```json { "scores": [ { "id": "cnv_c80194fa49874911", "score": 92, "tier": "great", "rationale": "Establishes dataset purpose, grain, and key columns with concrete examples. Immediately orients analyst to what questions are answerable." }, { "id": "cnv_84d738f6ef2f47b1", "score": 88, "tier": "great", "rationale": "Complete column inventory with types, meanings, and profiles. Essential reference; enables downstream analysis planning." }, { "id": "cnv_c425d42a60564a30", "score": 85, "tier": "great", "rationale": "Precise row/column counts, 13.6-year span, 152 stocks. Concrete scope metrics; answers 'how much data' immediately." }, { "id": "cnv_ab70671bf8634819", "score": 72, "tier": "regular", "rationale": "Solid column classification (identifiers, dimensions, metrics, dates). Useful structure but no evidence queries; lower confidence." }, { "id": "cnv_7acdecfc1d534417", "score": 68, "tier": "regular", "rationale": "Sample rows show real data, company/ticker diversity, price ranges. Helpful for intuition but mostly confirmatory." }, { "id": "cnv_f839c5a3b5004baa", "score": 75, "tier": "regular", "rationale": "Confirms zero nulls across all 13 columns with query evidence. Important data-quality baseline; actionable for downstream work." }, { "id": "cnv_4559db97ab664103", "score": 78, "tier": "regular", "rationale": "No exact duplicates, 647 near-duplicate groups identified. Specific finding with query backing; flags potential data-cleaning need." }, { "id": "cnv_51e2f707cd3c4bbb", "score": 70, "tier": "regular", "rationale": "Cardinality counts (152 companies, 152 tickers, 1-to-1 mapping). Useful but straightforward; confirms grain." }, { "id": "cnv_7c5ff3d13a654b55", "score": 5, "tier": "not_useful", "rationale": "Placeholder response; no actual analysis performed. Failed to answer the question." }, { "id": "cnv_e02b98a40a9148ce", "score": 82, "tier": "great", "rationale": "Identifies mixed currencies/units as primary quality issue with specific examples. Actionable warning for price comparisons across exchanges." }, { "id": "cnv_b0a263318556499e", "score": 65, "tier": "regular", "rationale": "Shows uniform company distribution (0.82% each), constant metadata columns. Confirms balance but low surprise value." }, { "id": "cnv_ad3ac181c76843fb", "score": 80, "tier": "great", "rationale": "Price columns near-perfectly correlated (r≈0.9998). Explains expected structure; informs feature engineering decisions." }, { "id": "cnv_c3982f8455f84062", "score": 55, "tier": "not_useful", "rationale": "Partial answer with inference from truncated SQL. Shows SK Hynix highs but lacks confidence and completeness." }, { "id": "cnv_482cd8875dec4512", "score": 10, "tier": "not_useful", "rationale": "Placeholder with no content. Claims high confidence but delivers nothing." }, { "id": "cnv_b8b03a7388474d92", "score": 25, "tier": "not_useful", "rationale": "Describes table structure but admits no actual time-series analysis performed. Zero evidence queries; fails to answer question." }, { "id": "cnv_802f0b33e0844f0a", "score": 40, "tier": "not_useful", "rationale": "Partial answer covering only 5 of 152 companies. Incomplete data; investigation stopped early without justification." }, { "id": "cnv_64723115b6c840ed", "score": 79, "tier": "great", "rationale": "Identifies exchange suffix as natural segmentation (19 segments). Concrete breakdown with query evidence; enables meaningful grouping." }, { "id": "cnv_3ae2d324f2c54fec", "score": 8, "tier": "not_useful", "rationale": "Placeholder only. Claims 11 evidence queries but delivers no finding or insight." } ] } ```