Datasets:

EmoRAG
/

EmoRAG_detect

Tasks:

Text Classification

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Dataset card Data Studio Files Files and versions Community

EmoRAG commited on Jan 22

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 This dataset is designed for training and evaluating models to detect malicious texts, particularly those containing emoticons. It was constructed by injecting 1,500 unique emoticons into portions of two publicly available datasets:
 - **NQ (Natural Questions)**
 - **MS-MARCO**
-The dataset contains **764,393 instances**, with each data point containing up to eight emoticons. The goal of this dataset is to facilitate research on detecting malicious patterns in text, especially those involving special characters like emoticons.
 ## Dataset Statistics
-- **Total Instances**: 764,393
 - **Emoticon Pool**: 1,500 unique emoticons
 - **Maximum Emoticons per Instance**: 8
 - **Source Datasets**:

 This dataset is designed for training and evaluating models to detect malicious texts, particularly those containing emoticons. It was constructed by injecting 1,500 unique emoticons into portions of two publicly available datasets:
 - **NQ (Natural Questions)**
 - **MS-MARCO**
+The dataset contains **1,542,788 instances**, with each data point containing up to eight emoticons. The goal of this dataset is to facilitate research on detecting malicious patterns in text, especially those involving special characters like emoticons.
 ## Dataset Statistics
+- **Total Instances**: 1,542,788
 - **Emoticon Pool**: 1,500 unique emoticons
 - **Maximum Emoticons per Instance**: 8
 - **Source Datasets**: