| --- |
| license: mit |
| language: |
| - en |
| tags: |
| - education |
| - tabular |
| - synthetic |
| - student-performance |
| - computer-science |
| pretty_name: Student Internal Assessment Marks (CSE, Sem V) |
| size_categories: |
| - n<1K |
| task_categories: |
| - tabular-classification |
| - tabular-regression |
| --- |
| |
| # Student Internal Assessment Marks (Synthetic, Wide Format) |
|
|
| ## Dataset description |
|
|
| This dataset contains **70 synthetic student records** for **B.Tech Computer Science and Engineering**, **Semester V** (academic year **2025–26**). Each row is one student with internal assessment marks across **five core subjects**, plus semester totals and letter grades. |
|
|
| The data is **structurally realistic** (roll numbers, subject codes, mid-term pattern, grading bands) but **not sourced from real university systems**. Names and roll numbers are **fabricated for teaching, demos, and ML practice**. Do not use this dataset to identify or evaluate real individuals. |
|
|
| ### Intended uses |
|
|
| - Learning **pandas**, **CSV analytics**, and **EDA** on tabular academic data |
| - **Regression** (e.g., predict `percentage` or subject finals from mids) |
| - **Classification** (e.g., predict `grade` from marks) |
| - **Dashboard / visualization** prototypes |
| - **Pipeline demos** (ingest → validate → model → report) |
|
|
| ### Out of scope |
|
|
| - Official accreditation, placement, or admissions decisions |
| - Any claim of real institutional data from VVIT or other colleges |
|
|
| ## Files |
|
|
| | File | Description | |
| |------|-------------| |
| | `student_data.csv` | **Primary file** — one row per student (wide / reporting layout), 70 rows + header | |
|
|
| ## Dataset structure |
|
|
| - **Rows:** 70 students |
| - **Subjects:** 5 (each assessed out of **30** per subject; **150** total per student) |
| - **Format:** CSV, UTF-8, comma-separated |
|
|
| ### Subjects |
|
|
| | Code | Short | Full name | |
| |------|-------|-----------| |
| | CS501 | DSA | Data Structures and Algorithms | |
| | CS502 | DBMS | Database Management Systems | |
| | CS503 | OS | Operating Systems | |
| | CS504 | CN | Computer Networks | |
| | CS505 | SE | Software Engineering | |
|
|
| ### Assessment rule (per subject) |
|
|
| For each subject, two internal tests **Mid1** and **Mid2** are scored out of **30**. The recorded final (out of 30) is: |
|
|
| \[ |
| \text{Final\_30} = 0.80 \times \max(\text{Mid1}, \text{Mid2}) + 0.20 \times \min(\text{Mid1}, \text{Mid2}) |
| \] |
| |
| Semester **total** is the sum of the five `*_Final_30` columns (`total_out_of_150`). |
| **percentage** = `100 × total_out_of_150 / 150`. |
| **grade** follows the scale below. |
|
|
| ### Grade scale |
|
|
| | Grade | Percentage | |
| |-------|------------| |
| | O | ≥ 90% | |
| | A+ | 80–89% | |
| | A | 70–79% | |
| | B+ | 60–69% | |
| | B | 50–59% | |
| | C | 40–49% | |
| | F | < 40% | |
|
|
| ## Data fields (`student_data.csv`) |
| |
| ### Student & cohort metadata |
| |
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `academic_year` | string | e.g. `2025-26` | |
| | `semester` | string | Roman numeral semester, e.g. `V` | |
| | `branch` | string | Degree program | |
| | `section` | string | Section label (`A` or `B`) | |
| | `roll_number` | string | Synthetic roll ID, e.g. `23BQ1A4201` | |
| | `student_name` | string | Synthetic full name | |
|
|
| ### Per-subject marks (repeat for DSA, DBMS, OS, CN, SE) |
|
|
| | Column pattern | Type | Description | |
| |----------------|------|-------------| |
| | `{SUBJ}_Mid1` | integer | First internal test (0–30) | |
| | `{SUBJ}_Mid2` | integer | Second internal test (0–30) | |
| | `{SUBJ}_Final_30` | float | Weighted final out of 30 | |
|
|
| `{SUBJ}` ∈ `DSA`, `DBMS`, `OS`, `CN`, `SE`. |
|
|
| ### Aggregates |
|
|
| | Column | Type | Description | |
| |--------|------|-------------| |
| | `total_out_of_150` | float | Sum of five finals | |
| | `percentage` | float | Overall percentage | |
| | `grade` | string | Letter grade (O, A+, A, …) | |
|
|
| ## Example records |
|
|
| ```csv |
| academic_year,semester,branch,section,roll_number,student_name,DSA_Mid1,DSA_Mid2,DSA_Final_30,...,percentage,grade |
| 2025-26,V,B.Tech Computer Science and Engineering,A,23BQ1A4201,Aarav Kumar,18,18,18.0,...,73.6,A |
