Datasets:
Tasks:
Multiple Choice
Modalities:
Text
Formats:
json
Sub-tasks:
multiple-choice-qa
Languages:
Vietnamese
Size:
< 1K
License:
metadata
annotations_creators:
- no-annotation
language:
- vi
language_creators:
- found
license: cc-by-nc-4.0
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets: []
task_categories:
- multiple-choice
task_ids:
- multiple-choice-qa
AIO-2025 Vietnamese ML/DS Dataset
Vietnamese multiple-choice question dataset for AI, Machine Learning, and Data Science education.
Quick Start
Python / HuggingFace
from datasets import load_dataset
ds = load_dataset("vudang449/AIO-2025-Vietnamese-ML-DS")
print(ds["train"][0]["question"])
Local Files
import json
with open("aio2025_final_clean.jsonl") as f:
for line in f:
record = json.loads(line)
Dataset Summary
| Metric | Value |
|---|---|
| Total records | 197 |
| Balanced answers | A: 50, B: 50, C: 50, D: 47 |
| Pass rate | 100% (quality-verified) |
| Language | Vietnamese |
| License | CC BY-NC 4.0 |
Fields
| Field | Type | Description |
|---|---|---|
id |
string | Unique record ID |
question |
string | Question text |
option_a |
string | Choice A |
option_b |
string | Choice B |
option_c |
string | Choice C |
option_d |
string | Choice D |
answer |
string | Correct answer: A / B / C / D |
answer_index |
int | Numeric index (0=A, 1=B, 2=C, 3=D) |
source |
string | quiz / exam / vietnamese_exam |
module |
string | AIO course module (Module_3A–Module_14, Module_3B) |
difficulty |
string | EASY / MEDIUM / HARD |
Distribution
By Answer (balanced)
- A: 50 (25.4%), B: 50 (25.4%), C: 50 (25.4%), D: 47 (23.9%)
By Difficulty
- MEDIUM: 118 (59.9%)
- EASY: 71 (36.0%)
- HARD: 8 (4.1%)
By Module
- Module_3A: 2, Module_3B: 5, Module_4: 17, Module_5: 26
- Module_6: 24, Module_7: 27, Module_8: 10, Module_9: 27
- Module_10: 13, Module_11: 5, Module_12: 4, Module_13: 2
- Module_14: 6, Quizzes: 29
Quality Assurance
Records removed during cleaning (problematic records):
[Blank]placeholder markers- Cross-question dependencies
- Image/diagram dependencies
- Code in options (notebook exercises)
- Math fragment leakage in options
- Option contamination
- Schema inconsistencies
Citation
@dataset{aio2025vietnamese,
title = {AIO-2025 Vietnamese ML/DS Dataset},
author = {AIO Course},
year = {2025},
version = {v2.0.0},
license = {CC BY-NC 4.0},
}