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benchmark_tasks/benchmark_summary.json

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+[
+  {
+    "name": "video_availability_prediction",
+    "description": "Predict whether a course includes video lectures from its text description",
+    "type": "binary_classification",
+    "metric": "F1 (macro), Accuracy",
+    "n_total": 1137,
+    "n_train": 822,
+    "n_dev": 176,
+    "n_test": 139,
+    "positive_rate": 1.0
+  },
+  {
+    "name": "cross_market_occupation_matching",
+    "description": "Match occupations between O*NET and ESCO systems",
+    "type": "retrieval / matching",
+    "metric": "Recall@k, MRR",
+    "n_total": 3039,
+    "n_train": 2124,
+    "n_dev": 423,
+    "n_test": 492
+  },
+  {
+    "name": "ai_exposure_prediction",
+    "description": "Predict AI automation exposure score (1-10) from occupation text",
+    "type": "regression",
+    "metric": "R², MAE, Spearman rho",
+    "n_total": 0,
+    "n_train": 0,
+    "n_dev": 0,
+    "n_test": 0,
+    "label_mean": 0,
+    "label_std": 0
+  },
+  {
+    "name": "cross_lingual_alignment",
+    "description": "Align same occupations described in different languages",
+    "type": "retrieval / bitext mining",
+    "metric": "Recall@1, Recall@5, MRR",
+    "n_total": 1500,
+    "n_train": 1067,
+    "n_dev": 204,
+    "n_test": 229,
+    "lang_pairs": [
+      "en↔uk",
+      "sv↔uk",
+      "en↔sv"
+    ]
+  },
+  {
+    "name": "temporal_drift_prediction",
+    "description": "Predict future occupation embedding from 3 historical versions",
+    "type": "regression (embedding prediction)",
+    "metric": "Cosine similarity, L2 distance to ground truth",
+    "n_total": 1016,
+    "n_train": 693,
+    "n_dev": 176,
+    "n_test": 147
+  }
+]