Datasets:
Tasks:
Text Classification
Modalities:
Text
Languages:
Zulu
Size:
1K - 10K
ArXiv:
Tags:
stance-detection
License:
rm arxiv ref that hf datasets gets greedy about
Browse files
README.md
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@@ -64,8 +64,6 @@ This is a stance detection dataset in the Zulu language. The data is translated
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Our paper aims at utilizing this progress made for English to transfers that knowledge into other languages, which is a non-trivial task due to the domain gap between English and the target languages. We propose a black-box non-intrusive method that utilizes techniques from Domain Adaptation to reduce the domain gap, without requiring any human expertise in the target language, by leveraging low-quality data in both a supervised and unsupervised manner. This allows us to rapidly achieve similar results for stance detection for the Zulu language, the target language in this work, as are found for English. A natively-translated dataset is used for evaluation of domain transfer.
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This dataset defines a validation partition, as per the scenario in the paper.
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### Supported Tasks and Leaderboards
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### Social Impact of Dataset
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There's a risk of user-deleted content being in this data. The data has NOT been vetted for any content, so there's a risk of
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### Discussion of Biases
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Our paper aims at utilizing this progress made for English to transfers that knowledge into other languages, which is a non-trivial task due to the domain gap between English and the target languages. We propose a black-box non-intrusive method that utilizes techniques from Domain Adaptation to reduce the domain gap, without requiring any human expertise in the target language, by leveraging low-quality data in both a supervised and unsupervised manner. This allows us to rapidly achieve similar results for stance detection for the Zulu language, the target language in this work, as are found for English. A natively-translated dataset is used for evaluation of domain transfer.
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### Supported Tasks and Leaderboards
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### Social Impact of Dataset
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There's a risk of user-deleted content being in this data. The data has NOT been vetted for any content, so there's a risk of harmful text.
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### Discussion of Biases
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