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  ### Data Instances
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  {
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  "subject": "elephant",
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  "predicate": "has_body_part"
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  "score": 0.9999667967668732,
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  "local_sigma": 1.0
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  }
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-
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  ### Data Fields
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  - local sigma: strict conditional probability of observing a (predicate, object) with a specific subject. I.e., a measure of how unique a statement is. E.g., local_sigma(lawyers, defend, serial_killers) = 1, local_sigma(lawyers, make, money) = 0.01, even though both statements have a similar score of 0.99.
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  ## Dataset Creation
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  See original paper.
 
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  ### Data Instances
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+ ```python
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  {
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  "subject": "elephant",
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  "predicate": "has_body_part"
 
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  "score": 0.9999667967668732,
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  "local_sigma": 1.0
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  }
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+ ```
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  ### Data Fields
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  - local sigma: strict conditional probability of observing a (predicate, object) with a specific subject. I.e., a measure of how unique a statement is. E.g., local_sigma(lawyers, defend, serial_killers) = 1, local_sigma(lawyers, make, money) = 0.01, even though both statements have a similar score of 0.99.
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  ## Dataset Creation
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  See original paper.