---
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}