{
  "id": 542213,
  "title": "Mind Map | CMI Dataset Interpretation and Analysis Guide",
  "url": "/competitions/child-mind-institute-problematic-internet-use/discussion/542213",
  "author_name": "L_",
  "post_date": "2024-10-23T13:52:46.176000",
  "votes": 0,
  "comment_count": 0,
  "views": 0,
  "content": "<p>HBN Dataset Files<br>\n├── series_train.parquet<br>\n│   ├── Description: Contains accelerometer data for training participants.<br>\n│   ├── Structure: <br>\n│   │   ├── id: Participant identifier (unique).<br>\n│   │   ├── time_of_day: Timestamp of the recording.<br>\n│   │   ├── X, Y, Z: 3D acceleration data (measured in g).<br>\n│   │   ├── enmo: Euclidean Norm Minus One (float) indicating activity level.<br>\n│   │   ├── anglez: Angle of arm relative to the horizontal plane (float).<br>\n│   │   ├── non-wear_flag: Indicator of whether the device was worn (0 = worn, 1 = not worn).<br>\n│   │   ├── light: Ambient light level (lux).<br>\n│   │   ├── battery_voltage: Battery voltage of the device (mV).<br>\n│   │   ├── weekday: Day of the week (1-7).<br>\n│   │   └── relative_date_PCIAT: Days since the PCIAT test was administered (int).<br>\n│   └── Examples: <br>\n│       ├── id=00115b9f<br>\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 00115b9f.<br>\n│       ├── id=001f3379<br>\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 001f3379.<br>\n│       ├── id=00f332d1<br>\n│       ├── id=01085eb3<br>\n│       ├── …<br>\n├── series_test.parquet<br>\n│   ├── Description: Contains accelerometer data for testing participants.<br>\n│   ├── Structure: Similar to series_train.parquet with participant-specific data.<br>\n│   └── Examples:<br>\n│       ├── id=00115b9f<br>\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 00115b9f.<br>\n│       ├── id=001f3379<br>\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 001f3379.<br>\n│       ├── …<br>\n├── data_dictionary.csv<br>\n│   ├── Description: Provides a detailed description of all variables and their meanings across datasets.<br>\n│   └── Structure: <br>\n│       ├── variable_name: Name of the variable.<br>\n│       ├── description: Description of the variable's meaning.<br>\n│       └── data_type: Data type of the variable (e.g., int, float, categorical).<br>\n├── sample_submission.csv<br>\n│   ├── Description: Template for the submission of predictions based on the test dataset.<br>\n│   ├── Structure: <br>\n│       ├── id: Participant identifier (matching those in the test dataset).<br>\n│       ├── predicted_SII: Column for submitting predicted Severity Impairment Index scores.<br>\n│       └── example_values: Sample predictions for reference.<br>\n├── test.csv<br>\n│   ├── Description: Contains demographic and assessment data for the test participants.<br>\n│   ├── Structure:<br>\n│       ├── id: Participant identifier (unique).<br>\n│       ├── Basic_Demos: Basic demographic information (e.g., age, sex).<br>\n│       ├── Physical Measures: Various physical measures like BMI, height, weight.<br>\n│       ├── Internet Use: Data on participants' internet usage habits.<br>\n│       └── Scores: Assessment scores such as CGAS and PCIAT.<br>\n└── train.csv<br>\n    ├── Description: Contains demographic and assessment data for the training participants.<br>\n    ├── Structure:<br>\n    │   ├── id: Participant identifier (unique).<br>\n    │   ├── Basic_Demos: Basic demographic information (e.g., age, sex).<br>\n    │   ├── Physical Measures: Various physical measures like BMI, height, weight.<br>\n    │   ├── Internet Use: Data on participants' internet usage habits.<br>\n    │   └── Scores: Assessment scores such as CGAS and PCIAT.</p>",
  "messages": [
    {
      "id": 3026163,
      "postDate": "2024-10-23T13:52:46.177Z",
      "content": "<p>HBN Dataset Files<br>\n├── series_train.parquet<br>\n│   ├── Description: Contains accelerometer data for training participants.<br>\n│   ├── Structure: <br>\n│   │   ├── id: Participant identifier (unique).<br>\n│   │   ├── time_of_day: Timestamp of the recording.<br>\n│   │   ├── X, Y, Z: 3D acceleration data (measured in g).<br>\n│   │   ├── enmo: Euclidean Norm Minus One (float) indicating activity level.<br>\n│   │   ├── anglez: Angle of arm relative to the horizontal plane (float).<br>\n│   │   ├── non-wear_flag: Indicator of whether the device was worn (0 = worn, 1 = not worn).<br>\n│   │   ├── light: Ambient light level (lux).<br>\n│   │   ├── battery_voltage: Battery voltage of the device (mV).<br>\n│   │   ├── weekday: Day of the week (1-7).<br>\n│   │   └── relative_date_PCIAT: Days since the PCIAT test was administered (int).<br>\n│   └── Examples: <br>\n│       ├── id=00115b9f<br>\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 00115b9f.<br>\n│       ├── id=001f3379<br>\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 001f3379.<br>\n│       ├── id=00f332d1<br>\n│       ├── id=01085eb3<br>\n│       ├── …<br>\n├── series_test.parquet<br>\n│   ├── Description: Contains accelerometer data for testing participants.<br>\n│   ├── Structure: Similar to series_train.parquet with participant-specific data.<br>\n│   └── Examples:<br>\n│       ├── id=00115b9f<br>\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 00115b9f.<br>\n│       ├── id=001f3379<br>\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 001f3379.<br>\n│       ├── …<br>\n├── data_dictionary.csv<br>\n│   ├── Description: Provides a detailed description of all variables and their meanings across datasets.<br>\n│   └── Structure: <br>\n│       ├── variable_name: Name of the variable.<br>\n│       ├── description: Description of the variable's meaning.<br>\n│       └── data_type: Data type of the variable (e.g., int, float, categorical).<br>\n├── sample_submission.csv<br>\n│   ├── Description: Template for the submission of predictions based on the test dataset.<br>\n│   ├── Structure: <br>\n│       ├── id: Participant identifier (matching those in the test dataset).<br>\n│       ├── predicted_SII: Column for submitting predicted Severity Impairment Index scores.<br>\n│       └── example_values: Sample predictions for reference.<br>\n├── test.csv<br>\n│   ├── Description: Contains demographic and assessment data for the test participants.<br>\n│   ├── Structure:<br>\n│       ├── id: Participant identifier (unique).<br>\n│       ├── Basic_Demos: Basic demographic information (e.g., age, sex).<br>\n│       ├── Physical Measures: Various physical measures like BMI, height, weight.<br>\n│       ├── Internet Use: Data on participants' internet usage habits.<br>\n│       └── Scores: Assessment scores such as CGAS and PCIAT.<br>\n└── train.csv<br>\n    ├── Description: Contains demographic and assessment data for the training participants.<br>\n    ├── Structure:<br>\n    │   ├── id: Participant identifier (unique).<br>\n    │   ├── Basic_Demos: Basic demographic information (e.g., age, sex).<br>\n    │   ├── Physical Measures: Various physical measures like BMI, height, weight.<br>\n    │   ├── Internet Use: Data on participants' internet usage habits.<br>\n    │   └── Scores: Assessment scores such as CGAS and PCIAT.</p>",
      "rawMarkdown": "HBN Dataset Files\n├── series_train.parquet\n│   ├── Description: Contains accelerometer data for training participants.\n│   ├── Structure: \n│   │   ├── id: Participant identifier (unique).\n│   │   ├── time_of_day: Timestamp of the recording.\n│   │   ├── X, Y, Z: 3D acceleration data (measured in g).\n│   │   ├── enmo: Euclidean Norm Minus One (float) indicating activity level.\n│   │   ├── anglez: Angle of arm relative to the horizontal plane (float).\n│   │   ├── non-wear_flag: Indicator of whether the device was worn (0 = worn, 1 = not worn).\n│   │   ├── light: Ambient light level (lux).\n│   │   ├── battery_voltage: Battery voltage of the device (mV).\n│   │   ├── weekday: Day of the week (1-7).\n│   │   └── relative_date_PCIAT: Days since the PCIAT test was administered (int).\n│   └── Examples: \n│       ├── id=00115b9f\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 00115b9f.\n│       ├── id=001f3379\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 001f3379.\n│       ├── id=00f332d1\n│       ├── id=01085eb3\n│       ├── ...\n├── series_test.parquet\n│   ├── Description: Contains accelerometer data for testing participants.\n│   ├── Structure: Similar to series_train.parquet with participant-specific data.\n│   └── Examples:\n│       ├── id=00115b9f\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 00115b9f.\n│       ├── id=001f3379\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 001f3379.\n│       ├── ...\n├── data_dictionary.csv\n│   ├── Description: Provides a detailed description of all variables and their meanings across datasets.\n│   └── Structure: \n│       ├── variable_name: Name of the variable.\n│       ├── description: Description of the variable's meaning.\n│       └── data_type: Data type of the variable (e.g., int, float, categorical).\n├── sample_submission.csv\n│   ├── Description: Template for the submission of predictions based on the test dataset.\n│   ├── Structure: \n│       ├── id: Participant identifier (matching those in the test dataset).\n│       ├── predicted_SII: Column for submitting predicted Severity Impairment Index scores.\n│       └── example_values: Sample predictions for reference.\n├── test.csv\n│   ├── Description: Contains demographic and assessment data for the test participants.\n│   ├── Structure:\n│       ├── id: Participant identifier (unique).\n│       ├── Basic_Demos: Basic demographic information (e.g., age, sex).\n│       ├── Physical Measures: Various physical measures like BMI, height, weight.\n│       ├── Internet Use: Data on participants' internet usage habits.\n│       └── Scores: Assessment scores such as CGAS and PCIAT.\n└── train.csv\n    ├── Description: Contains demographic and assessment data for the training participants.\n    ├── Structure:\n    │   ├── id: Participant identifier (unique).\n    │   ├── Basic_Demos: Basic demographic information (e.g., age, sex).\n    │   ├── Physical Measures: Various physical measures like BMI, height, weight.\n    │   ├── Internet Use: Data on participants' internet usage habits.\n    │   └── Scores: Assessment scores such as CGAS and PCIAT.\n"
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3026163": "HBN Dataset Files\n├── series_train.parquet\n│   ├── Description: Contains accelerometer data for training participants.\n│   ├── Structure: \n│   │   ├── id: Participant identifier (unique).\n│   │   ├── time_of_day: Timestamp of the recording.\n│   │   ├── X, Y, Z: 3D acceleration data (measured in g).\n│   │   ├── enmo: Euclidean Norm Minus One (float) indicating activity level.\n│   │   ├── anglez: Angle of arm relative to the horizontal plane (float).\n│   │   ├── non-wear_flag: Indicator of whether the device was worn (0 = worn, 1 = not worn).\n│   │   ├── light: Ambient light level (lux).\n│   │   ├── battery_voltage: Battery voltage of the device (mV).\n│   │   ├── weekday: Day of the week (1-7).\n│   │   └── relative_date_PCIAT: Days since the PCIAT test was administered (int).\n│   └── Examples: \n│       ├── id=00115b9f\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 00115b9f.\n│       ├── id=001f3379\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 001f3379.\n│       ├── id=00f332d1\n│       ├── id=01085eb3\n│       ├── ...\n├── series_test.parquet\n│   ├── Description: Contains accelerometer data for testing participants.\n│   ├── Structure: Similar to series_train.parquet with participant-specific data.\n│   └── Examples:\n│       ├── id=00115b9f\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 00115b9f.\n│       ├── id=001f3379\n│       │   ├── part-0.parquet: Subset of accelerometer data for participant 001f3379.\n│       ├── ...\n├── data_dictionary.csv\n│   ├── Description: Provides a detailed description of all variables and their meanings across datasets.\n│   └── Structure: \n│       ├── variable_name: Name of the variable.\n│       ├── description: Description of the variable's meaning.\n│       └── data_type: Data type of the variable (e.g., int, float, categorical).\n├── sample_submission.csv\n│   ├── Description: Template for the submission of predictions based on the test dataset.\n│   ├── Structure: \n│       ├── id: Participant identifier (matching those in the test dataset).\n│       ├── predicted_SII: Column for submitting predicted Severity Impairment Index scores.\n│       └── example_values: Sample predictions for reference.\n├── test.csv\n│   ├── Description: Contains demographic and assessment data for the test participants.\n│   ├── Structure:\n│       ├── id: Participant identifier (unique).\n│       ├── Basic_Demos: Basic demographic information (e.g., age, sex).\n│       ├── Physical Measures: Various physical measures like BMI, height, weight.\n│       ├── Internet Use: Data on participants' internet usage habits.\n│       └── Scores: Assessment scores such as CGAS and PCIAT.\n└── train.csv\n    ├── Description: Contains demographic and assessment data for the training participants.\n    ├── Structure:\n    │   ├── id: Participant identifier (unique).\n    │   ├── Basic_Demos: Basic demographic information (e.g., age, sex).\n    │   ├── Physical Measures: Various physical measures like BMI, height, weight.\n    │   ├── Internet Use: Data on participants' internet usage habits.\n    │   └── Scores: Assessment scores such as CGAS and PCIAT.\n"
  }
}