Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: Schema at index 1 was different:
title: string
id: string
licenses: list<item: struct<name: string>>
subtitle: string
description: string
isPrivate: bool
keywords: list<item: string>
vs
iso_639_3: string
name: string
joshua_project: struct<audio_recordings: string, bible_status: int64, bible_year: string, countries: null, gospel_recordings: null, hub: null, indigenous_name: null, jesus_film: string, lang_name: null, people_groups: null, population: null, primary_religion: string, rol3: string, source: string>
glottolog: struct<coordinate_source: string, family_id: string, family_name: string, glottocode: string, latitude: double, longitude: double, macroarea: string, match_count: int64, source: string>
language_history: struct<coordinates: struct<latitude: double, longitude: double>, family_tree: struct<controversy: null, date: int64, depth: int64, description: string, extinct: bool, family_id: string, path: list<item: string>, period: string, period_parsed: struct<end_is_present: bool, end_year: int64, start_year: int64>, region: string, speakers: string, split_info: null, status: string>, iso_639_3: string, language_codes_full: struct<alias_confidence: string, alias_name: string, alias_notes: string, glottocode: null, iso_639_1: string, iso_639_2b: null, iso_639_2t: string, iso_639_3: string, language_type: string, match_method: string, ref_name: string, scope: string, source: string>, name: string, source: string, wikidata_id: string, writing_systems: list<item: string>>
us_indigenous: struct<alternative_names: list<item: string>, classification: string, endonym: string, glottocode: string, id: string, iso_code: string, location: struct<coordinates: struct<lat: double, lng: double>, region: string, states: list<item: string>>, name: string, proposed_relationships: list<item: string>, speakers: struct<count: int64, year: int64>, status: string>
speaker_count: struct<count: int64, metadata: struct<countries: list<item: string>, note: string, people_groups_count: int64>, source: string>
data_sources: list<item: string>
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
for key, example in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
yield new_key, pa.Table.from_batches(chunks_buffer)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
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: Schema at index 1 was different:
title: string
id: string
licenses: list<item: struct<name: string>>
subtitle: string
description: string
isPrivate: bool
keywords: list<item: string>
vs
iso_639_3: string
name: string
joshua_project: struct<audio_recordings: string, bible_status: int64, bible_year: string, countries: null, gospel_recordings: null, hub: null, indigenous_name: null, jesus_film: string, lang_name: null, people_groups: null, population: null, primary_religion: string, rol3: string, source: string>
glottolog: struct<coordinate_source: string, family_id: string, family_name: string, glottocode: string, latitude: double, longitude: double, macroarea: string, match_count: int64, source: string>
language_history: struct<coordinates: struct<latitude: double, longitude: double>, family_tree: struct<controversy: null, date: int64, depth: int64, description: string, extinct: bool, family_id: string, path: list<item: string>, period: string, period_parsed: struct<end_is_present: bool, end_year: int64, start_year: int64>, region: string, speakers: string, split_info: null, status: string>, iso_639_3: string, language_codes_full: struct<alias_confidence: string, alias_name: string, alias_notes: string, glottocode: null, iso_639_1: string, iso_639_2b: null, iso_639_2t: string, iso_639_3: string, language_type: string, match_method: string, ref_name: string, scope: string, source: string>, name: string, source: string, wikidata_id: string, writing_systems: list<item: string>>
us_indigenous: struct<alternative_names: list<item: string>, classification: string, endonym: string, glottocode: string, id: string, iso_code: string, location: struct<coordinates: struct<lat: double, lng: double>, region: string, states: list<item: string>>, name: string, proposed_relationships: list<item: string>, speakers: struct<count: int64, year: int64>, status: string>
speaker_count: struct<count: int64, metadata: struct<countries: list<item: string>, note: string, people_groups_count: int64>, source: string>
data_sources: list<item: string>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.
World Languages: 7,130 Languages with Coordinates and Features
Where are the world's 7,000+ languages spoken, and what makes each one unique? This dataset provides geographic coordinates, linguistic features, and demographic data for every documented living language.
World Languages integrates three authoritative sources:
• Glottolog: The definitive catalog of the world's languages, dialects, and language families with ISO 639-3 codes and Glottocodes • WALS (World Atlas of Language Structures): Typological features like word order (SOV, SVO, etc.), tone systems, case marking, and grammatical gender • Ethnologue/UNESCO data: Speaker populations and endangerment status (from 'vigorous' to 'extinct')
Key fields include:
- Geographic coordinates (latitude/longitude) for language homelands
- Language family classification (Indo-European, Sino-Tibetan, Niger-Congo, etc.)
- Macroarea (Africa, Eurasia, Pacific, Americas, etc.)
- Structural features: phoneme count, syllable structure, word order
- Endangerment status and estimated speaker count
Applications include linguistic typology research, language documentation planning, geographic visualization of language diversity, and NLP resource allocation. The dataset reveals patterns like the concentration of linguistic diversity in Papua New Guinea (800+ languages) versus the relative homogeneity of Europe.
Citation
@dataset{world_languages_2026,
title = {World Languages: 7,130 Languages with Coordinates and Features},
author = {Steuber, Luke},
year = {2026},
doi = {10.5281/zenodo.18320704},
url = {https://huggingface.co/datasets/lukeslp/world-languages}
}
License
CC0 1.0 (Public Domain)
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