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English(EN) DaDaDa: A Dataset for Data Pricing in Data Marketplaces

新数据集旨在规范数据市场中的数据定价

研究人员推出 DaDaDa,一个旨在帮助数据市场中数据产品定价的新数据集。该数据集包含来自九个主要全球数据市场的超过 16,000 种数据产品的元数据。DaDaDa 旨在克服数据定价的挑战,传统经济学方法因数据近乎零的复制成本和不可预测的收入等独特属性而难以解决。通过支持定价模型的训练,DaDaDa 可以建立价格基准,并协助数据产品的分类和检索。 AI

影响 可能导致更标准化、更高效的数据市场,从而惠及 AI 的发展。

排序理由 该集群是关于在 arXiv 上发布的新学术数据集和论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

新数据集旨在规范数据市场中的数据定价

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
该集群是关于在 arXiv 上发布的新学术数据集和论文。[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
paper, 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
45 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. arXiv cs.AI TIER_1 English(EN) · Qiheng Sun, Hongwei Zhang, Junxu Liu, Xiaokai Mao, Jinfei Liu, Kui Ren, Haibo Hu ·

    DaDaDa:数据市场中的数据定价数据集

    arXiv:2607.08785v1 Announce Type: cross Abstract: High-quality data drives machine learning advances across industries. Recognizing the value of data, data transactions are increasingly common, giving rise to many data marketplaces, e.g., AWS Marketplace, Databricks, and Datarade…