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--- |
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license: mit |
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configs: |
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- config_name: monolingual |
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default: true |
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data_files: |
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- split: train |
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path: monolingual/subtaskA_train_monolingual.jsonl |
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- split: validation |
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path: monolingual/subtaskA_dev_monolingual.jsonl |
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- split: test |
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path: monolingual/subtaskA_monolingual.jsonl |
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- config_name: multilingual |
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data_files: |
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- split: train |
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path: multilingual/subtaskA_train_multilingual.jsonl |
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- split: validation |
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path: multilingual/subtaskA_dev_multilingual.jsonl |
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- split: test |
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path: multilingual/subtaskA_multilingual.jsonl |
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- config_name: chinese |
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data_files: |
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- split: train |
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path: chinese/subtaskA_train_chinese.jsonl |
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task_categories: |
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- text-classification |
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language: |
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- en |
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- zh |
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- ur |
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- bg |
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- id |
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- ru |
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- ar |
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- de |
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- it |
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--- |
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Unofficial Mirror of SemEval2024-Task8-SubtaskA Dataset (https://github.com/mbzuai-nlp/SemEval2024-task8) |
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We have also separately extracted the Chinese subset from the multilingual dataset and stored it in this repository (only the training set includes the Chinese subset). |
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Our MAGA uses the monolingual test set and the Chinese training set of the SemEval2024-Task8-SubtaskA dataset as external test sets to verify the generalization ability of R-B MAGA. |
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A detailed README is coming soon. |
