Datasets › SB10k
SB10k
The SB10k dataset is a valuable resource for sentiment analysis in German. Here are the key details:
- Corpus Size: It contains approximately 10,000 German tweets¹.
- Language: German.
- Task: Text classification, specifically sentiment analysis.
- Multilinguality: Monolingual (German only).
- Size Category: Falls within the range of 1K to 10K examples.
- Tags: Sentiment analysis.
- License: CC-BY-4.0.
The dataset was created by annotating German tweets, with each tweet labeled by three annotators. Researchers have used SB10k to benchmark various machine learning classifiers, including convolutional neural networks (CNNs) and feature-based support vector machines (SVMs) for sentiment analysis²³.
(1) Alienmaster/SB10k · Datasets at Hugging Face. https://huggingface.co/datasets/Alienmaster/SB10k. (2) A Twitter Corpus and Benchmark Resources for German Sentiment Analysis. https://aclanthology.org/W17-1106/. (3) A Twitter Corpus and Benchmark Resources for German Sentiment Analysis. https://aclanthology.org/W17-1106.pdf. (4) undefined. http://t.co/9rhta65MSx. (5) undefined. http://t.co/G84qcIGk7k. (6) undefined. http://t.co/LvwyZgew4Q.
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 8 papers for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
No task tagged in the archive.
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SB10k
1 variant name, as the archive lists them.
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