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observation.state
listlengths 6
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float64 0
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End of preview. Expand
in Data Studio
YAML Metadata
Warning:
The task_ids "robotics-manipulation" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation
Dataset Card for so100 Teleop Dataset
Dataset Summary
This dataset contains teleoperation data for so100 robot manipulation tasks. The dataset includes:
- Videos: RGB video recordings of robot manipulation
- Joint States: Per-frame joint angle data
- Actions: Robot joint actions derived from state differences
- Metadata: Episode and frame indexing information
Supported Tasks and Leaderboards
This dataset is designed for robot imitation learning and manipulation tasks.
Languages
The dataset contains English language metadata.
Dataset Structure
Data Instances
Each episode contains:
- Video frames at 24.0 FPS
- Joint state data for 6 joints
- Action data for robot control
- Timestamp information
- Episode and frame indexing
Data Fields
observation.state: Joint angle data (float32, shape: [6])action: Robot joint actions (float32, shape: [6])observation.images.main: RGB video data (video, shape: [704, 1280, 3])frame_index: Frame index within episode (int64)episode_index: Episode identifier (int64)index: Global frame index (int64)task_index: Task identifier (int64)timestamp: Time from episode start (float32)next.done: Episode termination flag (bool)
Data Splits
- Train: 348 frames across 1 episode
Dataset Creation
Source Data
Initial Data Collection and Normalization
The dataset was created from teleoperation recordings of so100 robot manipulation tasks.
Who are the source language producers?
[Add information about data collection process]
Annotations
Annotation process
[Add information about annotation process if applicable]
Who are the annotators?
[Add information about annotators if applicable]
Personal and Sensitive Information
[Add information about personal/sensitive data handling]
Additional Information
Dataset Curators
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Licensing Information
This dataset is licensed under the MIT License.
Citation Information
@dataset{so100_teleop_dataset,
title = {so100 Teleop Dataset},
author = {[Add author information]},
year = {2024},
url = {[Add dataset URL]}
}
Contributions
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Contact
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