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SEACrowd/indo4b
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
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