ImranzamanML/Arabic-Sentiments
Arabic Sentiment Analysis Dataset Dataset Description This dataset contains Arabic text snippets, each labeled with a sentiment polarity (positive or negative). The data appears to be intended for tasks like sentiment analysis or text classification. It is divided into separate training and testing files (train.tsv and test.tsv). Source Files train.tsv test.tsv Language Arabic Data Format Tab-Separated Values (.tsv) Each line consists of… See the full description on the dataset page: https://huggingface.co/datasets/ImranzamanML/Arabic-Sentiments.
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1# Arabic Sentiment Analysis Dataset21. Dataset Description3This dataset contains Arabic text snippets, each labeled with a sentiment polarity (positive or negative). The data appears to be intended for tasks like sentiment analysis or text classification. It is divided into separate training and testing files (train.tsv and test.tsv). 4 52. Source Files6- train.tsv 7- test.tsv8 93. Language10- Arabic11 124. Data Format13 14- Tab-Separated Values (.tsv) 15- Each line consists of two fields separated by a tab:16- Field 1: Sentiment Label 17- Field 2: Arabic Text18 195. Features20 21- Sentiment Label: Categorical label indicating the polarity of the text. The observed labels are 'pos' (positive) and 'neg' (negative). 22- Text: A string containing the Arabic text snippet.23 246. Instances (Estimated)25 26- The exact number of instances could not be determined as the full file contents were not available.27- Based on the source identifiers seen in the snippets:28- train.tsv contains approximately 1853 instances (highest source ID seen is 1853). 29- test.tsv contains approximately 3142 instances (highest source ID seen is 3142).30 317. Potential Use Cases32 33- Training and evaluating sentiment analysis models for Arabic text.34- Text classification tasks.35- Natural Language Processing research on Arabic dialects or language variations present in the text.