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| license: apache-2.0 |
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| # YUE-PUB |
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| This repo contains the data for our ****AACL-IJCNLP 2026**** paper ****YUE-PUB: A Cantonese Pragmatic Understanding Benchmark (https://aclanthology.org/2026.findings-aacl.1/)****. |
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| The benchmark consists of **14** tasks collected from **7** existing pragmatic datasets, covering different forms of pragmatic reasoning, including response classification, implicature recovery, figurative language understanding, presupposition inference, and reference resolution. |
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| ## Task Description |
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| The benchmark consists of **14** pragmatic understanding tasks, which are grouped into three major pragmatic phenomena. |
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| | Task ID | Phenomenon | Description | Source | |
| |---------|------------|-------------|--------| |
| | Task 1–2 | Implicature | Response Classification | CIRCA | |
| | Task 3 | Implicature | Response Classification | CIRCA | |
| | Task 4 | Implicature | Implicature Recovery | GRICE | |
| | Task 5–6 | Implicature | Agreement / Sarcasm Detection | FigQA | |
| | Task 7 | Implicature | Figurative Language Understanding | FLUTE | |
| | Task 8–9 | Implicature | Figurative Language Understanding | FLUTE | |
| | Task 10 | Implicature | Implicature Natural Language Inference (NLI) | IMPPRES | |
| | Task 11 | Presupposition | Presupposition Natural Language Inference (NLI) | IMPPRES | |
| | Task 12 | Presupposition | Presupposition Question Answering | DailyDialog | |
| | Task 13 | Reference | Deictic Question Answering | GRICE | |
| | Task 14 | Reference | Reference Resolution via Metonymy | Metonymy | |
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| ## Data Description |
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| This is a dataset suitable for the **Cantonese pragmatic understanding** task with **multiple-choice question answering**. |
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| All datasets are stored in the `dataset/` folder. |
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| - The benchmark covers **3** major pragmatic phenomena. |
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| ```python |
| phenomena = [ |
| "implicature", |
| "presupposition", |
| "reference" |
| ] |
| ``` |
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| - The benchmark consists of **14** tasks collected from **7** existing pragmatic datasets. |
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| ```python |
| sources = [ |
| "CIRCA", |
| "GRICE", |
| "FigQA", |
| "FLUTE", |
| "IMPPRES", |
| "DailyDialog", |
| "Metonymy" |
| ] |
| ``` |
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| - Each instance contains the dialogue context, question, answer options, ground-truth answer, and the corresponding speech recording. An example is shown below. |
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| ```json |
| { |
| "id": "0", |
| "context": "背景：X同Y係星期五放工時間差唔多嘅同事。", |
| "question": "問：想唔想我順便車你返屋企？", |
| "response": "答：我想我自己車我自己返屋企。", |
| "options": [ |
| "直接回答", |
| "間接回答" |
| ], |
| "answer": "直接回答" |
| } |
| ``` |
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| ## Citation |
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| ``` |
| @inproceedings{wu-etal-2026-yue, |
| title = "{YUE}-{PUB}: A {C}antonese Pragmatic Understanding Benchmark", |
| author = "Wu, Chengyan and |
| Gong, Ziwei and |
| Chen, Jinzhi and |
| Wen, Yajie and |
| Su, Mengmeng and |
| Xue, Yun and |
| Ma, Bolei", |
| editor = "Zhang, Yue and |
| Xu, Ruifeng and |
| Purwarianti, Ayu and |
| Rong, Tong and |
| Suzuki, Jun", |
| booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {IJCNLP}-{AACL} 2026", |
| month = nov, |
| year = "2026", |
| address = "Hengqin, China", |
| publisher = "Association for Computational Linguistics", |
| url = "https://aclanthology.org/2026.findings-aacl.1/", |
| pages = "1--22", |
| ISBN = "979-8-89176-444-6", |
| } |
| ``` |
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