faisalq/SaudiBERT

Model

SaudiBERT is the first pre-trained large language model focused exclusively on Saudi dialect text. The model was pretrained on two large-scale corpora: the Saudi Tweets Mega Corpus (STMC), which contains +141 million tweets, and the Saudi Forum Corpus, which includes +70 million sentences collected from various Saudi online forums. The datasets comprise 26.3GB of text. The code files along with the results are available on repo.

21

5 commits

2 linked in READMEs

updated May 23, 2024

See the code

README



SaudiBERT is the first pre-trained large language model focused exclusively on Saudi dialect text. The model was pretrained on two large-scale corpora: the Saudi Tweets Mega Corpus (STMC), which contains +141 million tweets, and the Saudi Forum Corpus, which includes +70 million sentences collected from various Saudi online forums. The datasets comprise 26.3GB of text. The code files along with the results are available on repo.

BibTex

If you use SaudiBERT model in your scientific publication, or if you find the resources in this repository useful, please cite our paper as follows (citation details to be updated):

@article{qarah2024saudibert,
  title={SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora},
  author={Qarah, Faisal},
  journal={arXiv preprint arXiv:2405.06239},
  year={2024}
}


Arabic BERT
bert
endpoints_compatible
fill-mask
Masked Langauge Model
safetensors
Saudi Dialect
transformers
Twitter

faisalq/SaudiBERT

Model

SaudiBERT is the first pre-trained large language model focused exclusively on Saudi dialect text. The model was pretrained on two large-scale corpora: the Saudi Tweets Mega Corpus (STMC), which contains +141 million tweets, and the Saudi Forum Corpus, which includes +70 million sentences collected from various Saudi online forums. The datasets comprise 26.3GB of text. The code files along with the results are available on repo.

21

5 commits

2 linked in READMEs

updated May 23, 2024

See the code

README



SaudiBERT is the first pre-trained large language model focused exclusively on Saudi dialect text. The model was pretrained on two large-scale corpora: the Saudi Tweets Mega Corpus (STMC), which contains +141 million tweets, and the Saudi Forum Corpus, which includes +70 million sentences collected from various Saudi online forums. The datasets comprise 26.3GB of text. The code files along with the results are available on repo.

BibTex

If you use SaudiBERT model in your scientific publication, or if you find the resources in this repository useful, please cite our paper as follows (citation details to be updated):

@article{qarah2024saudibert,
  title={SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora},
  author={Qarah, Faisal},
  journal={arXiv preprint arXiv:2405.06239},
  year={2024}
}


Arabic BERT
bert
endpoints_compatible
fill-mask
Masked Langauge Model
safetensors
Saudi Dialect
transformers
Twitter