{ "3": { "industry": "Games/recreation", "decision": "keep" }, "6": { "industry": "Other", "tags": "OCR", "decision": "keep" }, "11": { "industry": "Healthcare", "decision": "keep" }, "12": { "industry": "Other", "tags": "OCR", "decision": "keep" }, "14": { "tags": "OCR", "industry": "Other", "decision": "keep" }, "15": { "decision": "keep" }, "16": { "industry": "Other", "decision": "keep", "tags": "OCR" }, "18": { "industry": "Other", "decision": "keep", "tags": "OCR" }, "20": { "decision": "keep", "industry": "Other", "tags": "OCR" }, "22": { "industry": "Other", "decision": "keep", "tags": "OCR" }, "23": { "industry": "Other", "decision": "keep", "tags": "demographics" }, "28": { "industry": "Other", "decision": "keep", "tags": "OCR" }, "30": { "industry": "Other", "tags": "OCR", "decision": "keep" }, "31": { "decision": "keep" }, "32": { "decision": "", "industry": "Image/audio", "tags": "needs-review", "notes": "gpt: Data collected from multiple writers; requires group-aware splits.", "needs_strat": true, "strat_col": "writer" }, "36": { "industry": "Image/audio", "decision": "keep" }, "37": { "decision": "keep" }, "46": { "industry": "Biology/genomics", "decision": "keep" }, "50": { "industry": "Games/recreation", "decision": "keep" }, "60": { "industry": "Other", "decision": "keep", "tags": "synthetic" }, "137": { "industry": "Games/recreation", "decision": "keep" }, "151": { "decision": "drop", "industry": "Energy/utilities", "tags": "non-IID,time-aware", "notes": "electricity \u2014 time-aware", "needs_strat": true, "strat_col": "date" }, "179": { "industry": "Other", "tags": "demographics", "decision": "keep" }, "181": { "industry": "Biology/genomics", "decision": "keep" }, "182": { "industry": "Other", "tags": "satellite", "decision": "keep" }, "184": { "decision": "keep" }, "185": { "decision": "keep", "industry": "Sport", "tags": "needs-review", "notes": "gpt: Players may have multiple entries affecting the split.", "needs_strat": false, "strat_col": "Player" }, "301": { "decision": "keep", "industry": "Other", "tags": "climate", "notes": "Idnetify potential confounding vars", "needs_strat": true, "strat_col": "suspiciously low" }, "333": { "industry": "Other", "decision": "keep", "tags": "synthetic" }, "334": { "industry": "Other", "decision": "keep", "tags": "synthetic" }, "335": { "industry": "Other", "decision": "keep", "tags": "synthetic" }, "375": { "decision": "drop", "industry": "Image/audio", "tags": "non-IID,speech", "notes": "JapaneseVowels \u2014 needs per-speaker split", "needs_strat": true, "strat_col": "speaker" }, "930": { "industry": "Text/NLP", "decision": "keep" }, "1037": { "industry": "Other", "decision": "keep", "tags": "demographics" }, "1038": { "decision": "keep", "industry": "Other" }, "1043": { "industry": "Other", "tags": "demographics", "decision": "keep" }, "1044": { "decision": "drop", "industry": "Biology/ecology", "tags": "needs-review", "notes": "rule: eye-tracking sequences \u2014 likely per-subject | gpt: No indication of group entities in the dataset.", "needs_strat": false, "strat_col": "" }, "1049": { "industry": "Manufacturing/quality", "decision": "keep" }, "1050": { "industry": "Manufacturing/quality", "decision": "keep" }, "1063": { "industry": "Manufacturing/quality", "decision": "keep" }, "1067": { "industry": "Manufacturing/quality", "decision": "keep" }, "1120": { "decision": "keep", "industry": "Physical sciences", "tags": "synthetic", "notes": "rule: may have per-event grouping | gpt: No group entities present in the dataset.", "needs_strat": false, "strat_col": "" }, "1444": { "decision": "keep" }, "1453": { "decision": "keep" }, "1459": { "industry": "Other", "tags": "OCR", "decision": "keep" }, "1471": { "decision": "keep", "industry": "", "tags": "not-sure,", "notes": "rule: EEG recording sessions | gpt: Data is from a continuous EEG measurement, likely from the same subjects.", "needs_strat": true, "strat_col": "time" }, "1475": { "decision": "keep", "industry": "Other", "tags": "mathematics" }, "1476": { "industry": "Energy/utilities", "decision": "keep" }, "1479": { "decision": "keep", "industry": "Other", "tags": "synthetic" }, "1481": { "industry": "Games/recreation", "decision": "keep" }, "1487": { "decision": "keep", "industry": "", "tags": "needs-review", "notes": "gpt: Data collected over time; potential for temporal correlation.", "needs_strat": false, "strat_col": "" }, "1489": { "decision": "keep", "industry": "Image/audio", "tags": "", "notes": "rule: description mentions: 'speaker independent' | gpt: Phoneme data likely comes from the same speakers, creating groups.", "needs_strat": false, "strat_col": "Class" }, "1491": { "industry": "Biology/ecology", "decision": "keep" }, "1492": { "industry": "Biology/ecology", "decision": "keep" }, "1493": { "industry": "Biology/ecology", "decision": "keep" }, "1494": { "industry": "Physics/chemistry/energy", "decision": "keep" }, "1496": { "industry": "Other", "tags": "synthetic", "decision": "keep" }, "1497": { "decision": "keep", "industry": "Tech/Web", "tags": "needs-review", "notes": "gpt: Data collected from a robot navigating, likely has temporal dependencies.", "needs_strat": false, "strat_col": "" }, "1501": { "decision": "keep", "industry": "Other", "tags": "OCR", "notes": "gpt: Data from multiple individuals; likely to have group dependencies.", "needs_strat": false, "strat_col": "" }, "1507": { "industry": "Other", "tags": "synthetic", "decision": "keep" }, "1509": { "decision": "keep", "industry": "Other", "tags": "har", "notes": "gpt: Multiple rows from the same participants may lead to information leakage.", "needs_strat": true, "strat_col": "Class" }, "1510": { "decision": "keep" }, "1548": { "tags": "synthetic", "industry": "Other", "decision": "keep" }, "1552": { "decision": "keep", "industry": "Other", "tags": "synthetic" }, "4538": { "decision": "keep", "industry": "Other", "tags": "human-action-recognition", "notes": "GesturePhase Processed \u2014 NOT time-aware", "needs_strat": true, "strat_col": "" }, "6332": { "decision": "keep", "industry": "Manufacturing/quality", "tags": "needs-review", "notes": "gpt: Multiple rows may come from the same customer.", "needs_strat": true, "strat_col": "timestamp" }, "40478": { "decision": "keep" }, "40497": { "decision": "keep" }, "40498": { "industry": "Retail", "decision": "drop", "notes": "duplicate" }, "40499": { "industry": "Image/audio", "decision": "keep" }, "40646": { "industry": "Biology/genomics", "decision": "keep" }, "40649": { "industry": "Biology/genomics", "decision": "keep" }, "40668": { "industry": "Games/recreation", "decision": "keep" }, "40670": { "industry": "Biology/genomics", "decision": "keep" }, "40677": { "decision": "keep", "tags": "OCR" }, "40678": { "decision": "keep", "tags": "OCR" }, "40707": { "decision": "keep", "industry": "", "tags": "needs-review", "notes": "gpt: Potentially multiple rows per patient based on medical features.", "needs_strat": true, "strat_col": "referral-ID?" }, "40708": { "decision": "keep", "industry": "", "tags": "needs-review", "notes": "gpt: Similar to allbp, likely multiple rows per patient.", "needs_strat": false, "strat_col": "age" }, "40713": { "decision": "drop", "industry": "", "tags": "needs-review", "notes": "Duplicate of allrep", "needs_strat": true, "strat_col": "age" }, "40900": { "decision": "keep", "industry": "Other", "tags": "satellite" }, "40966": { "decision": "keep", "industry": "Biology/genomics", "tags": "needs-review", "notes": "gpt: Multiple rows per mouse in the dataset.", "needs_strat": true, "strat_col": "MouseID" }, "40975": { "decision": "keep" }, "40982": { "industry": "Manufacturing/quality", "decision": "keep" }, "40983": { "industry": "Other", "tags": "satellite", "decision": "keep" }, "40984": { "decision": "drop", "notes": "duplicate" }, "40994": { "industry": "Physical sciences", "tags": "climate" }, "41027": { "decision": "keep" }, "41143": { "decision": "keep", "industry": "Other", "tags": "OCR" }, "41144": { "industry": "Other", "decision": "keep" }, "41145": { "industry": "Biology/genomics", "decision": "keep" }, "41146": { "industry": "Other", "decision": "keep" }, "41156": { "industry": "Other", "decision": "keep", "tags": "demographics" }, "41169": { "decision": "keep", "industry": "Other" }, "41671": { "tags": "synthetic", "decision": "keep" }, "41705": { "industry": "Other", "decision": "keep", "tags": "synthetic" }, "41718": { "decision": "drop", "industry": "", "tags": "needs-review", "notes": "gpt: Time-series data; rows are dependent on time.", "needs_strat": true, "strat_col": "Timestamp" }, "41763": { "decision": "drop", "industry": "", "tags": "needs-review", "notes": "gpt: Time-series data; rows are dependent on time.", "needs_strat": true, "strat_col": "Timestamp" }, "41833": { "decision": "drop", "industry": "Finance/insurance", "tags": "non-IID,time-aware", "notes": "FOREX cadjpy hour \u2014 time-aware", "needs_strat": true, "strat_col": "Timestamp" }, "41839": { "decision": "drop", "industry": "Finance/insurance", "tags": "non-IID,time-aware", "notes": "FOREX cadjpy day \u2014 time-aware", "needs_strat": true, "strat_col": "Timestamp" }, "41843": { "decision": "drop", "industry": "", "tags": "needs-review", "notes": "gpt: Time-series data; rows are dependent on time.", "needs_strat": true, "strat_col": "Timestamp" }, "41972": { "industry": "Image/audio", "decision": "keep", "tags": "satellite" }, "42464": { "industry": "Agriculture", "decision": "keep" }, "43582": { "decision": "keep", "industry": "", "tags": "needs-review", "notes": "gpt: Medical dataset; likely multiple rows per patient.", "needs_strat": false, "strat_col": "" }, "43892": { "industry": "Other", "tags": "demographics", "decision": "keep" }, "44122": { "decision": "keep" }, "44123": { "decision": "keep", "tags": "real estate" }, "44124": { "decision": "keep", "industry": "Other", "tags": "demographics" }, "44130": { "decision": "keep", "industry": "Biology/genomics", "tags": "needs-review", "notes": "rule: eye-tracking sequences \u2014 likely per-subject | gpt: Multiple rows likely correspond to the same assignment or subject.", "needs_strat": false, "strat_col": "assgNo" }, "44160": { "decision": "keep", "industry": "Retail" }, "44162": { "industry": "Government/public", "decision": "keep" }, "44186": { "decision": "keep" }, "44489": { "industry": "Other", "decision": "keep", "tags": "Satellite" }, "44971": { "decision": "keep", "industry": "Industry & Science" }, "45040": { "decision": "keep", "industry": "", "tags": "synthetic", "notes": "gpt: Multiple rows likely correspond to the same patient or subject.", "needs_strat": false, "strat_col": "Diagnosis" }, "45052": { "industry": "Healthcare", "decision": "keep" }, "45067": { "decision": "keep", "industry": "Other", "tags": "demographics", "notes": "gpt: Users may have multiple entries, indicating potential group entities.", "needs_strat": false, "strat_col": "location" }, "45068": { "decision": "drop" }, "45075": { "decision": "keep" }, "45536": { "decision": "keep", "industry": "Other", "tags": "alimentation" }, "45537": { "industry": "Other", "decision": "keep", "tags": "alimentation" }, "45538": { "industry": "Other", "tags": "alimentation", "decision": "keep" }, "45540": { "industry": "Other", "tags": "alimentation", "decision": "keep" }, "45558": { "industry": "Other", "decision": "keep", "tags": "astronomy" }, "45578": { "industry": "Other", "tags": "real estate", "decision": "keep" }, "46441": { "decision": "keep", "industry": "Finance/insurance", "tags": "", "notes": "Credit_Score \u2014 NOT time-aware (false positive)", "needs_strat": true, "strat_col": "customer_id" }, "46597": { "decision": "keep" }, "46906": { "decision": "keep", "industry": "Physical sciences" }, "46908": { "decision": "keep", "industry": "Transport" }, "46912": { "industry": "Biology/genomics", "decision": "keep" }, "46922": { "decision": "keep", "industry": "Healthcare", "tags": "needs-review", "notes": "rule: patients have multiple visits | gpt: No indication of group entities in the dataset.", "needs_strat": false, "strat_col": "" }, "46930": { "decision": "keep", "industry": "", "tags": "alimentation", "notes": "manually added; catboost miss is model-side" }, "46933": { "industry": "Healthcare", "decision": "keep" }, "46937": { "decision": "keep" }, "46939": { "decision": "keep" }, "46941": { "decision": "keep" }, "46955": { "tags": "astronomy", "decision": "keep" }, "46956": { "industry": "Physical sciences", "decision": "keep" }, "46958": { "industry": "Biology/genomics", "decision": "keep" }, "46960": { "decision": "keep", "industry": "Education", "tags": "TabArena", "notes": "students_dropout \u2014 Education, not Government", "needs_strat": true, "strat_col": "" }, "46969": { "industry": "Web/security", "needs_strat": false, "decision": "keep" }, "46979": { "industry": "Manufacturing/quality", "decision": "keep" }, "46980": { "decision": "keep" }, "44091": { "decision": "drop", "notes": "duplicate" }, "40691": { "decision": "drop", "notes": "duplicate" }, "44972": { "decision": "keep", "industry": "Industry & Science" }, "46905": { "decision": "keep", "notes": "manually added to mix; tabdpt+tabicl_v2 miss are model-side" }, "45539": { "decision": "keep", "notes": "manually added; catboost miss is model-side" }, "458": { "decision": "keep", "notes": "manually added; xgboost miss is model-side" }, "46356": { "decision": "keep", "notes": "manually added; lightgbm miss is model-side" }, "54": { "decision": "keep", "notes": "manually added; xgboost miss is model-side" } }