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index.html
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<html>
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<!DOCTYPE html>
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<html>
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<head>
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<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
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<title>nyu-mll/glue</title>
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<link rel="preconnect" href="https://fonts.googleapis.com">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link href="https://fonts.googleapis.com/css2?family=Roboto&display=swap" rel="stylesheet">
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css" />
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<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css" />
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<script src="https://unpkg.com/deck.gl@latest/dist.min.js"></script>
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<script src="https://unpkg.com/fflate@0.8.0"></script>
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<style>
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body {
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margin: 0;
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padding: 0;
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overflow: hidden;
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background: #ffffff;
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}
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#deck-container {
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width: 100vw;
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height: 100vh;
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}
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#deck-container canvas {
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z-index: 1;
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background: #ffffff;
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}
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.deck-tooltip {
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font-size: 0.8em;
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font-family: Roboto;
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font-weight: 300;
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color: #000000 !important;
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background-color: #ffffffaa !important;
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border-radius: 12px;
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box-shadow: 2px 3px 10px #aaaaaa44;
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max-width: 25%;
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}
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#loading {
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width: 100%;
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height: 100%;
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top: 0px;
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left: 0px;
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position: absolute;
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display: block;
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z-index: 99
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}
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#loading-image {
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position: absolute;
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top: 45%;
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left: 47.5%;
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z-index: 100
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}
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#title-container {
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position: absolute;
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top: 0;
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left: 0;
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margin: 16px;
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padding: 12px;
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border-radius: 16px;
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line-height: 0.95;
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z-index: 2;
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font-family: Roboto;
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color: #000000;
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background: #ffffffaa;
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box-shadow: 2px 3px 10px #aaaaaa44;
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}
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#search-container{
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position: absolute;
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left: -16px;
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margin: 16px;
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padding: 12px;
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border-radius: 16px;
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z-index: 2;
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font-family: Roboto;
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color: #000000;
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background: #ffffffaa;
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width: fit-content;
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box-shadow: 2px 3px 10px #aaaaaa44;
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}
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input {
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margin: 2px;
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padding: 4px;
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border-radius: 8px;
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color: #000000;
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background: #ffffffdd;
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border: 1px solid #ddddddff;
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transition: 0.5s;
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outline: none;
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}
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input:focus {
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border: 2px solid #555;
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}
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</style>
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</head>
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<body>
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<div id="loading">
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<img id="loading-image" src="https://i.gifer.com/ZKZg.gif" alt="Loading..." width="5%"/>
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</div>
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<div id="title-container">
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<span style="font-family:Roboto;font-size:36pt;color:#000000">
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nyu-mll/glue
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</span><br/>
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<span style="font-family:Roboto;font-size:18pt;color:#777777">
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Data map for the entire <a href='https://huggingface.co/datasets/nyu-mll/glue/viewer/ax/test' target='_blank'>dataset</a> (1104 rows) using the column 'premise'
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</span>
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<div id="search-container">
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<input autocomplete="off" type="search" id="search" placeholder="🔍">
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</div>
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</div>
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<div id="deck-container">
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</div>
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</body>
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<script type="module">
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import { ArrowLoader } from 'https://cdn.jsdelivr.net/npm/@loaders.gl/arrow@4.1.0-alpha.10/+esm'
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import { JSONLoader } from 'https://cdn.jsdelivr.net/npm/@loaders.gl/json@4.0.5/+esm'
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+
const pointDataBase64 = 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|
| 144 |
+
const pointDataBuffer = fflate.strToU8(atob(pointDataBase64), true);
|
| 145 |
+
const pointData = await loaders.parse(pointDataBuffer, ArrowLoader);
|
| 146 |
+
const hoverDataBase64 = 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";
|
| 147 |
+
const hoverDataBuffer = fflate.strToU8(atob(hoverDataBase64), true);
|
| 148 |
+
const unzippedHoverData = fflate.gunzipSync(hoverDataBuffer);
|
| 149 |
+
const hoverData = await loaders.parse(unzippedHoverData, ArrowLoader);
|
| 150 |
+
const labelDataBase64 = "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";
|
| 151 |
+
const labelDataBuffer = fflate.strToU8(atob(labelDataBase64), true);
|
| 152 |
+
const unzippedLabelData = fflate.gunzipSync(labelDataBuffer);
|
| 153 |
+
const labelData = await loaders.parse(unzippedLabelData, JSONLoader);
|
| 154 |
+
|
| 155 |
+
|
| 156 |
+
const DATA = {src: pointData.data, length: pointData.data.x.length}
|
| 157 |
+
|
| 158 |
+
const container = document.getElementById('deck-container');
|
| 159 |
+
const pointLayer = new deck.ScatterplotLayer({
|
| 160 |
+
id: 'dataPointLayer',
|
| 161 |
+
data: DATA,
|
| 162 |
+
getPosition: (object, {index, data}) => {
|
| 163 |
+
return [data.src.x[index], data.src.y[index]];
|
| 164 |
+
},
|
| 165 |
+
|
| 166 |
+
getRadius: 0.1,
|
| 167 |
+
|
| 168 |
+
getFillColor: (object, {index, data}) => {
|
| 169 |
+
return [
|
| 170 |
+
data.src.r[index],
|
| 171 |
+
data.src.g[index],
|
| 172 |
+
data.src.b[index],
|
| 173 |
+
180
|
| 174 |
+
]
|
| 175 |
+
},
|
| 176 |
+
getLineColor: (object, {index, data}) => {
|
| 177 |
+
return [
|
| 178 |
+
data.src.r[index],
|
| 179 |
+
data.src.g[index],
|
| 180 |
+
data.src.b[index],
|
| 181 |
+
32
|
| 182 |
+
]
|
| 183 |
+
},
|
| 184 |
+
getLineColor: [250, 250, 250, 128],
|
| 185 |
+
getLineWidth: 0.001,
|
| 186 |
+
highlightColor: [170, 0, 0, 187],
|
| 187 |
+
lineWidthMaxPixels: 8,
|
| 188 |
+
lineWidthMinPixels: 0.1,
|
| 189 |
+
radiusMaxPixels: 24,
|
| 190 |
+
radiusMinPixels: 0.01,
|
| 191 |
+
radiusUnits: "common",
|
| 192 |
+
lineWidthUnits: "common",
|
| 193 |
+
autoHighlight: true,
|
| 194 |
+
pickable: true,
|
| 195 |
+
stroked: true
|
| 196 |
+
});
|
| 197 |
+
const labelLayer = new deck.TextLayer({
|
| 198 |
+
id: "textLabelLayer",
|
| 199 |
+
data: labelData,
|
| 200 |
+
pickable: false,
|
| 201 |
+
getPosition: d => [d.x, d.y],
|
| 202 |
+
getText: d => d.label,
|
| 203 |
+
getColor: d => [d.r, d.g, d.b],
|
| 204 |
+
getSize: d => d.size,
|
| 205 |
+
sizeScale: 1,
|
| 206 |
+
sizeMinPixels: 18,
|
| 207 |
+
sizeMaxPixels: 36,
|
| 208 |
+
outlineWidth: 8,
|
| 209 |
+
outlineColor: [238, 238, 238, 221],
|
| 210 |
+
getBackgroundColor: [255, 255, 255, 64],
|
| 211 |
+
getBackgroundPadding: [15, 15, 15, 15],
|
| 212 |
+
background: true,
|
| 213 |
+
characterSet: "auto",
|
| 214 |
+
fontFamily: "Roboto",
|
| 215 |
+
fontWeight: 900,
|
| 216 |
+
lineHeight: 0.95,
|
| 217 |
+
fontSettings: {"sdf": true},
|
| 218 |
+
getTextAnchor: "middle",
|
| 219 |
+
getAlignmentBaseline: "center",
|
| 220 |
+
lineHeight: 0.95,
|
| 221 |
+
elevation: 100,
|
| 222 |
+
// CollideExtension options
|
| 223 |
+
collisionEnabled: true,
|
| 224 |
+
getCollisionPriority: d => d.size,
|
| 225 |
+
collisionTestProps: {
|
| 226 |
+
sizeScale: 3,
|
| 227 |
+
sizeMaxPixels: 36 * 2,
|
| 228 |
+
sizeMinPixels: 18 * 2
|
| 229 |
+
},
|
| 230 |
+
extensions: [new deck.CollisionFilterExtension()],
|
| 231 |
+
});
|
| 232 |
+
|
| 233 |
+
|
| 234 |
+
const deckgl = new deck.DeckGL({
|
| 235 |
+
container: container,
|
| 236 |
+
initialViewState: {
|
| 237 |
+
latitude: -0.035949085,
|
| 238 |
+
longitude: 0.3189531,
|
| 239 |
+
zoom: 5.480462887131676
|
| 240 |
+
},
|
| 241 |
+
controller: true,
|
| 242 |
+
|
| 243 |
+
layers: [pointLayer, labelLayer],
|
| 244 |
+
|
| 245 |
+
|
| 246 |
+
getTooltip: ({index}) => hoverData.data.hover_text[index]
|
| 247 |
+
});
|
| 248 |
+
|
| 249 |
+
document.getElementById("loading").style.display = "none";
|
| 250 |
+
|
| 251 |
+
|
| 252 |
+
function selectPoints(item, conditional) {
|
| 253 |
+
var layerId;
|
| 254 |
+
if (item) {
|
| 255 |
+
for (var i = 0; i < DATA.length; i++) {
|
| 256 |
+
if (conditional(i)) {
|
| 257 |
+
DATA.src.selected[i] = 1;
|
| 258 |
+
} else {
|
| 259 |
+
DATA.src.selected[i] = 0;
|
| 260 |
+
}
|
| 261 |
+
}
|
| 262 |
+
layerId = 'selectedPointLayer' + item;
|
| 263 |
+
} else {
|
| 264 |
+
for (var i = 0; i < DATA.length; i++) {
|
| 265 |
+
DATA.src.selected[i] = 1;
|
| 266 |
+
}
|
| 267 |
+
layerId = 'dataPointLayer';
|
| 268 |
+
}
|
| 269 |
+
const selectedPointLayer = pointLayer.clone(
|
| 270 |
+
{
|
| 271 |
+
id: layerId,
|
| 272 |
+
data: DATA,
|
| 273 |
+
getFilterValue: (object, {index, data}) => data.src.selected[index],
|
| 274 |
+
filterRange: [1, 2],
|
| 275 |
+
extensions: [new deck.DataFilterExtension({filterSize: 1})]
|
| 276 |
+
}
|
| 277 |
+
);
|
| 278 |
+
deckgl.setProps(
|
| 279 |
+
{layers:
|
| 280 |
+
[selectedPointLayer].concat(deckgl.props.layers.slice(1,))
|
| 281 |
+
}
|
| 282 |
+
);
|
| 283 |
+
}
|
| 284 |
+
|
| 285 |
+
const search = document.getElementById("search");
|
| 286 |
+
search.addEventListener("input", (event) => {
|
| 287 |
+
const search_term = event.target.value.toLowerCase();
|
| 288 |
+
selectPoints(search_term, (i) => hoverData.data.hover_text[i].toLowerCase().includes(search_term));
|
| 289 |
+
}
|
| 290 |
+
);
|
| 291 |
+
|
| 292 |
+
|
| 293 |
+
</script>
|
| 294 |
+
</html>
|