Text metrics
Project description
Docling metric for text
Text metrics:
- BLEU
- edit-distance
- METEOR
- Precision
- Recall
- F1
Installation
uv sync --all-packages
Usage
from docling_metrics_text import (
TextMetrics,
TextPairEvaluation,
TextPairSample,
)
# Example 1: Compare two similar texts
sample_1 = TextPairSample(
id="s1",
text_a="The quick brown fox jumps over the lazy dog.",
text_b="The fast brown fox leaps over the lazy dog.",
)
text_metrics = TextMetrics()
evaluation_1: TextPairEvaluation = text_metrics.evaluate_sample(sample_1)
print(f"Sample 1 - Similar texts:\n{evaluation_1}\n")
# Example 2: Compare two very different texts
sample_2 = TextPairSample(
id="s2",
text_a="Machine learning is a subset of artificial intelligence.",
text_b="The weather forecast predicts rain tomorrow afternoon.",
)
evaluation_2: TextPairEvaluation = text_metrics.evaluate_sample(sample_2)
print(f"Sample 2 - Different texts:\n{evaluation_2}\n")
Project details
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