textflint.generation_layer.transformation.NLI.overlap

Generate some samples by templates

implement follow Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ACL2019 In order to generate some sample whose premise is the sequence of the hypothesis but the semantic are different.


class textflint.generation_layer.transformation.NLI.overlap.Overlap[source]

Bases: textflint.generation_layer.transformation.transformation.Transformation

Generate some samples by templates

implement follow Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference ACL2019 In order to generate some sample whose premise is the sequence of the hypothesis but the semantic are different. exmaple: {

hypothesis: I hope Tom can go to school. premise: Tom goes to school. y: contradicion

}

transform(sample, n=1, **kwargs)[source]

Transform data sample to a list of Sample.

Parameters
  • sample (~NLISample) – Data sample for augmentation

  • n (int) – Default is 1. MAX number of unique augmented output

  • **kwargs

Returns

Augmented data

class textflint.generation_layer.transformation.NLI.overlap.Transformation(**kwargs)[source]

Bases: abc.ABC

An abstract class for transforming a sequence of text to produce a list of potential adversarial example.

processor = <textflint.common.preprocess.en_processor.EnProcessor object>
transform(sample, n=1, field='x', **kwargs)[source]

Transform data sample to a list of Sample.

Parameters
  • sample (Sample) – Data sample for augmentation.

  • n (int) – Max number of unique augmented output, default is 5.

  • field (str|list) – Indicate which fields to apply transformations.

  • **kwargs (dict) –

    other auxiliary params.

Returns

list of Sample

classmethod sample_num(x, num)[source]

Get ‘num’ samples from x.

Parameters
  • x (list) – list to sample

  • num (int) – sample number

Returns

max ‘num’ unique samples.