Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
multi-input-text-classification
Languages:
French
Size:
1K - 10K
License:
Update README.md
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README.md
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### Dataset Summary
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### Supported Tasks and Leaderboards
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- `hypothesis`: The translated premise in the target language.
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- `label`: The classification label, with possible values 0 (`entailment`), 1 (`neutral`), 2 (`contradiction`).
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- `label_text`: The classification label, with possible values `entailment` (0), `neutral` (1), `contradiction` (2).
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### Data Splits
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### Dataset Summary
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The DACCORD dataset is a collection of 1034 sentence pairs annotated as a binary classification task for automatic detection of contradictions between sentences in French.
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Each pair of sentences receives a label according to whether or not the two sentences contradict each other.
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DACCORD currently covers the themes of Russia’s invasion of Ukraine in 2022, the Covid-19 pandemic, and the climate crisis.
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### Supported Tasks and Leaderboards
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- `hypothesis`: The translated premise in the target language.
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- `label`: The classification label, with possible values 0 (`entailment`), 1 (`neutral`), 2 (`contradiction`).
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- `label_text`: The classification label, with possible values `entailment` (0), `neutral` (1), `contradiction` (2).
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- `genre`: a `string` feature .
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### Data Splits
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