Datasets:
system stringclasses 1
value | user stringlengths 21 62 | assistant stringlengths 102 138 |
|---|---|---|
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Johnathan Smith attended 10 out of 25 classes. | Johnathan Smith (Student), 40.0% (Attendance), High (Risk), 9 (Classes Needed), "Warning: You need 9 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Sara has shown up for 70 of 75 scheduled lectures. | Sara (Student), 93.33% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Kevin went to 30 of 50 classes. | Kevin (Student), 60.0% (Attendance), Medium (Risk), 8 (Classes Needed), "Warning: You need 8 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Chloe attended 8 out of 32. | Chloe (Student), 25.0% (Attendance), High (Risk), 16 (Classes Needed), "Warning: You need 16 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Marco recorded attendance for 90 of 100 sessions. | Marco (Student), 90.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Eliza has 20 classes attended from 40 total. | Eliza (Student), 50.0% (Attendance), High (Risk), 10 (Classes Needed), "Warning: You need 10 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Tariq: 12 attended, 18 total. | Tariq (Student), 66.67% (Attendance), Medium (Risk), 2 (Classes Needed), "Warning: You need 2 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Bella attended 0 out of 10 classes. | Bella (Student), 0.0% (Attendance), High (Risk), 8 (Classes Needed), "Warning: You need 8 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Jack managed 55 out of 80 attendance marks. | Jack (Student), 68.75% (Attendance), Medium (Risk), 5 (Classes Needed), "Warning: You need 5 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Nora attended 77 classes out of 80 total. | Nora (Student), 96.25% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Xavier attended 15 of 30. | Xavier (Student), 50.0% (Attendance), High (Risk), 8 (Classes Needed), "Warning: You need 8 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Zoe attended 42/60 classes. | Zoe (Student), 70.0% (Attendance), Medium (Risk), 3 (Classes Needed), "Warning: You need 3 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Oscar was present for 20 out of 40. | Oscar (Student), 50.0% (Attendance), High (Risk), 10 (Classes Needed), "Warning: You need 10 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Penelope went to 40 classes, with 40 total planned. | Penelope (Student), 100.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Liam: 65 attended out of 90. | Liam (Student), 72.22% (Attendance), Medium (Risk), 3 (Classes Needed), "Warning: You need 3 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Maya participated in 35 out of 60. | Maya (Student), 58.33% (Attendance), Medium (Risk), 10 (Classes Needed), "Warning: You need 10 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Finn skipped many, only attended 4 of 20 classes. | Finn (Student), 20.0% (Attendance), High (Risk), 11 (Classes Needed), "Warning: You need 11 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Sophia recorded 70 attended of 80. | Sophia (Student), 87.5% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Hugo has 40 of 60 attended. | Hugo (Student), 66.67% (Attendance), Medium (Risk), 5 (Classes Needed), "Warning: You need 5 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Eva attended 22 from 35 classes. | Eva (Student), 62.86% (Attendance), Medium (Risk), 4 (Classes Needed), "Warning: You need 4 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Kai went to 55 classes out of 70. | Kai (Student), 78.57% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Ruby has attended 12 classes of 30. | Ruby (Student), 40.0% (Attendance), High (Risk), 11 (Classes Needed), "Warning: You need 11 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Max recorded 10/20 sessions. | Max (Student), 50.0% (Attendance), High (Risk), 5 (Classes Needed), "Warning: You need 5 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Olivia: 88 out of 90 classes attended. | Olivia (Student), 97.78% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Isaac attended 44 out of 75. | Isaac (Student), 58.67% (Attendance), Medium (Risk), 12 (Classes Needed), "Warning: You need 12 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Jasmine has 50 out of 55. | Jasmine (Student), 90.91% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Noah: 3 attended from 15 classes. | Noah (Student), 20.0% (Attendance), High (Risk), 8 (Classes Needed), "Warning: You need 8 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Charlotte has 65 of 95. | Charlotte (Student), 68.42% (Attendance), Medium (Risk), 7 (Classes Needed), "Warning: You need 7 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Mason has 12 out of 35 attended. | Mason (Student), 34.29% (Attendance), High (Risk), 14 (Classes Needed), "Warning: You need 14 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Ava has 85 attended, 100 scheduled. | Ava (Student), 85.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Lucas participated in 6 out of 12 classes. | Lucas (Student), 50.0% (Attendance), High (Risk), 3 (Classes Needed), "Warning: You need 3 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Amelia has attended 74 of 80. | Amelia (Student), 92.5% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Benjamin: 25 of 45 attended. | Benjamin (Student), 55.56% (Attendance), Medium (Risk), 9 (Classes Needed), "Warning: You need 9 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Harper was present 49 times from 60. | Harper (Student), 81.67% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Ethan had 9 sessions attended of 20. | Ethan (Student), 45.0% (Attendance), High (Risk), 6 (Classes Needed), "Warning: You need 6 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Evelyn logged 62 attended out of 80. | Evelyn (Student), 77.5% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Alexander: 32 attended of 55. | Alexander (Student), 58.18% (Attendance), Medium (Risk), 9 (Classes Needed), "Warning: You need 9 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Grace went to 40 of 48 sessions. | Grace (Student), 83.33% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Daniel has attended 18 of 50 total classes. | Daniel (Student), 36.0% (Attendance), High (Risk), 20 (Classes Needed), "Warning: You need 20 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Lily attended 55 out of 72. | Lily (Student), 76.39% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Jessica attended 20 out of 25 classes | Jessica (Student), 80.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Marco attended 2 out of 20 classes | Marco (Student), 10.0% (Attendance), High (Risk), 13 (Classes Needed), "Warning: You need 13 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Sophia attended 45 out of 60 classes | Sophia (Student), 75.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Ben attended 55 out of 80 classes | Ben (Student), 68.75% (Attendance), Medium (Risk), 5 (Classes Needed), "Warning: You need 5 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Chloe attended 7 out of 30 classes | Chloe (Student), 23.33% (Attendance), High (Risk), 16 (Classes Needed), "Warning: You need 16 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Daniel attended 100 out of 100 classes | Daniel (Student), 100.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Elena attended 35 out of 50 classes | Elena (Student), 70.0% (Attendance), Medium (Risk), 3 (Classes Needed), "Warning: You need 3 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Felix attended 12 out of 12 classes | Felix (Student), 100.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Grace attended 30 out of 50 classes | Grace (Student), 60.0% (Attendance), Medium (Risk), 8 (Classes Needed), "Warning: You need 8 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Henry attended 5 out of 40 classes | Henry (Student), 12.5% (Attendance), High (Risk), 25 (Classes Needed), "Warning: You need 25 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Iris attended 55 out of 70 classes | Iris (Student), 78.57% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Jack attended 42 out of 60 classes | Jack (Student), 70.0% (Attendance), Medium (Risk), 3 (Classes Needed), "Warning: You need 3 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Kate attended 8 out of 20 classes | Kate (Student), 40.0% (Attendance), High (Risk), 7 (Classes Needed), "Warning: You need 7 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Liam attended 75 out of 100 classes | Liam (Student), 75.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Mia attended 4 out of 10 classes | Mia (Student), 40.0% (Attendance), High (Risk), 4 (Classes Needed), "Warning: You need 4 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Noah attended 60 out of 80 classes | Noah (Student), 75.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Olivia attended 22 out of 35 classes | Olivia (Student), 62.86% (Attendance), Medium (Risk), 5 (Classes Needed), "Warning: You need 5 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Peter attended 0 out of 10 classes | Peter (Student), 0.0% (Attendance), High (Risk), 8 (Classes Needed), "Warning: You need 8 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Quinn attended 40 out of 45 classes | Quinn (Student), 88.89% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Ryan attended 55 out of 75 classes | Ryan (Student), 73.33% (Attendance), Medium (Risk), 2 (Classes Needed), "Warning: You need 2 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Sara attended 11 out of 20 classes | Sara (Student), 55.0% (Attendance), Medium (Risk), 4 (Classes Needed), "Warning: You need 4 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Tom attended 65 out of 100 classes | Tom (Student), 65.0% (Attendance), Medium (Risk), 10 (Classes Needed), "Warning: You need 10 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Uma attended 28 out of 30 classes | Uma (Student), 93.33% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Victor attended 15 out of 25 classes | Victor (Student), 60.0% (Attendance), Medium (Risk), 4 (Classes Needed), "Warning: You need 4 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Wendy attended 3 out of 25 classes | Wendy (Student), 12.0% (Attendance), High (Risk), 16 (Classes Needed), "Warning: You need 16 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Xavier attended 34 out of 40 classes | Xavier (Student), 85.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Yara attended 45 out of 50 classes | Yara (Student), 90.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Zack attended 1 out of 5 classes | Zack (Student), 20.0% (Attendance), High (Risk), 3 (Classes Needed), "Warning: You need 3 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Alice attended 60 out of 90 classes | Alice (Student), 66.67% (Attendance), Medium (Risk), 8 (Classes Needed), "Warning: You need 8 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Bob attended 25 out of 40 classes | Bob (Student), 62.5% (Attendance), Medium (Risk), 5 (Classes Needed), "Warning: You need 5 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Carl attended 19 out of 20 classes | Carl (Student), 95.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Diana attended 10 out of 50 classes | Diana (Student), 20.0% (Attendance), High (Risk), 28 (Classes Needed), "Warning: You need 28 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Evan attended 50 out of 50 classes | Evan (Student), 100.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Fiona attended 29 out of 40 classes | Fiona (Student), 72.5% (Attendance), Medium (Risk), 1 (Classes Needed), "Warning: You need 1 more class to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | George attended 6 out of 8 classes | George (Student), 75.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Hannah attended 2 out of 30 classes | Hannah (Student), 6.67% (Attendance), High (Risk), 21 (Classes Needed), "Warning: You need 21 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Ian attended 85 out of 100 classes | Ian (Student), 85.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Jane attended 18 out of 30 classes | Jane (Student), 60.0% (Attendance), Medium (Risk), 5 (Classes Needed), "Warning: You need 5 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Kyle attended 9 out of 10 classes | Kyle (Student), 90.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Luna attended 47 out of 60 classes | Luna (Student), 78.33% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Elena attended 20 out of 25 classes | Elena (Student), 80.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Marcus attended 2 out of 10 classes | Marcus (Student), 20.0% (Attendance), High (Risk), 6 (Classes Needed), "Warning: You need 6 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Sarah attended 48 out of 60 classes | Sarah (Student), 80.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Kevin attended 30 out of 50 classes | Kevin (Student), 60.0% (Attendance), Medium (Risk), 8 (Classes Needed), "Warning: You need 8 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Fatima attended 7 out of 9 classes | Fatima (Student), 77.78% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Jorge attended 12 out of 30 classes | Jorge (Student), 40.0% (Attendance), High (Risk), 11 (Classes Needed), "Warning: You need 11 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Chloe attended 9 out of 12 classes | Chloe (Student), 75.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Ivan attended 3 out of 15 classes | Ivan (Student), 20.0% (Attendance), High (Risk), 9 (Classes Needed), "Warning: You need 9 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Yuki attended 55 out of 70 classes | Yuki (Student), 78.57% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Liam attended 34 out of 60 classes | Liam (Student), 56.67% (Attendance), Medium (Risk), 11 (Classes Needed), "Warning: You need 11 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Sophie attended 40 out of 40 classes | Sophie (Student), 100.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Omar attended 22 out of 45 classes | Omar (Student), 48.89% (Attendance), High (Risk), 12 (Classes Needed), "Warning: You need 12 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Bella attended 15 out of 25 classes | Bella (Student), 60.0% (Attendance), Medium (Risk), 4 (Classes Needed), "Warning: You need 4 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Zane attended 10 out of 20 classes | Zane (Student), 50.0% (Attendance), Medium (Risk), 5 (Classes Needed), "Warning: You need 5 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Maya attended 62 out of 80 classes | Maya (Student), 77.5% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Noah attended 5 out of 25 classes | Noah (Student), 20.0% (Attendance), High (Risk), 14 (Classes Needed), "Warning: You need 14 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Ava attended 65 out of 90 classes | Ava (Student), 72.22% (Attendance), Medium (Risk), 3 (Classes Needed), "Warning: You need 3 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Ethan attended 4 out of 8 classes | Ethan (Student), 50.0% (Attendance), Medium (Risk), 2 (Classes Needed), "Warning: You need 2 more classes to reach 75% attendance" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | Mia attended 77 out of 100 classes | Mia (Student), 77.0% (Attendance), Low (Risk), 0 (Classes Needed), "Attendance status is satisfactory" |
You are an intelligent assistant that analyzes student attendance data to identify at-risk students, calculate attendance percentage, and generate accurate shortage alerts. | James attended 10 out of 35 classes | James (Student), 28.57% (Attendance), High (Risk), 17 (Classes Needed), "Warning: You need 17 more classes to reach 75% attendance" |
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🤏 smolified-75track
Intelligence, Distilled.
This is a synthetic training corpus generated by the Smolify Foundry.
It was used to train the corresponding model Aishwarya0803/smolified-75track.
📦 Asset Details
- Origin: Smolify Foundry (Job ID:
40666c29) - Records: 640
- Type: Synthetic Instruction Tuning Data
⚖️ License & Ownership
This dataset is a sovereign asset owned by Aishwarya0803. Generated via Smolify.ai.
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