Dutch Book Review Sentiment Analysis Dataset

Dutch Book Review Sentiment contains text data for sentiment analysis tasks. The dataset was created by mteb and was last updated in July 2025. It is hosted on HuggingFace with platform tags indicating it is part of the Massive Text Embedding Benchmark (MTEB) and contains text modality.

Use Cases

• Train a classifier to predict sentiment polarity from review text content.
• Benchmark transformer model performance on Dutch language understanding using the provided text and sentiment labels.
• Analyze linguistic patterns and sentiment expression in Dutch literary criticism.
• Fine-tune a multilingual language model for specific sentiment tasks in the Dutch domain.

Strengths

• Part of the structured MTEB benchmark for reproducible NLP evaluation.
• Focus on Dutch language provides data for a less common resource in NLP.

Limitations

• Unknown total number of review samples and sentiment label distribution.
• Potential bias towards specific book genres or review sources is not documented.
• Lack of metadata such as review date or reviewer demographics limits temporal and demographic analysis.

Provenance

Source

mteb (Massive Text Embedding Benchmark)

Collection Method

null

Time Range

null

Freshness

Last updated on 2025-07-05.

Geography

Netherlands or Dutch-speaking regions.