AICoevolution/s64-orbital-v1
S64 Orbital Mechanics Dataset (Paper 03) This dataset accompanies Paper 03 and contains minimal reproducible artifacts plus curated JSON run outputs used to generate the figures. Repository Structure s64-orbital-v1/ │ ├── README.md ├── S64-orbital-paper.md ├── references.bib ├── title-block.tex ├── render.bat │ ├── open_source/ │ ├── semantic_telemetry.py │ └── README.md │ └── analysis/ ├── scripts/ │ ├── 09_steering_experiment.py │ ├──… See the full description on the dataset page: https://huggingface.co/datasets/AICoevolution/s64-orbital-v1.
S64 Orbital Mechanics Dataset (Paper 03)
This dataset accompanies Paper 03 and contains minimal reproducible artifacts plus curated JSON run outputs used to generate the figures.
Repository Structure
s64-orbital-v1/
│
├── README.md
├── S64-orbital-paper.md
├── references.bib
├── title-block.tex
├── render.bat
│
├── open_source/
│ ├── semantic_telemetry.py
│ └── README.md
│
└── analysis/
├── scripts/
│ ├── 09_steering_experiment.py
│ ├── 15_human_session_comparison.py
│ └── 16_human_fig3_merged.py
│
└── datasets/
└── *.jsonDataset Format (JSON)
Each analysis/datasets/*.json file is a self-contained run export with this high-level schema:
- `metadata`: run configuration (timestamp, LLMs, conditions tested, backends used, SDK URL, etc.)
- `results`: list of per-condition results
- `condition_name`: e.g.
A_baseline,E_real_metrics - `condition_description`
- `turns`: turn-by-turn conversation trace
- `turn_number`
- `user_message` / `assistant_response` (may be removed in sanitized releases)
- `injected_metrics`: metrics shown to the model (if any)
- `real_metrics`: measured values per turn, typically including:
- *`sgi_`**: Semantic Grounding Index aggregates / per-turn series
- *`velocity_`**: angular velocity aggregates / per-turn series
- *`orbital_velocity_
**, **contextdrift`, `dc_`** - `per_turn_context_id`, `per_turn_context_state`
HuggingFace Size Limits
HuggingFace rejects files larger than 10 MiB unless Git LFS is used. The deployment script creates an HF-specific bundle by pruning any files over 10 MiB before pushing.
Exclusions (Intentional)
- Binary figures (PNG/PDF) are not included in the public research bundle by default.
- Some internal S64-dependent analysis assets are intentionally excluded.
License
Released under CC BY 4.0.
