metadata
language:
- ro
license: cc-by-sa-4.0
task_categories:
- fill-mask
tags:
- romanian
- educational
- fill-in-the-blank
- wikipedia
- academic
size_categories:
- 10K<n<100K
EduRO-FillBlank
A Romanian-language dataset of 72,541 fill-in-the-blank examples extracted from Romanian Wikipedia, covering 45 academic domains. Built to support fine-tuning of masked language models for automatic educational quiz generation.
Dataset Summary
| Property | Value |
|---|---|
| Language | Romanian |
| Domain | Academic (university-level) |
| Total examples (raw) | 100,212 |
| Total examples (cleaned) | 72,541 |
| Sources | 4,364 Romanian Wikipedia articles |
| Categories | 45 academic domains |
| License | CC BY-SA 4.0 |
Splits
| Split | File | Examples |
|---|---|---|
| Train | eduro_v2_train.csv | 58,032 |
| Validation | eduro_v2_val.csv | 7,254 |
| Test | eduro_v2_test.csv | 7,255 |
Dataset Structure
| Column | Type | Description |
|---|---|---|
sentence |
string | Original sentence from Wikipedia |
masked_sentence |
string | Sentence with target word replaced by _____ |
answer |
string | The masked word (correct answer) |
category |
string | Academic domain (e.g., Biologie, Informatică) |
source |
string | Wikipedia article title |
Example
{
"sentence": "Fotosinteza este procesul biochimic prin care plantele produc glucoza.",
"masked_sentence": "Fotosinteza este procesul _____ prin care plantele produc glucoza.",
"answer": "biochimic",
"category": "Biologie",
"source": "Fotosinteza"
}
How to Load
from datasets import load_dataset
dataset = load_dataset("dariurs/EduRO-FillBlank")
train = dataset["train"]
Construction Pipeline
- Collection — Romanian Wikipedia API, 45 academic categories, 4,364 articles
- Masking — scoring algorithm prioritizing content words
- Cleaning — 6-stage pipeline:
- Filter 1: Sub-token removal (−5,112)
- Filter 2: Frequency filtering (−16,631)
- Filter 3: Stopword removal (−2,463)
- Filter 4: Sentence quality (−3,386)
- Filter 5: Answer consistency (−68)
- Filter 6: Deduplication (−11)
- Split — 80/10/10 train/val/test
Associated Model
dariurs/eduro-bert-romanian-fillblank-v3
Citation
[to be added after paper publication]