Records
8
HF AUTHOR CLUSTER
Mimic-Robotics robotics datasets
8 robotics-tagged HF records from Mimic-Robotics, totaling 3,141 cumulative downloads.
DIRECT ANSWER
Author clusters consolidate every record from one publisher into a single buyer-review surface. Mimic-Robotics ships 8 robotics datasets on Hugging Face. Top license: apache-2.0. Tier breakdown: 8 indexable as Tier A, 0 as Tier B, 0 demoted (those URLs redirect here).
Cumulative downloads
3,141
Top license
apache-2.0
DATASETS
All 8 robotics records from Mimic-Robotics
8 of 8 datasets
mimic_tictactoe_redx_full30hz
608 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "mimic_follower", "total_episodes": 554, "total_frames": 428498, "total_tasks": 11
mimic_ttt_redx_30hz_x2_ALL
443 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "mimic_follower", "total_episodes": 338, "total_frames": 364063, "total_tasks": 11
mimic_simpleClothFolding_v1
388 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "mimic_follower", "total_episodes": 222, "total_frames": 384490, "total_tasks": 1,
mimic_ttt_redBalanced_30hz
362 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "mimic_follower", "total_episodes": 340, "total_frames": 289608, "total_tasks": 9,
mimic_ttt_redx_ALLBAL_15hz_stable
342 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "mimic_follower", "total_episodes": 678, "total_frames": 326999, "total_tasks": 18
full_ttt_redx_stable_fixed_short_labels
339 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "mimic_follower", "total_episodes": 678, "total_frames": 326999, "total_tasks": 9,
redx_stable
338 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "mimic_follower", "total_episodes": 678, "total_frames": 326999, "total_tasks": 9,
full_ttt_redx_stable_fixed_labels
321 downloads · apache-2.0
This dataset was created using LeRobot. Dataset Structure meta/info.json: { "codebase_version": "v3.0", "robot_type": "mimic_follower", "total_episodes": 678, "total_frames": 326999, "total_tasks": 9,
RESEARCH PATHS
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.
INTERNAL LINKS
Continue the buyer workflow
Physical AI dataset catalog
Use the catalog to compare source-backed dataset profiles by modality, task, rights signal, consent risk, and deployment fit.
Hugging Face robotics index
Scan the broader robotics dataset surface before narrowing into promoted profiles, comparisons, and custom collection specs.
Dataset changelog
Track source updates, licensing notes, and buyer-readiness changes that should trigger a renewed review.
Dataset fit checker
Score whether a public source is enough for the model, rights path, modalities, and target environment.
License risk checker
Separate source license language from contributor consent, redistribution, private-space risk, and model-use assumptions.
Data spec generator
Turn a public-source gap into a scoped capture request with sample QA, metadata, and delivery requirements.
Vendor alternatives hub
Compare data providers when the answer is not another public dataset but a better sourcing or capture route.
Data annotation companies
Use the company index to separate annotation vendors, data engines, marketplaces, and specialist capture teams.
EXTERNAL REFERENCES
Source context to verify
Scale AI physical AI data engine
Market context for why physical AI systems need custom, enriched, real-world data beyond generic labeling workflows.
LeRobot documentation
Robotics dataset and tooling context for Hugging Face based collection, sharing, conversion, and training workflows.
Open X-Embodiment
A cross-embodiment robotics dataset reference for comparing trajectory scale, robot diversity, and VLA training assumptions.
DROID dataset
A large in-the-wild robot manipulation dataset reference for real-world trajectory capture and deployment transfer risk.
TRUELABEL ROUTING
Need data like Mimic-Robotics 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.