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upload bimnli
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README.md
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@@ -185,14 +185,29 @@ An example in the **Complex SI** dataset created from the Food Ontology (FoodOn)
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### Data Fields
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- `v_sub_concept`: verbalised sub-concept expression.
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- `v_super_concept`: verbalised super-concept expression.
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- `label`: a binary class label indicating whether two concepts really form a subsumption relationship (`1` means yes).
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- `axiom`: a string representation of the original subsumption axiom which is useful for tracing back to the ontology.
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- `anchor_axiom`: (for complex SI only) a string representation of the anchor equivalence axiom used for sampling the `axiom`.
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### Data Splits
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| Source | #Concepts | #EquivAxioms | #Dataset (Train/Dev/Test) |
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}
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```
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An example in the **biMNLI** dataset created from the MNLI dataset is as follows:
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```
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{
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'premise': 'At the turn of the 19th century Los Angeles and Salt Lake City were among the burgeoning metropolises of the new American West.',
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'hypothesis': 'Salt Lake City was booming in the early 19th century.',
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'label': 1
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}
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```
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### Data Fields
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#### SI Data Fields
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- `v_sub_concept`: verbalised sub-concept expression.
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- `v_super_concept`: verbalised super-concept expression.
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- `label`: a binary class label indicating whether two concepts really form a subsumption relationship (`1` means yes).
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- `axiom`: a string representation of the original subsumption axiom which is useful for tracing back to the ontology.
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- `anchor_axiom`: (for complex SI only) a string representation of the anchor equivalence axiom used for sampling the `axiom`.
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#### biMNLI Data Fields
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- `premise`: inheritated from the MNLI dataset.
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- `hypothesis`: inheritated from the MNLI dataset.
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- `label`: a binary class label indicating `contradiction` (`0`) or `entailment` (`1`).
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### Data Splits
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| Source | #Concepts | #EquivAxioms | #Dataset (Train/Dev/Test) |
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