---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- n<1000
task_categories:
- text-generation
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*.parquet
  features:
  - name: filename
    dtype: string
  - name: title
    dtype: string
  - name: code
    dtype: string
  - name: theme
    dtype: string
  - name: chart_types
    dtype: string
  - name: metric_count
    dtype: int32
  - name: has_table
    dtype: bool
  - name: data_source
    dtype: string
  - name: file_size
    dtype: int32
  - name: token_count
    dtype: int32
---
# DataViz HTML Dashboard Dataset

100 HTML dashboard files built with the **dash-viz-kit** library — 10 themes, 12 chart types (ApexCharts + ECharts), zero config, declarative HTML.

## Structure
- `data/train-00000-of-00001.parquet` — Main dataset in Parquet format
- `data/*.csv` — CSV data files used by 15 dashboards
- `README.md` — Dataset card

## Columns
| Column | Type | Description |
|--------|------|-------------|
| filename | string | File name of the dashboard |
| title | string | Human-readable title |
| code | string | Full HTML source code |
| theme | string | Theme name (editorial, midnight-galaxy, etc.) |
| chart_types | string | Semi-colon separated chart types |
| metric_count | int32 | Number of KPI stat cards |
| has_table | bool | Whether a data table is included |
| data_source | string | "inline" or "csv" |
| file_size | int32 | File size in bytes |
| token_count | int32 | Approximate token count |

## Usage
```python
from datasets import load_dataset

dataset = load_dataset("sanjaymalladi/dataviz-html-dataset", split="train")
print(dataset[0]["filename"])
print(dataset[0]["code"][:200])
```

## Domains
- Ab Testing\n- Affiliate Dashboard\n- Ai Metrics\n- Airline Traffic\n- Airport Operations\n- Api Performance\n- Astronomy Dashboard\n- Auction Dashboard\n- Bike Sharing Analytics\n- Box Office\n... and 90 more

## Themes
- **brutalism** — Bold, high-contrast monospace
- **editorial** — Warm serif magazine style
- **midnight-galaxy** — Dark purple cosmic
- **tech-innovation** — Sleek dark blue
- **ocean-depths** — Cool aqua palette
- **sunset-boulevard** — Warm orange/terracotta
- **forest-canopy** — Earthy greens
- **desert-rose** — Soft rose sand
- **arctic-frost** — Cool icy tones
- **golden-hour** — Warm amber tones

## Chart Types
Bar, Line, Area, Donut, Scatter, Heatmap, Radar, Gauge, Candlestick, Funnel, Treemap

## License
MIT