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Masrad Dataset
Dataset Description
The Masrad dataset contains 19,405 examples with features related to semantic similarity, lexical similarity, entity recognition, phonetic matching, and part-of-speech tagging for Arabic text.
Features
| Feature | Type | Description |
|---|---|---|
semantic |
float | Semantic similarity score |
semantic_rank |
float | Rank based on semantic similarity |
semantic_diff |
float | Difference from top semantic score |
lexical1 |
float | First lexical similarity score |
lexical1_rank |
float | Rank based on first lexical score |
lexical1_diff |
float | Difference from top first lexical score |
lexical2 |
float | Second lexical similarity score |
lexical2_rank |
float | Rank based on second lexical score |
lexical2_diff |
float | Difference from top second lexical score |
entity |
string | Detected entity type (PER, ORG, LOC, none) |
src_entity |
string | Source entity type |
phonetic |
bool | Whether phonetic match exists |
pos |
string | Part of speech tag |
label |
bool | Target label |
Usage
from datasets import load_dataset
dataset = load_dataset("U4RASD/Masrad")
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