Dataset · Hugging Face

McGill-NLP/llm2vec-gen-echo-rewritten-w-hard-negative

Name: llm2vec-gen-echo-rewritten-w-hard-negative
Creator: McGill-NLP
License: mit
Keywords: license:mit, size_categories:1M<n<10M, format:parquet, modality:text, library:datasets, library:dask, library:polars, library:mlcroissant, region:us

LLM2Vec-Gen The dataset consists of generations based on the Echo data (Springer et al). The instruction+queries are rewritten in a natural tone using Gemini. The generations are intended to be used for training LLM2Vec-Gen models, serving as the target output for queries. The negative_question in this dataset are also generated by Gemini. This dataset consists of various splits. Each split corresponds to responses generated by a specific LLM, e.g., Qwen3-4B. The "original"… See the full description on the dataset page: https://huggingface.co/datasets/McGill-NLP/llm2vec-gen-echo-rewritten-w-ha

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Author / organization	McGill-NLP
License (as declared)	mit
Downloads	338 (as reported by Hugging Face)
Likes	0
Created	26 February 2026
Last updated at source	8 March 2026

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16 Oct 2026 Description: LLM2Vec-Gen The dataset consists of generations based on the Echo data (Springer et al). The instruction+queries are rewritten in a natural tone using Gemini. The generations are intended to be used for training LLM2Vec-Gen models, serving → LLM2Vec-Gen The dataset consists of generations based on the Echo data (Springer et al). The instruction+queries are rewritten in a natural tone using Gemini. The generations are intended to be used for training LLM2Vec-Gen models, serving

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