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Product reviews with per-aspect sentiment scores and metadata for ABSA and ranking.

Per-call quality rubric scores and ASR-derived features for coaching models.

Per-block geometry and typography features for layout LM training and QA.

Extracted keywords with topic tags for multi-label classification and TF-IDF analysis.

Synthetic contract clause snippets with jurisdiction and risk tags.

Per-document language, length, topic, and quality signals for corpus curation and multilingual NLP.

Short synthetic product reviews with language codes and sentiment targets.

Synthetic news headlines with category labels for text classification and topic modeling.

Short synthetic patent-style abstracts with CPC codes for retrieval and classification.

Show- and episode-level metadata for recommendation and search.

Short product review text with rating and category for sentiment and NER experiments.

Short text snippets with sentiment labels for NLP and sentiment analysis training.