Datasets:
File size: 3,956 Bytes
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license: mit
task_categories:
- text-generation
language:
- vi
tags:
- legal
size_categories:
- 1B<n<10B
---
# TVPL (thuvienphapluat.vn)
2. `structured_data_doc.parquet`: preprocessed version from only needed doc from tvpl . Please read by Datasets library
3. `parent_nodes.parquet`: parent nodes from [1] by chunking with `SentenceSplitter, chunk_overlap=0, chunk_size=800, tokenizer="Viet-Mistral/Vistral-7B-Chat"`
4. `child_nodes.parquet`: child nodes from [2] by chunking with `SentenceSplitter, chunk_overlap=30, chunk_size=190` and using Word Segmentation, vietnamese-bi-encoder
# Dedup
WARNING: IF YOU TRAIN PLEASE ONLY CONSIDER `dedup/filtered_corpus.parquet` and `dedup/newtraintestdivide/filtered_corpus.parquet`
1. `filtered_corpus.parquet`: Merged dataset [SFT-Law]+[TVPL-structured]+[Zalo-corpus]. Clustered and then filtered. Items with the longest text are kept.
- `text`: str
- `oid`: Item's unique ID among 3 merged dataset, int
- `__cluster__`: int
- `dataset`: Original dataset where the item is extracted from, str
- `__cluster_member__`: oid of cluster members from the original 3.
eg:
```
{
"text": "Thông tư này hướng dẫn tuần...",
"dataset": "zalo_legal_corpus",
"oid": 0,
"__cluster__": 0
}
```
2. newtraintestdivide folder contains newly divided SFT_law with 10k tests. `oid` and `__cluster__` has the same meaning as in `filtered_corpus.parquet`.
3. `data_remapped/{file_name}.parquet`: data files taken from other repoes, added 2 fields: `oid` (Item's unique ID among 3 merged dataset, int) and `__cluster__` (Cluster ID, int).
- sft_test+sft_train taken from [SFT-Law]
```
{
"reference": [
"https://thuvienphapluat.vn/..."
],
"answer": "Sinh viên học nghệ thuật ca trù ....",
"question": "Sinh viên học nghệ thuật ca trù tại ...?",
"domain": ["Tài chính nhà nước"],
"text": "Căn cứ tại khoản 1 Điều 3 T....",
"oid": 61425,
"__cluster__": 219110
}
```
- tvpl_dataset taken from [TVPL-structured] (only the `structured_data_doc.parquet` file)
```
{
"meta_data": {
"base": "Căn cứ Luật Tổ chức Chính phủ ngày 19 tháng 6 năm ...",
"content": "QUY ĐỊNH XỬ PHẠT VI PHẠM HÀNH CHÍNH...",
"date": "31/12/2021",
"department": "Chính phủ",
"doc_type": "Nghị định",
"file_name": "Decree_No._139_2021_ND-CP_dated_December_31,_2021_.json",
"id_doc": "139/2021/ND-CP",
"location": "Hà Nội",
"title": "Decree No. 139/2021/ND-CP dated December 31, 2021 on Administrative penalties for inland waterway navigation violations",
"updated": 1710417820
},
"child_data": [
{
"__cluster__": 253403,
"header": [
"Decree No. 139/2021/ND-CP dated...",
"Chương I. NHỮNG QUY ĐỊNH CHUNG"
],
"len_tokenizer": 157,
"lower_segmented_text": "điều 1 . phạm_vi điều_chỉnh...",
"oid": 232323,
"pointer_link": ["Chương I", "Điều 1"],
"text": "Điều 1. Phạm vi điều chỉnh\n1. ..."
}
]
}
```
- zalo_legal_corpus from [Zalo-corpus] (only the ` legal_corpus.json` file). `law_id` is append to articles.
```
{
"article_id": "1",
"text": "Thông tư này hướng dẫn tuần tra,...",
"title": "Điều 1. Phạm vi áp dụng",
"law_id": "01/2009/tt-bnn",
"oid": 0,
"__cluster__": 0
}
```
Please refer to the corresponding repositories for document on the data.
[SFT-Law]: https://huggingface.co/datasets/bkai-foundation-models/SFT-Law
[TVPL-structured]:https://huggingface.co/datasets/bkai-foundation-models/TVPL/blob/main/structured_data_doc.parquet
[Zalo-corpus]: https://huggingface.co/datasets/bkai-foundation-models/zalo_legal_2021/blob/main/original/legal_corpus.json |