Records
9
HF AUTHOR CLUSTER
ByteRainx robotics datasets
9 robotics-tagged HF records from ByteRainx, totaling 11,127 cumulative downloads.
DIRECT ANSWER
Author clusters consolidate every record from one publisher into a single buyer-review surface. ByteRainx ships 9 robotics datasets on Hugging Face. Top license: apache-2.0. Of those, 9 get a full standalone page, 0 get a shorter profile, and 0 are folded into this cluster.
Cumulative downloads
11,127
Top license
apache-2.0
DATASETS
All 9 robotics records from ByteRainx
9 of 9 datasets
Bright2026_19229
Published Apr 2026 · apache-2.0 · ByteRainx
Bright 2026 Benchmark - Robot 19229 (MVP) Competition task: 抓水果 (Fruit Grasping) Dataset Format LeRobot v2.1 format with 3 camera views (face, left wrist, right wrist).
- 2,515 downloads
- not specified
Bright2026_19382
Published Apr 2026 · apache-2.0 · ByteRainx
Bright 2026 Benchmark - Robot 19382 (别碰我爪子) Competition task: 单词拼写 (Word Spelling) Dataset Format LeRobot v2.1 format with 3 camera views (face, left wrist, right wrist).
- 1,773 downloads
- n<1K
Bright2026_19380
Published Apr 2026 · apache-2.0 · ByteRainx
Bright 2026 Benchmark - Robot 19380 (MAEN) Competition task: 水果分类 (Fruit Sorting) Dataset Format LeRobot v2.1 format with 3 camera views (face, left wrist, right wrist).
- 1,628 downloads
- not specified
Bright2026_19361
Published Apr 2026 · apache-2.0 · ByteRainx
Bright 2026 Benchmark - Robot 19361 (DynamicX) Competition task: 环套在柱子上 (Put Ring onto Rod) Dataset Format LeRobot v2.1 format with 3 camera views (face, left wrist, right wrist).
- 1,568 downloads
- n<1K
Bright2026_19234
Published Apr 2026 · apache-2.0 · ByteRainx
Bright 2026 Benchmark - Robot 19234 (Apex) Competition task: 单词拼写 (Word Spelling) Dataset Format LeRobot v2.1 format with 3 camera views (face, left wrist, right wrist).
- 1,451 downloads
- not specified
Bright2026_19359
Published Apr 2026 · apache-2.0 · ByteRainx
Bright 2026 Benchmark - Robot 19359 (炬亮启航) Competition task: 水果分类 (Fruit Sorting) Dataset Format LeRobot v2.1 format with 3 camera views (face, left wrist, right wrist).
- 683 downloads
- not specified
Bright2026_19353
Published Apr 2026 · apache-2.0 · ByteRainx
Bright 2026 Benchmark - Robot 19353 (模型学的全队) Competition task: 单词拼写 (Word Spelling) Dataset Format LeRobot v2.1 format with 3 camera views (face, left wrist, right wrist).
- 658 downloads
- n<1K
Bright2026_19159
Published Apr 2026 · apache-2.0 · ByteRainx
Bright 2026 Benchmark - Robot 19159 (Robot大王) Competition task: 水果分类 (Fruit Sorting) Dataset Format LeRobot v2.1 format with 3 camera views (face, left wrist, right wrist).
- 500 downloads
- not specified
Bright2026_19153
Published Apr 2026 · apache-2.0 · ByteRainx
Bright 2026 Benchmark - Robot 19153 (同济子豪兄 (张子豪团队)) Competition task: 水果分类 (Fruit Sorting) Dataset Format LeRobot v2.1 format with 3 camera views (face, left wrist, right wrist).
- 351 downloads
- n<1K
KEEP DIGGING
Use this record as part of a broader dataset review
A dataset record is only useful when it connects into the rest of the buyer workflow. The next review step is usually not another summary; it is a fit check, rights triage, source comparison, or custom bounty spec that names the missing proof.
For physical AI teams, the hard question is whether the public source can support a specific model objective under real deployment constraints. That requires adjacent dataset records, tools, comparisons, and sourcing paths, plus external references that a reviewer can open and challenge.
Use the links below to keep the review grounded. Start broad when discovery is incomplete, move into profile and comparison pages when the candidate source is known, and switch to custom collection when the blocker is rights, consent, geography, robot embodiment, or target environment coverage.
Where to go next
- Physical AI dataset catalogUse the catalog to compare source-backed dataset profiles by modality, task, rights signal, consent risk, and deployment fit.
- Hugging Face robotics indexScan the broader robotics dataset surface before narrowing into promoted profiles, comparisons, and custom collection specs.
- Dataset changelogTrack source updates, licensing notes, and buyer-readiness changes that should trigger a renewed review.
- Dataset fit checkerScore whether a public source is enough for the model, rights path, modalities, and target environment.
- License risk checkerSeparate source license language from contributor consent, redistribution, private-space risk, and model-use assumptions.
- Data spec generatorTurn a public-source gap into a scoped capture request with sample QA, metadata, and delivery requirements.
- Vendor alternatives hubCompare data providers when the answer is not another public dataset but a better sourcing or capture route.
- Data annotation companiesUse the company index to separate annotation vendors, data engines, marketplaces, and specialist capture teams.
Other places to verify the claims
- Scale AI physical AI data engineMarket context for why physical AI systems need custom, enriched, real-world data beyond generic labeling workflows.
- LeRobot documentationRobotics dataset and tooling context for Hugging Face based collection, sharing, conversion, and training workflows.
- Open X-EmbodimentA cross-embodiment robotics dataset reference for comparing trajectory scale, robot diversity, and VLA training assumptions.
- DROID datasetA large in-the-wild robot manipulation dataset reference for real-world trajectory capture and deployment transfer risk.
TRUELABEL ROUTING
Need data like ByteRainx ships, but with cleaner rights?
If the Hub records don't carry the license, consent, or deployment fit your team needs, commission a custom collection on the same modality with explicit commercial terms.