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English(EN) @ vicgrinberg To complete my answer respectively question : take a look at the UC Irvine machine learning repository offering more than 600 datasets. I could no

用户推荐加州大学欧文分校机器学习库提供数据集

一位Mastodon用户推荐加州大学欧文分校机器学习库作为数据集资源,并指出该库包含600多个选项。用户澄清他们不是在推销AI,而是在提出一个在许多领域都熟悉的方法。他们还询问,如果提到的库不够精确,其他人是否有兴趣分享数据集。 AI

排序理由 这是社交媒体平台上用户之间关于数据集的讨论,而不是重大的行业事件或发布。

在 Mastodon — fosstodon.org 阅读 →

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

用户推荐加州大学欧文分校机器学习库提供数据集

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
Meme
这是社交媒体平台上用户之间关于数据集的讨论,而不是重大的行业事件或发布。
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
other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
Low
Off-topic or adjacent — cluster remains reachable but doesn't surface in AI-industry rankings.
Story freshness
146 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. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    vicgrinberg 回答我的问题:看看加州大学欧文分校机器学习存储库,它提供了 600 多个数据集。我不能

    @ vicgrinberg To complete my answer respectively question : take a look at the UC Irvine machine learning repository offering more than 600 datasets. I could not find any dataset on theoretical physics or astronomy. Not yet. So I am not marketing # AI . The approach I proposed is…