```json { "scores": [ { "id": "cnv_6febdfea772c4073", "score": 72, "tier": "regular", "rationale": "Solid orientation: 150 rows, 10 columns, no time period. Useful but expected for first look." }, { "id": "cnv_17297d17dd1d46bb", "score": 68, "tier": "regular", "rationale": "Clear column reference guide. Useful reference but lacks evidence queries and no surprising insights." }, { "id": "cnv_5d64196e348c4456", "score": 65, "tier": "regular", "rationale": "Good context on dataset purpose and row meaning. Informative but generic for classic Iris dataset." }, { "id": "cnv_6ef845ef5bf94ff9", "score": 70, "tier": "regular", "rationale": "Systematic column classification with ranges. Useful reference structure, no surprises." }, { "id": "cnv_38d932a357a64a78", "score": 62, "tier": "regular", "rationale": "Sample rows shown with typical ranges. Helpful but low signal; mostly confirms expectations." }, { "id": "cnv_7a22ac044c354796", "score": 75, "tier": "regular", "rationale": "Confirms 100% completeness across all columns. Important data-quality baseline, well-evidenced." }, { "id": "cnv_1b9146582618499f", "score": 72, "tier": "regular", "rationale": "No duplicates found. Solid quality check with evidence, but expected for curated dataset." }, { "id": "cnv_a84435481322455b", "score": 68, "tier": "regular", "rationale": "Species has 3 distinct values, perfectly balanced. Useful but straightforward finding." }, { "id": "cnv_dd7a6e3aca674666", "score": 78, "tier": "regular", "rationale": "Detailed distribution stats (min/max/mean/median/SD) for all 4 metrics. Concrete, well-evidenced baseline." }, { "id": "cnv_5131ecc58fce475e", "score": 76, "tier": "regular", "rationale": "Perfect 33.3% balance across 3 species. Concrete, actionable for modeling, well-evidenced." }, { "id": "cnv_6882167d1672430a", "score": 82, "tier": "great", "rationale": "Comprehensive quality audit: zero missing, no outliers, biologically plausible ranges. 5 evidence queries, highly actionable." }, { "id": "cnv_030b428537be4ae7", "score": 85, "tier": "great", "rationale": "Petal length-width correlation 0.963 is striking. Concrete numbers, actionable for feature engineering, well-evidenced." }, { "id": "cnv_92181414d06b4396", "score": 88, "tier": "great", "rationale": "Petal length shows zero overlap across species (1.0-1.9 vs 3.0-5.1 vs 4.5-6.9). Highly specific, actionable for classification." }, { "id": "cnv_0989050f17914724", "score": 84, "tier": "great", "rationale": "Identifies petal length as most discriminative metric with specific extremes (ID 23: 1.0cm, ID 118: 6.9cm). Concrete, actionable." }, { "id": "cnv_1c314012c01c4473", "score": 80, "tier": "great", "rationale": "Clear segmentation by species with distinct morphological profiles. Concrete differences, actionable for stratified analysis." }, { "id": "cnv_1d9fce58e7d54fde", "score": 92, "tier": "great", "rationale": "Counterintuitive finding: Iris-setosa has inverted sepal ratio (0.683 vs 0.467/0.456). Surprising, specific, 6 evidence queries." }, { "id": "cnv_37167828ebbf4ee2", "score": 79, "tier": "regular", "rationale": "Three good analytical questions proposed. Useful direction-setting but somewhat generic; lacks concrete findings." } ] } ```