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added benchmark info

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@@ -149,11 +149,22 @@ Here are the dataset sizes and number of labels:
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  | e-commerce | 103K | 5 |
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  | movies | 78K | 2|
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- | hate | 71K| |
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  ### Benchmarking
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  ### Citation
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  | e-commerce | 103K | 5 |
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  | movies | 78K | 2|
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+ | hate | 52K| 4 |
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  ### Benchmarking
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+ We benchmarked BERTurk on all of our datasets.
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+ All benchmarking scripts can be found under the dedicated [SentiTurca Github repo](https://github.com/turkish-nlp-suite/SentiTurca).
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+ | Subset | metrics | success |
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+ |---|---|---|
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+ | movies | Matthews corr. | 0.67 |
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+ | e-commerce | acc./F1 | 0.66/0.64 |
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+ | hate | acc./F1 | 0.61/0.58 |
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+ As one sees, hate dataset is quite challenging. For a full critique of the benchmark please visit our [research paper]().
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  ### Citation
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