croissant-checker / report_croissant-validation_Student Performance on an Entrance Examination.md
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CROISSANT VALIDATION REPORT

================================================================================ ## VALIDATION RESULTS

Starting validation for file: download ### JSON Format Validation βœ“ The URL returned valid JSON. ### Croissant Schema Validation βœ“ The dataset passes Croissant validation. ### Records Generation Test βœ“ Record set 'Student_Performance_on_an_Entrance_Examination.csv' passed validation. ## JSON-LD REFERENCE

{
  "@context": {
    "@language": "en",
    "@vocab": "https://schema.org/",
    "citeAs": "cr:citeAs",
    "column": "cr:column",
    "conformsTo": "dct:conformsTo",
    "cr": "http://mlcommons.org/croissant/",
    "data": {
      "@id": "cr:data",
      "@type": "@json"
    },
    "dataBiases": "cr:dataBiases",
    "dataCollection": "cr:dataCollection",
    "dataType": {
      "@id": "cr:dataType",
      "@type": "@vocab"
    },
    "dct": "http://purl.org/dc/terms/",
    "extract": "cr:extract",
    "field": "cr:field",
    "fileProperty": "cr:fileProperty",
    "fileObject": "cr:fileObject",
    "fileSet": "cr:fileSet",
    "format": "cr:format",
    "includes": "cr:includes",
    "isEnumeration": "cr:isEnumeration",
    "isLiveDataset": "cr:isLiveDataset",
    "jsonPath": "cr:jsonPath",
    "key": "cr:key",
    "md5": "cr:md5",
    "parentField": "cr:parentField",
    "path": "cr:path",
    "personalSensitiveInformation": "cr:personalSensitiveInformation",
    "recordSet": "cr:recordSet",
    "references": "cr:references",
    "regex": "cr:regex",
    "repeated": "cr:repeated",
    "replace": "cr:replace",
    "sc": "https://schema.org/",
    "separator": "cr:separator",
    "source": "cr:source",
    "subField": "cr:subField",
    "transform": "cr:transform",
    "wd": "https://www.wikidata.org/wiki/",
    "@base": "cr_base_iri/"
  },
  "alternateName": " Examining Demographic, Academic, and Socioeconomic Factors",
  "conformsTo": "http://mlcommons.org/croissant/1.0",
  "license": {
    "@type": "sc:CreativeWork",
    "name": "Other (specified in description)"
  },
  "distribution": [
    {
      "contentUrl": "https://www.kaggle.com/api/v1/datasets/download/adilshamim8/student-performance-on-an-entrance-examination?datasetVersionNumber=1",
      "contentSize": "4.299 KB",
      "md5": "c8RSY3Vq8U4A+IMWxNtpMQ==",
      "encodingFormat": "application/zip",
      "@id": "archive.zip",
      "@type": "cr:FileObject",
      "name": "archive.zip",
      "description": "Archive containing all the contents of the Student Performance on an Entrance Examination dataset"
    },
    {
      "contentUrl": "Student_Performance_on_an_Entrance_Examination.csv",
      "containedIn": {
        "@id": "archive.zip"
      },
      "encodingFormat": "text/csv",
      "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject",
      "@type": "cr:FileObject",
      "name": "Student_Performance_on_an_Entrance_Examination.csv",
      "description": "- **Gender**  \n  *Description:* Indicates the candidate\u2019s gender (e.g., Male, Female). This field helps in analyzing performance trends and demographic differences based on gender.\n\n- **Caste**  \n  *Description:* Specifies the caste category of the candidate (such as General, OBC, SC, ST, etc.). This information can be used to explore socio-cultural factors and their influence on academic performance.\n\n- **coaching**  \n  *Description:* Denotes whether the candidate attended any coaching classes prior to the examination. It typically categorizes candidates into those who attended coaching within Assam, outside Assam, or not at all, providing insights into the role of supplementary education.\n\n- **Class_ten_education**  \n  *Description:* Records the board or institution where the candidate completed their Class X education. This can be useful for assessing the impact of the quality of secondary education on subsequent exam performance.\n\n- **twelve_education**  \n  *Description:* Indicates the board or institution where the candidate completed their Class XII education. Analyzing this field can reveal differences in educational standards and curricula that may affect entrance exam outcomes.\n\n- **medium**  \n  *Description:* Specifies the medium of instruction used during the candidate\u2019s Class XII education (e.g., English, Assamese, etc.). The medium of instruction might influence comprehension and performance in the exam.\n\n- **Class_X_Percentage**  \n  *Description:* Represents the percentage marks secured by the candidate in their Class X examinations. This score serves as a baseline indicator of academic ability and prior educational attainment.\n\n- **Class_XII_Percentage**  \n  *Description:* Denotes the percentage marks achieved by the candidate in their Class XII examinations, providing further insight into their academic consistency and preparation for the entrance exam.\n\n- **Father_occupation**  \n  *Description:* Captures the occupation of the candidate\u2019s father. This socioeconomic indicator can help in understanding how parental employment and associated factors might influence educational opportunities and performance.\n\n- **Mother_occupation**  \n  *Description:* Captures the occupation of the candidate\u2019s mother. Like the father's occupation, this field contributes to a broader view of the candidate's socioeconomic background and its potential impact on academic success.\n\n- **time**  \n  *Description:* Records the time or session related to the exam or data collection. This field can be useful for tracking trends over time or correlating performance with specific examination sessions.\n\n- **Performance**  \n  *Description:* Represents the candidate\u2019s performance in the Common Entrance Examination (CEE). This could be presented as a numeric score, grade, or categorical outcome (e.g., pass/fail), and serves as the primary variable for assessing academic achievement in the dataset."
    }
  ],
  "recordSet": [
    {
      "field": [
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "Gender"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/Gender",
          "@type": "cr:Field",
          "name": "Gender",
          "description": "Indicates the candidate\u2019s gender (e.g., Male, Female). This field helps in analyzing performance trends and demographic differences based on gender."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "Caste"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/Caste",
          "@type": "cr:Field",
          "name": "Caste",
          "description": "Specifies the caste category of the candidate (such as General, OBC, SC, ST, etc.). This information can be used to explore socio-cultural factors and their influence on academic performance."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "coaching"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/coaching",
          "@type": "cr:Field",
          "name": "coaching",
          "description": " Denotes whether the candidate attended any coaching classes prior to the examination. It typically categorizes candidates into those who attended coaching within Assam, outside Assam, or not at all, providing insights into the role of supplementary education."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "Class_ten_education"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/Class_ten_education",
          "@type": "cr:Field",
          "name": "Class_ten_education",
          "description": " Records the board or institution where the candidate completed their Class X education. This can be useful for assessing the impact of the quality of secondary education on subsequent exam performance."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "twelve_education"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/twelve_education",
          "@type": "cr:Field",
          "name": "twelve_education",
          "description": " Indicates the board or institution where the candidate completed their Class XII education. Analyzing this field can reveal differences in educational standards and curricula that may affect entrance exam outcomes."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "medium"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/medium",
          "@type": "cr:Field",
          "name": "medium",
          "description": "Specifies the medium of instruction used during the candidate\u2019s Class XII education (e.g., English, Assamese, etc.). The medium of instruction might influence comprehension and performance in the exam."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "Class_X_Percentage"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/Class_X_Percentage",
          "@type": "cr:Field",
          "name": "Class_X_Percentage",
          "description": " Represents the percentage marks secured by the candidate in their Class X examinations. This score serves as a baseline indicator of academic ability and prior educational attainment."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "Class_XII_Percentage"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/Class_XII_Percentage",
          "@type": "cr:Field",
          "name": "Class_XII_Percentage",
          "description": " Denotes the percentage marks achieved by the candidate in their Class XII examinations, providing further insight into their academic consistency and preparation for the entrance exam."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "Father_occupation"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/Father_occupation",
          "@type": "cr:Field",
          "name": "Father_occupation",
          "description": "Captures the occupation of the candidate\u2019s father. This socioeconomic indicator can help in understanding how parental employment and associated factors might influence educational opportunities and performance."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "Mother_occupation"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/Mother_occupation",
          "@type": "cr:Field",
          "name": "Mother_occupation",
          "description": " Captures the occupation of the candidate\u2019s mother. Like the father's occupation, this field contributes to a broader view of the candidate's socioeconomic background and its potential impact on academic success."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "time"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/time",
          "@type": "cr:Field",
          "name": "time",
          "description": " Records the time or session related to the exam or data collection. This field can be useful for tracking trends over time or correlating performance with specific examination sessions."
        },
        {
          "dataType": [
            "sc:Text"
          ],
          "source": {
            "fileObject": {
              "@id": "Student_Performance_on_an_Entrance_Examination.csv_fileobject"
            },
            "extract": {
              "column": "Performance"
            }
          },
          "@id": "Student_Performance_on_an_Entrance_Examination.csv/Performance",
          "@type": "cr:Field",
          "name": "Performance",
          "description": " Represents the candidate\u2019s performance in the Common Entrance Examination (CEE). This could be presented as a numeric score, grade, or categorical outcome (e.g., pass/fail), and serves as the primary variable for assessing academic achievement in the dataset."
        }
      ],
      "@id": "Student_Performance_on_an_Entrance_Examination.csv",
      "@type": "cr:RecordSet",
      "name": "Student_Performance_on_an_Entrance_Examination.csv",
      "description": "- **Gender**  \n  *Description:* Indicates the candidate\u2019s gender (e.g., Male, Female). This field helps in analyzing performance trends and demographic differences based on gender.\n\n- **Caste**  \n  *Description:* Specifies the caste category of the candidate (such as General, OBC, SC, ST, etc.). This information can be used to explore socio-cultural factors and their influence on academic performance.\n\n- **coaching**  \n  *Description:* Denotes whether the candidate attended any coaching classes prior to the examination. It typically categorizes candidates into those who attended coaching within Assam, outside Assam, or not at all, providing insights into the role of supplementary education.\n\n- **Class_ten_education**  \n  *Description:* Records the board or institution where the candidate completed their Class X education. This can be useful for assessing the impact of the quality of secondary education on subsequent exam performance.\n\n- **twelve_education**  \n  *Description:* Indicates the board or institution where the candidate completed their Class XII education. Analyzing this field can reveal differences in educational standards and curricula that may affect entrance exam outcomes.\n\n- **medium**  \n  *Description:* Specifies the medium of instruction used during the candidate\u2019s Class XII education (e.g., English, Assamese, etc.). The medium of instruction might influence comprehension and performance in the exam.\n\n- **Class_X_Percentage**  \n  *Description:* Represents the percentage marks secured by the candidate in their Class X examinations. This score serves as a baseline indicator of academic ability and prior educational attainment.\n\n- **Class_XII_Percentage**  \n  *Description:* Denotes the percentage marks achieved by the candidate in their Class XII examinations, providing further insight into their academic consistency and preparation for the entrance exam.\n\n- **Father_occupation**  \n  *Description:* Captures the occupation of the candidate\u2019s father. This socioeconomic indicator can help in understanding how parental employment and associated factors might influence educational opportunities and performance.\n\n- **Mother_occupation**  \n  *Description:* Captures the occupation of the candidate\u2019s mother. Like the father's occupation, this field contributes to a broader view of the candidate's socioeconomic background and its potential impact on academic success.\n\n- **time**  \n  *Description:* Records the time or session related to the exam or data collection. This field can be useful for tracking trends over time or correlating performance with specific examination sessions.\n\n- **Performance**  \n  *Description:* Represents the candidate\u2019s performance in the Common Entrance Examination (CEE). This could be presented as a numeric score, grade, or categorical outcome (e.g., pass/fail), and serves as the primary variable for assessing academic achievement in the dataset."
    }
  ],
  "version": 1,
  "keywords": [
    "subject > people and society > education",
    "technique > data visualization",
    "technique > exploratory data analysis",
    "subject > people and society > education > universities and colleges",
    "subject > people and society > social science",
    "subject > people and society > education > standardized testing"
  ],
  "isAccessibleForFree": true,
  "includedInDataCatalog": {
    "@type": "sc:DataCatalog",
    "name": "Kaggle",
    "url": "https://www.kaggle.com"
  },
  "creator": {
    "@type": "sc:Person",
    "name": "Adil Shamim",
    "url": "/adilshamim8",
    "image": "https://storage.googleapis.com/kaggle-avatars/thumbnails/22146488-kg.jpg?t=2025-02-08-13-40-43"
  },
  "publisher": {
    "@type": "sc:Organization",
    "name": "Kaggle",
    "url": "https://www.kaggle.com/organizations/kaggle",
    "image": "https://storage.googleapis.com/kaggle-organizations/4/thumbnail.png"
  },
  "thumbnailUrl": "https://storage.googleapis.com/kaggle-datasets-images/6783385/10912302/0f54936fde1351d0247218871f9c6336/dataset-card.jpg?t=2025-03-04-00-24-52",
  "dateModified": "2025-03-04T00:09:21.697",
  "@type": "sc:Dataset",
  "name": "Student Performance on an Entrance Examination",
  "url": "https://www.kaggle.com/datasets/adilshamim8/student-performance-on-an-entrance-examination/versions/1",
  "description": "\n\nThis dataset contains comprehensive information regarding candidates' performance in a common entrance examination, alongside various demographic and academic indicators. It is designed to support analysis into the factors influencing success in competitive exams and can serve as a valuable resource for educational researchers and data scientists.\n\n#### Key Features:\n- **Examination Performance:** Data reflecting the candidate\u2019s results in the entrance examination.\n- **Candidate Demographics:** \n  - **Sex:** Gender of the candidate.\n  - **Caste:** Caste classification of the candidate.\n- **Coaching Details:**\n  - Information on whether the candidate attended coaching classes within Assam, outside Assam, or did not attend any coaching.\n- **Educational Background:**\n  - **Board Details:** Names of the boards where the candidate studied during Class X and Class XII.\n  - **Medium of Instruction:** The medium used for teaching during Class XII.\n- **Academic Performance:**\n  - **Class X Percentage:** Marks secured at the Class X level.\n  - **Class XII Percentage:** Marks secured at the Class XII level.\n- **Parental Occupation:**\n  - Occupation details for both the candidate's father and mother, which can help analyze socioeconomic influences on performance.\n\n#### Use Cases:\n- **Performance Analysis:** Examine correlations between educational background, coaching, and exam performance.\n- **Predictive Modeling:** Develop models to predict exam outcomes based on prior academic results and demographic factors.\n- **Educational Research:** Explore the impact of socio-economic and educational variables on academic success.\n\nThis dataset is ideal for conducting in-depth studies into the determinants of academic achievement and for designing interventions to improve student performance in competitive exams."
}