---
license: mit
task_categories:
- text-classification
language:
- en
tags:
- wellbeing
- flourishing
- llm
- classification
---
### About the data

These are partial results from [The Geography of Human Flourishing Project](https://i-guide.io/spatial-ai-challenge-2024/accepted-abstracts/) analysis for the years 2010-2023.

This project is one of the 10 national projects awarded within the [Spatial AI-Challange 2024](https://i-guide.io/spatial-ai-challenge-2024/), 
an international initiative at the crossroads of geospatial science and artificial intelligence.

At present only a subset of data for 2010-2012 are present.

Data are in the form of CSV or parquet.

In the datasets, FIPS is the FIPS code for a US state, county is the US county id, according to US Bureau of Census.

This data contain 46 Human Flourishing dimensions plus migration mood and corruption perception.

A reference paper will be uploaded.


## How to get the data with python
```
from datasets import load_dataset

# Load the CSV
df_csv = load_dataset("siacus/flourishing", data_files="flourishingStateYear.csv").to_pandas()

# Load the Parquet
df_parquet = load_dataset("siacus/flourishing", data_files="flourishingStateYear.parquet").to_pandas()
```

## How to get the data with R
There is no direct equivalent to ```datasets::load_dataset()``` from Hugging Face yet, so you can try this:
```
# Load the CSV
library(data.table)
df_csv <- fread("https://huggingface.co/datasets/siacus/flourishing/resolve/main/flourishingStateYear.csv")


# Load the Parquet
library(arrow)
df_parquet <- read_parquet("https://huggingface.co/datasets/siacus/flourishing/resolve/main/flourishingStateYear.parquet")
```