{
  "acquisition": {
    "acquired_at": "2026-06-28T00:13:07+00:00",
    "agent_id": "Claude-extra",
    "dedupe_fingerprint": "ebef2513b2d0b0acf76d758f12968613560e94d3",
    "source_dataset_id": "carData/Rossi",
    "source_dataset_name": "Rossi et al.'s Criminal Recidivism Data",
    "source_platform": "rdatasets",
    "source_rows": 432,
    "source_target_column_original": "week",
    "source_url": "https://vincentarelbundock.github.io/Rdatasets/csv/carData/Rossi.csv",
    "staged_rows": 432,
    "staging_path": "/home/ubuntu/hyper/data/tabular/real_regression_sources/rdatasets-cardata-rossi-week.csv",
    "tool": "models.tools.acquire_regression_extra_sources"
  },
  "counts": {
    "dropped_feature_count": 0,
    "n_features": 61,
    "original_columns": 62,
    "original_rows": 432,
    "rows_after_target_cleanup": 432,
    "selected_rows": 432,
    "strata_count": 23,
    "test_rows": 72,
    "train_rows": 360
  },
  "created_at": "2026-06-28T00:13:07+00:00",
  "dataset_hash": "307963deed8ebe73",
  "dedupe_fingerprint": "ebef2513b2d0b0acf76d758f12968613560e94d3",
  "dropped_feature_columns": [],
  "feature_columns": [
    "arrest",
    "fin",
    "age",
    "race",
    "wexp",
    "mar",
    "paro",
    "prio",
    "educ",
    "emp1",
    "emp2",
    "emp3",
    "emp4",
    "emp5",
    "emp6",
    "emp7",
    "emp8",
    "emp9",
    "emp10",
    "emp11",
    "emp12",
    "emp13",
    "emp14",
    "emp15",
    "emp16",
    "emp17",
    "emp18",
    "emp19",
    "emp20",
    "emp21",
    "emp22",
    "emp23",
    "emp24",
    "emp25",
    "emp26",
    "emp27",
    "emp28",
    "emp29",
    "emp30",
    "emp31",
    "emp32",
    "emp33",
    "emp34",
    "emp35",
    "emp36",
    "emp37",
    "emp38",
    "emp39",
    "emp40",
    "emp41",
    "emp42",
    "emp43",
    "emp44",
    "emp45",
    "emp46",
    "emp47",
    "emp48",
    "emp49",
    "emp50",
    "emp51",
    "emp52"
  ],
  "feature_encodings": {
    "age": {
      "impute_value": 23.0,
      "kind": "numeric"
    },
    "arrest": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "educ": {
      "impute_value": 3.0,
      "kind": "numeric"
    },
    "emp1": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp10": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp11": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp12": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp13": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp14": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp15": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp16": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp17": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp18": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp19": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp2": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp20": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp21": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp22": {
      "impute_value": 0.5,
      "kind": "numeric"
    },
    "emp23": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp24": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp25": {
      "impute_value": 0.5,
      "kind": "numeric"
    },
    "emp26": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp27": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp28": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp29": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp3": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp30": {
      "impute_value": 0.5,
      "kind": "numeric"
    },
    "emp31": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp32": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp33": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp34": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp35": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp36": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp37": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp38": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp39": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp4": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp40": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp41": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp42": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp43": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp44": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp45": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp46": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp47": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp48": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp49": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp5": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp50": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp51": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp52": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "emp6": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp7": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp8": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "emp9": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "fin": {
      "impute_value": 0.5,
      "kind": "numeric"
    },
    "mar": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "paro": {
      "impute_value": 1.0,
      "kind": "numeric"
    },
    "prio": {
      "impute_value": 2.0,
      "kind": "numeric"
    },
    "race": {
      "impute_value": 0.0,
      "kind": "numeric"
    },
    "wexp": {
      "impute_value": 1.0,
      "kind": "numeric"
    }
  },
  "feature_scaling": {
    "constant_columns": [],
    "max": [
      1.0,
      1.0,
      44.0,
      1.0,
      1.0,
      1.0,
      1.0,
      18.0,
      6.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0,
      1.0
    ],
    "method": "minmax over cleaned source rows before sampling",
    "min": [
      0.0,
      0.0,
      17.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      2.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0,
      0.0
    ],
    "range": [
      0.0,
      1.0
    ]
  },
  "hash_algorithm": "sha256:first16",
  "headers_removed_from_csv": true,
  "n_features": 61,
  "origin": "real",
  "original_headers": [
    "arrest",
    "fin",
    "age",
    "race",
    "wexp",
    "mar",
    "paro",
    "prio",
    "educ",
    "emp1",
    "emp2",
    "emp3",
    "emp4",
    "emp5",
    "emp6",
    "emp7",
    "emp8",
    "emp9",
    "emp10",
    "emp11",
    "emp12",
    "emp13",
    "emp14",
    "emp15",
    "emp16",
    "emp17",
    "emp18",
    "emp19",
    "emp20",
    "emp21",
    "emp22",
    "emp23",
    "emp24",
    "emp25",
    "emp26",
    "emp27",
    "emp28",
    "emp29",
    "emp30",
    "emp31",
    "emp32",
    "emp33",
    "emp34",
    "emp35",
    "emp36",
    "emp37",
    "emp38",
    "emp39",
    "emp40",
    "emp41",
    "emp42",
    "emp43",
    "emp44",
    "emp45",
    "emp46",
    "emp47",
    "emp48",
    "emp49",
    "emp50",
    "emp51",
    "emp52",
    "target"
  ],
  "output_headers": [
    "arrest",
    "fin",
    "age",
    "race",
    "wexp",
    "mar",
    "paro",
    "prio",
    "educ",
    "emp1",
    "emp2",
    "emp3",
    "emp4",
    "emp5",
    "emp6",
    "emp7",
    "emp8",
    "emp9",
    "emp10",
    "emp11",
    "emp12",
    "emp13",
    "emp14",
    "emp15",
    "emp16",
    "emp17",
    "emp18",
    "emp19",
    "emp20",
    "emp21",
    "emp22",
    "emp23",
    "emp24",
    "emp25",
    "emp26",
    "emp27",
    "emp28",
    "emp29",
    "emp30",
    "emp31",
    "emp32",
    "emp33",
    "emp34",
    "emp35",
    "emp36",
    "emp37",
    "emp38",
    "emp39",
    "emp40",
    "emp41",
    "emp42",
    "emp43",
    "emp44",
    "emp45",
    "emp46",
    "emp47",
    "emp48",
    "emp49",
    "emp50",
    "emp51",
    "emp52",
    "target"
  ],
  "retrieved_at": "2026-06-28T00:12:15+00:00",
  "sampling": {
    "final_max_rows": 2000,
    "method": "quota stratified by target distribution plus high-variance feature quantile bins",
    "minimum_final_rows": 101,
    "minimum_test_to_train_ratio_when_small": 0.2,
    "seed": 827081939,
    "source_read_max_rows": null,
    "test_target_rows": 1000,
    "train_target_rows": 1000
  },
  "sha256": "307963deed8ebe7382ce9858d50c12612aa00c164305e0d55098d2827f3b2ac8",
  "source_dataset_id": "carData/Rossi",
  "source_dataset_name": "Rossi et al.'s Criminal Recidivism Data",
  "source_family": "rossi-et",
  "source_file": "rdatasets-cardata-rossi-week.csv",
  "source_license": "GPL (R package carData)",
  "source_modified_at": "2026-06-28T00:13:07+00:00",
  "source_path": "/home/ubuntu/hyper/data/tabular/real_regression_sources/rdatasets-cardata-rossi-week.csv",
  "source_platform": "rdatasets",
  "source_real_data": true,
  "source_resource_id": null,
  "source_rows": 432,
  "source_size_bytes": 100398,
  "source_target_column_original": "week",
  "source_url": "https://vincentarelbundock.github.io/Rdatasets/csv/carData/Rossi.csv",
  "staged_rows": 432,
  "staging_path": "/home/ubuntu/hyper/data/tabular/real_regression_sources/rdatasets-cardata-rossi-week.csv",
  "target_column": "target",
  "target_generation": "original_numeric_column",
  "target_is_final_column": true,
  "target_names": [
    "target"
  ],
  "target_scaling": {
    "max": 52.0,
    "min": 1.0,
    "mode": "regression",
    "range": [
      0.0,
      1.0
    ]
  },
  "target_source_encoding": {
    "kind": "numeric"
  },
  "task_type": "regression",
  "test_rows": 72,
  "train_rows": 360
}