Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Arabic
Size:
< 1K
Tags:
segmentation
License:
Update README.md
Browse files
README.md
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@@ -48,7 +48,7 @@ AraSeg is the first comprehensive benchmark for Arabic sentence segmentation.
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The corpus is designed to support research on sentence segmentation in Modern Standard Arabic (MSA), particularly in settings where punctuation is inconsistent, missing, or noisy.
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AraSeg contains manually annotated documents collected from diverse sources and genres, enabling robust evaluation across different writing styles and domains.
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AraSeg-PA is the Paragraph-Aware (PA) variant of the corpus where documents include paragraph boundaries.
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---
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## Dataset Structure
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The corpus is designed to support research on sentence segmentation in Modern Standard Arabic (MSA), particularly in settings where punctuation is inconsistent, missing, or noisy.
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AraSeg contains manually annotated documents collected from diverse sources and genres, enabling robust evaluation across different writing styles and domains.
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| 50 |
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AraSeg-PA is the Paragraph-Aware (PA) variant of the corpus where documents include paragraph boundaries and punctuation marks.
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---
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## Dataset Structure
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