Upload complete processed Indonesian legal database

README.md

@@ -1,3 +1,56 @@
----
-license: apache-2.0
----
+# Indonesian Legal RAG Processed Database
+
+This repository contains a fully preprocessed Indonesian legal regulation database ready for RAG (Retrieval Augmented Generation) systems.
+
+## Dataset Information
+- **Total Records**: 199,994
+- **Processing Date**: 2025-08-23
+- **Embedding Model**: Qwen/Qwen3-Embedding-0.6B
+- **Embedding Dimension**: 1024
+
+## Files Description
+
+### Main Database
+- `processed_legal_database.parquet` - Complete preprocessed database with all features
+- `embeddings.npy` - Pre-computed embeddings array for fast loading
+
+### Supporting Components  
+- `tfidf_components.pkl` - TF-IDF vectorizer and matrix for keyword matching
+- `knowledge_graph.json` - Legal concept relationships and hierarchy
+- `config.json` - Processing configuration and parameters
+- `processing_summary.json` - Processing statistics and metadata
+
+### Utilities
+- `database_loader.py` - Helper class for easy database loading
+
+## Features Included
+
+Each record contains:
+- **Basic Information**: Regulation type, number, year, enacting body, content
+- **Authority Score**: Hierarchical legal authority level (0-1)  
+- **Temporal Score**: Regulation currency/relevance (0-1)
+- **Legal Richness**: Legal term density and complexity (0-1)
+- **Cross-Reference Strength**: Inter-regulation connectivity (0-1)
+- **Completeness Score**: Information completeness (0-1)
+- **Knowledge Graph Features**: Entity extraction and concept relationships
+- **Pre-computed Embeddings**: Ready-to-use vector representations
+
+## Usage
+
+```python
+from database_loader import ProcessedLegalDatabaseLoader
+
+# Load complete database
+loader = ProcessedLegalDatabaseLoader(".", local_mode=True)
+df, embeddings, tfidf, kg, config = loader.load_all()
+
+# Ready for RAG system - no preprocessing needed!
+```
+
+## Memory Requirements
+- **Database**: ~1260MB
+- **Embeddings**: ~781MB  
+- **Total**: ~2747MB
+
+## License
+Please ensure compliance with Indonesian legal data usage regulations.

config.json

@@ -0,0 +1,53 @@
+{
+  "source_repo": "Azzindani/ID_REG_MD_Embed",
+  "embedding_model": "Qwen/Qwen3-Embedding-0.6B",
+  "embedding_dim": 1024,
+  "n_jobs": 3,
+  "batch_size": 100,
+  "chunk_size": 1000,
+  "total_records": 199994,
+  "processing_date": "2025-08-23T10:26:38.869072",
+  "regulation_hierarchy": {
+    "UUD": 10,
+    "TAP MPR": 9,
+    "UU": 8,
+    "PERPU": 7,
+    "PP": 6,
+    "PERPRES": 5,
+    "PERMEN": 4,
+    "PERGUB": 3,
+    "PERDA PROVINSI": 3,
+    "PERDA": 2,
+    "PERKADA": 2,
+    "PERDES": 1,
+    "KEPUTUSAN": 1,
+    "INSTRUKSI": 1,
+    "SURAT EDARAN": 1,
+    "PEDOMAN": 1
+  },
+  "entity_levels": {
+    "pusat": 5,
+    "nasional": 5,
+    "republik indonesia": 5,
+    "presiden": 5,
+    "menteri": 5,
+    "provinsi": 4,
+    "gubernur": 4,
+    "pemprov": 4,
+    "kabupaten": 3,
+    "bupati": 3,
+    "kota": 3,
+    "walikota": 3,
+    "pemkab": 3,
+    "pemkot": 3,
+    "desa": 2,
+    "kepala desa": 2,
+    "kades": 2,
+    "kelurahan": 1,
+    "lurah": 1,
+    "rt": 1,
+    "rw": 1
+  },
+  "legal_terms_count": 46,
+  "cross_ref_indicators_count": 18
+}

database_loader.py

@@ -0,0 +1,156 @@
+
+import pandas as pd
+import numpy as np
+import json
+import pickle
+from pathlib import Path
+from datasets import load_dataset
+from typing import Dict, List, Tuple, Optional
+import networkx as nx
+
+class ProcessedLegalDatabaseLoader:
+    """
+    Efficient loader for preprocessed Indonesian legal database
+    """
+    
+    def __init__(self, repo_or_path: str, local_mode: bool = False):
+        """
+        Initialize loader
+        
+        Args:
+            repo_or_path: HuggingFace repo ID or local path
+            local_mode: If True, load from local files
+        """
+        self.repo_or_path = repo_or_path
+        self.local_mode = local_mode
+        self.df = None
+        self.embeddings = None
+        self.tfidf_components = None
+        self.knowledge_graph = None
+        self.config = None
+        
+    def load_database(self) -> pd.DataFrame:
+        """Load main database"""
+        if self.local_mode:
+            db_path = Path(self.repo_or_path) / "processed_legal_database.parquet"
+            self.df = pd.read_parquet(db_path)
+        else:
+            dataset = load_dataset(self.repo_or_path, split='train')
+            self.df = dataset.to_pandas()
+            
+            # Convert JSON strings back to objects
+            self.df['kg_entities'] = self.df['kg_entities'].apply(
+                lambda x: json.loads(x) if isinstance(x, str) else x
+            )
+            self.df['kg_concepts'] = self.df['kg_concepts'].apply(
+                lambda x: json.loads(x) if isinstance(x, str) else x
+            )
+        
+        print(f"Database loaded: {len(self.df)} records")
+        return self.df
+    
+    def load_embeddings(self) -> np.ndarray:
+        """Load embeddings array"""
+        if self.local_mode:
+            emb_path = Path(self.repo_or_path) / "embeddings.npy"
+            self.embeddings = np.load(emb_path)
+        else:
+            # Extract from DataFrame
+            if self.df is None:
+                self.load_database()
+            
+            embeddings_list = []
+            for embedding in self.df['embedding']:
+                if isinstance(embedding, list):
+                    embeddings_list.append(np.array(embedding, dtype=np.float32))
+                else:
+                    embeddings_list.append(embedding)
+            
+            self.embeddings = np.vstack(embeddings_list)
+        
+        print(f"Embeddings loaded: {self.embeddings.shape}")
+        return self.embeddings
+    
+    def load_tfidf_components(self) -> Dict:
+        """Load TF-IDF components"""
+        if self.local_mode:
+            tfidf_path = Path(self.repo_or_path) / "tfidf_components.pkl"
+            with open(tfidf_path, 'rb') as f:
+                self.tfidf_components = pickle.load(f)
+        else:
+            print("TF-IDF components only available in local mode")
+            return None
+        
+        print("TF-IDF components loaded")
+        return self.tfidf_components
+    
+    def load_knowledge_graph(self) -> nx.DiGraph:
+        """Load knowledge graph"""
+        if self.local_mode:
+            kg_path = Path(self.repo_or_path) / "knowledge_graph.json"
+        else:
+            # Download from HuggingFace
+            from huggingface_hub import hf_hub_download
+            kg_path = hf_hub_download(
+                repo_id=self.repo_or_path,
+                filename="knowledge_graph.json",
+                repo_type="dataset"
+            )
+        
+        with open(kg_path, 'r', encoding='utf-8') as f:
+            kg_data = json.load(f)
+        
+        self.knowledge_graph = nx.node_link_graph(kg_data['graph'])
+        
+        print(f"Knowledge graph loaded: {self.knowledge_graph.number_of_nodes()} nodes, {self.knowledge_graph.number_of_edges()} edges")
+        return self.knowledge_graph
+    
+    def load_config(self) -> Dict:
+        """Load configuration"""
+        if self.local_mode:
+            config_path = Path(self.repo_or_path) / "config.json"
+        else:
+            from huggingface_hub import hf_hub_download
+            config_path = hf_hub_download(
+                repo_id=self.repo_or_path,
+                filename="config.json",
+                repo_type="dataset"
+            )
+        
+        with open(config_path, 'r', encoding='utf-8') as f:
+            self.config = json.load(f)
+        
+        print("Configuration loaded")
+        return self.config
+    
+    def load_all(self) -> Tuple[pd.DataFrame, np.ndarray, Dict, nx.DiGraph, Dict]:
+        """Load all components"""
+        database = self.load_database()
+        embeddings = self.load_embeddings()
+        tfidf = self.load_tfidf_components()
+        kg = self.load_knowledge_graph()
+        config = self.load_config()
+        
+        return database, embeddings, tfidf, kg, config
+    
+    def get_statistics(self) -> Dict:
+        """Get database statistics"""
+        if self.df is None:
+            self.load_database()
+        
+        stats = {
+            'total_records': len(self.df),
+            'unique_regulation_types': self.df['regulation_type'].nunique(),
+            'date_range': f"{self.df['year'].min()} - {self.df['year'].max()}",
+            'avg_authority_score': self.df['authority_score'].mean(),
+            'avg_temporal_score': self.df['temporal_score'].mean(),
+            'avg_legal_richness': self.df['legal_richness'].mean(),
+            'avg_kg_connectivity': self.df['kg_connectivity'].mean(),
+            'embedding_dim': self.df['embedding_dim'].iloc[0] if 'embedding_dim' in self.df.columns else None
+        }
+        
+        return stats
+
+# Example usage:
+# loader = ProcessedLegalDatabaseLoader("your-username/indonesian-legal-rag-processed")
+# df, embeddings, tfidf, kg, config = loader.load_all()

embeddings.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4e351f00729062d5dede323762a36103a3515564eb9ae38d01ecf7676f8e9cdd
+size 819175552

knowledge_graph.json

@@ -0,0 +1,1281 @@
+{
+  "graph": {
+    "directed": true,
+    "multigraph": false,
+    "graph": {},
+    "nodes": [
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 10,
+        "id": "UUD"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 9,
+        "id": "TAP MPR"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 8,
+        "id": "UU"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 7,
+        "id": "PERPU"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 6,
+        "id": "PP"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 5,
+        "id": "PERPRES"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 4,
+        "id": "PERMEN"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 3,
+        "id": "PERGUB"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 3,
+        "id": "PERDA PROVINSI"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 2,
+        "id": "PERDA"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 2,
+        "id": "PERKADA"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 1,
+        "id": "PERDES"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 1,
+        "id": "KEPUTUSAN"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 1,
+        "id": "INSTRUKSI"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 1,
+        "id": "SURAT EDARAN"
+      },
+      {
+        "type": "regulation_type",
+        "hierarchy_level": 1,
+        "id": "PEDOMAN"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 5,
+        "name": "pusat",
+        "id": "entity_pusat"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 5,
+        "name": "nasional",
+        "id": "entity_nasional"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 5,
+        "name": "republik indonesia",
+        "id": "entity_republik indonesia"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 5,
+        "name": "presiden",
+        "id": "entity_presiden"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 5,
+        "name": "menteri",
+        "id": "entity_menteri"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 4,
+        "name": "provinsi",
+        "id": "entity_provinsi"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 4,
+        "name": "gubernur",
+        "id": "entity_gubernur"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 4,
+        "name": "pemprov",
+        "id": "entity_pemprov"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 3,
+        "name": "kabupaten",
+        "id": "entity_kabupaten"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 3,
+        "name": "bupati",
+        "id": "entity_bupati"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 3,
+        "name": "kota",
+        "id": "entity_kota"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 3,
+        "name": "walikota",
+        "id": "entity_walikota"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 3,
+        "name": "pemkab",
+        "id": "entity_pemkab"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 3,
+        "name": "pemkot",
+        "id": "entity_pemkot"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 2,
+        "name": "desa",
+        "id": "entity_desa"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 2,
+        "name": "kepala desa",
+        "id": "entity_kepala desa"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 2,
+        "name": "kades",
+        "id": "entity_kades"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 1,
+        "name": "kelurahan",
+        "id": "entity_kelurahan"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 1,
+        "name": "lurah",
+        "id": "entity_lurah"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 1,
+        "name": "rt",
+        "id": "entity_rt"
+      },
+      {
+        "type": "government_entity",
+        "authority_level": 1,
+        "name": "rw",
+        "id": "entity_rw"
+      },
+      {
+        "type": "concept_cluster",
+        "name": "sanctions",
+        "id": "cluster_sanctions"
+      },
+      {
+        "type": "legal_concept",
+        "name": "sanksi",
+        "id": "concept_sanksi"
+      },
+      {
+        "type": "legal_concept",
+        "name": "pidana",
+        "id": "concept_pidana"
+      },
+      {
+        "type": "legal_concept",
+        "name": "denda",
+        "id": "concept_denda"
+      },
+      {
+        "type": "legal_concept",
+        "name": "hukuman",
+        "id": "concept_hukuman"
+      },
+      {
+        "type": "legal_concept",
+        "name": "larangan",
+        "id": "concept_larangan"
+      },
+      {
+        "type": "concept_cluster",
+        "name": "obligations",
+        "id": "cluster_obligations"
+      },
+      {
+        "type": "legal_concept",
+        "name": "wajib",
+        "id": "concept_wajib"
+      },
+      {
+        "type": "legal_concept",
+        "name": "harus",
+        "id": "concept_harus"
+      },
+      {
+        "type": "legal_concept",
+        "name": "kewajiban",
+        "id": "concept_kewajiban"
+      },
+      {
+        "type": "legal_concept",
+        "name": "tanggung jawab",
+        "id": "concept_tanggung jawab"
+      },
+      {
+        "type": "concept_cluster",
+        "name": "rights",
+        "id": "cluster_rights"
+      },
+      {
+        "type": "legal_concept",
+        "name": "dapat",
+        "id": "concept_dapat"
+      },
+      {
+        "type": "legal_concept",
+        "name": "berhak",
+        "id": "concept_berhak"
+      },
+      {
+        "type": "legal_concept",
+        "name": "hak",
+        "id": "concept_hak"
+      },
+      {
+        "type": "legal_concept",
+        "name": "kewenangan",
+        "id": "concept_kewenangan"
+      },
+      {
+        "type": "concept_cluster",
+        "name": "procedures",
+        "id": "cluster_procedures"
+      },
+      {
+        "type": "legal_concept",
+        "name": "prosedur",
+        "id": "concept_prosedur"
+      },
+      {
+        "type": "legal_concept",
+        "name": "tata cara",
+        "id": "concept_tata cara"
+      },
+      {
+        "type": "legal_concept",
+        "name": "persyaratan",
+        "id": "concept_persyaratan"
+      },
+      {
+        "type": "legal_concept",
+        "name": "izin",
+        "id": "concept_izin"
+      },
+      {
+        "type": "concept_cluster",
+        "name": "structure",
+        "id": "cluster_structure"
+      },
+      {
+        "type": "legal_concept",
+        "name": "pasal",
+        "id": "concept_pasal"
+      },
+      {
+        "type": "legal_concept",
+        "name": "ayat",
+        "id": "concept_ayat"
+      },
+      {
+        "type": "legal_concept",
+        "name": "huruf",
+        "id": "concept_huruf"
+      },
+      {
+        "type": "legal_concept",
+        "name": "angka",
+        "id": "concept_angka"
+      },
+      {
+        "type": "legal_concept",
+        "name": "bab",
+        "id": "concept_bab"
+      },
+      {
+        "type": "concept_cluster",
+        "name": "subjects",
+        "id": "cluster_subjects"
+      },
+      {
+        "type": "legal_concept",
+        "name": "badan hukum",
+        "id": "concept_badan hukum"
+      },
+      {
+        "type": "legal_concept",
+        "name": "perusahaan",
+        "id": "concept_perusahaan"
+      },
+      {
+        "type": "legal_concept",
+        "name": "instansi",
+        "id": "concept_instansi"
+      },
+      {
+        "type": "legal_concept",
+        "name": "lembaga",
+        "id": "concept_lembaga"
+      }
+    ],
+    "links": [
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "TAP MPR"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "UU"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PERPU"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PP"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PERPRES"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PERMEN"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PERGUB"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PERDA PROVINSI"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PERDA"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PERKADA"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PERDES"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "KEPUTUSAN"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "INSTRUKSI"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "SURAT EDARAN"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "UUD",
+        "target": "PEDOMAN"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "TAP MPR",
+        "target": "UU"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "TAP MPR",
+        "target": "PERPU"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "TAP MPR",
+        "target": "PP"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "TAP MPR",
+        "target": "PERPRES"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "TAP MPR",
+        "target": "PERMEN"
+      },
+      {
+        "relation": "is_superior_to",
+        "weight": 0.8,
+        "source": "TAP MPR",
+        "target": "PERGUB"
+      },
+      {
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+    "TAP MPR": "regulation_type",
+    "UU": "regulation_type",
+    "PERPU": "regulation_type",
+    "PP": "regulation_type",
+    "PERPRES": "regulation_type",
+    "PERMEN": "regulation_type",
+    "PERGUB": "regulation_type",
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+    "PERKADA": "regulation_type",
+    "PERDES": "regulation_type",
+    "KEPUTUSAN": "regulation_type",
+    "INSTRUKSI": "regulation_type",
+    "SURAT EDARAN": "regulation_type",
+    "PEDOMAN": "regulation_type",
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+    "entity_nasional": "government_entity",
+    "entity_republik indonesia": "government_entity",
+    "entity_presiden": "government_entity",
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+    "concept_denda": "legal_concept",
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+    "concept_dapat": "legal_concept",
+    "concept_berhak": "legal_concept",
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+    "concept_perusahaan": "legal_concept",
+    "concept_instansi": "legal_concept",
+    "concept_lembaga": "legal_concept"
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+    "concept_denda": "cluster_sanctions",
+    "concept_hukuman": "cluster_sanctions",
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+    "concept_tanggung jawab": "cluster_obligations",
+    "concept_dapat": "cluster_rights",
+    "concept_berhak": "cluster_rights",
+    "concept_hak": "cluster_rights",
+    "concept_kewenangan": "cluster_rights",
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+    "concept_ayat": "cluster_structure",
+    "concept_huruf": "cluster_structure",
+    "concept_angka": "cluster_structure",
+    "concept_bab": "cluster_structure",
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+    "concept_perusahaan": "cluster_subjects",
+    "concept_instansi": "cluster_subjects",
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+  },
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+}

processed_legal_database.parquet

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processing_summary.json

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+{
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+  "embedding_shape": [
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+  "kg_edges": 134,
+  "avg_entities_per_record": 16.55410162304869,
+  "processing_time_estimate": "Calculated during processing",
+  "file_sizes": {
+    "database_parquet": "1259.86 MB",
+    "embeddings_npy": "781.23 MB",
+    "tfidf_pkl": "705.53 MB",
+    "knowledge_graph_json": "29.84 KB"
+  }
+}

tfidf_components.pkl

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