Refine tags around physical longitudinal practice
Browse filesRetain video and computer-vision as routing tags; retain longitudinal-study and drawing-process as the distinctive intersection; remove time-series and self-supervised-learning; add art, time-lapse, analog-media, skill-acquisition, single-creator, and provenance. Clarify that the July 2025 protocol boundary supports era-aware analysis but is not itself a skill-change label.
README.md
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@@ -10,11 +10,14 @@ size_categories:
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task_categories:
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- feature-extraction
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tags:
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- art
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- time-lapse
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- analog-
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- drawing-process
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- single-creator
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- provenance
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- archival
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@@ -179,6 +182,11 @@ describe the published encoded file. Historical canonicalization may include a
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rotation, crop, or transcode; those transformations are documented only where
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evidence currently exists and must not be inferred from dimensions alone.
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## Annotation State
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The videos are primarily raw and unannotated. The release does not provide:
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@@ -198,7 +206,8 @@ source `record_id` and pinned repository revision.
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### Reasonable uses in the current release
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- archival and drawing-process research
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- qualitative within-creator
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- self-supervised video representation experiments
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- frame-change, scene, and workspace analysis
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- development of annotation and tracking methods
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task_categories:
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- feature-extraction
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tags:
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- video
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- computer-vision
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- art
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- time-lapse
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- analog-media
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- drawing-process
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- skill-acquisition
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- longitudinal-study
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- single-creator
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- provenance
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- archival
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rotation, crop, or transcode; those transformations are documented only where
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evidence currently exists and must not be inferred from dimensions alone.
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The July 15, 2025 protocol boundary is explicitly encoded in canonical
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metadata. It supports era-aware comparison of repeated physical-media practice,
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but it is an acquisition change, not a skill-change label. Differences across
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that boundary may reflect capture conditions as well as practice development.
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## Annotation State
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The videos are primarily raw and unannotated. The release does not provide:
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### Reasonable uses in the current release
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- archival and drawing-process research
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- qualitative within-creator analysis of practice and skill development across
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repeated physical-media sessions
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- self-supervised video representation experiments
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- frame-change, scene, and workspace analysis
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- development of annotation and tracking methods
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