| --- |
| license: other |
| license_name: ase-sample-license |
| license_link: https://huggingface.co/datasets/Deterministic-Data/ase-trajectories/blob/main/LICENSE |
| tags: |
| - rl |
| - reinforcement-learning |
| - trajectory |
| - synthetic-data |
| - offline-rl |
| - imitation-learning |
| - behavioral-cloning |
| - deterministic |
| - sequential-decision |
| task_categories: |
| - reinforcement-learning |
| - tabular-regression |
| - time-series-forecasting |
| --- |
| |
| # ASE Syntax Extractions |
|
|
| *The machine does not dream. It computes — and in that computation, structure emerges. This is not simulated data; it is an extraction of axiomatic necessity.* |
|
|
| ## Overview |
| This dataset contains deterministic trajectory extractions from a closed, axiomatic system. Every frame is the output of a syntax engine where `(seed, tick, entity)` tuples are resolved through fixed transformations. |
|
|
| * **Deterministic:** The same `(run_id, batch_index)` generates identical output, bit-for-bit, regardless of platform. |
| * **Pure:** No human data, no scraping. Every byte is synthetic, produced by pure operation. |
|
|
| ## Formats |
| * **`.jsonl` (6 fields):** Minimal state transitions. |
| * `frame_id`: Sequence identifier. |
| * `context_hash_crc32`, `state_hash_crc32`, `action_hash_crc32`, `next_state_hash_crc32`: Deterministic fingerprints. |
| * `reward`: Scalar feedback signal. |
| * **`.csv` (90 dimensions):** Full expansion (`v0–v89`) including topology, behavioral indices, and system ecology metrics. |
|
|
| ## Determinism Logic |
| The engine seeds each batch from a compound key: |
| $$seed = (run\_id \times 7919 + batch\_index \times 104729) \mod 2^{32}$$ |
|
|
| | Property | Value | |
| | :--- | :--- | |
| | **Throughput** | 200+ ticks/sec | |
| | **Collision rate** | ~2.3×10⁻⁸ % per pair | |
| | **Stability** | Closed-loop, zero invalid states | |
|
|
| ## Sample (JSONL) |
| ```json |
| {"frame_id":104,"context_hash_crc32":2210934871,"state_hash_crc32":991823410,"action_hash_crc32":4022881193,"next_state_hash_crc32":88213410,"reward":-0.1832} |
| {"frame_id":105,"context_hash_crc32":2210934871,"state_hash_crc32":88213410,"action_hash_crc32":129384710,"next_state_hash_crc32":340281993,"reward":0.5011} |
