Datasets:
LHF
/

Languages:
Spanish
Multilinguality:
monolingual
Size Categories:
100M<n<1B
Source Datasets:
original
ArXiv:
Tags:
License:
zoraidalhf commited on
Commit
150abc4
1 Parent(s): 296038e

Update README.md

Browse files

Update of the citation

Files changed (1) hide show
  1. README.md +9 -11
README.md CHANGED
@@ -38,20 +38,18 @@ In the recent years, Transformer-based models have lead to significant advances
38
 
39
 
40
  ## Citation
41
- Link to the paper: https://arxiv.org/abs/2206.15147
42
 
43
  Cite this work:
44
  ```
45
- @misc{https://doi.org/10.48550/arxiv.2206.15147,
46
- doi = {10.48550/ARXIV.2206.15147},
47
- url = {https://arxiv.org/abs/2206.15147},
48
- author = {Gutiérrez-Fandiño, Asier and Pérez-Fernández, David and Armengol-Estapé, Jordi and Griol, David and Callejas, Zoraida},
49
- keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
50
- title = {esCorpius: A Massive Spanish Crawling Corpus},
51
- publisher = {arXiv},
52
- year = {2022},
53
- copyright = {Creative Commons Attribution 4.0 International}
54
  }
55
  ```
56
  ## Disclaimer
57
- We did not perform any kind of filtering and/or censorship to the corpus. We expect users to do so applying their own methods. We are not reliable for any misuse of the corpus.
 
38
 
39
 
40
  ## Citation
41
+ Link to the paper: https://www.isca-speech.org/archive/pdfs/iberspeech_2022/gutierrezfandino22_iberspeech.pdf / https://arxiv.org/abs/2206.15147
42
 
43
  Cite this work:
44
  ```
45
+ @inproceedings{gutierrezfandino22_iberspeech,
46
+ author={Asier Gutiérrez-Fandiño and David Pérez-Fernández and Jordi Armengol-Estapé and David Griol and Zoraida Callejas},
47
+ title={{esCorpius: A Massive Spanish Crawling Corpus}},
48
+ year=2022,
49
+ booktitle={Proc. IberSPEECH 2022},
50
+ pages={126--130},
51
+ doi={10.21437/IberSPEECH.2022-26}
 
 
52
  }
53
  ```
54
  ## Disclaimer
55
+ We did not perform any kind of filtering and/or censorship to the corpus. We expect users to do so applying their own methods. We are not liable for any misuse of the corpus.