Deterministic-Data/deterministic-trajectory-transitions-25k

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: $$seed = (run\id \times 7919 + batch\index \times 104729) \mod 2^{32}$$

Sample (JSONL)

{"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}