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- ---
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- dataset_info:
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- features:
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- - name: id
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- dtype: string
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- - name: label
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- dtype: string
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- - name: prompts
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- list:
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- - name: phrase
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- dtype: string
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- - name: choice1
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- dtype: string
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- - name: choice2
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- dtype: string
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- - name: prompt_templates
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- sequence: string
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- - name: metadata
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- struct:
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- - name: language
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- dtype: string
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- splits:
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- - name: id
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- num_bytes: 163609
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- num_examples: 295
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- - name: id_fewshot
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- num_bytes: 905
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- num_examples: 5
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- - name: jv
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- num_bytes: 141631
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- num_examples: 282
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- - name: jv_fewshot
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- num_bytes: 714
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- num_examples: 5
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- - name: su
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- num_bytes: 139902
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- num_examples: 295
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- - name: su_fewshot
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- num_bytes: 701
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- num_examples: 5
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- download_size: 85457
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- dataset_size: 447462
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- configs:
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- - config_name: default
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- data_files:
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- - split: id
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- path: data/id-*
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- - split: id_fewshot
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- path: data/id_fewshot-*
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- - split: jv
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- path: data/jv-*
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- - split: jv_fewshot
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- path: data/jv_fewshot-*
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- - split: su
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- path: data/su-*
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- - split: su_fewshot
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- path: data/su_fewshot-*
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ pretty_name: SEA Metaphor
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+ license:
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+ - mit
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+ task_categories:
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+ - text-generation
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+ - question-answering
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+ language:
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+ - id
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+ - jv
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+ - su
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+ dataset_info:
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+ features:
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+ - name: id
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+ dtype: string
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+ - name: label
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+ dtype: string
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+ - name: prompts
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+ list:
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+ - name: phrase
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+ dtype: string
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+ - name: choice1
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+ dtype: string
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+ - name: choice2
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+ dtype: string
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+ - name: prompt_templates
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+ sequence: string
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+ - name: metadata
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+ struct:
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+ - name: language
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+ dtype: string
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+ splits:
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+ - name: id
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+ num_bytes: 163609
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+ num_examples: 295
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+ num_tokens_gpt_4o: 10289
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+ num_tokens_gemma_2: 10120
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+ num_tokens_llama_3: 13265
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+ - name: id_fewshot
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+ num_bytes: 905
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+ num_examples: 5
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+ num_tokens_gpt_4o: 183
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+ num_tokens_gemma_2: 178
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+ num_tokens_llama_3: 239
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+ - name: jv
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+ num_bytes: 141631
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+ num_examples: 282
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+ num_tokens_gpt_4o: 10167
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+ num_tokens_gemma_2: 10923
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+ num_tokens_llama_3: 13279
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+ - name: jv_fewshot
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+ num_bytes: 714
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+ num_examples: 5
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+ num_tokens_gpt_4o: 154
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+ num_tokens_gemma_2: 168
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+ num_tokens_llama_3: 198
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+ - name: su
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+ num_bytes: 139902
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+ num_examples: 295
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+ num_tokens_gpt_4o: 8973
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+ num_tokens_gemma_2: 10046
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+ num_tokens_llama_3: 11858
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+ - name: su_fewshot
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+ num_bytes: 701
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+ num_examples: 5
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+ num_tokens_gpt_4o: 153
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+ num_tokens_gemma_2: 165
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+ num_tokens_llama_3: 193
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+ download_size: 85457
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+ dataset_size: 447462
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+ total_tokens_gpt_4o: 29919
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+ total_tokens_gemma_2: 31600
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+ total_tokens_llama_3: 39032
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: id
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+ path: data/id-*
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+ - split: id_fewshot
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+ path: data/id_fewshot-*
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+ - split: jv
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+ path: data/jv-*
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+ - split: jv_fewshot
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+ path: data/jv_fewshot-*
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+ - split: su
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+ path: data/su-*
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+ - split: su_fewshot
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+ path: data/su_fewshot-*
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+ size_categories:
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+ - 1K<n<10K
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+ ---
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+
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+ # SEA Metaphor
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+
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+ SEA Metaphor evaluates a model's ability to interpret paired figurative phrases with divergent meanings. It is sampled from [Multilingual-Fig-QA](https://aclanthology.org/2023.findings-acl.525) for Indonesian, Javanese, and Sundanese.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ SEA Metaphor is designed for evaluating chat or instruction-tuned large language models (LLMs). It is part of the [SEA-HELM](https://leaderboard.sea-lion.ai/) leaderboard from [AI Singapore](https://aisingapore.org/).
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+
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+ ### Languages
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+ - Indonesian (id)
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+ - Javanese (jv)
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+ - Sundanese (su)
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+
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+ ### Dataset Details
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+ SEA Metaphor is split by language, with additional splits containing fewshot examples. Below are the statistics for this dataset. The number of tokens only refer to the strings of text found within the `prompts` column.
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+
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+ | Split | # of examples | # of GPT-4o tokens | # of Gemma 2 tokens | # of Llama 3 tokens |
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+ |-|:-|:-|:-|:-|
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+ | id | 295 | 10289 | 10120 | 13265
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+ | jv | 282 | 10167 | 10923 | 13279
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+ | su | 295 | 8973 | 10046 | 11858
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+ | id_fewshot | 5 | 183 | 178 | 239
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+ | jv_fewshot | 5 | 154 | 168 | 198
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+ | su_fewshot | 5 | 153 | 165 | 193
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+ | **total** | 887 | 29919 | 31600 | 39032 |
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+
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+ ### Data Sources
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+
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+ | Data Source | License | Language/s | Split/s
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+ |-|:-|:-| :-|
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+ | [Multilingual-Fig-QA](https://github.com/simran-khanuja/Multilingual-Fig-QA) | [MIT](https://mit-license.org/) | Indonesian, Javanese, Sundanese | id, id_fewshot, jv, jv_fewshot, su, su_fewshot
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+
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+ ### License
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+
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+ For the license/s of the dataset/s, please refer to the data sources table above.
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+
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+ We endeavor to ensure data used is permissible and have chosen datasets from creators who have processes to exclude copyrighted or disputed data.
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+
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+
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+ ### References
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+
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+ ```bibtex
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+ @inproceedings{kabra-etal-2023-multi,
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+ title = "Multi-lingual and Multi-cultural Figurative Language Understanding",
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+ author = "Kabra, Anubha and
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+ Liu, Emmy and
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+ Khanuja, Simran and
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+ Aji, Alham Fikri and
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+ Winata, Genta and
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+ Cahyawijaya, Samuel and
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+ Aremu, Anuoluwapo and
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+ Ogayo, Perez and
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+ Neubig, Graham",
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+ editor = "Rogers, Anna and
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+ Boyd-Graber, Jordan and
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+ Okazaki, Naoaki",
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+ booktitle = "Findings of the Association for Computational Linguistics: ACL 2023",
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+ month = jul,
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+ year = "2023",
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+ address = "Toronto, Canada",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2023.findings-acl.525",
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+ doi = "10.18653/v1/2023.findings-acl.525",
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+ pages = "8269--8284",
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+ }
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+ ```