README.md

---
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](https://huggingface.co/datasets/cis-lmu/GlotStoryBook-MT).

This dataset consisted of 4 publishers:
1. asp: [African Storybook](https://africanstorybook.org)
2. pb: [Pratham Books](https://prathambooks.org/)
3. lcb: [Little Cree Books](http://littlecreebooks.com/)
4. lida: [LIDA Stories](https://lidastories.net/)


- **GitHub Repository:** [github](https://github.com/cisnlp/GlotStoryBook)
- **Paper:** [paper](https://arxiv.org/abs/2310.16248)
- **Point of Contact:** [email protected]


## 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, download it directly:

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

# Tools

To compute the script of each text we used Glotscript ([code](https://github.com/cisnlp/GlotScript) and [paper](https://arxiv.org/abs/2309.13320)).


## 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](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}
}

```