McGill-NLP/llm2vec-gen-tulu
收藏Hugging Face2026-03-03 更新2026-03-29 收录
下载链接：
https://hf-mirror.com/datasets/McGill-NLP/llm2vec-gen-tulu
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资源简介：
---
license: mit
configs:
- config_name: default
data_files:
- split: original
path: data/original-*
- split: Qwen3_06B
path: data/Qwen3_06B-*
- split: Qwen3_17B
path: data/Qwen3_17B-*
- split: Qwen3_4B
path: data/Qwen3_4B-*
- split: Qwen3_8B
path: data/Qwen3_8B-*
- split: Qwen25_05B_Instruct
path: data/Qwen25_05B_Instruct-*
- split: Qwen25_15B_Instruct
path: data/Qwen25_15B_Instruct-*
- split: Qwen25_3B_Instruct
path: data/Qwen25_3B_Instruct-*
- split: Qwen25_7B_Instruct
path: data/Qwen25_7B_Instruct-*
- split: Llama_32_1B_Instruct
path: data/Llama_32_1B_Instruct-*
- split: Llama_32_3B_Instruct
path: data/Llama_32_3B_Instruct-*
- split: Llama_31_8B_Instruct
path: data/Llama_31_8B_Instruct-*
- split: Gemini
path: data/Gemini-*
dataset_info:
features:
- name: id
dtype: string
- name: question
dtype: string
- name: answer
dtype: string
splits:
- name: original
num_bytes: 1890392308
num_examples: 806413
- name: Qwen3_06B
num_bytes: 1595501945
num_examples: 806413
- name: Qwen3_17B
num_bytes: 1782760153
num_examples: 806413
- name: Qwen3_4B
num_bytes: 1771856766
num_examples: 806413
- name: Qwen3_8B
num_bytes: 1782711169
num_examples: 806413
- name: Qwen25_05B_Instruct
num_bytes: 1764258687
num_examples: 806413
- name: Qwen25_15B_Instruct
num_bytes: 1712059082
num_examples: 806413
- name: Qwen25_3B_Instruct
num_bytes: 1782428614
num_examples: 806413
- name: Qwen25_7B_Instruct
num_bytes: 1794035769
num_examples: 806413
- name: Llama_32_1B_Instruct
num_bytes: 1744159741
num_examples: 806413
- name: Llama_32_3B_Instruct
num_bytes: 1731369502
num_examples: 806413
- name: Llama_31_8B_Instruct
num_bytes: 1753929388
num_examples: 806413
- name: Gemini
num_bytes: 2468679692
num_examples: 803801
download_size: 14197931355
dataset_size: 23574142816
---
# LLM2Vec-Gen
The dataset consists of generations based on the Tulu-3 SFT data ([https://huggingface.co/datasets/allenai/tulu-3-sft-mixture](allenai/tulu-3-sft-mixture)). These generations are intended to be used for training LLM2Vec-Gen models, serving as the target output for queries.
This dataset consists of various splits. Each split corresponds to responses generated by a specific LLM, e.g., Qwen3-4B. The "original" split refers to the original Tulu-3 responses.
Each instance in split `M` typically includes:
- `id`: The original id.
- `question`: The original query.
- `answer`: The text generated by the model `M`.
## Usage
You can load the dataset using the Hugging Face datasets library.
``` python
from datasets import load_dataset
dataset = load_dataset("McGill-NLP/llm2vec-gen-tulu", split="Qwen3_4B")
```
提供机构：
McGill-NLP
