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.gitattributes

@@ -9,7 +9,6 @@
 *.joblib filter=lfs diff=lfs merge=lfs -text
 *.lfs.* filter=lfs diff=lfs merge=lfs -text
 *.lz4 filter=lfs diff=lfs merge=lfs -text
-*.mds filter=lfs diff=lfs merge=lfs -text
 *.mlmodel filter=lfs diff=lfs merge=lfs -text
 *.model filter=lfs diff=lfs merge=lfs -text
 *.msgpack filter=lfs diff=lfs merge=lfs -text
@@ -54,6 +53,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
-# Video files - compressed
-*.mp4 filter=lfs diff=lfs merge=lfs -text
-*.webm filter=lfs diff=lfs merge=lfs -text
+tvpl_dataset_filtered filter=lfs diff=lfs merge=lfs -text
+dedup/data_remapped/sft_tvpl filter=lfs diff=lfs merge=lfs -text
+dedup/data_remapped/tvpl_dataset filter=lfs diff=lfs merge=lfs -text
+dedup/data_remapped/zalo_legal_corpus filter=lfs diff=lfs merge=lfs -text
+dedup/tvpl_sft_dedup_and_resplit/DONOTUSE_tvpl_sft_reindexedbyquestion_notfiltered. filter=lfs diff=lfs merge=lfs -text

README.md

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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

child_nodes.parquet

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dedup/Readme.md

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+[Update 18/03/2024: an assessment file at lower threshold added in the eval folder]
+1. `merged_corpus/filtered_corpus.parquet`: Merged corpus with contexts from [SFT-Law]+[TVPL-structured]+[Zalo-corpus]. Clustered and then filtered. The filtering process prefers candidates from SFT and the longer ones.  `merged/reindexed_corpus.parquet` contains the clustered (without filtering) version. Short contexts are thrown away from these 2 files.
+
+2. `data_remapped/{file_name}`: data files taken from other repoes, added 2 fields: `oid` (Item's unique ID among 3 merged dataset, int) and `__cluster__` (Cluster ID, int, the index of the cluster that is assigned to the item based on the `text` column). File format is `parquet`.
+
+EXCEPTION: In `sft_tvpl`, context are stored in list.
+Hence, `__context_cluster__` and `contextoid` are the list equivalent of `__cluster__` and `oid`.
+
+Please refer to the corresponding repositories for document on the data.
+
+3. `tvpl_sft_resplit`: `tpvl_sft` reindexed by question and divided into train&test set (Duplicating candidates in a cluster are put in text or train set but not both at the same time). Test set has the MIN size of 10000. `__context_cluster__` is a mapping of `context` to the corpus.
+
+<!-- [tpvl_sft]: Ask pham son -->
+
+[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

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