| | --- |
| | license: cc0-1.0 |
| | task_categories: |
| | - tabular-classification |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # Outbreak Containment Data |
| |
|
| | Simulated outbreak data for epidemiological modeling. |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | dataset = load_dataset("epidata-research/outbreak-containment-data") |
| | df = dataset["train"].to_pandas() |
| | ``` |
| |
|
| | Or use the provided loader: |
| |
|
| | ```python |
| | from loader import load_data |
| | |
| | df = load_data() |
| | ``` |
| |
|
| | ## Schema |
| |
|
| | ### Metrics |
| |
|
| | | Column | Type | Description | |
| | |--------|------|-------------| |
| | | immune_diversity | float | Normalized metric | |
| | | transmission_coherence | float | Normalized metric | |
| | | healthcare_capacity | float | Normalized metric | |
| | | containment_index | float | Normalized metric | |
| |
|
| | ### Categorical Variables |
| |
|
| | | Column | Type | Description | |
| | |--------|------|-------------| |
| | | pathogen_type | string | Categorical variable | |
| | | region_density | string | Categorical variable | |
| |
|
| | ## Statistics |
| |
|
| | - **Rows**: 1000 |
| | - **Columns**: 6 |
| |
|
| | ## License |
| |
|
| | CC0 1.0 Universal (Public Domain) |
| |
|
| | --- |
| |
|
| | *Note: Homogeneity is the breeding ground of plague.* |
| |
|
