# MINEA
**Objective:**
MINEA assesses information extraction models by measuring the accuracy of identifying rare but critical information (the "needles") from large datasets (the "haystack"). It uses a combination of rarity detection and contextual extraction to evaluate how well a model pulls specific, infrequent data points. A high MINEA score implies the model successfully extracts crucial, rare information without being overwhelmed by more common or irrelevant data.
**Required Columns in Dataset:**
`Labeled Text`, `Source Document`
**Interpretation:**
* **High MINEA**: Indicates that the model excels at identifying rare and crucial pieces of information, even when they are hidden within a large volume of irrelevant or common data.
* **Low MINEA**: Suggests the model struggles to detect infrequent yet important details, leading to potential information gaps in extraction.
**Execution via UI:**
**Execution via SDK:**
```python
metrics=[
{"name": "MINEA", "config": {"model": "gpt-4o-mini", "provider": "openai"}, "column_name": "your-text", "schema_mapping": schema_mapping}
]
```
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