Dataset · Hugging Face

AmareshHebbar/FlipAware_Triples_smoke

Name: FlipAware_Triples_smoke
Creator: AmareshHebbar
License: cc-by-sa-4.0
Keywords: task_categories:sentence-similarity, language:en, license:cc-by-sa-4.0, size_categories:1K<n<10K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, hard-negatives, negation, embeddings

FlipAware_Triples_smoke Triples of an anchor sentence, a true paraphrase, and a look alike trap that shares most words but means something different. Built by an automated pipeline and used to train and test the FlipAware embedders. Leaderboard: FlipAware Leaderboard | Code: GitHub from datasets import load_dataset triples = load_dataset("AmareshHebbar/FlipAware_Triples_smoke") candidates = load_dataset("AmareshHebbar/FlipAware_Triples_smoke", "candidates") seeds =… See the full description on the dataset page: https://huggingface.co/datasets/AmareshHebbar/FlipAware_Triples_smoke.

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Author / organization	AmareshHebbar
License (as declared)	cc-by-sa-4.0
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	27 October 2026
Last updated at source	27 October 2026

hard-negativesnegationembeddingssynthetic

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AmareshHebbar/FlipAware_all_MiniLM_L6_v2_smokeModel · used to train

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