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@@ -52,7 +52,7 @@ The BCP-47 code for Hungarian, the only represented language in this dataset, is
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  ### Data Instances
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- For each instance, there is a unique id ('Sent_id', a sentence ('Sent') and a label (0 for wrong, 1 for good sentences).
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  An example:
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@@ -63,22 +63,19 @@ An example:
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  ```
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  ### Data Fields
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- - id: unique id of the instances, an integer between 1 and 1000;
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- - question: "cause" or "effect". It suggests what kind of causal relation are we looking for: in the case of "cause" we search for the more plausible alternative that may be a cause of the premise. In the case of "effect" we are looking for a plausible result of the premise;
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- - premise: the premise, a sentence;
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- - choice1: the first alternative, a sentence;
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- - choice2: the second alternative, a sentence;
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- - label: the number of the more plausible alternative (1 or 2).
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  ### Data Splits
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- HuCoPA has 3 splits: *train*, *validation* and *test*.
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- | Dataset split | Number of instances in the split |
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- |---------------|----------------------------------|
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- | train | 400 |
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- | validation | 100 |
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- | test | 500 |
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  The test data is distributed without the labels. To evaluate your model, please [contact us](mailto:ligeti-nagy.noemi@nytud.hu), or check [HuLU's website](hulu.nlp.nytud.hu) for an automatic evaluation (this feature is under construction at the moment).
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  ### Data Instances
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+ For each instance, there is aN id, a sentence and a label.
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  An example:
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  ```
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  ### Data Fields
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+ - Sent_id: unique id of the instances, an integer between 1 and 1000;
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+ - Sent: a Hungarian sentence;
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+ - label: '0' for wrong, '1' for good sentences.
 
 
 
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  ### Data Splits
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+ HuCOLA has 3 splits: *train*, *validation* and *test*.
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+ | Dataset split | Number of sentences in the split | Proportion of the split
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+ |---------------|----------------------------------| ---------|
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+ | train | 7214 | 80%|
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+ | validation | 900 |10%|
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+ | test | 900 |10%|
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  The test data is distributed without the labels. To evaluate your model, please [contact us](mailto:ligeti-nagy.noemi@nytud.hu), or check [HuLU's website](hulu.nlp.nytud.hu) for an automatic evaluation (this feature is under construction at the moment).
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