--- license: mit task_categories: - text-retrieval - question-answering - sentence-similarity - text-generation - text-classification language: - vi tags: - sentence-transformers - transformers - PyTorch - law - dense-retrieval - semantic-search - benchmark - domain-specific - mteb size_categories: - 100K | List of relevant document IDs (subset of `corpus.cid`) | | `context_list` | list | List of text passages mapped from `cid` (aligned by index with `cid` field) | --- ## 4. **Example Usuage**: ```python from datasets import load_dataset ds = load_dataset("YuITC/Vietnamese-Legal-Doc-Retrieval-Data") print(ds["train"][0]) # { # "qid": 72600, # "question": "Liên đoàn Luật sư Việt Nam là tổ chức ...", # "context_list": ["Điều 2. Địa vị pháp lý của Liên đoàn Luật sư Việt Nam\n1. Liên đoàn Luật sư ..."] # "cid": [142820] # } ``` --- ## 5. Limitations - The dataset does not fully cover the entire Vietnamese legal system. - Legal texts contain domain-specific terminology, which may be challenging for non-expert users and models.