zarnite/reolyy-edit-intent-to-timeline

---
language:
- en
license: apache-2.0
annotations_creators:
- expert-generated
- machine-generated
language_creators:
- expert-generated
- machine-generated
source_datasets:
- original
task_categories:
- text-generation
tags:
- zarnite
- benchmark
- video-editing
- timeline
- creative-tools
- gold-track
- benchmark-starter
pretty_name: Reolyy Edit Intent to Timeline
size_categories:
- 10K<n<100K
configs:
- config_name: default
data_files:
- split: train
path: data/train.jsonl
- split: validation
path: data/validation.jsonl
- split: test
path: data/test.jsonl
---

# Reolyy Edit Intent to Timeline

## Dataset Description

Creator intent plus clip metadata and transcript slices mapped to structured timeline edits.

## Team Attribution

This dataset was created and reviewed by the Zarnite team through internal benchmark design, generation, and quality-control workflows. It should be presented as a Zarnite-authored benchmark starter pack, not as a purely human-collected field corpus.

## Ecosystem Need Tier

High Ecosystem Need

## Why This Category Is Attractive

Timeline planning is central to creator tooling, and high-context editing benchmarks help separate generic language ability from actual packaging skill.

## Benchmark Goal

Evaluate timeline construction, proof preservation, packaging completeness, and editing decisions under realistic creative constraints.

## Included In This Folder

- `data/train.jsonl`, `data/validation.jsonl`, `data/test.jsonl`: starter benchmark splits with 1200 total rows.
- `schema.json`: JSON Schema for row validation.
- `benchmark_spec.json`: metrics, quality gates, and target release scale.
- `LICENSE.md`: folder-local license notice for self-contained publishing.
- `PUBLISHING.md`: repo-specific publish instructions for Hugging Face.
- `hf_repo_template.json`: machine-readable repo template used by the uploader script.

## Target Public Scale

- Train: 20,000
- Validation: 2,000
- Test: 2,000
- Total target rows: 24,000

## Recommended Metrics

- `timeline_segment_iou`
- `packaging_completeness`
- `constraint_fidelity`
- `proof_preservation`
- `caption_readability`

## Gold-Track Benchmark Assets

- `ANNOTATION_GUIDELINES.md`: how to expand rows without drifting from the benchmark purpose.
- `REVIEW_PROTOCOL.md`: how to audit validation and test rows with dual review and adjudication.
- `BASELINE_EVAL_SPEC.json`: expected output contract, slice reporting, and release thresholds.
- `RELEASE_CHECKLIST.md`: final pre-publish checks for the public Hugging Face release.
- `SCORING_PROFILE.json`: prediction keys, scoring expectations, and slice reporting requirements.
- `prediction_template.jsonl`: starter template for benchmark submissions or baseline runs.

## Expanded Row Anatomy

- `creative_brief`: audience, goals, must-keep proof, and things to avoid.
- `footage_inventory`: structured clip metadata plus transcript snippets.
- `reference_packaging`: hook, titles, caption plan, audio plan, and grade plan.
- `reference_qc_checklist`: production-ready checks for the finished cut.
- `difficulty_rationale`: why the row belongs in its difficulty bucket instead of a weaker slice.
- `benchmark_slices`: named reporting slices such as approval friction, proof preservation, or citation traps.
- `adversarial_features`, `expected_failure_modes`, and `review_readiness`: what the row is testing and how a gold-track reviewer should treat it.
- `evidence_manifest`, `reference_variants`, and `negative_examples`: the source evidence boundary, acceptable alternate answers, and concrete failure cases.

## Hugging Face Deployment

This folder is self-contained and can be uploaded as its own Hugging Face dataset repository.

- Suggested repo id: `zarnite/reolyy-edit-intent-to-timeline`
- Example upload command: `python upload_to_huggingface.py --dataset-folder "push/high-ecosystem-need/Reolyy-Edit-Intent-to-Timeline" --repo-id "zarnite/reolyy-edit-intent-to-timeline"`
- You can swap the namespace by passing `--namespace YOUR_USERNAME` to the uploader.

## Local Evaluation

- Example eval command: `python run_priority_eval.py --dataset-folder "push/high-ecosystem-need/Reolyy-Edit-Intent-to-Timeline" --splits validation test`
- `prediction_template.jsonl` gives the required output shape for local or leaderboard-style submissions.

## License

This package is marked `apache-2.0`. The rows in this folder are original starter examples for benchmark packaging.