File size: 1,252 Bytes
a69f698 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | {
"inputs": [
"scripts/clinical-dataset/medstack-bedside-india-v2.jsonl",
"scripts/clinical-dataset/medstack-bedside-row-v2.jsonl"
],
"prefix": "scripts/clinical-dataset/eval5-splits/bedside",
"seed": 42,
"val_pct": 3,
"test_pct": 2,
"dedup": true,
"struct_cap": 300,
"generated_at": "2026-07-06T11:15:21.411Z",
"before": {
"rows_scanned": 1260000
},
"removed": {
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"empty_required_field": 0,
"exact_duplicates": 0,
"over_cap_skeletons": 0
},
"benchmark_guard": {
"train_only_match": [],
"rows_forced_to_train": 0,
"skeleton_conflicts": 0
},
"after": {
"rows_kept": 1260000,
"unique_skeletons": 1259481,
"new_exact_dup_pct": 0,
"new_structural_dup_pct": 0.04,
"splits": {
"train": 1196848,
"val": 37879,
"test": 25273
},
"split_pct": {
"train": 94.99,
"val": 3.01,
"test": 2.01
}
},
"leakage_guarantee": "split bucket = hash(structural output key); every exact/structural near-dup routes to one split. val/test skeletons disjoint from train by construction.",
"per_domain_coverage": {
"bedside_specialties": {
"train": 1196848,
"val": 37879,
"test": 25273
}
}
} |