All datasets / llm-jp
llm-jp/AnswerCarefully
The checks could not identify a recognised licence ID in the dataset's metadata.
- Declared licence
- other, from the tagEvidence: README.md at d1d4e57
- Licence name on the card
- answer-carefully-dataset-tou, link: LICENSEEvidence: README.md at d1d4e57
- Licence files
LICENSE, LICENSE_ja, licence not identifiedEvidence: LICENSE at d1d4e57- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- Yes, manual approval required
Citation text from the card
@inproceedings{suzuki-etal-2026-answercarefully,
title = {AnswerCarefully: Creating a Dataset for LLM Safety in Japanese},
author = {Suzuki, Hisami and Katsumata, Satoru and Kodama, Takashi and Takahashi, Tetsuro and Nakayama, Kouta and Sekine, Satoshi},
booktitle = {Proceedings of the Fifteenth Language Resources and Evaluation Conference (LREC 2026)},
month = {May},
year = {2026},
pages = {3921--3931},
address = {Palma, Mallorca, Spain},
publisher = {European Language Resources Association (ELRA)},
editor = {Piperidis, Stelios and Bel, Núria and van den Heuvel, Henk and Ide, Nancy and Krek, Simon and Toral, Antonio},
doi = {10.63317/289xxmwcworn},
abstract = {In this paper we present JLLMSafety, a dataset for promoting the safety of Japanese LLM outputs. The dataset consists of 1,800 pairs of questions and reference answers, where the questions require special attention in answering. It covers a wide range of risk categories established in prior English-language datasets, but the data samples are original in that they are manually curated to reflect the socio-cultural context of LLM usage in Japan. We show that using this dataset for instruction to fine-tune a Japanese LLM led to improved output safety without compromising the utility of general responses. We also report the results of a safety evaluation of 12 Japanese LLMs using this dataset as a benchmark. Finally, we discuss the significance of creating regionally specific datasets of LLM safety, a
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dataset_licence({ "id": "llm-jp/AnswerCarefully" })
signal: "unclear"
stated_licence: "other"
sources: 0