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This repository contains a machine-translated Modern Greek version of [SICK](https://huggingface.co/datasets/sick) (Sentences Involving Compositional Knowldedge) dataset. The goal is to predict textual entailment (does sentence A
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imply/contradict/neither sentence B), which is a classification task (given two sentences, predict one of three labels). Apart from machine translating the sentence pairs, the rest of information (pair ID, labels, source dataset of each sentence, train/dev/test subset partition) has been left intact as in the original English dataset.
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The dataset is here formatted in a similar manner (TSV format) as the widely used [XNLI](https://huggingface.co/datasets/xnli) dataset for convenience.
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### Supported Tasks and Leaderboards
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This repository contains a machine-translated Modern Greek version of [SICK](https://huggingface.co/datasets/sick) (Sentences Involving Compositional Knowldedge) dataset. The goal is to predict textual entailment (does sentence A
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imply/contradict/neither sentence B), which is a classification task (given two sentences, predict one of three labels). Apart from machine translating the sentence pairs, the rest of information (pair ID, labels, source dataset of each sentence, train/dev/test subset partition) has been left intact as in the original English dataset.
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The dataset is here formatted in a similar manner (TSV format) as the widely used [XNLI](https://huggingface.co/datasets/xnli) dataset for convenience.
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It is also compatible with the [French version of SICK](https://huggingface.co/datasets/maximoss/sick-fr-mt) for a combined 3-language NLI task (English, Greek, French) if used together, as they both keep the same column names.
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### Supported Tasks and Leaderboards
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