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The dataset generation failed
Error code: DatasetGenerationError
Exception: ValueError
Message: Expected object or value
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 237, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
id string | name string | description string | author string | tags list | category string | html_template string | css_template string | js_on_load string | default_props string | head string | python_code string | repo_url string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
camera-control3-d | Camera Control 3D | A 3D camera control component using Three.js. | multimodalart | [
"3D",
"Image"
] | Input |
<div id="camera-control-wrapper" style="width: 100%; height: 450px; position: relative; background: #1a1a1a; border-radius: 12px; overflow: hidden;">
<div id="prompt-overlay" style="position: absolute; bottom: 10px; left: 50%; transform: translateX(-50%); background: rgba(0,0,0,0.8); padding: 8px 1... |
(() => {
const wrapper = element.querySelector('#camera-control-wrapper');
const promptOverlay = element.querySelector('#prompt-overlay');
// Wait for THREE to load
const initScene = () => {
if (typeof THREE === 'undefined') {
... | {"value":{"azimuth":0,"elevation":0,"distance":1.0},"imageUrl":null} | <script src="https://cdnjs.cloudflare.com/ajax/libs/three.js/r128/three.min.js"></script> | class CameraControl3D(gr.HTML):
"""
A 3D camera control component using Three.js.
Outputs: { azimuth: number, elevation: number, distance: number }
Accepts imageUrl prop to display user's uploaded image on the plane.
"""
def __init__(self, value=None, imageUrl=None, **kwargs):
if value i... | https://huggingface.co/spaces/multimodalart/qwen-image-multiple-angles-3d-camera/ | |
detection-viewer | Detection Viewer | Rich viewer for object detection model outputs | hysts | [] | display | <div class="pose-viewer-container" data-panel-title="Detections" data-list-height="300" data-score-threshold-min="0.0" data-score-threshold-max="1.0" data-keypoint-threshold="0.0" data-keypoint-radius="3">
<script type="application/json" class="pose-data">${value}</script>
<div class="canvas-wrapper">
<canvas><... | .pose-viewer-container {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
user-select: none;
width: 100%;
position: relative;
box-sizing: border-box;
}
/* ── Maximized Overlay ── */
.pose-viewer-container.maximized {
position: fixed;
top: 0;
left: 0;
... | // Guard: skip if already initialized
if (element._poseInitialized) return;
element._poseInitialized = true;
(function () {
"use strict";
var MAX_CANVAS_HEIGHT = 600;
var KEYPOINT_RADIUS = 3;
var HIT_RADIUS = 10;
var MASK_ALPHA = 0.4;
var CONNECTION_ALPHA = 0.7;
var CONNECTION_WIDTH = 2;
... | {"value":"{\"image\": \"https:\/\/huggingface.co\/datasets\/gradio\/custom-html-gallery\/resolve\/main\/assets\/hyst_image.webp\", \"annotations\": [{\"keypoints\": [], \"connections\": [], \"color\": \"#FF0000\", \"label\": \"microwave\", \"bbox\": {\"x\": 1254.9686279296875, \"y\": 732.0140991210938, \"width\": 731.1... | null | class DetectionViewer(gr.HTML):
def __init__(
self,
value: tuple[str | Path | Image.Image | np.ndarray, list[dict[str, Any]]]
| tuple[str | Path | Image.Image | np.ndarray, list[dict[str, Any]], dict[str, Any]]
| None = None,
*,
label: str | None = None,
panel... | https://github.com/hysts/gradio-detection-viewer/ |
contribution-heatmap | Contribution Heatmap | Reusable GitHub-style contribution heatmap | ysharma | [
"Business"
] | Display |
<div class="heatmap-container">
<div class="heatmap-header">
<h2>${(() => {
const total = Object.values(value || {}).reduce((a, b) => a + b, 0);
return '📊 ' + total.toLocaleString() + ' contributions in ' + year;
})()}</h2>
<div class="legend">
<span>Les... |
.heatmap-container {
background: #0d1117;
border-radius: 12px;
padding: 24px;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
color: #c9d1d9;
overflow-x: auto;
}
.heatmap-header {
display: flex; justify-content: space-between; ... |
element.addEventListener('click', (e) => {
if (e.target && e.target.classList.contains('cell') && !e.target.classList.contains('empty')) {
const date = e.target.dataset.date;
const cur = parseInt(e.target.dataset.count) || 0;
const next = cur >= 12 ? 0 : cur + 1;
... | {"value":{"2025-01-01":15,"2025-01-02":10,"2025-01-05":2,"2025-01-06":2,"2025-01-07":3,"2025-01-08":7,"2025-01-13":1,"2025-01-14":3,"2025-01-15":1,"2025-01-17":1,"2025-01-19":5,"2025-01-20":4,"2025-01-22":1,"2025-01-26":2,"2025-01-27":11,"2025-01-28":1,"2025-01-29":2,"2025-02-02":2,"2025-02-04":8,"2025-02-05":2,"2025-0... | class ContributionHeatmap(gr.HTML):
"""Reusable GitHub-style contribution heatmap built on gr.HTML."""
def __init__(self, value=None, year=2025, theme="green",
c0=None, c1=None, c2=None, c3=None, c4=None, **kwargs):
if value is None:
value = {}
# Use explicit c0-c4 ... | https://huggingface.co/spaces/ysharma/github-contribution-heatmap | |
spin-wheel | Spin Wheel | Spin the wheel to win a prize! | ysharma | [] | display | "\n<div class=\"wheel-container\">\n <div class=\"wheel-wrapper\">\n <!-- Pointer -->\n (...TRUNCATED) | "\n .wheel-container {\n font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Robot(...TRUNCATED) | "\n const container = element.querySelector('.wheel-container');\n const wheel = element.query(...TRUNCATED) | "{\"value\":\"\",\"segments_json\":\"[{\\\"label\\\": \\\"\\\\ud83c\\\\udf81 Grand Prize\\\", \\\"co(...TRUNCATED) | null | "class SpinWheel(gr.HTML):\n \"\"\"\n An interactive prize wheel component with:\n - Smooth(...TRUNCATED) | https://huggingface.co/spaces/ysharma/spin-wheel |
star-rating | Star Rating | Click stars to set a rating from 1 to 5 | gradio | [
"input",
"rating",
"stars"
] | input | "<h2>${label} rating:</h2>\n${Array.from({length: 5}, (_, i) => `<img class='${i < value ? '' : 'fad(...TRUNCATED) | "img { height: 50px; display: inline-block; cursor: pointer; }\n.faded { filter: grayscale(100%); op(...TRUNCATED) | "const imgs = element.querySelectorAll('img');\nimgs.forEach((img, index) => {\n img.addEventList(...TRUNCATED) | {"value":3,"label":"Food"} | null | "class StarRating(gr.HTML):\n def __init__(self, label, value=0, **kwargs):\n html_templat(...TRUNCATED) | null |
button-set | Button Set | Multiple buttons that trigger events with click data | gradio | [
"input",
"buttons",
"events"
] | input | <button id='A'>A</button>
<button id='B'>B</button>
<button id='C'>C</button> | "button {\n padding: 10px 20px;\n background-color: #f97316;\n color: white;\n border: n(...TRUNCATED) | "const buttons = element.querySelectorAll('button');\nbuttons.forEach(button => {\n button.addEve(...TRUNCATED) | {} | null | "button_set = gr.HTML(\n html_template=\"\"\"\n <button id='A'>A</button>\n <button id='B'>(...TRUNCATED) | null |
progress-bar | Progress Bar | Interactive progress bar - click the track to set progress | gradio | [
"display",
"progress",
"animation"
] | display | "<div class=\"progress-container\">\n <div class=\"progress-label\">${label}</div>\n <div clas(...TRUNCATED) | ".progress-container { padding: 8px 0; }\n.progress-label { font-weight: 600; margin-bottom: 8px; fo(...TRUNCATED) | "const track = element.querySelector('.progress-track');\ntrack.addEventListener('click', (e) => {\n(...TRUNCATED) | {"value":65,"label":"Upload Progress"} | null | "progress = gr.HTML(\n value=65,\n label=\"Upload Progress\",\n html_template=\"\"\"\n <(...TRUNCATED) | null |
likert-scale | Likert Scale | Agreement scale from Strongly Disagree to Strongly Agree | gradio | [
"input",
"survey",
"scale"
] | input | "<div class=\"likert-container\">\n <div class=\"likert-question\">${question}</div>\n <div cl(...TRUNCATED) | ".likert-container { padding: 8px 0; }\n.likert-question { font-weight: 600; margin-bottom: 16px; fo(...TRUNCATED) | "const radios = element.querySelectorAll('input[type=\"radio\"]');\nradios.forEach(radio => {\n r(...TRUNCATED) | {"value":0,"question":"This component is easy to use"} | null | "class LikertScale(gr.HTML):\n def __init__(self, question=\"Rate this item\", value=0, **kwargs)(...TRUNCATED) | null |
tag-input | Tag Input | Add and remove tags with keyboard input | gradio | [
"input",
"tags",
"text"
] | input | "<div class=\"tag-input-container\">\n <div class=\"tag-list\">\n ${(value || []).map((tag(...TRUNCATED) | ".tag-input-container { padding: 4px 0; }\n.tag-list { display: flex; flex-wrap: wrap; gap: 6px; ali(...TRUNCATED) | "const input = element.querySelector('.tag-text-input');\ninput.addEventListener('keydown', (e) => {(...TRUNCATED) | {"value":["python","gradio","html"]} | null | "class TagInput(gr.HTML):\n def __init__(self, value=None, **kwargs):\n html_template = \"(...TRUNCATED) | null |
colored-checkbox-group | Colored Checkbox Group | Multi-select checkbox group with custom colors per option | gradio | [
"input",
"checkbox",
"color"
] | input | "<div class=\"colored-checkbox-container\">\n ${label ? `<label class=\"container-label\">${label(...TRUNCATED) | ".colored-checkbox-container { border: 1px solid #e5e7eb; border-radius: 12px; padding: 16px; }\n.co(...TRUNCATED) | "const checkboxes = element.querySelectorAll('input[type=\"checkbox\"]');\ncheckboxes.forEach(checkb(...TRUNCATED) | "{\"value\":[],\"choices\":[\"Apple\",\"Banana\",\"Cherry\"],\"colors\":[\"#dc2626\",\"#eab308\",\"#(...TRUNCATED) | null | "class ColoredCheckboxGroup(gr.HTML):\n def __init__(self, choices, *, value=None, colors, label=(...TRUNCATED) | null |
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