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@@ -28,7 +28,7 @@ This dataset contains **Indonesian legal documents** with **pre-computed embeddi
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  ## ✨ Key Features
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- - πŸ“š **5,000 Indonesian legal documents**
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  - 🎯 **Dense embeddings** (1024-dimensional vectors)
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  - πŸ“Š **TF-IDF vectors** (5000-dimensional sparse vectors)
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  - βš–οΈ **Complete legal metadata** (regulation type, year, authority, etc.)
@@ -69,7 +69,7 @@ This dataset contains **Indonesian legal documents** with **pre-computed embeddi
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  | πŸ“– `chapter` | string | - | Document chapter | "BAB I" |
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  | πŸ“„ `article` | string | - | Specific article | "Pasal 1" |
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  | πŸ“„ `content` | string | - | Full document text | "Pasal 1. Dalam Undang-undang..." |
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- | 🎯 `embedding` | list[float] | **768** | Dense semantic vectors | [0.1, 0.2, -0.3, ...] |
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  | πŸ“Š `tfidf_vector` | list[float] | **5000** | Sparse keyword vectors | [0.0, 0.15, 0.0, 0.8, ...] |
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  | πŸ”’ `chunk_id` | int | - | Document chunk number | 1 |
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  ## ✨ Key Features
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+ - πŸ“š **~10,000 Indonesian regulations**
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  - 🎯 **Dense embeddings** (1024-dimensional vectors)
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  - πŸ“Š **TF-IDF vectors** (5000-dimensional sparse vectors)
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  - βš–οΈ **Complete legal metadata** (regulation type, year, authority, etc.)
 
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  | πŸ“– `chapter` | string | - | Document chapter | "BAB I" |
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  | πŸ“„ `article` | string | - | Specific article | "Pasal 1" |
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  | πŸ“„ `content` | string | - | Full document text | "Pasal 1. Dalam Undang-undang..." |
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+ | 🎯 `embedding` | list[float] | **1024** | Dense semantic vectors | [0.1, 0.2, -0.3, ...] |
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  | πŸ“Š `tfidf_vector` | list[float] | **5000** | Sparse keyword vectors | [0.0, 0.15, 0.0, 0.8, ...] |
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  | πŸ”’ `chunk_id` | int | - | Document chunk number | 1 |
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