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Datasets with links to supporting source material.

43 selected reportsLast 30 days 43 recordsAll coverage 157 records

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Signal archive — Page 3

2026-10-05Mon41–43 records
  1. LeRobot65

    The author explores the LeRobot community dataset, using embeddings and FiftyOne to analyze 497 episodes across 50 robot types. They identify near-duplicates, filter sessions, and reveal cross-embodiment patterns like cloth folding. A curated subset is available for further exploration.

    Quoted postharpreet@DataScienceHarp

    you balanced your robot dataset by embodiment. the embeddings say you balanced it by recording session i pulled 10 episodes from each of the 50 robot types in lerobot's community dataset and embedded every clip with qwen3-vl 1. 495 of 497 clips have their nearest neighbor in the same session 2. 292 score below 0.1 uniqueness 3. the two "most unique" clips are single-frame recordings, 0.02 seconds long filter the session out and the cross-embodiment signal shows up: a cloth fold on one rig lands next to so100 arms folding cloth i indexed all 497 episodes in fiftyone so you can search by text, cut the near-duplicates, and export a curated lerobot v3 subset one prompt to an agent with fiftyone skills built the whole thing start here, read the full blog: https://huggingface.co/blog/harpreetsahota/fiftyone-now-reads-lerobot-50-embodiments-497-epis read the dataset card: https://huggingface.co/datasets/Voxel51/community_v3_10per_embodiment @LeRobotHF @Alibaba_Qwen

  2. Robotics — Robot learning news discovery85

    Fine-Grained Annotated Robotic Trajectory Dataset and Vision-Language-Action Policy

    This paper presents FineART, a densely annotated bimanual manipulation dataset with 40,543 episodes and 533,913 subtask labels, totaling 1,718 hours. It also introduces FineART-VLA, a vision-language-action policy that improves task success rates through dense subtask training. The dataset and model are open-sourced, offering a new benchmark for long-horizon bimanual manipulation tasks.

2026-10-01Thu
  1. International Journal of Robotics Research — Journal metadata85

    GrandTour: A legged robotics dataset in the wild for multi-modal perception and state estimation

    The GrandTour dataset addresses the lack of large-scale, real-world legged-robot data by providing time-synchronized sensor data from multiple modalities, including LiDAR, RGB cameras, depth sensors, and GNSS. It supports research in SLAM, state estimation, and multi-modal learning, with data available in ROS and HuggingFace formats.

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