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sanskxr02
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fidelity-data-factory

Tasks:
Reinforcement Learning
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Video
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egocentric
robotics
state-action-state
world-models
vla
human-interaction
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YAML Metadata Warning:The task_categories "representation-learning" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

YAML Metadata Warning:The task_categories "video-understanding" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Fidelity Data Factory – Egocentric State–Action Transitions (v0)

This repository contains an initial release of structured state–action–state′ transitions extracted from real-world egocentric video.

The goal of this dataset is to provide early infrastructure for learning dynamics and representations from large-scale human activity data.

Overview

Each data point is a short temporal transition of the form:

(s_t, a_t, s_{t+1})

Transitions are derived from monocular egocentric footage recorded in real factory environments.

This release does not include robot-specific signals such as torques or joint states, and is intended for research and exploration rather than deployment.

Data Contents

  • ~200k+ transitions
  • Egocentric (head / chest-mounted) viewpoint
  • Real industrial environments

Transitions are stored in JSONL format.

Schema (Simplified)

Each record contains:

  • s:

    • ego_pose
    • ego_velocity
    • hand_state
    • entities (objects with image-space location)
    • meta (video id, timestamp)

  • a:

    • ego_delta
    • hand_delta
    • interaction_delta

  • s_prime:

    • Same structure as s, representing the next timestep

See schema.json for full details.

Intended Use

This dataset may be useful for:

  • World model research
  • Offline RL
  • Vision–language–action pretraining
  • Learning dynamics from human activity
  • Representation learning from egocentric video

Limitations

  • Monocular video only
  • No force / torque signals
  • No task labels
  • Contains estimation noise

Credits

Original video data provided by BuildAI.
Enrichment and processing by Fidelity Dynamics.
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