The `NGramOverlapExampleSelector` selects and orders examples based on which examples are most similar to the input, according to an ngram overlap score. The ngram overlap score is a float between 0.0 and 1.0, inclusive.

The selector allows for a threshold score to be set. Examples with an ngram overlap score less than or equal to the threshold are excluded. The threshold is set to -1.0, by default, so will not exclude any examples, only reorder them. Setting the threshold to 0.0 will exclude examples that have no ngram overlaps with the input.

```
from langchain_community.example_selector.ngram_overlap import (    NGramOverlapExampleSelector,)from langchain_core.prompts import FewShotPromptTemplate, PromptTemplateexample_prompt = PromptTemplate(    input_variables=["input", "output"],    template="Input: {input}\nOutput: {output}",)# Examples of a fictional translation task.examples = [    {"input": "See Spot run.", "output": "Ver correr a Spot."},    {"input": "My dog barks.", "output": "Mi perro ladra."},    {"input": "Spot can run.", "output": "Spot puede correr."},]
```

```
example_selector = NGramOverlapExampleSelector(    # The examples it has available to choose from.    examples=examples,    # The PromptTemplate being used to format the examples.    example_prompt=example_prompt,    # The threshold, at which selector stops.    # It is set to -1.0 by default.    threshold=-1.0,    # For negative threshold:    # Selector sorts examples by ngram overlap score, and excludes none.    # For threshold greater than 1.0:    # Selector excludes all examples, and returns an empty list.    # For threshold equal to 0.0:    # Selector sorts examples by ngram overlap score,    # and excludes those with no ngram overlap with input.)dynamic_prompt = FewShotPromptTemplate(    # We provide an ExampleSelector instead of examples.    example_selector=example_selector,    example_prompt=example_prompt,    prefix="Give the Spanish translation of every input",    suffix="Input: {sentence}\nOutput:",    input_variables=["sentence"],)
```

```
Give the Spanish translation of every inputInput: Spot can run.Output: Spot puede correr.Input: See Spot run.Output: Ver correr a Spot.Input: My dog barks.Output: Mi perro ladra.Input: Spot can run fast.Output:
```

```
# You can add examples to NGramOverlapExampleSelector as well.new_example = {"input": "Spot plays fetch.", "output": "Spot juega a buscar."}example_selector.add_example(new_example)print(dynamic_prompt.format(sentence="Spot can run fast."))
```

```
Give the Spanish translation of every inputInput: Spot can run.Output: Spot puede correr.Input: See Spot run.Output: Ver correr a Spot.Input: Spot plays fetch.Output: Spot juega a buscar.Input: My dog barks.Output: Mi perro ladra.Input: Spot can run fast.Output:
```

```
# You can set a threshold at which examples are excluded.# For example, setting threshold equal to 0.0# excludes examples with no ngram overlaps with input.# Since "My dog barks." has no ngram overlaps with "Spot can run fast."# it is excluded.example_selector.threshold = 0.0print(dynamic_prompt.format(sentence="Spot can run fast."))
```

```
Give the Spanish translation of every inputInput: Spot can run.Output: Spot puede correr.Input: See Spot run.Output: Ver correr a Spot.Input: Spot plays fetch.Output: Spot juega a buscar.Input: Spot can run fast.Output:
```

```
Give the Spanish translation of every inputInput: Spot can run.Output: Spot puede correr.Input: Spot plays fetch.Output: Spot juega a buscar.Input: Spot can play fetch.Output:
```

```
Give the Spanish translation of every inputInput: Spot can play fetch.Output:
```