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Update README.md
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README.md
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Each tweet was labeled by three annotators. For the three-class annotation task, the 3 annotators agreed on 90\% of labeled tweets, 2 out of 3 agreed in 9.5\% of cases, and all three of them disagreed in 0.5\% of cases (Krippendorff's alpha = 0.7).
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## BibTeX entry and citation information
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TODO
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Each tweet was labeled by three annotators. For the three-class annotation task, the 3 annotators agreed on 90\% of labeled tweets, 2 out of 3 agreed in 9.5\% of cases, and all three of them disagreed in 0.5\% of cases (Krippendorff's alpha = 0.7).
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## Language Composition
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We further detail the share of each language by dataset component below:
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| | Stratified + active learning sets (%) | Random set (%) |
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|----------------------------------|-----------------------------------|------------|
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| English | 74.2 | 77 |
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| English & Nigerian Pidgin | 11 | 1.5 |
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| English & Yoruba | 4.2 | - |
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| Nigerian Pidgin | 3.6 | 7.3 |
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| English & Hausa | 2.2 | - |
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| Hausa | 1 | 1.2 |
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| Yoruba | - | 1 |
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| URLs | - | 6 |
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| Emojis | - | 2.3 |
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## BibTeX entry and citation information
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TODO
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