Replace speculative tags with archive descriptors

README.md

@@ -2,29 +2,37 @@
 license: cc-by-nc-4.0
 pretty_name: Time-Lapse Artifacts
 annotations_creators:
-- no-annotation
+- expert-generated
 source_datasets:
 - original
+language:
+- en
 size_categories:
 - n<1K
 task_categories:
+- video-classification
 - feature-extraction
 tags:
-- video
-- time-series
+- drawing-process
 - longitudinal-study
+- traditional-art
+- single-subject
+- video
 - computer-vision
-- drawing-process
-- self-supervised-learning
-- archival
+- video-understanding
+- creative-process
+- human-motion
 ---
 
 # time-lapse-artifacts
 
-467 time-lapse recordings of analog drawing from one continuous practice,
-covering September 2024–present (currently through August 10, 2026). The active
-release is approximately 1.89 TB: 338 canonical Standard videos with per-record
-content hashes and validated technical metadata, plus 129 earlier Pre-Standard
+467 time-lapse recordings of one artist's traditional drawing practice across
+nearly two years (September 2024–August 10, 2026), with standardized acquisition
+since July 15, 2025. Across approximately 1.89 TB of video, the archive follows
+the same artist working in physical media—including pencil, ballpoint pen,
+fountain pen, graphite, and ink—on fixed-format paper and illustration board.
+The release combines 338 canonical Standard videos with per-record content
+hashes and validated technical metadata, plus 129 earlier Pre-Standard
 recordings with lighter descriptive metadata.
 
 The underlying practice also includes a 2012–2016 livestream layer, but those
@@ -178,9 +186,25 @@ describe the published encoded file. Historical canonicalization may include a
 rotation, crop, or transcode; those transformations are documented only where
 evidence currently exists and must not be inferred from dimensions alone.
 
+The July 15, 2025 protocol boundary is explicitly encoded in canonical
+metadata. It supports era-aware comparison of repeated physical-media practice,
+but it is an acquisition change, not a skill-change label. Differences across
+that boundary may reflect capture conditions as well as practice development.
+
 ## Annotation State
 
-The videos are primarily raw and unannotated. The release does not provide:
+Session-level descriptive and provenance metadata are curated by the creator
+from the physical practice, filenames, file properties, and retained historical
+evidence. This is the scope of `annotations_creators: expert-generated`; it does
+not mean that frame-level task labels exist. Likewise, `language: en` describes
+the filename vocabulary, metadata, and documentation, not incidental audio.
+
+The `video-classification` task facet refers to possible session-level targets
+such as documented tool, medium, and support. The release does not define label
+encodings, an official benchmark, or train/validation/test partitions.
+
+The videos themselves are primarily raw and unannotated. The release does not
+provide:
 
 - frame-level bounding boxes or segmentation masks
 - hand, pen-tip, pose, or stroke labels
@@ -197,7 +221,8 @@ source `record_id` and pinned repository revision.
 ### Reasonable uses in the current release
 
 - archival and drawing-process research
-- qualitative within-creator longitudinal analysis over published coverage
+- qualitative within-creator analysis of practice and skill development across
+  repeated physical-media sessions
 - self-supervised video representation experiments
 - frame-change, scene, and workspace analysis
 - development of annotation and tracking methods