菜单
Compute abidlabs/mean_iou2 via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of abidlabs/mean_iou2.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | abidlabs-mean-iou2 |
| description | Compute abidlabs/mean_iou2 via the HuggingFace `evaluate` library. Use when the user has predictions + references and wants the canonical implementation of abidlabs/mean_iou2. |
| metadata | {"skill_kind":"metric","source_lib":"huggingface-evaluate","hf_module":"abidlabs/mean_iou2","source":"library_introspection"} |
Metric
abidlabs/mean_iou2from the HuggingFaceevaluatelibrary.
User asks to compute abidlabs/mean_iou2 or wants HF evaluate's canonical version.
import evaluate
metric = evaluate.load("abidlabs/mean_iou2")
result = metric.compute(predictions=preds, references=refs)
print(result)
abidlabs/mean_iou2 matches HF — version conventions vary.average=, lang=, model_type=); read the metric card before reporting numbers.Open-weights chemistry reasoning model + verifiable reward functions from FutureHouse's ether0 (arXiv 2506.17238). Use to score model-generated chemistry outputs (SMILES validity, molecular completion, synthesis reasoning) against ground truth, or to run the open-weights ether0 model itself for chemistry reasoning. Also useful for visualizing molecules and reactions from SMILES.
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