Datasets:
Dataset Viewer Migration
Goal
Expose canonical and Pre-Standard recordings as separate Hub configurations so users do not mistake different acquisition/documentation eras for an official machine-learning split.
Current configuration
The release candidate defines:
canonical/archive— default; 385 direct Standard MP4 filespre_standard/archive— 128 direct Pre-Standard MP4 files
Both configurations use explicit direct-file globs. The canonical glob does
not recurse into Standard_Time_Lapses/Provenance/, so supporting historical
videos cannot enter the canonical Viewer accidentally.
The dated Standard_Time_Lapses/Provenance/2026-08-27/ layer contains a
27-row, 15-field relationship sidecar and five nested noncanonical InShot
derivatives. Neither the sidecar nor those derivative payloads define a Viewer
configuration or contribute to the 513 active rows.
configs:
- config_name: canonical
default: true
data_files:
- split: archive
path:
- metadata.csv
- Standard_Time_Lapses/*.mp4
- config_name: pre_standard
data_files:
- split: archive
path:
- Pre_Standard_Time_Lapses/metadata.csv
- Pre_Standard_Time_Lapses/*.mp4
The two configurations share the same declared 29-field schema. Before merge, both tiers must have complete core encoded-video metadata, stable IDs, content hashes, and byte sizes. Historical descriptive and provenance uncertainty remains explicit in the Pre-Standard tier.
Merge criteria
Merge only after the pull-request preview confirms:
canonical/archivecontains exactly 385 rows.pre_standard/archivecontains exactly 128 rows.- No provenance video, including the five dated InShot derivatives, is present in either configuration.
- Every expected row contains its metadata.
- Stored dimensions and byte sizes load as integers.
has_audioloads as a boolean.- Generated Parquet artifacts succeed for both configurations.
- The 27 relationship rows resolve against the exact immutable
source_hub_revision, while remaining outside both Viewer configurations.
Split terminology
archive describes repository membership. It is not a training or evaluation
recommendation. No official train/validation/test partition exists.