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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.

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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/
        └── *.json

Dataset 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.