Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
csv
Sub-tasks:
natural-language-inference
Size:
10K - 100K
License:
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Dataset Card for global_nli
Dataset Summary
Global NLI is a new text-based benchmark based on the aggregation of existing NLI datasets that are publicly available.
Languages
There are 59 languages available :
Dataset Structure
Data Instances
The examples look like this for English:
from datasets import load_dataset
data = load_dataset('vivekvermaiit/globalnli', 'eng')
# Please, specify the language code
# A data point example is below:
{
'premise': 'The doors were locked when we went in.',
'hypothesis': 'All of the doors were open.',
'label': 0
}
Data Fields
premise: a multilingual string variable,hypothesis: a multilingual string variable,label: a classification label, with possible values including entailment (0), neutral (1), contradiction (2).
Data Splits
All languages have two splits, dev and test set.
The splits have the following sizes :
| Language | validation | test |
|---|---|---|
| English | 30 | 600 |
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