学术洪流与 Kaggle 数据集、Zenodo 和 Hugging Face 数据集的比较| Academic Torrents | Kaggle 数据集 | 泽诺布斯 | Hugging Face Datasets |
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| Hosting model: Academic Torrents is a community-maintained distributed repository on BitTorrent infrastructure, and says it makes over 419.44 TB of research data available. Institutions such as Stanford, MIT and Cornell are listed as users. | Hosting model: Kaggle presents itself as a place to evaluate models through crowdsourced benchmarks, competitions and hackathons. Datasets are one part of that platform. | Hosting model: Zenodo is a free, open digital archive built by CERN and OpenAIRE, and its infrastructure is powered by the CERN Data Centre. | Hosting model: Each dataset is a Git repository with the files for its training, evaluation and test splits. |
| 尺寸限制: The page states no per-dataset limit and invites users to distribute public data globally for free. | | 尺寸限制: Each record has 50 GB by default, with an extra allowance of up to 150 GB that can be spread across uploads. | 尺寸限制: There is no per-repository size limit for datasets, but one file cannot exceed 500 GB. Splitting files below 200 GB and keeping folders under 10,000 entries is advised. |
| Access and tooling: The page describes academic BitTorrent infrastructure for distributing datasets and lists peer and traffic maps. | Access and tooling: The Kaggle CLI, installed with pip, can list, create, update, download or delete datasets and is released under Apache 2.0. | | Access and tooling: Datasets with a supported file structure get a Dataset Viewer, and search can be filtered by language, task and licence. |
| 成本: The page says hosting is free and offers infrastructure that can accelerate hosting at no charge. | | 成本: Zenodo is described as free. | 成本: Free accounts get 100 GB of private storage and best-effort public storage. PRO lists 1 TB private, then paid additional storage, as listed on the Hub documentation. |