png</a>
|
| 520 |
+
</div>
|
| 521 |
+
</div>
|
| 522 |
+
|
| 523 |
+
<div>
|
| 524 |
+
<h2>Image Size Overview</h2>
|
| 525 |
+
<div class="grid">
|
| 526 |
+
<div class="card">
|
| 527 |
+
<div class="label">Records</div>
|
| 528 |
+
<div class="value">68,581,798</div>
|
| 529 |
+
</div>
|
| 530 |
+
<div class="card">
|
| 531 |
+
<div class="label">Image Samples</div>
|
| 532 |
+
<div class="value">68,581,798</div>
|
| 533 |
+
</div>
|
| 534 |
+
<div class="card">
|
| 535 |
+
<div class="label">Images</div>
|
| 536 |
+
<div class="value">68,581,798</div>
|
| 537 |
+
</div>
|
| 538 |
+
<div class="card">
|
| 539 |
+
<div class="label">Invalid Image Entries</div>
|
| 540 |
+
<div class="value">0</div>
|
| 541 |
+
</div>
|
| 542 |
+
</div>
|
| 543 |
+
</div>
|
| 544 |
+
<div>
|
| 545 |
+
<h2>Image Size Metrics</h2>
|
| 546 |
+
<div class="table-wrap">
|
| 547 |
+
<table>
|
| 548 |
+
<thead>
|
| 549 |
+
<tr>
|
| 550 |
+
<th>Metric</th>
|
| 551 |
+
<th>Count</th>
|
| 552 |
+
<th>Total</th>
|
| 553 |
+
<th>Average</th>
|
| 554 |
+
<th>P0</th>
|
| 555 |
+
<th>P25</th>
|
| 556 |
+
<th>P50</th>
|
| 557 |
+
<th>P75</th>
|
| 558 |
+
<th>P90</th>
|
| 559 |
+
<th>P99</th>
|
| 560 |
+
<th>P100</th>
|
| 561 |
+
</tr>
|
| 562 |
+
</thead>
|
| 563 |
+
<tbody>
|
| 564 |
+
<tr><td>Height</td><td>68,581,798</td><td>35,802,001,526</td><td>522.03</td><td>129</td><td>300</td><td>476</td><td>608</td><td>900</td><td>2,000</td><td>24,933</td></tr>
|
| 565 |
+
<tr><td>Width</td><td>68,581,798</td><td>41,413,490,108</td><td>603.86</td><td>129</td><td>300</td><td>512</td><td>768</td><td>1,024</td><td>2,048</td><td>19,348</td></tr>
|
| 566 |
+
<tr><td>Aspect Ratio (w:h)</td><td>68,581,798</td><td>83,067,688.27</td><td>1.21</td><td>0.03</td><td>1</td><td>1.12</td><td>1.50</td><td>1.74</td><td>2.42</td><td>31.23</td></tr>
|
| 567 |
+
<tr><td>Max/Min Aspect Ratio</td><td>68,581,798</td><td>93,331,609.08</td><td>1.36</td><td>1</td><td>1</td><td>1.33</td><td>1.50</td><td>1.78</td><td>2.56</td><td>39.98</td></tr>
|
| 568 |
+
<tr><td>Total Pixels</td><td>68,581,798</td><td>30,406,864,596,130</td><td>443,366.40</td><td>16,641</td><td>90,000</td><td>250,000</td><td>410,700</td><td>804,760</td><td>3,901,440.30</td><td>177,768,889</td></tr>
|
| 569 |
+
</tbody>
|
| 570 |
+
</table>
|
| 571 |
+
</div>
|
| 572 |
+
</div>
|
| 573 |
+
<div>
|
| 574 |
+
<h2>Image Size Plots</h2>
|
| 575 |
+
<div class="section-stack">
|
| 576 |
+
<article class="panel">
|
| 577 |
+
<h3>Height</h3>
|
| 578 |
+
<div class="image-size-plot-grid">
|
| 579 |
+
<div class="image-size-plot-row"><figure>
|
| 580 |
+
<img src="assets/image_size_stats/height_histogram_full.png" alt="Height P0-P100 histogram">
|
| 581 |
+
<figcaption>Histogram, P0-P100 range</figcaption>
|
| 582 |
+
</figure><figure>
|
| 583 |
+
<img src="assets/image_size_stats/height_histogram_p0_p99.png" alt="Height P0-P99 histogram">
|
| 584 |
+
<figcaption>Histogram, P0-P99 range</figcaption>
|
| 585 |
+
</figure></div><div class="image-size-plot-row"><figure>
|
| 586 |
+
<img src="assets/image_size_stats/height_sorted_line_full.png" alt="Height P0-P100 sorted line">
|
| 587 |
+
<figcaption>Sorted values, P0-P100 range</figcaption>
|
| 588 |
+
</figure><figure>
|
| 589 |
+
<img src="assets/image_size_stats/height_sorted_line_p0_p99.png" alt="Height P0-P99 sorted line">
|
| 590 |
+
<figcaption>Sorted values, P0-P99 range</figcaption>
|
| 591 |
+
</figure></div>
|
| 592 |
+
</div>
|
| 593 |
+
</article>
|
| 594 |
+
<article class="panel">
|
| 595 |
+
<h3>Width</h3>
|
| 596 |
+
<div class="image-size-plot-grid">
|
| 597 |
+
<div class="image-size-plot-row"><figure>
|
| 598 |
+
<img src="assets/image_size_stats/width_histogram_full.png" alt="Width P0-P100 histogram">
|
| 599 |
+
<figcaption>Histogram, P0-P100 range</figcaption>
|
| 600 |
+
</figure><figure>
|
| 601 |
+
<img src="assets/image_size_stats/width_histogram_p0_p99.png" alt="Width P0-P99 histogram">
|
| 602 |
+
<figcaption>Histogram, P0-P99 range</figcaption>
|
| 603 |
+
</figure></div><div class="image-size-plot-row"><figure>
|
| 604 |
+
<img src="assets/image_size_stats/width_sorted_line_full.png" alt="Width P0-P100 sorted line">
|
| 605 |
+
<figcaption>Sorted values, P0-P100 range</figcaption>
|
| 606 |
+
</figure><figure>
|
| 607 |
+
<img src="assets/image_size_stats/width_sorted_line_p0_p99.png" alt="Width P0-P99 sorted line">
|
| 608 |
+
<figcaption>Sorted values, P0-P99 range</figcaption>
|
| 609 |
+
</figure></div>
|
| 610 |
+
</div>
|
| 611 |
+
</article>
|
| 612 |
+
<article class="panel">
|
| 613 |
+
<h3>Aspect Ratio (w:h)</h3>
|
| 614 |
+
<div class="image-size-plot-grid">
|
| 615 |
+
<div class="image-size-plot-row"><figure>
|
| 616 |
+
<img src="assets/image_size_stats/aspect_ratio_histogram_full.png" alt="Aspect Ratio (w:h) P0-P100 histogram">
|
| 617 |
+
<figcaption>Histogram, P0-P100 range</figcaption>
|
| 618 |
+
</figure><figure>
|
| 619 |
+
<img src="assets/image_size_stats/aspect_ratio_histogram_p0_p99.png" alt="Aspect Ratio (w:h) P0-P99 histogram">
|
| 620 |
+
<figcaption>Histogram, P0-P99 range</figcaption>
|
| 621 |
+
</figure></div><div class="image-size-plot-row"><figure>
|
| 622 |
+
<img src="assets/image_size_stats/aspect_ratio_sorted_line_full.png" alt="Aspect Ratio (w:h) P0-P100 sorted line">
|
| 623 |
+
<figcaption>Sorted values, P0-P100 range</figcaption>
|
| 624 |
+
</figure><figure>
|
| 625 |
+
<img src="assets/image_size_stats/aspect_ratio_sorted_line_p0_p99.png" alt="Aspect Ratio (w:h) P0-P99 sorted line">
|
| 626 |
+
<figcaption>Sorted values, P0-P99 range</figcaption>
|
| 627 |
+
</figure></div>
|
| 628 |
+
</div>
|
| 629 |
+
</article>
|
| 630 |
+
<article class="panel">
|
| 631 |
+
<h3>Max/Min Aspect Ratio</h3>
|
| 632 |
+
<div class="image-size-plot-grid">
|
| 633 |
+
<div class="image-size-plot-row"><figure>
|
| 634 |
+
<img src="assets/image_size_stats/orientation_independent_aspect_ratio_histogram_full.png" alt="Max/Min Aspect Ratio P0-P100 histogram">
|
| 635 |
+
<figcaption>Histogram, P0-P100 range</figcaption>
|
| 636 |
+
</figure><figure>
|
| 637 |
+
<img src="assets/image_size_stats/orientation_independent_aspect_ratio_histogram_p0_p99.png" alt="Max/Min Aspect Ratio P0-P99 histogram">
|
| 638 |
+
<figcaption>Histogram, P0-P99 range</figcaption>
|
| 639 |
+
</figure></div><div class="image-size-plot-row"><figure>
|
| 640 |
+
<img src="assets/image_size_stats/orientation_independent_aspect_ratio_sorted_line_full.png" alt="Max/Min Aspect Ratio P0-P100 sorted line">
|
| 641 |
+
<figcaption>Sorted values, P0-P100 range</figcaption>
|
| 642 |
+
</figure><figure>
|
| 643 |
+
<img src="assets/image_size_stats/orientation_independent_aspect_ratio_sorted_line_p0_p99.png" alt="Max/Min Aspect Ratio P0-P99 sorted line">
|
| 644 |
+
<figcaption>Sorted values, P0-P99 range</figcaption>
|
| 645 |
+
</figure></div>
|
| 646 |
+
</div>
|
| 647 |
+
</article>
|
| 648 |
+
<article class="panel">
|
| 649 |
+
<h3>Total Pixels</h3>
|
| 650 |
+
<div class="image-size-plot-grid">
|
| 651 |
+
<div class="image-size-plot-row"><figure>
|
| 652 |
+
<img src="assets/image_size_stats/total_pixels_histogram_full.png" alt="Total Pixels P0-P100 histogram">
|
| 653 |
+
<figcaption>Histogram, P0-P100 range</figcaption>
|
| 654 |
+
</figure><figure>
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| 655 |
+
<img src="assets/image_size_stats/total_pixels_histogram_p0_p99.png" alt="Total Pixels P0-P99 histogram">
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| 656 |
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<figcaption>Histogram, P0-P99 range</figcaption>
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| 657 |
+
</figure></div><div class="image-size-plot-row"><figure>
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| 658 |
+
<img src="assets/image_size_stats/total_pixels_sorted_line_full.png" alt="Total Pixels P0-P100 sorted line">
|
| 659 |
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<figcaption>Sorted values, P0-P100 range</figcaption>
|
| 660 |
+
</figure><figure>
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| 661 |
+
<img src="assets/image_size_stats/total_pixels_sorted_line_p0_p99.png" alt="Total Pixels P0-P99 sorted line">
|
| 662 |
+
<figcaption>Sorted values, P0-P99 range</figcaption>
|
| 663 |
+
</figure></div>
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| 664 |
+
</div>
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| 665 |
+
</article>
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| 666 |
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</div>
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+
</div>
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| 668 |
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<div class="panel">
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| 669 |
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<details>
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| 670 |
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<summary>Input files (288)</summary>
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| 671 |
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<ul>
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| 672 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000000_data__datacomp_coyo_penguin__000000_a501a707f3.jsonl</code></li>
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| 673 |
+
<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000001_data__datacomp_coyo_penguin__000001_0246dfa1e4.jsonl</code></li>
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| 674 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000002_data__datacomp_coyo_penguin__000002_b96c33c6c7.jsonl</code></li>
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| 675 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000003_data__datacomp_coyo_penguin__000003_fc6bf7bece.jsonl</code></li>
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| 676 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000004_data__datacomp_coyo_penguin__000004_a113ae3c35.jsonl</code></li>
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| 677 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000005_data__datacomp_coyo_penguin__000005_417a6fb1c1.jsonl</code></li>
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| 678 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000006_data__datacomp_coyo_penguin__000006_eaf196edb4.jsonl</code></li>
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| 679 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000007_data__datacomp_coyo_penguin__000007_11690484ea.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000008_data__datacomp_coyo_penguin__000008_19f4cb3a9a.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000009_data__datacomp_coyo_penguin__000009_28579b4311.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000010_data__datacomp_coyo_penguin__000010_ee770df1ec.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000011_data__datacomp_coyo_penguin__000011_50f197733c.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000012_data__datacomp_coyo_penguin__000012_c4dcc99137.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000013_data__datacomp_coyo_penguin__000013_1aaf8a8f21.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000014_data__datacomp_coyo_penguin__000014_135d3d458d.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000015_data__datacomp_coyo_penguin__000015_0952c2310f.jsonl</code></li>
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| 688 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000016_data__datacomp_coyo_penguin__000016_24013b195d.jsonl</code></li>
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| 689 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000017_data__datacomp_coyo_penguin__000017_70a303c5b8.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000018_data__datacomp_coyo_penguin__000018_336b1558de.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000019_data__datacomp_coyo_penguin__000019_6b37352b02.jsonl</code></li>
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| 692 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000020_data__datacomp_coyo_penguin__000020_a43cb45fd8.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000021_data__datacomp_coyo_penguin__000021_bfaf9ca3fd.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000022_data__datacomp_coyo_penguin__000022_caa224f9ac.jsonl</code></li>
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| 695 |
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000023_data__datacomp_coyo_penguin__000023_4e63e004ea.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000024_data__datacomp_coyo_penguin__000024_4fa2bfc157.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000025_data__datacomp_coyo_penguin__000025_431e2f86d1.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000026_data__datacomp_coyo_penguin__000026_411a8405c4.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000027_data__datacomp_coyo_penguin__000027_1f3d7e5c37.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000028_data__datacomp_coyo_penguin__000028_a12d9dddc1.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000029_data__datacomp_coyo_penguin__000029_c4e607d489.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000030_data__datacomp_coyo_penguin__000030_7ae4b70f5d.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000031_data__datacomp_coyo_penguin__000031_eab4e36f92.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000032_data__datacomp_coyo_penguin__000032_d93c8ccbf0.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000033_data__datacomp_coyo_penguin__000033_75eb444bfb.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000034_data__datacomp_coyo_penguin__000034_a941dccab6.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000035_data__datacomp_coyo_penguin__000035_207c286370.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000036_data__datacomp_coyo_penguin__000036_e3aa4403c9.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000037_data__datacomp_coyo_penguin__000037_1fccf05d6e.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000038_data__datacomp_coyo_penguin__000038_ca299a061a.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000039_data__datacomp_coyo_penguin__000039_36d3014b96.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000040_data__datacomp_coyo_penguin__000040_14d81bd9ec.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000041_data__datacomp_coyo_penguin__000041_9fb5635d69.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000042_data__datacomp_coyo_penguin__000042_7914f7fc87.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000043_data__datacomp_coyo_penguin__000043_19e510c4bc.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000044_data__datacomp_coyo_penguin__000044_faad5162fb.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000045_data__datacomp_coyo_penguin__000045_99f6c423db.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000046_data__datacomp_coyo_penguin__000046_ba79cd8afb.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000047_data__datacomp_coyo_penguin__000047_85ec8bddfa.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000048_data__datacomp_coyo_penguin__000048_4198ce9845.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000049_data__datacomp_coyo_penguin__000049_25fa27deb5.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000050_data__datacomp_coyo_penguin__000050_6d11902b03.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000051_data__datacomp_coyo_penguin__000051_a390675d8e.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000052_data__datacomp_coyo_penguin__000052_e9b70e12fb.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000053_data__datacomp_coyo_penguin__000053_12faae50b8.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000054_data__datacomp_coyo_penguin__000054_8c49284369.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000055_data__datacomp_coyo_penguin__000055_b30718d1f6.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000056_data__datacomp_coyo_penguin__000056_66c613388d.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000057_data__datacomp_coyo_penguin__000057_6b21cfba18.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000058_data__datacomp_coyo_penguin__000058_975c30e165.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000059_data__datacomp_coyo_penguin__000059_49fee9d09c.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000060_data__datacomp_coyo_penguin__000060_41c4c9ccf2.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000061_data__datacomp_coyo_penguin__000061_31a4328c5e.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000062_data__datacomp_coyo_penguin__000062_6e835da7b1.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000063_data__datacomp_coyo_penguin__000063_562d898eae.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000064_data__datacomp_coyo_penguin__000064_4cfd9c6951.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000065_data__datacomp_coyo_penguin__000065_f2cc0f9e58.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000066_data__datacomp_coyo_penguin__000066_6ec198feae.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000067_data__datacomp_coyo_penguin__000067_733af5680d.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000068_data__datacomp_coyo_penguin__000068_444ae21587.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000069_data__datacomp_coyo_penguin__000069_9d8afeebdd.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000070_data__datacomp_coyo_penguin__000070_d5edb11fce.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000071_data__datacomp_coyo_penguin__000071_1bf8edef38.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000072_data__datacomp_coyo_penguin__000072_6e1d8109f4.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000073_data__datacomp_coyo_penguin__000073_ec5e7e6201.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000074_data__datacomp_coyo_penguin__000074_26adb58a9a.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000075_data__datacomp_coyo_penguin__000075_e6f8a1a9a2.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000076_data__datacomp_coyo_penguin__000076_54b213e005.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000077_data__datacomp_coyo_penguin__000077_c301ebe681.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000078_data__datacomp_coyo_penguin__000078_e5a9bd3fcf.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000079_data__datacomp_coyo_penguin__000079_e15ced2005.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000080_data__datacomp_coyo_penguin__000080_413b290975.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000081_data__datacomp_coyo_penguin__000081_bf5b4a261f.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000082_data__datacomp_coyo_penguin__000082_3803d42a58.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000083_data__datacomp_coyo_penguin__000083_98261dd5e9.jsonl</code></li>
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<li><code>/data/xhuan192/projects/hf-dataset-analyzer/hf-dataset-analyzer/token_count/Penguin-Recap-I/results/000084_data__datacomp_coyo_penguin__000084_0e211c3a3e.jsonl</code></li>
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