All datasets / SEACrowd

SEACrowd/indo4b_plus

50 downloads in 30 days1 likesLast modified 24 Jun 2024View on Hugging Face

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 d917635
Licence files: LICENSE, licence not identifiedEvidence: LICENSE at d917635
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

self-supervised-pretraining

Citation text from the card

@inproceedings{cahyawijaya-etal-2021-indonlg,
        title = "{I}ndo{NLG}: Benchmark and Resources for Evaluating {I}ndonesian Natural Language Generation",
        author = "Cahyawijaya, Samuel  and
          Winata, Genta Indra  and
          Wilie, Bryan  and
          Vincentio, Karissa  and
          Li, Xiaohong  and
          Kuncoro, Adhiguna  and
          Ruder, Sebastian  and
          Lim, Zhi Yuan  and
          Bahar, Syafri  and
          Khodra, Masayu  and
          Purwarianti, Ayu  and
          Fung, Pascale",
        booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing",
        month = nov,
        year = "2021",
        address = "Online and Punta Cana, Dominican Republic",
        publisher = "Association for Computational Linguistics",
        url = "https://aclanthology.org/2021.emnlp-main.699",
        doi = "10.18653/v1/2021.emnlp-main.699",
        pages = "8875--8898",
        abstract = "Natural language generation (NLG) benchmarks provide an important avenue to measure progress 
        and develop better NLG systems. Unfortunately, the lack of publicly available NLG benchmarks for low-resource 
        languages poses a challenging barrier for building NLG systems that work well for languages with limited 
        amounts of data. Here we introduce IndoNLG, the first benchmark to measure natural language generation (NLG)
        progress in three low-resource{---}yet widely spoken{---}languages o

All datasets marked Unclear | 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/indo4b_plus" })
signal: "unclear"
stated_licence: null
sources: 0