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English(EN) [BIG DATASET RELEASE] - SupraLabs/reasoning-corpus-4K-5M-v1 - Train your tiny SLMs to think!

SupraLabs发布500万样本推理数据集,用于小型LLM

SupraLabs发布了一个名为reasoning-corpus-4K-5M-v1的新数据集,包含500万个样本,旨在帮助训练小型语言模型提升推理能力。该数据集包含用户提示、详细思考过程和AI模型答案,全部采用ChatML格式,并且序列长度在5k以内,便于高效微调。该资源可在Hugging Face上获取,并已获得显著的早期采用。 AI

影响 提供了一个专门的数据集来提高小型语言模型的推理能力,可能实现更高效、更强大的设备端AI。

排序理由 发布用于训练AI模型的新数据集。[lever_c_demoted from research: ic=1 ai=1.0]

在 r/LocalLLaMA 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

SupraLabs发布500万样本推理数据集,用于小型LLM

本文如何被排名

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
发布用于训练AI模型的新数据集。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
53 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准

报道来源 [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/LH-Tech_AI ·

    [大型数据集发布] - SupraLabs/reasoning-corpus-4K-5M-v1 - 训练您的小型SLM进行思考!

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1v58oni/big_dataset_release/"> <img alt="[BIG DATASET RELEASE] - SupraLabs/reasoning-corpus-4K-5M-v1 - Train your tiny SLMs to think!" src="https://preview.redd.it/b7ybs7nqx5fh1.png?width=140&amp;height=58&amp…