| --- |
| 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 |
|
|
| ```json |
| { |
| "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 |
|
|
| ```python |
| from datasets import load_dataset |
| |
| dataset = load_dataset("dariurs/EduRO-FillBlank") |
| train = dataset["train"] |
| ``` |
|
|
| ## Construction Pipeline |
|
|
| 1. **Collection** — Romanian Wikipedia API, 45 academic categories, 4,364 articles |
| 2. **Masking** — scoring algorithm prioritizing content words |
| 3. **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) |
| 4. **Split** — 80/10/10 train/val/test |
|
|
| ## Associated Model |
|
|
| `dariurs/eduro-bert-romanian-fillblank-v3` |
|
|
| ## Citation |
|
|
| ``` |
| [to be added after paper publication] |
| ``` |
