Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ArrowInvalid
Message: JSON parse error: Invalid value. in row 0
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 183, in _generate_tables
df = pandas_read_json(f)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1014, in read
obj = self._get_object_parser(self.data)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1176, in parse
self._parse()
File "/usr/local/lib/python3.12/site-packages/pandas/io/json/_json.py", line 1392, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 362, in __iter__
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 186, in _generate_tables
raise e
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Joshua Project Global Peoples Dataset
Dataset Summary
Demographic, linguistic, and religious data for people groups worldwide, sourced from the Joshua Project API v1.
- 16,382 people groups across 238 countries
- 7,134 languages with Bible translation status
- Enriched Parquet files for fast analysis (95% smaller than JSON)
- Updated December 2025
Supported Tasks
- Geospatial visualization and mapping
- Demographic analysis and clustering
- Linguistic diversity research
- Bible translation gap analysis
- Cross-cultural studies
Languages
Data covers 7,134 languages identified by ISO 639-3 codes.
Dataset Structure
Data Instances
Each record in the enriched dataset looks like:
{
"PeopleID3": 10208,
"PeopNameInCountry": "Tuareg, Air",
"Population": 517000,
"LeastReached": "Y",
"JPScale": 1,
"PrimaryReligion": "Islam",
"country_data": {
"name": "Niger",
"percent_christianity": 1.62,
"total_peoples": 36
},
"language_data": {
"name": "Tamajeq, Tayart",
"bible_status": 4,
"has_jesus_film": "N"
}
}
Data Fields
| Field | Type | Description |
|---|---|---|
PeopleID3 |
int | Unique people-group identifier |
PeopNameInCountry |
str | Name within country context |
ROG3 |
str | 3-letter country code |
ROL3 |
str | 3-letter language code (ISO 639-3) |
Population |
int | Estimated population |
LeastReached |
str | Y / N --under 2% evangelical |
JPScale |
int | 1-5 gospel access scale |
PrimaryReligion |
str | Predominant religion |
PercentEvangelical |
float | Evangelical Christian % |
BibleStatus |
int | Translation completeness (0-5) |
107 total fields per record. See FieldDefinitions.csv for the complete schema.
Data Splits
| Split | Records | Description |
|---|---|---|
| Full (enriched) | 16,382 | All people groups with embedded country/language data |
| Unreached | 7,124 | Least-reached subset (< 2% evangelical) |
Dataset Creation
Source Data
- Provider: Joshua Project via API v1
- API maintainer: Missional Digerati
- Collection date: December 21-23, 2025
- Method: Full API dump via Python fetcher scripts (included in repo)
- Recommended refresh: Quarterly
Considerations for Using the Data
Known biases:
- Data is collected with a Christian missions focus --religious categorizations reflect that lens
- Population figures are estimates, not census data
- Coverage is more detailed for regions with active missions research
Limitations:
- Snapshot from December 2025; populations and percentages change over time
- Religious categories are simplified; doesn't capture pluralism
- Some remote groups have sparse information
Ethical use:
- Not intended for political targeting or discrimination
- Population estimates should be cited as approximations
Additional Information
Licensing
This packaging is MIT-licensed. The underlying data is provided by Joshua Project for research purposes --see joshuaproject.net for their terms.
Citation
@dataset{joshua_project_2025,
title = {Joshua Project Global Peoples Dataset},
author = {Joshua Project},
year = {2025},
url = {https://joshuaproject.net},
note = {Packaged by Luke Steuber, fetched December 2025 via API v1}
}
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