Name | Identifier | Type of the task | Metrics | License | Download | HB score |
---|---|---|---|---|---|---|
Diagnostic | LiDiRus | Classification | Matthews Corr | MIT License | 0.626 |
LiDiRus is a diagnostic dataset that covers a large volume of linguistic phenomena, while allowing you to evaluate information systems on a simple test of textual entailment recognition. See more details diagnostics.
RTE (Recognizing Textual Entailment) Sentence Pair Classification - Entailment - Not Entailment
{
'sentence1': "Кошка сидела на коврике.",
'sentence2': "Кошка не сидела на коврике.",
'label': 'not_entailment',
'knowledge': '',
'lexical-semantics': '',
'logic': 'Negation',
'predicate-argument-structure': ''
}
All text examples manually translated and adapted from English SuperGLUE Diagnostics
See also:
RTE Challanges (ACL)
English Diagnostics - Matthew`s Corr 65.6%