Use supported HTML alignment wrappers for the overview numeric headers and values. Preserve neutral text, domain markers and all content outside this table in both languages.
Replace colored episode-count image badges with aligned bold numbers and place episode units in the headers. Keep blue/orange domain markers and preserve all content outside the first overview table in both languages.
3 days ago
Polish bilingual dataset overview and training guidance
Add aggregate episode, synchronized-time-step and camera-video totals; clarify the automatic HF video preview; refine source and training wording while preserving tables, task definitions, visual assets and tested code.
Document verified per-task counts and PyTorch training batches
Confirm exactly 100 train episodes per Full-Shot task and one per One-Shot task, add the locally executed DataLoader example and domain-specific model dimensions, and pin downloads to the release with synchronized subset documentation.
Compact dataset title and table markers for Hugging Face rendering
Use inline symbols for chapter and metric labels, and combine counts with their units in blue-purple and warm-orange badges. Preserve bilingual text, task names, numeric values, code examples, catalog, and all data subsets.
Keep dataset visual markers inline with headings and table labels
Use blue-purple simulation and warm real-world markers, emphasize episode counts, and add compact semantic icons to section headings and primary statistics tables. Preserve all card text, numerical values, reading examples, catalog, and data subsets.
Fix inline emphasis in bilingual dataset root description
Document ARX and AgiBot Genie02, reviewed and recollected simulation sources, common trajectory contents, and unified displayed simulation task names. Align bilingual card layout with the RoboValue project README and provide a locally executed LeRobot 0.4.2 example. Training data and provenance remain unchanged.
Clean dataset card into definitive dataset descriptions
Remove release-process narration, minor alignment-row history and provisional wording; retain dataset scope, schemas, task mappings, source attribution and reading instructions. State authorized public release and verified RoboDojo-source licensing. No training data changed.
Present simulation before real-world and complete dataset card guidance
Preserve the overview, domain, layout and download structure; reorder both languages and catalog; document all four released subsets, pinned loading, statistics and One-Shot task correspondence. Training data subtrees remain unchanged.
Document verified Real-World One-Shot training release
Summarize the four subset sizes, use paper task names without platform IDs, keep key state/action information visible, and fold extended field mappings and task descriptions. Training data and videos are unchanged.
Rename the real-world full-shot training directory, reserve the other three subset directories, document joint and end-effector action fields, and remove operational notes from current dataset documentation.
Record successful full-release remote verification
Document the current 20-task, 2000-episode G2A real-world release; distinguish planned one-shot and simulation subsets; preserve all existing training paths and frozen checksums.
Document public release and completed full-data upload
