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---
license: cc-by-nc-4.0
pretty_name: Time-Lapse Artifacts
annotations_creators:
- expert-generated
source_datasets:
- original
language:
- en
size_categories:
- n<1K
task_categories:
- video-classification
- feature-extraction
tags:
- drawing-process
- longitudinal-study
- traditional-art
- single-subject
- video
- computer-vision
- video-understanding
- creative-process
- human-motion
dataset_info:
features:
- name: video
dtype: video
- name: record_id
dtype: large_string
- name: collection_tier
dtype: large_string
- name: is_canonical
dtype: bool
- name: acquisition_protocol_version
dtype: large_string
- name: date
dtype: large_string
- name: time
dtype: large_string
- name: tool
dtype: large_string
- name: medium
dtype: large_string
- name: support
dtype: large_string
- name: dimensions
dtype: large_string
- name: duration_seconds
dtype: float64
- name: width_px
dtype: float64
- name: height_px
dtype: float64
- name: orientation
dtype: large_string
- name: encoded_frame_rate
dtype: float64
- name: video_codec
dtype: large_string
- name: pixel_format
dtype: large_string
- name: container
dtype: large_string
- name: has_audio
dtype: large_string
- name: hub_xet_hash
dtype: large_string
- name: original_filename
dtype: large_string
- name: provenance_status
dtype: large_string
- name: legacy_provenance_path
dtype: large_string
- name: legacy_related_references
dtype: large_string
- name: evidence_method
dtype: large_string
- name: provenance_reference_duration_delta_seconds
dtype: float64
- name: size_bytes
dtype: float64
- name: notes
dtype: large_string
configs:
- config_name: default
data_files:
- split: train
path:
- metadata.csv
- Standard_Time_Lapses/*.mp4
- Pre_Standard_Time_Lapses/metadata.csv
- Pre_Standard_Time_Lapses/*.mp4
features:
- name: video
dtype: video
- name: record_id
dtype: large_string
- name: collection_tier
dtype: large_string
- name: is_canonical
dtype: bool
- name: acquisition_protocol_version
dtype: large_string
- name: date
dtype: large_string
- name: time
dtype: large_string
- name: tool
dtype: large_string
- name: medium
dtype: large_string
- name: support
dtype: large_string
- name: dimensions
dtype: large_string
- name: duration_seconds
dtype: float64
- name: width_px
dtype: float64
- name: height_px
dtype: float64
- name: orientation
dtype: large_string
- name: encoded_frame_rate
dtype: float64
- name: video_codec
dtype: large_string
- name: pixel_format
dtype: large_string
- name: container
dtype: large_string
- name: has_audio
dtype: large_string
- name: hub_xet_hash
dtype: large_string
- name: original_filename
dtype: large_string
- name: provenance_status
dtype: large_string
- name: legacy_provenance_path
dtype: large_string
- name: legacy_related_references
dtype: large_string
- name: evidence_method
dtype: large_string
- name: provenance_reference_duration_delta_seconds
dtype: float64
- name: size_bytes
dtype: float64
- name: notes
dtype: large_string
---
# time-lapse-artifacts
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
videos are not yet published. This is an active construction release.
## Snapshot and Coverage
These counts describe the current `main` branch. The 467-row v0.2 media
membership was established at revision
`3967721ce363316cb7475be648af34a66bc83c27`; later card and schema revisions
preserve the same 338 Standard / 129 Pre-Standard membership.
| Collection tier | Published MP4s | Indexed rows | Date coverage | Metadata state |
| --- | ---: | ---: | --- | --- |
| `standard` | 338 direct files | 338 | 2025-07-15–2026-08-10 | Complete core technical metadata for every direct Standard file |
| `pre_standard` | 129 | 129 | 2024-09-17–2025-07-13, plus 9 unknown dates | Filename-level descriptive metadata; technical ingestion incomplete |
| `legacy_livestream` | 0 public videos | 0 | Historical scope 2012–2016 | Placeholder layer; ingestion pending |
**Current published index (v0.2):** the live Hub Viewer exposes 467 rows: 338
Standard and 129 Pre-Standard. The preceding v0.1 state at revision
`339e6149de130cbe2d001f7a0e5247872bc788ec` exposed 465 rows: 335 Standard and
130 Pre-Standard. v0.2 added three previously unindexed Standard files and
removed one Pre-Standard row whose media did not meet the ownership and
provenance threshold. The rebuild is complete; 467 is the current state, not a
pending estimate.
The builder-generated split name `train` is an archive-loading default,
**not** a recommended machine-learning train split. No official
train/validation/test partition has been defined.
## Viewer and Metadata Discovery
The explicit `default` configuration loads **both** metadata files into one
`default/train` Viewer split:
- root `metadata.csv` indexes the 338 direct files in
`Standard_Time_Lapses/`
- `Pre_Standard_Time_Lapses/metadata.csv` indexes the 129 direct files in that
folder
The Viewer therefore has 467 rows and a 29-column union schema. That schema is
declared in both `dataset_info` and `configs` so file-discovery order cannot
change field availability or infer incompatible types. Both CSV files use the
same 29 columns; undocumented Pre-Standard values are empty and load as null
rather than as zero, false, or inferred numeric data. Both indexes declare tier
membership directly: the root canonical CSV sets
`collection_tier = standard` and `is_canonical = true`; the Pre-Standard CSV
sets `collection_tier = pre_standard` and `is_canonical = false`.
Published-index completeness is defined by the 467 rows in `default/train` and
the matching generated Parquet export. Hugging Face's separate column
Statistics job is an auxiliary, asynchronous surface; its availability is not
used to claim or reject row-level completeness.
The configuration lists the two active `metadata.csv` files and only direct
MP4 paths in `Standard_Time_Lapses/` and `Pre_Standard_Time_Lapses/`. It does
not use a recursive canonical glob, so the nested
`Standard_Time_Lapses/Provenance/` subtree is excluded. Separate canonical and
Pre-Standard configurations remain a future migration described in
`VIEWER_MIGRATION.md`; the current release intentionally keeps one combined
split.
## Overview
`time-lapse-artifacts` documents analog drawing processes across different
recording periods and acquisition conditions. Raw video is the primary record.
Metadata identifies, organizes, compares, and documents recordings without
imposing aesthetic scores or stylistic labels.
The collection is a single-creator longitudinal archive. This makes it useful
for studying within-practice change, but it does not represent artists,
materials, studios, or drawing practices broadly.
## Repository Structure
### `Standard_Time_Lapses/`
The directory contains 338 direct MP4 files. `metadata.csv` is their complete
machine-readable canonical index: every direct file has one validated row with
core technical metadata. Direct placement alone is not sufficient for future
additions; metadata and release validation are required.
Each canonical metadata row now includes:
- a persistent `record_id`
- `collection_tier = standard`
- `is_canonical = true`
- `acquisition_protocol_version = standard-2025-07-15`
- descriptive session fields
- encoded video properties
- repository content hash and size
- provenance fields where documented
Files use a structured filename convention described in `SCHEMA.md`. A
filename is descriptive, but it is not the stable identity of a record;
external references should use `record_id`.
### `Standard_Time_Lapses/Provenance/`
This subtree contains supporting historical records and retained exceptions.
It is not part of the canonical record set.
`2026-07-31/` preserves the completed provenance release, including mappings
between historical `Series_9x12` filenames and canonical records. The former
full duplicate video snapshot is not retained. Relationships are preserved
through mappings, hashes, metadata, and repository history.
`Unresolved_Series_9x12/` contains distinct historical recordings that do not
yet have enough documentation for promotion into the canonical collection.
### `Pre_Standard_Time_Lapses/`
These 129 recordings predate the standard acquisition protocol. They are
published for archival continuity but are not interchangeable with canonical
standard records. Their technical metadata remains incomplete. Missing values
must not be interpreted as zero, false, or evidence that a property was absent.
The folder-local `metadata.csv` is the active index for these 129 videos and is
loaded by the current Viewer alongside the root canonical index.
It follows the same declared 29-field schema as the canonical index while
leaving undocumented extended values empty. The explicit `dataset_info` types
prevent those missing values from changing field types during loading.
Material that does not meet the archive's ownership and provenance threshold
is excluded from both the published media and the active metadata index.
### `Legacy_Livestreams_2012_2016/`
This directory reserves the historical livestream layer. At the audited
snapshot it contains no public video data. References to 2012–2016 therefore
describe archive scope, not current downloadable coverage.
## Metadata and Provenance
The metadata distinguishes documented facts, established historical
relationships, and unresolved information. Evidence may include:
- exact file/blob identity
- original filenames and repository paths
- file sizes and hashes
- duration comparison
- visual continuity across recordings
- documented physical references
- repository commit history
Uncertain relationships are not promoted to verified relationships solely
because dates or filenames look similar.
The active CSV files and live Viewer use semicolons for multiple `tool` and
`medium` values, for example `Pencil;FountainPen` and `Graphite;Ink`. A pipe
(`|`) is **not** a valid separator in v0.2. The two fields are independent
observed-value lists; equal list lengths and positional pairing are not
guaranteed. See `SCHEMA.md`.
`encoded_frame_rate` is encoded playback rate. It is not the original temporal
sampling rate of the drawing process.
## Acquisition and Stored-Video Orientation
The acquisition protocol effective July 15, 2025 is documented in
`Archive_Specifications.md`.
The protocol's capture orientation and a file's stored pixel orientation are
different concepts. The `orientation`, `width_px`, and `height_px` metadata
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
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
- aesthetic or quality scores
- imposed stylistic classifications
- calibrated physical trajectories
- original capture timestamps for individual time-lapse frames
Researchers may derive annotations, but derived labels should identify the
source `record_id` and pinned repository revision.
## Intended and Unsupported Uses
### Reasonable uses in the current release
- archival and drawing-process research
- 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
### Uses requiring additional validation or calibration
- hand or pen-tip tracking
- optical-flow comparison across acquisition eras
- temporal behavior analysis
- real-world trajectory, velocity, acceleration, or motor-control measurement
The release does not currently provide capture intervals, acceleration factors,
source-frame timestamps, camera calibration, or pixel-to-physical coordinate
mapping. Encoded time-lapse playback must not be treated as real drawing time.
### Not validated
- population-level claims about artists or drawing behavior
- clinical, biometric, authorship, or identity inference
- a leakage-safe training or evaluation benchmark
- commercial use outside the CC BY-NC 4.0 terms
## Limitations and Sources of Bias
- The archive documents one creator and one evolving practice.
- Current public video coverage begins in 2024, not 2012.
- The standard and pre-standard tiers have substantially different metadata
completeness and acquisition conditions.
- The workspace can contain hands, tools, phones, tablets, reference material,
and other objects that may create visual shortcuts or occlusion.
- Stored resolution and frame rate do not establish physical or temporal
calibration.
- Large files make exhaustive inspection and replication expensive.
- No official leakage-safe split exists.
## Rights, Privacy, and Audio
The creator confirms ownership of the published video files and depicted
creator-owned drawings. Material that cannot pass the ownership and provenance
review is not part of the active public index and is not distributed by this
release. This statement does not independently grant rights in incidental
third-party material that may appear on screens, in references, or in captured
audio.
Most canonical masters retain an audio stream. Users are responsible for
reviewing audio, visible screens, references, reflections, tattoos, and other
potentially identifying or third-party content before redistribution or model
release. A future proxy release should remove audio by default while preserving
the archival masters.
## Access and Reproducibility
The active 467-video release contains 1,885,402,632,655 bytes of video
(approximately 1.89 TB, or 1.71 TiB). Canonical files are often several
gigabytes each, so users should select records through `metadata.csv` before
downloading video.
### Bandwidth-safe Quick Start
Install Hugging Face Datasets, stream the archive, and disable decoding while
selecting records:
```python
from datasets import Video, load_dataset
dataset = load_dataset(
"maxwellinked/time-lapse-artifacts",
split="train",
streaming=True,
)
metadata = dataset.cast_column("video", Video(decode=False))
first = next(iter(metadata))
print(first["video"]["path"], first["tool"], first["medium"])
```
This exposes the complete metadata schema without transferring video bytes.
Default decoded row access additionally requires `torchcodec` and a compatible
video-decoding stack. Use `streaming=True` unless a full archive download is
intentional.
For reproducible work:
1. Pin a repository commit or release tag.
2. Record the selected `record_id` values.
3. Preserve the published `hub_xet_hash` values.
4. State whether audio was retained.
5. Document all rotation, crop, sampling, decoding, and proxy-generation steps.
Run the included validator before publishing a metadata change:
```bash
python tools/validate_metadata.py metadata.csv
```
The v0.2 index can be regenerated from the pinned 335-row source index plus the
three audited additions:
```bash
python tools/repair_metadata.py source_metadata.csv metadata.csv \
--additions tools/metadata_additions_v0.2.csv
```
## Versioning
The repository is under active construction. Record identity is carried by
`record_id`; a filename may be corrected without creating a new conceptual
record. Content replacement must retain provenance and should receive a new
content hash.
See `CHANGELOG.md` for release-level changes.
## Documentation
- `metadata.csv` — canonical machine-readable index
- `Pre_Standard_Time_Lapses/metadata.csv` — active pre-standard public index
- `SCHEMA.md` — filename and metadata contracts
- `Archive_Specifications.md` — acquisition specifications and known gaps
- `VALIDATION.md` — validation scope and current results
- `Standard_Time_Lapses/Provenance/` — historical evidence and mappings
## Citation
Until a DOI-backed release is available, cite the dataset and pinned revision:
```bibtex
@dataset{maxwellinked_time_lapse_artifacts_2026,
author = {maxwellinked},
title = {time-lapse-artifacts},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/datasets/maxwellinked/time-lapse-artifacts},
note = {Active construction release; include the repository revision used}
}
```
## License
The dataset is released under **CC BY-NC 4.0**. The license applies only to
material for which the licensor holds the necessary rights. Users must conduct
their own review of incidental third-party content and downstream use.