dolma

  • Descrição :

Dolma: um corpus aberto de três trilhões de tokens para pesquisa de pré-treinamento de modelos de linguagem

Dividir Exemplos
'train' 3.403.336.408
  • Estrutura de recursos :
FeaturesDict({
    'added': Text(shape=(), dtype=string),
    'created': Text(shape=(), dtype=string),
    'id': Text(shape=(), dtype=string),
    'source': Text(shape=(), dtype=string),
    'text': Text(shape=(), dtype=string),
})
  • Documentação de recursos :
Recurso Aula Forma Tipo D Descrição
RecursosDict
adicionado Texto corda
criado Texto corda
eu ia Texto corda
fonte Texto corda
texto Texto corda
  • Citação :
@article{dolma,
  title = { {Dolma: An Open Corpus of Three Trillion Tokens for Language Model Pretraining Research} },
  author = {
    Luca Soldaini and Rodney Kinney and Akshita Bhagia and Dustin Schwenk and David Atkinson and
    Russell Authur and Ben Bogin and Khyathi Chandu and Jennifer Dumas and Yanai Elazar and
    Valentin Hofmann and Ananya Harsh Jha and Sachin Kumar and Li Lucy and Xinxi Lyu and Ian Magnusson and
    Jacob Morrison and Niklas Muennighoff and Aakanksha Naik and Crystal Nam and Matthew E. Peters and
    Abhilasha Ravichander and Kyle Richardson and Zejiang Shen and Emma Strubell and Nishant Subramani and
    Oyvind Tafjord and Evan Pete Walsh and Hannaneh Hajishirzi and Noah A. Smith and Luke Zettlemoyer and
    Iz Beltagy and Dirk Groeneveld and Jesse Dodge and Kyle Lo
},
  year = {2024},
  journal={arXiv preprint},
}