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--- |
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dataset_info: |
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features: |
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- name: xml |
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dtype: string |
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- name: proceedings |
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dtype: string |
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- name: year |
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dtype: string |
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- name: url |
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dtype: string |
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- name: language documentation |
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dtype: string |
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- name: has non-English? |
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dtype: string |
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- name: topics |
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dtype: string |
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- name: language coverage |
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dtype: string |
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- name: title |
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dtype: string |
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- name: abstract |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 452838 |
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num_examples: 310 |
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download_size: 231933 |
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dataset_size: 452838 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It |
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We present a comprehensive analysis of the linguistic diversity of LLM safety research, highlighting the English-centric nature of the field. Through a systematic review of nearly 300 publications from 2020–2024 across major NLP conferences and workshops at ∗ACL, we identify a significant and growing language gap in LLM safety research, with even high-resource non-English languages receiving minimal attention. |
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- **Paper:** TODO |
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### Dataset Description |
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Current version of the dataset consists of annotations for conference and workshop papers collected from *ACL venues between 2020 and 2024, using keywords of "safe" and "safety" in abstracts to identify relevant literature. The data source is https://github.com/acl-org/acl-anthology/tree/master/data, and the paperes are curated by Zheng-Xin Yong, Beyza Ermis, Marzieh Fadaee, and Julia Kreutzer. |
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### Dataset Structure |
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- xml: xml string from ACL Anthology |
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- proceedings: proceedings of the conference or workshop the work is published in. |
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- year: year of publication |
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- url: paper url on ACL Anthology |
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- language documentation: whether the paper explicitly reports the languages studied in the work. ("x" indicates failure of reporting) |
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- has non-English?: whether the work contains non-English language. (0: English-only, 1: has at least one non-English language) |
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- topics: topic of the safety work ('jailbreaking attacks'; 'toxicity, bias'; 'hallucination, factuality'; 'privacy'; 'policy'; 'general safety, LLM alignment'; 'others') |
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- language coverage: languages covered in the work (null means English only) |
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- title: title of the paper |
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- abstract: abstract of the paper |
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## Citation |
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TODO |
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## Dataset Card Authors |
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- [Zheng-Xin Yong](https://yongzx.github.io/) |
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- [Beyza Ermis](https://scholar.google.com/citations?user=v2cMiCAAAAAJ&hl=en) |
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- [Marzieh Fadaee](https://marziehf.github.io/) |
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- [Stephen H. Bach](https://cs.brown.edu/people/sbach/) |
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- [Julia Kreutzer](https://juliakreutzer.github.io/) |
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