sand

South Asian Numeral Data

https://github.com/numeralbank/sand

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

South Asian Numeral Data

Basic Info
  • Host: GitHub
  • Owner: numeralbank
  • License: cc-by-4.0
  • Language: TeX
  • Default Branch: main
  • Size: 2.81 MB
Statistics
  • Stars: 0
  • Watchers: 4
  • Forks: 0
  • Open Issues: 4
  • Releases: 2
Created about 4 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Zenodo

README.md

CLDF dataset derived from Mamta's "South Asian Numerals Database" from 2024

CLDF validation

How to cite

If you use these data please cite - the original source

Mamta, K. (2024): South Asian Numerals Database (SAND). Leipzig: Max Planck Institute for Evolutionary Anthropology. - the derived dataset using the DOI of the particular released version you were using

Description

This dataset is licensed under a CC-BY-4.0 license

Available online at https://github.com/numeralbank/sand

Statistics

CLDF validation Glottolog: 100% Concepticon: 96% Source: 100% BIPA: 100% CLTS SoundClass: 100%

  • Varieties: 131 (linked to 129 different Glottocodes)
  • Concepts: 130 (linked to 119 different Concepticon concept sets)
  • Lexemes: 15,364
  • Sources: 9
  • Synonymy: 1.02
  • Invalid lexemes: 0
  • Tokens: 140,583
  • Segments: 127 (0 BIPA errors, 0 CLTS sound class errors, 127 CLTS modified)
  • Inventory size (avg): 27.77

Possible Improvements:

Contributors

| Name | GitHub user | Description | Role | |--------------------|-------------|-------------------------------------------|--------| | Mamta Kumari | @Mamta-Kum | Data Collection | Author | | Johann-Mattis List | @LinguList | Prepared initial version of the CLDF data | Other | | Christoph Rzymski | @chrzyki | Maintainer | Other |

CLDF Datasets

The following CLDF datasets are available in cldf:

Owner

  • Name: numeralbank
  • Login: numeralbank
  • Kind: organization

GitHub Events

Total
  • Create event: 7
  • Release event: 1
  • Issues event: 4
  • Delete event: 4
  • Issue comment event: 24
  • Push event: 67
  • Pull request review event: 2
  • Pull request event: 11
Last Year
  • Create event: 7
  • Release event: 1
  • Issues event: 4
  • Delete event: 4
  • Issue comment event: 24
  • Push event: 67
  • Pull request review event: 2
  • Pull request event: 11

Dependencies

.github/workflows/cldf-validation.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
cldf/requirements.txt pypi
  • Babel ==2.15.0
  • Markdown ==3.6
  • SQLAlchemy ==1.4.53
  • appdirs ==1.4.4
  • attrs ==23.2.0
  • bibtexparser ==2.0.0b7
  • bs4 ==0.0.2
  • certifi ==2024.7.4
  • cldfbench ==1.14.0
  • cldfcatalog ==1.5.1
  • cldfzenodo ==2.1.1
  • clldutils ==3.22.2
  • colorama ==0.4.6
  • colorlog ==6.8.2
  • csvw ==3.3.0
  • gitdb ==4.0.11
  • greenlet ==3.0.3
  • idna ==3.7
  • iniconfig ==2.0.0
  • isodate ==0.6.1
  • jsonschema ==4.23.0
  • lingpy ==2.6.13
  • lxml ==5.2.2
  • nameparser ==1.1.3
  • networkx ==3.3
  • newick ==1.9.0
  • numpy ==2.0.1
  • openpyxl ==3.1.5
  • packaging ==24.1
  • pluggy ==1.5.0
  • pybtex ==0.24.0
  • pycldf ==1.38.1
  • pyclts ==3.2.0
  • pyconcepticon ==3.1.0
  • pycountry ==24.6.1
  • pyglottolog ==3.13.0
  • pylatexenc ==2.10
  • pylexibank ==3.5.0
  • pytest ==8.3.2
  • python-dateutil ==2.9.0.post0
  • rdflib ==7.0.0
  • referencing ==0.35.1
  • regex ==2024.7.24
  • requests ==2.32.3
  • rfc3986 ==1.5.0
  • segments ==2.2.1
  • six ==1.16.0
  • smmap ==5.0.1
  • soupsieve ==2.5
  • tabulate ==0.9.0
  • termcolor ==2.4.0
  • tqdm ==4.66.4
  • uritemplate ==4.1.1
  • urllib3 ==2.2.2
  • wcwidth ==0.2.13
  • xlrd ==2.0.1
  • zenodoclient ==0.5.1
setup.py pypi
  • pylexibank >=3.0