| { |
| "language": [ |
| "python", |
| "rust", |
| "julia" |
| ], |
| "license": "mit", |
| "multilinguality": false, |
| "size_categories": [ |
| "100K<n<1M" |
| ], |
| "task_categories": [ |
| "reinforcement-learning", |
| "time-series-forecasting" |
| ], |
| "task_ids": [ |
| "time-series-forecasting" |
| ], |
| "pretty_name": "Spikenaut SNN Telemetry - Action-Proposal Trajectories + GPU/Mining/HFT Telemetry", |
| "description": "v3 restructures this corpus into an action-proposal trajectory dataset for the Spikenaut Supervisor control stack (learned policy proposes, deterministic safety filter is final authority): state_telemetry, outcomes, action_proposals, safety_filter_log, encoding_params, plus clean gpu_telemetry_v3/qubic_signals derivations. All v2 configs (993,298 records of GPU, mining, and HFT paper-trading telemetry, captured March 2026 on an NVIDIA RTX 5080) remain published unchanged. See the Changelog in README.md.", |
| "total_records": 993298, |
| "record_breakdown": { |
| "full_data/neuromorphic_data.jsonl": 813973, |
| "full_data/node_sync_harvest.jsonl": 120322, |
| "full_data/ghost_market_log.jsonl": 31573, |
| "full_data/qubic_ticks_snn.jsonl": 27430 |
| }, |
| "serving_note": "All nine configs load from Parquet. The four v2 configs are served from fidelity-verified conversions under v2_parquet/ because a script-less Hub dataset applies ONE builder (inferred from the first config's files) to every config, so JSONL and Parquet configs cannot share a card. full_data/*.jsonl remain the canonical cleaned exports, byte-untouched. Only representation change: qubic_ticks.timestamp is timestamp[ms] (was timestamp[s]); values identical.", |
| "v3": { |
| "schema_version": "3.0.0", |
| "teacher_policy_version": "1.0.0", |
| "built_by": "spikenaut-etl build-v3 (rmems/spikenaut-telemetry-etl PR #7, merge commit 983323bdd6679832747009c6f4b8d17c0d2ea961)", |
| "note": "v3 rows are derived from full_data/neuromorphic_data.jsonl and are not additional records; action_proposals and safety_filter_log are typed empty schema artifacts (zero teacher labels over the v2 backfill by design).", |
| "episode_len": 4096, |
| "outcome_horizon_steps": 64, |
| "n_episodes": 199, |
| "embargo_episodes": ["gpu-000139", "gpu-000169"], |
| "config_rows": { |
| "gpu_telemetry_v3": {"full": 813973}, |
| "qubic_signals": {"full": 813973}, |
| "state_telemetry": {"train": 569344, "validation": 118784, "test": 117653}, |
| "outcomes": {"train": 569344, "validation": 118784, "test": 117653}, |
| "action_proposals": {"train": 0, "validation": 0, "test": 0}, |
| "safety_filter_log": {"train": 0, "validation": 0, "test": 0}, |
| "encoding_params": {"train": 36} |
| } |
| }, |
| "generated_by": "https://github.com/rmems/spikenaut-telemetry-etl", |
| "collected_by": "https://github.com/rmems/Theseus-Quarry", |
| "tags": [ |
| "blockchain", |
| "neural-networks", |
| "spiking-neural-networks", |
| "snn", |
| "kaspa", |
| "monero", |
| "qubic", |
| "dynex", |
| "quai", |
| "verus", |
| "telemetry", |
| "gpu", |
| "mining", |
| "hft", |
| "time-series", |
| "neuromorphic", |
| "fpga", |
| "reinforcement-learning", |
| "rlds", |
| "action-proposal", |
| "safety-filter", |
| "vllm", |
| "nvml" |
| ] |
| } |
|
|
