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README.md
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- split: test
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path: data/test-*
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---
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- split: test
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path: data/test-*
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---
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Assessing DIScourse COherence in Italian TEXts (DISCOTEX)
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Original Paper: https://sites.google.com/view/discotex/
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Task presented at EVALITA-2023
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The original task is about modelling discourse coherence for Italian texts.
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We focalized only on the first sub-task: Last sentence Classification: given a short paragraph, and an individual sentence (target), the model will be asked to classify whether the target follows or not the paragraph.
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To assess the capability of a Language Model to solve such kind of task we reframed the task as multi-choice QA.
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The question will ask to the model given a short paragraph which target sentence is the correct between a list of four, the answers will be the starting letters of the relative target, and a fifth option that indicate that no one target is the correct continuation.
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For each sample, if the sample has 1 as label, we set the relative target as gold answer and three other random targets (from other samples) as distractors. On the other way around, if the sample has 0 as label, we set the relative target and other three random targets (from other samples) as distractors, as the gold answer will be chosen the sentence: "nessuna delle precedenti".
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Data statistics:
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- add
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