Datasets:
The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 299, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 60, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 2325, in read_schema
file = ParquetFile(
File "/src/services/worker/.venv/lib/python3.9/site-packages/pyarrow/parquet/core.py", line 318, in __init__
self.reader.open(
File "pyarrow/_parquet.pyx", line 1470, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Parquet file size is 5 bytes, smaller than the minimum file footer (8 bytes)
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/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 353, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 304, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
About the data
These are partial results from The Geography of Human Flourishing Project analysis for the years 2010-2023.
This project is one of the 10 national projects awarded within the Spatial AI-Challange 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")
This dataset contains also two shape files archives
cb_2021_us_county_20m.zip taken from here and
cb_2021_us_state_20m.zip taken from here which can be useful to visualize the maps in python.
Unfortunately US Census Bureau web site is stopping download from bots/scripts, so we provide the files here.
To get them from python use this code
import geopandas as gpd
states = gpd.read_file("https://huggingface.co/datasets/siacus/flourishing/resolve/main/cb_2021_us_state_20m.zip")
counties = gpd.read_file("https://huggingface.co/datasets/siacus/flourishing/resolve/main/cb_2021_us_county_20m.zip")
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