---
annotations_creators:
- machine-generated
language_creators:
- machine-generated
language:
- en
license:
- mit
multilinguality:
- monolingual
size_categories:
- n<100
task_categories:
- text-generation
task_ids:
- language-modeling
---
# Streamlit Dashboard Dataset

80 Streamlit dashboard Python scripts for training code generation models.

## Structure
- `data/train-00000-of-00001.parquet` — Main dataset in Parquet format
- `README.md` — Dataset card

## Columns
| Column | Type | Description |
|--------|------|-------------|
| filename | string | File name of the dashboard |
| title | string | Human-readable title |
| code | string | Full Python source code |
| libraries | string | Semi-colon separated libraries used |
| chart_types | string | Semi-colon separated chart types |
| metric_count | int32 | Number of st.metric() calls |
| has_dataframe | bool | Whether st.dataframe() is used |
| file_size | int32 | File size in bytes |
| token_count | int32 | Approximate token count |

## Usage
```python
from datasets import load_dataset

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

## Domains
Sales, Marketing, Crypto, Health, Weather, Ecommerce, Social Media, Sports, Education, Real Estate, Music, Gaming, Travel, Food, Environment, HR, Projects, Support, Supply Chain, Energy, Transport, Public Health, Demographics, Lab, SEO, Email, CRM, Inventory, Manufacturing, Logistics, Agriculture, Climate, Ocean, Wildlife, Space, Film, Publishing, Podcast, YouTube, Esports, Fitness, Sleep, Mindfulness, NFT, AI, Security, News, University, Restaurant, Astronomy, Stocks, VC, Retail, Pharma, IoT, COVID, Elections, ML Models

## Chart Libraries
- **Plotly** — 75 files (scatter, bar, line, pie, funnel, heatmap, waterfall, polar, etc.)
- **Altair** — 3 files (declarative statistical charts)
- **Streamlit built-in** — 2 files (st.line_chart, st.bar_chart, st.area_chart)