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| license: cc-by-4.0 | |
| task_categories: | |
| - text-generation | |
| - question-answering | |
| language: | |
| - si | |
| - en | |
| tags: | |
| - societalValues | |
| - cultural-alignment | |
| - multilingual | |
| - low-resource | |
| - instruction-tuning | |
| - benchmark | |
| - llm-evaluation | |
| pretty_name: LKValues | |
| size_categories: | |
| - 100K<n<1M | |
| # LKValues | |
| LKValues is a survey-grounded Sinhala–English resource suite for studying the alignment of large language models with Sri Lankan societal values. | |
| It contains two complementary resources: | |
| - **LKvaluesIT** — an instruction-tuning dataset for training models to generate value-grounded explanations. | |
| - **LKvaluesBench** — an evaluation benchmark for testing controlled value-sensitive judgment. | |
| LKValues is based on 40 societal values retained through a trilingual Sinhala–Tamil–English survey of 205 Sri Lankan respondents. | |
| These values should not be interpreted as an official, exhaustive, or universally applicable definition of Sri Lankan values. | |
| ## LKvaluesIT — Instruction-Tuning Dataset | |
| LKvaluesIT is the training resource of LKValues. | |
| It is designed for **value-grounded generation and supervised instruction tuning**. | |
| Given a situation and a target Sri Lankan societal value, the model is expected to generate a short explanation describing how the situation supports that value. | |
| The public release contains the full bilingual instruction datasets: | |
| | Language | Instances | | |
| | --- | ---: | | |
| | English | ~150,000 | | |
| | Sinhala | ~150,000 | | |
| | Total | ~300,000 | | |
| Each instance contains: | |
| ```json | |
| { | |
| "instruction": "A situation or scenario grounded in a Sri Lankan context", | |
| "input": "Target Sri Lankan societal value", | |
| "output": "A short value-grounded explanation" | |
| } | |
| ``` | |
| ## LKvaluesBench — Benchmark Dataset | |
| LKvaluesBench is the evaluation resource of LKValues. | |
| It is designed to evaluate **controlled value-sensitive judgment**. | |
| Each benchmark item contains: | |
| ```json | |
| { | |
| "ID": 2001, | |
| "question": "Question or value-sensitive scenario", | |
| "Statement_A": "First candidate statement", | |
| "Statement_B": "Second candidate statement", | |
| "CorrectChoice": "A", | |
| "primary_value": "Health", | |
| "Source": "SinhalaMMLU" | |
| } | |
| ``` | |
| LKvaluesBench contains **1,000 aligned benchmark instances** in English and Sinhala. | |
| Models should return one of the following labels: | |
| | Label | Meaning | | |
| | --- | --- | | |
| | `A` | Only Statement A is justifiable | | |
| | `B` | Only Statement B is justifiable | | |
| | `BOTH` | Both statements are justifiable | | |
| | `0` | Neither statement is justifiable | | |
| ## Dataset Files | |
| ```text | |
| LKvaluesIT/ | |
| ├── train_en.json | |
| └── train_si.json | |
| LKvaluesBench/ | |
| ├── test_en.json | |
| └── test_si.json | |
| ``` | |
| ## Languages | |
| - English | |
| - Sinhala | |
| ## Citation | |
| If you use LKValues, LKvaluesIT, or LKvaluesBench in your research, please cite: | |
| ```bibtex | |
| @misc{muthugala2026lkvaluesaligninglargelanguage, | |
| title={LKValues: Aligning Large Language Models with Sri Lankan Societal Values}, | |
| author={Nethmi Muthugala and Supryadi and Surangika Ranathunga and Nisansa de Silva and Ruijie Tao and Ovindu Gunatunga and Pengyun Zhu and Shaowei Zhang and Jingting Zheng and Deyi Xiong}, | |
| year={2026}, | |
| eprint={2607.20410}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2607.20410}, | |
| } | |
| ``` | |
| Paper: https://arxiv.org/abs/2607.20410 | |
| ## Contact | |
| **Nethmi Muthugala** | |
| neth.muthugala1@gmail.com | |
| **Deyi Xiong** | |
| dyxiong@tju.edu.cn |