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rm arxiv ref that hf datasets gets greedy about

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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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@@ -150,7 +148,7 @@ The data was public at the time of collection. User names are preserved.
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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](https://arxiv.org/abs/2204.14256) content.
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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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  *
 
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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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