| [ |
| { |
| "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 |
| } |
| ] |
