fshy

fshy / Storage

OpenDataLab

opendatalab.com · Storage · 1 record · JSON

OpenDataLab (opendatalab.com / opendatalab.org.cn) Storage

caveatemailno cardphoneIper-object-cap

opendatalab.com · dataset-hosting · storage/opendatalab · JSON · compare

Free tierNot published. What is documented is capability rather than quota: the dataset center accepts file, folder, or archive uploads and auto-extracts archives server-side; public datasets require a license field before they can be published (so publishing is a two-step publish flow, not a raw PUT). OpenDataLab is the org behind the WanJuan corpus and mirrors COCO and similar multi-hundred-GB sets, so its scale class is genuinely multi-TB on the read side.
unit TB; metered on unstated
Pricenone stated
Per-object capNo per-file cap, retention, or rate limit published
Retentionnot stated
EgressFree for public datasets; anonymous downloads. No egress line found. Served from Chinese CDN endpoints.
Identityemail email + likely +86 phone (Chinese platform).
Limits
  • per-object-cap No per-file cap, retention, or rate limit published source
Unverified quota. Known: public publication requires a license to be set (a metadata gate, not a storage gate); archives are auto-extracted, so extracted size counts. No per-file cap, retention, or rate limit published.
Bindingper-object-cap the per-object cap sets the shard size and therefore the object count; it bounds the total more tightly than any headline quota
Interfaces3-compatible, rest, cli rest
ToolingSame openxlab toolchain (OpenDataLab runs on the OpenXLab 浦源 docs stack): pip install openxlab, openxlab dataset upload-file/-folder. Also opendatalab/opendatalab-python-sdk (60 stars) and an OpenDataLab CLI documented at opendatalab.com/docs/developers/数据集/数据集CLI. There is no S3 API.
Composes withPer-dataset repos, unlimited count, free account. 50 GB-class datasets are the platform's normal unit, so N datasets x 50-200 GB.
ReliabilityAPI endpoints on opendatalab.com timed out from this network (25 s, then 30 s) while HTML pages served fine — treat the programmatic surface as CN-network-dependent.
NotesNot published. What is documented is capability rather than quota: the dataset center accepts file, folder, or archive uploads and auto-extracts archives server-side; public datasets require a license field before they can be published (so publishing is a two-step publish flow, not a raw PUT). OpenDataLab is the org behind the WanJuan corpus and mirrors COCO and similar multi-hundred-GB sets, so its scale class is genuinely multi-TB on the read side.
Evidence runginferred One page read moves it to documented.
Checked2026-10-21 (inherited); stale on 2026-11-20
Evidence (3)
datesourcewhat it proved
2026-10-21opendatalab.com/docs/datasets/上传数据集.htmlread live: upload types 文件/文件夹/压缩包, '如果您选择压缩包,系统将会在上传后自动解压您的文件', CLI and SDK examples
2026-10-21opendatalab.com/docs/datasets/数据集创建流程.htmlread live: publishing requires setting visibility to public and '公开数据集需具备license信息'
2026-10-21opendatalab.com/api/v1/datasets?per=3probe: GET -> 404 (18 bytes); /api/v2/... -> connection timeout at 25 s
Unknown or withheld values (4)
  • $.free_tier.notes process
  • $.per_object_cap.notes not-extracted
  • $.retention.notes not-extracted
  • $.retention.stated not-extracted