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pretty_name: Biosecurity Agent Production Worlds
license: apache-2.0
task_categories:
- other
language:
- en
tags:
- biosecurity
- agent-trajectories
configs:
- config_name: targets
data_files:
- split: train
path: data/targets.parquet
- config_name: entities
data_files:
- split: train
path: data/entities.parquet
- config_name: world_snapshots
data_files:
- split: train
path: data/world_snapshots.parquet
- config_name: source_events
data_files:
- split: train
path: data/source_events.parquet
- config_name: relationships
data_files:
- split: train
path: data/relationships.parquet
- config_name: agent_runs
data_files:
- split: train
path: data/agent_runs.parquet
- config_name: simulation_rollouts
data_files:
- split: train
path: data/simulation_rollouts.parquet
- config_name: protections
data_files:
- split: train
path: data/protections.parquet
- config_name: source_registry
data_files:
- split: train
path: data/source_registry.parquet
---
# Biosecurity Agent Production Worlds
A dataset of target-conditioned biosecurity worlds, live intelligence, real agent trajectories, and predictive simulations generated with Biosecurity Agent. It is a relational collection for studying how an agent builds and updates evidence-grounded worlds around specific targets.
## Configurations
| Configuration | Contents | Rows |
| --- | --- | ---: |
| `targets` | Public-real and explicitly synthetic targets | 27 |
| `entities` | Normalized world entities | 84 |
| `world_snapshots` | Observed and simulated temporal states | 29 |
| `source_events` | Retrieved/discovered source records and normalized claims | 90 |
| `relationships` | Evidence-linked target and entity relationships | 66 |
| `agent_runs` | Observable structured Codex run results | 27 |
| `simulation_rollouts` | Seeded defensive forecast forks | 18 |
| `protections` | Evidence-backed defensive suggestions | 10 |
| `source_registry` | Source access, health, rights, and limitation metadata | 19 |
The dataset also contains 170 observable agent lifecycle events in `traces/agent_traces.jsonl`. Stable IDs—including `target_set_id`, `world_id`, `target_id`, `snapshot_id`, `source_event_id`, and `agent_run_id`—join the configurations. JSON Schemas are provided under `schemas/`; `MANIFEST.json` records frozen provenance and row counts.
GitHub: https://github.com/Forsy-AI/biosecurity-agent |