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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 ViLexNorm |
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### 1. Dataset Summary |
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**ViLexNorm** is a Vietnamese lexical normalization corpus of **10,467** comment pairs, each comprising an *original* noisy social‑media comment and its *normalized* counterpart. In this unified version, all pairs are merged into one CSV with a `type` column indicating `train` / `dev` / `test`, and two additional columns `input`/`output` containing the tokenized forms. |
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### 2. Supported Tasks and Metrics |
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* **Primary Task**: Sequence‑to‑sequence lexical normalization |
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* **Metric**: |
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* **Error Reduction Rate (ERR)** (van der Goot 2019) |
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* **Token‑level accuracy** |
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### 3. Languages |
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* Vietnamese |
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### 4. Dataset Structure |
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| Column | Type | Description | |
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| ------------ | ------ | -------------------------------------------- | |
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| `original` | string | The raw, unnormalized comment. | |
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| `normalized` | string | The corrected, normalized comment. | |
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| `input` | list | Tokenized original text (list of strings). | |
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| `output` | list | Tokenized normalized text (list of strings). | |
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| `type` | string | Split: `train` / `validation` / `test`. | |
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| `dataset` | string | Always `ViLexNorm` for provenance. | |
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### 5. Data Fields |
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* **original** (`str`): Noisy input sentence. |
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* **normalized** (`str`): Human‑annotated normalized sentence. |
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* **input** (`List[str]`): Token list of `original`. |
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* **output** (`List[str]`): Token list of `normalized`. |
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* **type** (`str`): Which split the example belongs to. |
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* **dataset** (`str`): Always `ViLexNorm`. |
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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/ViLexNorm") |
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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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print(train[0]) |
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``` |
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### 7. Source & Links |
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* **Paper**: Nguyen et al. (2024), “ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text” |
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[https://aclanthology.org/2024.eacl-long.85](https://aclanthology.org/2024.eacl-long.85) |
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* **Hugging Face** (this unified version): |
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[https://huggingface.co/datasets/visolex/ViLexNorm](https://huggingface.co/datasets/visolex/ViLexNorm) |
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* **Original GitHub** (if available): |
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[https://github.com/ngxtnhi/ViLexNorm](https://github.com/ngxtnhi/ViLexNorm) |
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### 8. Contact Information |
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* **Ms. Thanh‑Nhi Nguyen**: [21521232@gm.uit.edu.vn](mailto:21521232@gm.uit.edu.vn) |
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* **Mr. Thanh‑Phong Le**: [21520395@gm.uit.edu.vn](mailto:21520395@gm.uit.edu.vn) |
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### 9. Licensing and Citation |
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#### License |
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Released under **CC BY‑NC‑SA 4.0** (Creative Commons Attribution‑NonCommercial‑ShareAlike 4.0 International). |
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#### How to Cite |
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```bibtex |
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@inproceedings{nguyen-etal-2024-vilexnorm, |
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title = {ViLexNorm: A Lexical Normalization Corpus for Vietnamese Social Media Text}, |
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author = {Nguyen, Thanh-Nhi and Le, Thanh-Phong and Nguyen, Kiet}, |
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booktitle = {Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)}, |
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month = mar, |
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year = {2024}, |
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address = {St. Julian's, Malta}, |
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publisher = {Association for Computational Linguistics}, |
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url = {https://aclanthology.org/2024.eacl-long.85}, |
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pages = {1421--1437} |
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} |
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``` |
