Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Turkish
Size:
100K - 1M
Tags:
sentiment
License:
added first version
Browse files
README.md
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path: hate/test-*
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# Dataset Card for TrGLUE
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path: hate/test-*
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# SentiTurca - A Sentiment Analysis Benchmark for Turkish
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<img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/trgluelogo.png" width="30%" height="30%">
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# Dataset Card for SentiTurca
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SentiTurca is a sentiment analysis benchmarking dataset including movie reviews, hate speech and e-commerce reviews classification.
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### Datasets
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**e-commerce**: The e-commerce reviews are scraped from e-commerce websites Trendyol.com and Hepsiburada.com, including review for many product types such as cloths, toys, books, electronics and more.
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E-commerce reviews has their [stand alone HF repo](https://huggingface.co/datasets/turkish-nlp-suite/MusteriYorumlari) as well.
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**movies** The movie reviews are scraped from two movie review websites, Sinefil.com and Beyazperde.com. Here, we used 2 labels but for a total challenge of 10 label classification can be found under this dataset's [stand alone HF repo](https://huggingface.co/datasets/turkish-nlp-suite/BuyukSinema).
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This dataset is also a part of [TrGLUE benchmark](https://huggingface.co/datasets/turkish-nlp-suite/TrGLUE) under the task name **sst2**.
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**hate** This dataset is the [Turkish Hate Map](https://huggingface.co/datasets/turkish-nlp-suite/TurkishHateMap), scraped from Eksisozluk.com and including 4 labels: offense, hate, neutral and civilized.
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### Dataset statistics
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Here are the dataset sizes and number of labels:
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| Subset | size | num labels |
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| e-commerce | 103K | 5 |
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| movies | 78K | 2|
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| hate | 71K| |
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### Benchmarking
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### Citation
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Coming soon!
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