Dataset · Hugging Face

vinnipukh/semeval_tr_relabelled

Name: semeval_tr_relabelled
Creator: vinnipukh
License: mit
Keywords: task_categories:text-classification, language:tr, license:mit, size_categories:1K<n<10K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, absa, aspect-based-sentiment-analysis, semeval-2016

Turkish Restaurant ABSA — Jev labeled 1,232 sentences (300 reviews) from Turkish restaurant reviews annotated for aspect-based sentiment analysis following the SemEval-2016 Task 5 restaurant guidelines. For each sentence, Jev chose the best of four candidate annotations (the original gold label plus three LLMs) against the guidelines. label is the winner and confidence is Jev's probability for it. Formats The same data ships as data/train.parquet (default, used by… See the full description on the dataset page: https://huggingface.co/datasets/vinnipukh/semeval_tr_relabelled.

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Author / organization	vinnipukh
License (as declared)	mit
Downloads	151 (as reported by Hugging Face)
Likes	0
Created	4 October 2026
Last updated at source	4 October 2026

absaaspect-based-sentiment-analysissemeval-2016restaurantturkish

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