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SEACrowd/indo4b

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Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence
Not declared in the tag or the card (see datasets with no declared licence)Evidence: README.md at 37f7b25
Licence files
LICENSE, licence not identifiedEvidence: LICENSE at 37f7b25
Declared sources
None listed in the card metadata
Access gated on Hugging Face
No
Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

Citation text from the card

@inproceedings{wilie-etal-2020-indonlu,
        title = "{I}ndo{NLU}: Benchmark and Resources for Evaluating {I}ndonesian 
            Natural Language Understanding",
        author = "Wilie, Bryan  and
          Vincentio, Karissa  and
          Winata, Genta Indra  and
          Cahyawijaya, Samuel  and
          Li, Xiaohong  and
          Lim, Zhi Yuan  and
          Soleman, Sidik  and
          Mahendra, Rahmad  and
          Fung, Pascale  and
          Bahar, Syafri  and
          Purwarianti, Ayu",
        booktitle = "Proceedings of the 1st Conference of the Asia-Pacific Chapter of the 
                Association for Computational Linguistics and the 10th International Joint 
                Conference on Natural Language Processing",
        month = dec,
        year = "2020",
        address = "Suzhou, China",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2020.aacl-main.85",
        pages = "843--857",
        abstract = "Although Indonesian is known to be the fourth most frequently used language 
            over the internet, the research progress on this language in natural language processing (NLP) 
            is slow-moving due to a lack of available resources. In response, we introduce the first-ever vast 
            resource for training, evaluation, and benchmarking on Indonesian natural language understanding 
            (IndoNLU) tasks. IndoNLU includes twelve tasks, ranging from single sent

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/indo4b" })
signal: "unclear"
stated_licence: null
sources: 0