---
license: cc-by-nc-sa-4.0
language:
- kwn
- nno
- mlg
- miu
- mhi
- yua
- dga
- pol
- sck
- nuj
- ben
- san
- luo
- guz
- hus
- adh
- lwg
- lue
- nhw
- mer
- lug
- xsm
- ell
- rus
- afr
- ewe
- yue
- mnw
- laj
- myx
- fra
- adx
- teo
- cce
- kln
- hat
- zne
- srp
- mmc
- mal
- fat
- nyu
- ndo
- ven
- hch
- ssw
- kqn
- mhw
- koo
- prs
- nso
- yor
- zho
- naq
- nle
- mqu
- lun
- tuv
- ocu
- sme
- kdj
- alz
- lit
- spa
- mfe
- maz
- tum
- nhe
- hun
- dje
- ori
- swa
- ron
- her
- urd
- ttj
- ktz
- tur
- kam
- sag
- kru
- kok
- toi
- jpn
- orm
- rki
- tsn
- nep
- tha
- zul
- ctu
- khg
- dag
- pcm
- keo
- lko
- amh
- saq
- jam
- ara
- kik
- toh
- kan
- lgg
- tam
- aeb
- ckb
- deu
- guj
- ukr
- tir
- tet
- mar
- bxk
- gur
- vie
- old
- nch
- kpz
- xho
- crk
- ita
- kmr
- nyn
- por
- kri
- gaa
- hin
- asm
- mas
- xog
- khm
- csw
- nor
- tgl
- kin
- luc
- ful
- sqi
- kua
- cat
- tsc
- pus
- nld
- kor
- sot
- mya
- lat
- bod
- eng
- nob
- nzi
- twi
- hau
- dan
- kau
- pan
- swe
- fas
- som
- tso
- loz
- anu
- tel
- ada
- nbl
- lsm
- ach
- bem
- pmq
- mat
- gjn
- nya
- epo

pretty_name: GlotStoryBook Corpus
---

# GlotStoryBook Corpus

Story Books for 180 ISO-639-3 script pairs (174 unique ISO-639-3 codes).

## Usage (HF Loader)
```python
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 or are just interested in a specific language, download it directly:
Replace `twi_Latn` with your specific language.

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


## License and Copyright
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'.


## 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 using the following BibTeX entry.
This work is part of the [GlotLID](https://github.com/cisnlp/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}
}

```