datalicense

All datasets / SEACrowd

SEACrowd/visobert

19 downloads in 30 days0 likesLast modified 24 Jun 2024View on Hugging Face
Use restrictions

The declared licence (cc-by-nc-4.0) is classified as having use restrictions.

Declared licence
cc-by-nc-4.0, from the tagEvidence: README.md at 3f2ce8f
Licence files
LICENSE, detected as cc-by-nc-4.0Evidence: LICENSE at 3f2ce8f
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
SEACrowd/visobertSEACrowd/visobertcc-by-nc-4.0: declared licencecc-by-nc-4.0declared licenceREADME.md ↗cc-by-nc-4.0: licence filecc-by-nc-4.0licence fileLICENSE ↗
SEACrowd/visobertSEACrowd/visobe…cc-by-nc-4.0: declared licencecc-by-nc-4.0declared licenceREADME.md ↗cc-by-nc-4.0: licence filecc-by-nc-4.0licence fileLICENSE ↗
Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

Citation text from the card

@inproceedings{nguyen-etal-2023-visobert,
    title = "{V}i{S}o{BERT}: A Pre-Trained Language Model for {V}ietnamese Social Media Text Processing",
    author = "Nguyen, Nam  and
      Phan, Thang  and
      Nguyen, Duc-Vu  and
      Nguyen, Kiet",
    editor = "Bouamor, Houda  and
      Pino, Juan  and
      Bali, Kalika",
    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.emnlp-main.315",
    pages = "5191--5207",
    abstract = "English and Chinese, known as resource-rich languages, have witnessed the strong
    development of transformer-based language models for natural language processing tasks. Although
    Vietnam has approximately 100M people speaking Vietnamese, several pre-trained models, e.g., PhoBERT,
    ViBERT, and vELECTRA, performed well on general Vietnamese NLP tasks, including POS tagging and
    named entity recognition. These pre-trained language models are still limited to Vietnamese social
    media tasks. In this paper, we present the first monolingual pre-trained language model for
    Vietnamese social media texts, ViSoBERT, which is pre-trained on a large-scale corpus of high-quality
    and diverse Vietnamese social media texts using XLM-R architecture. Moreover, we explored our
    pre-trained model on five important natural langu

All datasets marked Use restrictions | JSON

The same facts for your agent

A free MCP server at mcp.datalicense.uk/mcp. Connect it from an MCP client such as Claude or Cursor.

dataset_licence({ "id": "SEACrowd/visobert" })
signal: "restrictive"
stated_licence: "cc-by-nc-4.0"
sources: 0