Datasets:
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requests>=2.31,<3 |
L2-2 operational terminal-nowcast contract for MmodalFire C06 |
The target is the completed-window persistent risk profile at the stated target time. Only observations strictly before that time are supplied. Infer the terminal state from the persistent spatial and temporal pattern in this history; do not assume an unobserved value was provided. |
Use temperature, visibility, and soot as the three hazard channels. Higher temperature and soot indicate greater risk; lower visibility indicates greater risk. Compare channels on the benchmark's calibrated risk scale learned from exposed training examples. Aggregate each channel robustly over the target window. runner... |
stability_phase is early, middle, late, or unstable according to when the final pair becomes persistent over the target history. winner_switch_count_bin is zero, one, or multiple. Apply this same terminal-nowcast contract to every C06 L2-2/S item. |
L2-2 operational terminal-nowcast contract for MmodalFire C06 |
The target is the completed-window persistent risk profile at the stated target time. Only observations strictly before that time are supplied. Infer the terminal state from the persistent spatial and temporal pattern in this history; do not assume an unobserved value was provided. |
Use temperature, visibility, and soot as the three hazard channels. Higher temperature and soot indicate greater risk; lower visibility indicates greater risk. Compare channels on the benchmark's calibrated risk scale learned from exposed training examples. Aggregate each channel robustly over the target window. runner... |
stability_phase is early, middle, late, or unstable according to when the final pair becomes persistent over the target history. winner_switch_count_bin is zero, one, or multiple. Apply this same terminal-nowcast contract to every C06 L2-2/S item. |
L2-2 operational terminal-nowcast contract |
The target is the completed-window robust risk profile at the stated target time. Only observations strictly before that time are supplied. Infer the terminal state from the persistent spatial and temporal pattern in this history; do not assume an unobserved value was provided. |
Use temperature, visibility, and soot as the three hazard channels. Higher temperature and soot indicate greater risk; lower visibility indicates greater risk. Compare channels on the benchmark's calibrated risk scale learned from exposed training examples. The main-set profile is robust to one potentially unreliable r... |
stability_phase is early, middle, late, or unstable according to when the final pair becomes persistent over the target history. winner_switch_count_bin is zero, one, or multiple. Apply this same terminal-nowcast contract to every main-set L2-2/S item. |
L2-2 operational terminal-nowcast contract |
The target is the completed-window robust risk profile at the stated target time. Full three-channel observations for every region are supplied only before the target. At the target, a fixed sparse sensor network supplies exact temperature, visibility, and soot measurements only in R1, R3, R5, and R7; infer the other r... |
Use temperature, visibility, and soot as the three hazard channels. Higher temperature and soot indicate greater risk; lower visibility indicates greater risk. Compare channels on the benchmark's calibrated risk scale learned from exposed training examples. The main-set profile is robust to one potentially unreliable r... |
stability_phase is early, middle, late, or unstable according to when the final pair becomes persistent over the target history. winner_switch_count_bin is zero, one, or multiple. Apply this same terminal-nowcast contract to every main-set L2-2/S item. |
FireWorldBench v2: independent I50 and S50
本仓库是可独立运行的 FireWorldBench v2。I 轨和 S 轨分别筛选 50 道逻辑题，不按编号配对。每道逻辑题包含 choice 和 open 两条输入，共 200 条 question 与逐一对应的 200 条原始 gold。题干、选项、gold 均保留源记录；I 轨补充原切片图、变量/时间/区域/色标元数据与无结构场数值。S 轨只保留经过原切片核对的任务变量。
- 数据：main_synthetic/full_test_A/questions.jsonl、gold.jsonl、selection_manifest.jsonl。
- 68 张 I 轨输入图统一采用暗蓝紫 RGB (0,0,128) 的低端与轻柔色带过渡，位于
main_synthetic/assets/final_optimized/，均按最终视觉标准从原切片绘制为全场图，无文字和图例。material.assets[*].image_index指向实际附件顺序，路径相对main_synthetic/。 - 推理与六项指标评分代码、schema、冻结合同及代码许可位于
evaluation/FireWorldBench-ICLR/。 - 格式见 DATA_FORMAT.md，数据许可见 DATA_LICENSE.md，数据卡见 dataset_card_public.md。
- 完整包：FireWorldBench-v2-I50-S50.zip。
运行
需要 Python 3.8+；从本仓库根目录运行：
python -m pip install -r evaluation/FireWorldBench-ICLR/requirements.txt
$env:OPENAI_BASE_URL = "你的 OpenAI 兼容接口地址"
$env:OPENAI_API_KEY = "你的接口密钥"
$env:OPENAI_MODEL = "模型名称"
python evaluation/FireWorldBench-ICLR/scripts/run_eval.py --split main_synthetic --data-dir .
纯文本模型加 --track S；视觉模型可选 I 轨或两轨。可用 --max-requests 2 做小规模连通检查。runner 只读 questions 和引用图片；评分器单独读取 gold。模型输入包含 query_context、区域与变量规则、每张附件编号、时间、切片和色标范围。正式题包不需要原始私有 .sf 才能运行。
本轮筛选覆盖 I 轨 L1-2（20）、L2-2（5）、L3-1（25），S 轨 L1-2（25）、L3-1（25）。没有宣称覆盖原题库的全部任务类型。推理代码源于 FireWorldBench-ICLR 提交 c2ed1d2c82084337cc88c901e25e27296e993233，复制后仅为 v2 输入协议调整；代码保留 Apache 2.0 许可证。
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