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--- |
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task_categories: |
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- token-classification |
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language: |
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- vi |
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--- |
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## Dataset Card for BKEE |
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### 1. Dataset Summary |
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**BKEE** is the first Vietnamese **Event Extraction** dataset, containing **1,066** fully annotated documents covering: |
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* **33+ event types** |
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* **28 argument roles** |
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* Entity mentions, event mentions, and relation mentions |
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This resource addresses the lack of Vietnamese‑specific EE datasets and supports tasks from event detection to argument extraction. |
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### 2. Supported Tasks and Metrics |
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* **Tasks** |
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* Entity Mention Detection |
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* Event Detection |
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* Event Argument Extraction |
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* **Metrics** |
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* Precision / Recall / F1 (per subtask) |
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* Overall document‑level accuracy |
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### 3. Languages |
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* Vietnamese |
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### 4. Dataset Structure |
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All splits have been merged into one CSV. Each row corresponds to one sentence mention: |
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| Column | Type | Description | |
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| ------------------- | ------ | ----------------------------------------------------- | |
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| `doc_id` | string | Unique document identifier (e.g. “train-00001”). | |
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| `sent_id` | string | Unique sentence identifier within a document. | |
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| `tokens` | list | Tokenized words. | |
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| `sentence` | string | Original sentence text. | |
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| `event_types` | list | List of event type labels occurring in this sentence. | |
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| `argument_roles` | list | List of argument-role labels aligned to `tokens`. | |
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| `entity_mentions` | list | List of entity mention spans (start, end, label). | |
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| `event_mentions` | list | List of event trigger spans (start, end, label). | |
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| `relation_mentions` | list | List of relations between arguments and events. | |
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| `type` | string | Split: `train` / `dev` / `test`. | |
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| `dataset` | string | Always `BKEE` (for provenance). | |
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### 5. Data Fields |
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* **doc\_id**, **sent\_id** (`str`): Document and sentence IDs. |
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* **tokens** (`List[str]`): Tokenized text. |
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* **sentence** (`str`): Raw sentence. |
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* **event\_types**, **argument\_roles**, **entity\_mentions**, **event\_mentions**, **relation\_mentions**: Annotations per sentence. |
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* **type** (`str`): Data split. |
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* **dataset** (`str`): Always `BKEE`. |
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### 6. Usage |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("visolex/BKEE") |
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# Filter by split |
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train = ds.filter(lambda ex: ex["type"] == "train") |
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val = ds.filter(lambda ex: ex["type"] == "dev") |
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test = ds.filter(lambda ex: ex["type"] == "test") |
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# Inspect one example |
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print(train[0]) |
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``` |
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### 7. Source & Links |
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* **GitHub** (original data & code): |
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[https://github.com/nhungnt/BKEE](https://github.com/nhungnt/BKEE) ([github.com][2]) |
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* **Paper**: |
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Thi‑Nhung Nguyen et al. (2024), “BKEE: Pioneering Event Extraction in the Vietnamese Language,” *LREC‑COLING 2024*. ([aclanthology.org][1]) |
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* **Hugging Face (this unified version)**: |
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[https://huggingface.co/datasets/visolex/BKEE](https://huggingface.co/datasets/visolex/BKEE) |
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### 8. License |
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Released under **CC BY‑NC 4.0**. See the GitHub repo for full terms. |
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### 9. Citation |
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```bibtex |
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@inproceedings{nguyen-etal-2024-bkee, |
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title = {BKEE: Pioneering Event Extraction in the Vietnamese Language}, |
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author = {Nguyen, Thi-Nhung and Tran, Bang Tien and Luu, Trong-Nghia and |
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Nguyen, Thien Huu and Nguyen, Kiem-Hieu}, |
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booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}, |
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month = may, |
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year = {2024}, |
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address = {Torino, Italia}, |
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publisher = {ELRA and ICCL}, |
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url = {https://aclanthology.org/2024.lrec-main.217}, |
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pages = {2421--2427} |
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} |
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``` |
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```bibtex |
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@misc{nhungnt_bkee, |
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title = {BKEE: Pioneering Event Extraction in the Vietnamese Language}, |
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author = {{nhungnt}}, |
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howpublished = {\url{https://github.com/nhungnt/BKEE}}, |
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year = {2024} |
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} |
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``` |
