metadata

license: cc
language:
  - ach
  - ada
  - adh
  - aeb
  - afr
  - alz
  - amh
  - anu
  - ara
  - asm
  - bem
  - ben
  - bod
  - bxk
  - cat
  - cce
  - ckb
  - crk
  - csw
  - ctu
  - dag
  - dan
  - deu
  - dga
  - din
  - dje
  - ell
  - eng
  - epo
  - ewe
  - fas
  - fat
  - fra
  - ful
  - gaa
  - gjn
  - guj
  - gur
  - guz
  - gyn
  - hat
  - hau
  - hbs
  - hch
  - her
  - hin
  - hun
  - hus
  - ind
  - ita
  - jam
  - jpn
  - kam
  - kan
  - kau
  - kdj
  - keo
  - khm
  - kik
  - kin
  - kln
  - kmr
  - kok
  - koo
  - kor
  - kpz
  - kqn
  - kri
  - kru
  - ktz
  - kua
  - kwn
  - laj
  - lat
  - lgg
  - lin
  - lit
  - lko
  - loz
  - lsm
  - luc
  - lue
  - lug
  - lun
  - luo
  - lwg
  - mal
  - mar
  - mas
  - mat
  - maz
  - mer
  - mfe
  - mhi
  - mhw
  - miu
  - mlg
  - mmc
  - mnw
  - mqu
  - msa
  - mya
  - myx
  - naq
  - nbl
  - nch
  - ndo
  - nep
  - nhe
  - nhw
  - nld
  - nle
  - nno
  - nob
  - nor
  - nso
  - nuj
  - nya
  - nyn
  - nyu
  - nzi
  - ocu
  - old
  - ori
  - orm
  - pan
  - pcm
  - pmq
  - pol
  - por
  - prs
  - pus
  - rki
  - ron
  - rus
  - sag
  - san
  - saq
  - sck
  - sme
  - som
  - sot
  - spa
  - sqi
  - srp
  - ssw
  - swa
  - swe
  - tam
  - tel
  - teo
  - tet
  - tgl
  - tha
  - tir
  - toh
  - toi
  - tsc
  - tsn
  - tso
  - ttj
  - tum
  - tur
  - tuv
  - twi
  - ukr
  - urd
  - ven
  - vie
  - xho
  - xog
  - xsm
  - yor
  - yua
  - yue
  - zho
  - zne
  - zul
pretty_name: GlotStoryBook Corpus
tags:
  - storybook
  - book
  - story
  - language-identification
configs:
  - config_name: default
    data_files:
      - split: train
        path: GlotStoryBook.csv
  - config_name: nalibali
    data_files:
      - split: train
        path: nalibali.csv

Dataset Description

Story Books for 180 ISO-639-3 codes. A Machine Translation (MT) version of this dataset is also provided in cis-lmu/GlotStoryBook-MT.

This dataset consisted of 4 publishers:

GitHub Repository: github
Paper: paper
Point of Contact: amir@cis.lmu.de

Usage (HF Loader)

from datasets import load_dataset
dataset = load_dataset('cis-lmu/GlotStoryBook')
print(dataset['train'][0]) # First row data

Download

If you are not a fan of the HF dataloader, download it directly:

! wget https://huggingface.co/datasets/cis-lmu/GlotStoryBook/resolve/main/GlotStoryBook.csv

Tools

To compute the script of each text we used Glotscript (code and paper).

License and Copyright

We do not own any of the text from which these data has been extracted. All the files are collected from the repository located at https://github.com/global-asp/. The source repository for each text and file is stored in the dataset. Each file in the dataset is associated with one license from the CC family. The licenses include 'CC BY', 'CC BY-NC', 'CC BY-NC-SA', 'CC-BY', 'CC-BY-NC', and 'Public Domain'. We also license the code, actual packaging and the metadata of these data under the cc0-1.0.

Github

We additionally provide a GitHub version that openly shares the source code for processing this dataset: https://github.com/cisnlp/GlotStoryBook

Citation

If you use any part of this code and data in your research, please cite it (along with https://github.com/global-asp/) using the following BibTeX entry. This work is part of the GlotLID project.

@inproceedings{
  kargaran2023glotlid,
  title={{GlotLID}: Language Identification for Low-Resource Languages},
  author={Kargaran, Amir Hossein and Imani, Ayyoob and Yvon, Fran{\c{c}}ois and Sch{\"u}tze, Hinrich},
  booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
  year={2023},
  url={https://openreview.net/forum?id=dl4e3EBz5j}
}