feat: push custom dataset

README.md

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+---
+license: apache-2.0
+task_categories:
+- feature-extraction
+- sentence-similarity
+language:
+- fr
+- en
+tags:
+- sentence-transformers
+- feature-extraction
+- sentence-similarity
+- mteb
+- Query
+- Document
+- Argument
+- Counter
+- Boost
+pretty_name: information retrieval system
+size_categories:
+- n<1K
+---
+# deepspeed-from-new-new-docker Dataset
+
+## Dataset Description
+
+The dataset "information retrieval system" is a generated dataset designed to support the development of domain specific embedding models for retrieval tasks.
+
+## Associated Model
+
+This dataset was used to train the [**deepspeed-from-new-new-docker**](https://huggingface.co/fine-tuned/deepspeed-from-new-new-docker) model.
+
+## How to Use
+To use this dataset for model training or evaluation, you can load it using the Hugging Face `datasets` library as follows:
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("fine-tuned/deepspeed-from-new-new-docker")
+print(dataset['test'][0])
+```

domain-specific-config.json

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+{
+    "general_domain_description": "information retrieval system",
+    "query_language": "English",
+    "query_types": [
+        "argument"
+    ],
+    "query_length_min": 1,
+    "query_length_max": 1,
+    "document_language": "French",
+    "document_types": [
+        "counter argument boost"
+    ],
+    "document_length_min": 3,
+    "document_length_max": 3,
+    "tags": [
+        "Query",
+        "Document",
+        "Argument",
+        "Counter",
+        "Boost"
+    ],
+    "topics": [
+        "API (Application Programming Interface)",
+        "Abstracting",
+        "Abstracts",
+        "Accessibility",
+        "Accumulated Relevance",
+        "Acoustic Modeling",
+        "Acquisition",
+        "Actionable Insights",
+        "Active Learning",
+        "Ad Hoc Query",
+        "Adaptive Filtering",
+        "Adaptive Search",
+        "Additive Clustering",
+        "Adjacency Matrix",
+        "Adjustment Coefficients",
+        "Administrative Metadata",
+        "Adversarial Information Retrieval",
+        "Affinity Analysis",
+        "Agent-based Modeling",
+        "Aggregated Search Results",
+        "Aggregation Strategy",
+        "Algorithmic Bias",
+        "Alignment",
+        "Allocative Efficiency",
+        "Altmetrics",
+        "Ambient Findability",
+        "Analogous Querying",
+        "Analytic Hierarchy Process",
+        "Anaphora Resolution",
+        "Anchor Text",
+        "Anecdotal Evidence",
+        "Anomaly Detection",
+        "Answer Passage Retrieval",
+        "Anticipatory Systems",
+        "Apache Lucene",
+        "Apache Solr",
+        "Applicability Domain",
+        "Applied Linguistics",
+        "Approximate Query Processing",
+        "Arbitrary Precision Arithmetic",
+        "Architecture of Participation",
+        "Archival Science",
+        "Argument Mining",
+        "Aristotelian Logic",
+        "Arithmetic Coding",
+        "Array Database",
+        "Artificial Immune Systems",
+        "Aspect-based Information Retrieval",
+        "Associative Search",
+        "Asymmetric Relevance",
+        "Asynchronous Search",
+        "Attribute-based Access Control",
+        "Augmented Cognition",
+        "Author Disambiguation",
+        "Authoritative Sources",
+        "Auto-categorization",
+        "Autoencoder Networks",
+        "Automatic Query Expansion",
+        "Automatic Summarization",
+        "Autonomous Agents",
+        "Backward Indexing",
+        "Bag-of-Words",
+        "Balanced Scorecard",
+        "Bayesian Inference",
+        "Behavioral Targeting",
+        "Binary Classification",
+        "Binary Search",
+        "Biomedical Informatics",
+        "Biometric Authentication",
+        "Bipartite Graph",
+        "Black Box Testing",
+        "Blockchain Technology",
+        "Boolean Retrieval",
+        "Botnet Detection",
+        "Boundary Value Analysis",
+        "Branch Prediction",
+        "Breadcrumb Navigation",
+        "Buffer Overflow",
+        "Business Intelligence",
+        "Business Process Modeling",
+        "Bytecode Compilation",
+        "Cache Coherence",
+        "Canonicalization",
+        "Cascading Style Sheets",
+        "Categorical Indexing",
+        "Cepstral Analysis",
+        "Character Encoding",
+        "Chunking Algorithm",
+        "Circuit Switching",
+        "Clustering Algorithm",
+        "Cognitive Radio",
+        "Collaborative Filtering",
+        "Column-Oriented Database",
+        "Combinatorial Optimization",
+        "Common Gateway Interface",
+        "Compact Data Structure",
+        "Complex Event Processing",
+        "Computational Complexity",
+        "Concurrent Programming",
+        "Content Addressable Memory",
+        "Contextual Advertising",
+        "Control Flow Graph",
+        "Convolutional Neural Network",
+        "Cross-Origin Resource Sharing",
+        "Cryptographic Hash Function",
+        "Cuckoo Filter",
+        "Currying Function",
+        "Cyber-Physical System",
+        "Data Mining",
+        "Database Management",
+        "Decomposition",
+        "Deduplication",
+        "Deep Learning",
+        "Defuzzification",
+        "Delexicalization",
+        "Demosaicing",
+        "Denoising",
+        "Dependency Parsing",
+        "Design Pattern",
+        "Deterministic Algorithm",
+        "Differential Privacy",
+        "Dimensionality Reduction",
+        "Disambiguation",
+        "Discrete Cosine Transform",
+        "Document Clustering",
+        "Domain Adaptation",
+        "Domain Specific Language",
+        "Dynamic Programming",
+        "Early Fusion",
+        "Edge Detection",
+        "Efficient Frontier",
+        "Eigenvalue Decomposition",
+        "Elastic Net Regularization",
+        "Electron Microscopy",
+        "Emotion Recognition",
+        "Empirical Risk Minimization",
+        "Ensemble Learning",
+        "Entity Resolution",
+        "Epipolar Geometry",
+        "Error Backpropagation",
+        "Error Correction Code",
+        "Error Function",
+        "Evolutionary Algorithm",
+        "Expectation-Maximization Algorithm",
+        "Expert System",
+        "Explanatory Variable",
+        "Exploratory Data Analysis",
+        "Exponential Smoothing",
+        "Faceted Search",
+        "False Positive",
+        "Feature Extraction",
+        "Feature Selection",
+        "Federated Search",
+        "Feedback Loop",
+        "Fingerprint Recognition",
+        "Flattening Filter",
+        "Formal Concept Analysis",
+        "Forward Indexing",
+        "Frequency Inverse Document Frequency",
+        "Full-Text Search",
+        "Functional Dependency",
+        "Garbage Collection",
+        "Geographic Information Retrieval",
+        "Geospatial Query",
+        "Global Inverted Index",
+        "Granular Computing",
+        "Granularity Level",
+        "Graph-Based Retrieval",
+        "Graphical User Interface",
+        "Grey Literature",
+        "Ground Truth",
+        "Grouping Algorithm",
+        "Heuristic Evaluation",
+        "Hypertext",
+        "Indexing",
+        "Information Extraction",
+        "Information Filtering",
+        "Information Retrieval",
+        "Keyword Extraction",
+        "Knowledge Base",
+        "Knowledge Graph",
+        "Knowledge Management",
+        "Knowledge Representation",
+        "Latent Semantic Analysis",
+        "Latent Semantic Indexing",
+        "Learning to Rank",
+        "Lemmatization",
+        "Lexical Analysis",
+        "Lexical Chain",
+        "Lexicon",
+        "Lift",
+        "Link Analysis",
+        "Link Farm",
+        "Link Graph",
+        "Link Popularity",
+        "Link Spam",
+        "Linked Data",
+        "Local Coherence",
+        "Local Context Analysis",
+        "Local Document Analysis",
+        "Log Likelihood Ratio",
+        "Logical Form",
+        "Long Query",
+        "Long-Tail Query",
+        "Lookahead Feature",
+        "Loss Function",
+        "Low-Quality Content",
+        "Lucene",
+        "Machine Learning",
+        "Machine Translation",
+        "Macro Averaging",
+        "Main Path Analysis",
+        "Malformed Query",
+        "Mallet",
+        "MapReduce",
+        "Marginal Relevance",
+        "Markov Decision Process",
+        "Matching Function",
+        "Matrix Factorization",
+        "Mean Average Precision",
+        "Mean Reciprocal Rank",
+        "Metadata",
+        "Metasearch Engine",
+        "Metric Learning",
+        "Micro Averaging",
+        "Microblogging Retrieval",
+        "Minimum Edit Distance",
+        "Minimum Spanning Tree",
+        "Misinformation Detection",
+        "Mixed Initiative Retrieval",
+        "Mobile Search",
+        "Model Fusion",
+        "Monolingual Retrieval",
+        "Morphological Analysis",
+        "Moses",
+        "Natural Language Processing",
+        "Neural Networks",
+        "Noise Reduction",
+        "Nonparametric Methods",
+        "Object Detection",
+        "Object Recognition",
+        "Occlusion Handling",
+        "Online Learning",
+        "Ontology",
+        "Ontology Engineering",
+        "Ontology Matching",
+        "Ontology Reasoning",
+        "Open Information Extraction",
+        "Optical Character Recognition",
+        "Optical Flow Estimation",
+        "Optimization Algorithms",
+        "Optimization Problem",
+        "Ordinal Regression",
+        "Out-of-Vocabulary Words",
+        "Outlier Detection",
+        "Overfitting Prevention",
+        "Overlapping Clustering",
+        "PageRank",
+        "PageRank Algorithm",
+        "Paradigmatic",
+        "Paraphrase",
+        "Parse Tree",
+        "Pattern Matching",
+        "Pattern Recognition",
+        "Perceptron",
+        "Phrase-based Translation",
+        "Phraseology",
+        "Plagiarism Detection",
+        "Poisson Distribution",
+        "Polysemy",
+        "Porter Stemmer",
+        "Precision-Recall",
+        "Probabilistic Model",
+        "Probabilistic Retrieval",
+        "Proximity Search",
+        "Queriable Document Collection",
+        "Querier",
+        "Query Expansion",
+        "Query Language",
+        "Query Performance Prediction",
+        "Query Processing",
+        "Query Rewriting",
+        "Query Term Weighting",
+        "Question Answering",
+        "Quine-McCluskey Algorithm",
+        "Quintile Analysis",
+        "Ranking Algorithm",
+        "Recall Rate",
+        "Relevance Analysis",
+        "Relevance Assessment",
+        "Relevance Detection",
+        "Relevance Enhancement",
+        "Relevance Evaluation",
+        "Relevance Feedback",
+        "Relevance Filtering",
+        "Relevance Identification",
+        "Relevance Improvement",
+        "Relevance Integration",
+        "Relevance Judgement",
+        "Relevance Measure",
+        "Relevance Modeling",
+        "Relevance Optimization",
+        "Relevance Prediction",
+        "Relevance Prediction Model",
+        "Relevance Ranking",
+        "Relevance Ranking Model",
+        "Relevance Recognition",
+        "Relevance Score",
+        "Relevance Threshold",
+        "Relevance Weighting",
+        "Retrieval Algorithm",
+        "Retrieval Architecture",
+        "Retrieval Component",
+        "Retrieval Efficiency",
+        "Retrieval Evaluation",
+        "Retrieval Framework",
+        "Retrieval Mechanism",
+        "Retrieval Methodology",
+        "Retrieval Model",
+        "Retrieval Operation",
+        "Retrieval Optimization",
+        "Retrieval Paradigm",
+        "Retrieval Performance",
+        "Retrieval Process",
+        "Retrieval Quality",
+        "Retrieval Strategy",
+        "Retrieval System",
+        "Retrieval Task",
+        "Retrieval Technique",
+        "Retrieval Time",
+        "Retrieval Utility",
+        "Retrieval Utility Model",
+        "Salient Features",
+        "Search Algorithm",
+        "Search Engine Optimization",
+        "Semantic Analysis",
+        "Semantic Search",
+        "Sentiment Analysis",
+        "Sequential Pattern Mining",
+        "Session-based Recommendation",
+        "Similarity Measure",
+        "Singular Value Decomposition",
+        "Social Network Analysis",
+        "Soft Clustering",
+        "Source Retrieval",
+        "Spam Filtering",
+        "Sparse Indexing",
+        "Spatial Query Processing",
+        "Spectral Ranking",
+        "Spelling Correction",
+        "Stemming Algorithm",
+        "Stopword Removal",
+        "Structured Data",
+        "Structured Query Language",
+        "Supervised Learning",
+        "Support Vector Machine",
+        "Synonym Detection",
+        "Synonym Expansion",
+        "System Evaluation",
+        "System Performance Metrics",
+        "System Robustness",
+        "System Scalability",
+        "System Usability Testing",
+        "Systematic Sampling",
+        "Tagging",
+        "Tanimoto Coefficient",
+        "Taxonomy",
+        "Term Frequency",
+        "Term Proximity",
+        "Term Weighting",
+        "Text Analytics",
+        "Text Classification",
+        "Text Corpus",
+        "Text Mining",
+        "Text Normalization",
+        "Text Retrieval Conference (TREC)",
+        "Text Summarization",
+        "Thematic Analysis",
+        "Thesaurus",
+        "Tokenization",
+        "Topic Modeling",
+        "Topic Segmentation",
+        "Topical Relevance",
+        "Truncated Search",
+        "Tuple",
+        "Type-Token Ratio",
+        "Unstructured Data",
+        "Update Propagation",
+        "User Feedback",
+        "User Intent",
+        "User Modeling",
+        "User Profile",
+        "Vector Space Model",
+        "Versioning Control",
+        "Vertical Search",
+        "Vocabulary Mismatch",
+        "Voice Search Optimization",
+        "Web Crawling",
+        "Web Indexing",
+        "Weighted Term Frequency-Inverse Document Frequency (TF-IDF)",
+        "Wildcard Search",
+        "Word Embedding",
+        "Word Sense Disambiguation",
+        "Word Stemming",
+        "XML Retrieval",
+        "XPath Querying",
+        "XQuery Full-Text Search",
+        "Zero-shot Learning",
+        "Zipf's Law"
+    ]
+}

samples_eval.jsonl

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+{"query": "Efficiency", "pos": ["Productivité améliorée"], "neg": ["Pertinence insuffisante", "Structuration inefficace", "adaptabilité efficace", "Visibilité limitée", "Classification automatique", "Personnalisation limitée", "Résistance au changement"]}
+{"query": "Relevance", "pos": ["Pertinence insuffisante"], "neg": ["Productivité améliorée", "Structuration inefficace", "adaptabilité efficace", "Visibilité limitée", "Classification automatique", "Personnalisation limitée", "Résistance au changement"]}
+{"query": "Organization", "pos": ["Structuration inefficace"], "neg": ["Productivité améliorée", "Pertinence insuffisante", "adaptabilité efficace", "Visibilité limitée", "Classification automatique", "Personnalisation limitée", "Résistance au changement"]}
+{"query": "Scalability", "pos": ["adaptabilité efficace"], "neg": ["Productivité améliorée", "Pertinence insuffisante", "Structuration inefficace", "Visibilité limitée", "Classification automatique", "Personnalisation limitée", "Résistance au changement"]}
+{"query": "Discoverability", "pos": ["Visibilité limitée"], "neg": ["Productivité améliorée", "Pertinence insuffisante", "Structuration inefficace", "adaptabilité efficace", "Classification automatique", "Personnalisation limitée", "Résistance au changement"]}
+{"query": "Categorization", "pos": ["Classification automatique"], "neg": ["Productivité améliorée", "Pertinence insuffisante", "Structuration inefficace", "adaptabilité efficace", "Visibilité limitée", "Personnalisation limitée", "Résistance au changement"]}
+{"query": "Personalization", "pos": ["Personnalisation limitée"], "neg": ["Productivité améliorée", "Pertinence insuffisante", "Structuration inefficace", "adaptabilité efficace", "Visibilité limitée", "Classification automatique", "Résistance au changement"]}
+{"query": "Innovation", "pos": ["Résistance au changement"], "neg": ["Productivité améliorée", "Pertinence insuffisante", "Structuration inefficace", "adaptabilité efficace", "Visibilité limitée", "Classification automatique", "Personnalisation limitée"]}
+{"query": "Productivité améliorée", "pos": ["Efficiency"], "neg": ["Relevance", "Organization", "Scalability", "Discoverability", "Categorization", "Personalization", "Innovation"]}
+{"query": "Pertinence insuffisante", "pos": ["Relevance"], "neg": ["Efficiency", "Organization", "Scalability", "Discoverability", "Categorization", "Personalization", "Innovation"]}
+{"query": "Structuration inefficace", "pos": ["Organization"], "neg": ["Efficiency", "Relevance", "Scalability", "Discoverability", "Categorization", "Personalization", "Innovation"]}
+{"query": "adaptabilité efficace", "pos": ["Scalability"], "neg": ["Efficiency", "Relevance", "Organization", "Discoverability", "Categorization", "Personalization", "Innovation"]}
+{"query": "Visibilité limitée", "pos": ["Discoverability"], "neg": ["Efficiency", "Relevance", "Organization", "Scalability", "Categorization", "Personalization", "Innovation"]}
+{"query": "Classification automatique", "pos": ["Categorization"], "neg": ["Efficiency", "Relevance", "Organization", "Scalability", "Discoverability", "Personalization", "Innovation"]}
+{"query": "Personnalisation limitée", "pos": ["Personalization"], "neg": ["Efficiency", "Relevance", "Organization", "Scalability", "Discoverability", "Categorization", "Innovation"]}
+{"query": "Résistance au changement", "pos": ["Innovation"], "neg": ["Efficiency", "Relevance", "Organization", "Scalability", "Discoverability", "Categorization", "Personalization"]}

samples_train.jsonl

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+{"query": "Convergence", "pos": ["Divergence"], "neg": ["Descente de pente", "Problème disparition gradient", "Erreur critique", "Global perspective needed", "Localisé", "Surapprentissage évité", "Sous-apprentissage insuffisant"]}
+{"query": "Gradient", "pos": ["Descente de pente"], "neg": ["Divergence", "Problème disparition gradient", "Erreur critique", "Global perspective needed", "Localisé", "Surapprentissage évité", "Sous-apprentissage insuffisant"]}
+{"query": "Vanishing", "pos": ["Problème disparition gradient"], "neg": ["Divergence", "Descente de pente", "Erreur critique", "Global perspective needed", "Localisé", "Surapprentissage évité", "Sous-apprentissage insuffisant"]}
+{"query": "Exploding", "pos": ["Erreur critique"], "neg": ["Divergence", "Descente de pente", "Problème disparition gradient", "Global perspective needed", "Localisé", "Surapprentissage évité", "Sous-apprentissage insuffisant"]}
+{"query": "Local", "pos": ["Global perspective needed"], "neg": ["Divergence", "Descente de pente", "Problème disparition gradient", "Erreur critique", "Localisé", "Surapprentissage évité", "Sous-apprentissage insuffisant"]}
+{"query": "Global", "pos": ["Localisé"], "neg": ["Divergence", "Descente de pente", "Problème disparition gradient", "Erreur critique", "Global perspective needed", "Surapprentissage évité", "Sous-apprentissage insuffisant"]}
+{"query": "Overfitting", "pos": ["Surapprentissage évité"], "neg": ["Divergence", "Descente de pente", "Problème disparition gradient", "Erreur critique", "Global perspective needed", "Localisé", "Sous-apprentissage insuffisant"]}
+{"query": "Underfitting", "pos": ["Sous-apprentissage insuffisant"], "neg": ["Divergence", "Descente de pente", "Problème disparition gradient", "Erreur critique", "Global perspective needed", "Localisé", "Surapprentissage évité"]}
+{"query": "Divergence", "pos": ["Convergence"], "neg": ["Gradient", "Vanishing", "Exploding", "Local", "Global", "Overfitting", "Underfitting"]}
+{"query": "Descente de pente", "pos": ["Gradient"], "neg": ["Convergence", "Vanishing", "Exploding", "Local", "Global", "Overfitting", "Underfitting"]}
+{"query": "Problème disparition gradient", "pos": ["Vanishing"], "neg": ["Convergence", "Gradient", "Exploding", "Local", "Global", "Overfitting", "Underfitting"]}
+{"query": "Erreur critique", "pos": ["Exploding"], "neg": ["Convergence", "Gradient", "Vanishing", "Local", "Global", "Overfitting", "Underfitting"]}
+{"query": "Global perspective needed", "pos": ["Local"], "neg": ["Convergence", "Gradient", "Vanishing", "Exploding", "Global", "Overfitting", "Underfitting"]}
+{"query": "Localisé", "pos": ["Global"], "neg": ["Convergence", "Gradient", "Vanishing", "Exploding", "Local", "Overfitting", "Underfitting"]}
+{"query": "Surapprentissage évité", "pos": ["Overfitting"], "neg": ["Convergence", "Gradient", "Vanishing", "Exploding", "Local", "Global", "Underfitting"]}
+{"query": "Sous-apprentissage insuffisant", "pos": ["Underfitting"], "neg": ["Convergence", "Gradient", "Vanishing", "Exploding", "Local", "Global", "Overfitting"]}
+{"query": "Relevance", "pos": ["Pertinence locale insuffisante"], "neg": ["Incohérence locale", "Manque de cohérence", "Cohérence locale insuffisante", "Cohérence globale", "Harmonie locale insuffisante", "unité thématique", "Manque d'intégration"]}
+{"query": "Consistency", "pos": ["Incohérence locale"], "neg": ["Pertinence locale insuffisante", "Manque de cohérence", "Cohérence locale insuffisante", "Cohérence globale", "Harmonie locale insuffisante", "unité thématique", "Manque d'intégration"]}
+{"query": "Context", "pos": ["Manque de cohérence"], "neg": ["Pertinence locale insuffisante", "Incohérence locale", "Cohérence locale insuffisante", "Cohérence globale", "Harmonie locale insuffisante", "unité thématique", "Manque d'intégration"]}
+{"query": "Connectivity", "pos": ["Cohérence locale insuffisante"], "neg": ["Pertinence locale insuffisante", "Incohérence locale", "Manque de cohérence", "Cohérence globale", "Harmonie locale insuffisante", "unité thématique", "Manque d'intégration"]}
+{"query": "Flow", "pos": ["Cohérence globale"], "neg": ["Pertinence locale insuffisante", "Incohérence locale", "Manque de cohérence", "Cohérence locale insuffisante", "Harmonie locale insuffisante", "unité thématique", "Manque d'intégration"]}
+{"query": "Unity", "pos": ["Harmonie locale insuffisante"], "neg": ["Pertinence locale insuffisante", "Incohérence locale", "Manque de cohérence", "Cohérence locale insuffisante", "Cohérence globale", "unité thématique", "Manque d'intégration"]}
+{"query": "Cohesion", "pos": ["unité thématique"], "neg": ["Pertinence locale insuffisante", "Incohérence locale", "Manque de cohérence", "Cohérence locale insuffisante", "Cohérence globale", "Harmonie locale insuffisante", "Manque d'intégration"]}
+{"query": "Integration", "pos": ["Manque d'intégration"], "neg": ["Pertinence locale insuffisante", "Incohérence locale", "Manque de cohérence", "Cohérence locale insuffisante", "Cohérence globale", "Harmonie locale insuffisante", "unité thématique"]}
+{"query": "Pertinence locale insuffisante", "pos": ["Relevance"], "neg": ["Consistency", "Context", "Connectivity", "Flow", "Unity", "Cohesion", "Integration"]}
+{"query": "Incohérence locale", "pos": ["Consistency"], "neg": ["Relevance", "Context", "Connectivity", "Flow", "Unity", "Cohesion", "Integration"]}
+{"query": "Manque de cohérence", "pos": ["Context"], "neg": ["Relevance", "Consistency", "Connectivity", "Flow", "Unity", "Cohesion", "Integration"]}
+{"query": "Cohérence locale insuffisante", "pos": ["Connectivity"], "neg": ["Relevance", "Consistency", "Context", "Flow", "Unity", "Cohesion", "Integration"]}
+{"query": "Cohérence globale", "pos": ["Flow"], "neg": ["Relevance", "Consistency", "Context", "Connectivity", "Unity", "Cohesion", "Integration"]}
+{"query": "Harmonie locale insuffisante", "pos": ["Unity"], "neg": ["Relevance", "Consistency", "Context", "Connectivity", "Flow", "Cohesion", "Integration"]}
+{"query": "unité thématique", "pos": ["Cohesion"], "neg": ["Relevance", "Consistency", "Context", "Connectivity", "Flow", "Unity", "Integration"]}
+{"query": "Manque d'intégration", "pos": ["Integration"], "neg": ["Relevance", "Consistency", "Context", "Connectivity", "Flow", "Unity", "Cohesion"]}
+{"query": "Reliability", "pos": ["Fiabilité incertaine"], "neg": ["Résistance accrue", "Résistance aux pannes", "Fiabilité du système", "Rigidité du système", "Fiabilité accrue", "Fiabilité du système", "Flexibilité opérationnelle accrue"]}
+{"query": "Resilience", "pos": ["Résistance accrue"], "neg": ["Fiabilité incertaine", "Résistance aux pannes", "Fiabilité du système", "Rigidité du système", "Fiabilité accrue", "Fiabilité du système", "Flexibilité opérationnelle accrue"]}
+{"query": "Fault-tolerance", "pos": ["Résistance aux pannes"], "neg": ["Fiabilité incertaine", "Résistance accrue", "Fiabilité du système", "Rigidité du système", "Fiabilité accrue", "Fiabilité du système", "Flexibilité opérationnelle accrue"]}
+{"query": "Scalability", "pos": ["Fiabilité du système"], "neg": ["Fiabilité incertaine", "Résistance accrue", "Résistance aux pannes", "Rigidité du système", "Fiabilité accrue", "Fiabilité du système", "Flexibilité opérationnelle accrue"]}
+{"query": "Adaptability", "pos": ["Rigidité du système"], "neg": ["Fiabilité incertaine", "Résistance accrue", "Résistance aux pannes", "Fiabilité du système", "Fiabilité accrue", "Fiabilité du système", "Flexibilité opérationnelle accrue"]}
+{"query": "Redundancy", "pos": ["Fiabilité accrue"], "neg": ["Fiabilité incertaine", "Résistance accrue", "Résistance aux pannes", "Fiabilité du système", "Rigidité du système", "Fiabilité du système", "Flexibilité opérationnelle accrue"]}
+{"query": "Consistency", "pos": ["Fiabilité du système"], "neg": ["Fiabilité incertaine", "Résistance accrue", "Résistance aux pannes", "Fiabilité du système", "Rigidité du système", "Fiabilité accrue", "Flexibilité opérationnelle accrue"]}
+{"query": "Durability", "pos": ["Flexibilité opérationnelle accrue"], "neg": ["Fiabilité incertaine", "Résistance accrue", "Résistance aux pannes", "Fiabilité du système", "Rigidité du système", "Fiabilité accrue", "Fiabilité du système"]}
+{"query": "Fiabilité incertaine", "pos": ["Reliability"], "neg": ["Resilience", "Fault-tolerance", "Scalability", "Adaptability", "Redundancy", "Consistency", "Durability"]}
+{"query": "Résistance accrue", "pos": ["Resilience"], "neg": ["Reliability", "Fault-tolerance", "Scalability", "Adaptability", "Redundancy", "Consistency", "Durability"]}
+{"query": "Résistance aux pannes", "pos": ["Fault-tolerance"], "neg": ["Reliability", "Resilience", "Scalability", "Adaptability", "Redundancy", "Consistency", "Durability"]}
+{"query": "Fiabilité du système", "pos": ["Scalability"], "neg": ["Reliability", "Resilience", "Fault-tolerance", "Adaptability", "Redundancy", "Consistency", "Durability"]}
+{"query": "Rigidité du système", "pos": ["Adaptability"], "neg": ["Reliability", "Resilience", "Fault-tolerance", "Scalability", "Redundancy", "Consistency", "Durability"]}
+{"query": "Fiabilité accrue", "pos": ["Redundancy"], "neg": ["Reliability", "Resilience", "Fault-tolerance", "Scalability", "Adaptability", "Consistency", "Durability"]}
+{"query": "Fiabilité du système", "pos": ["Consistency"], "neg": ["Reliability", "Resilience", "Fault-tolerance", "Scalability", "Adaptability", "Redundancy", "Durability"]}
+{"query": "Flexibilité opérationnelle accrue", "pos": ["Durability"], "neg": ["Reliability", "Resilience", "Fault-tolerance", "Scalability", "Adaptability", "Redundancy", "Consistency"]}
+{"query": "Precision", "pos": ["Exactitude élevée requise"], "neg": ["Se souvenir", "Mesure Harmonique", "Classement insuffisant", "Pertinence inexistante", "Extraction Pertinente Information", "Expansion de requête", "Mesure d'évaluation"]}
+{"query": "Recall", "pos": ["Se souvenir"], "neg": ["Exactitude élevée requise", "Mesure Harmonique", "Classement insuffisant", "Pertinence inexistante", "Extraction Pertinente Information", "Expansion de requête", "Mesure d'évaluation"]}
+{"query": "F1 Score", "pos": ["Mesure Harmonique"], "neg": ["Exactitude élevée requise", "Se souvenir", "Classement insuffisant", "Pertinence inexistante", "Extraction Pertinente Information", "Expansion de requête", "Mesure d'évaluation"]}
+{"query": "Ranking", "pos": ["Classement insuffisant"], "neg": ["Exactitude élevée requise", "Se souvenir", "Mesure Harmonique", "Pertinence inexistante", "Extraction Pertinente Information", "Expansion de requête", "Mesure d'évaluation"]}
+{"query": "Relevance", "pos": ["Pertinence inexistante"], "neg": ["Exactitude élevée requise", "Se souvenir", "Mesure Harmonique", "Classement insuffisant", "Extraction Pertinente Information", "Expansion de requête", "Mesure d'évaluation"]}
+{"query": "Information Retrieval", "pos": ["Extraction Pertinente Information"], "neg": ["Exactitude élevée requise", "Se souvenir", "Mesure Harmonique", "Classement insuffisant", "Pertinence inexistante", "Expansion de requête", "Mesure d'évaluation"]}
+{"query": "Query Expansion", "pos": ["Expansion de requête"], "neg": ["Exactitude élevée requise", "Se souvenir", "Mesure Harmonique", "Classement insuffisant", "Pertinence inexistante", "Extraction Pertinente Information", "Mesure d'évaluation"]}
+{"query": "Evaluation Metrics", "pos": ["Mesure d'évaluation"], "neg": ["Exactitude élevée requise", "Se souvenir", "Mesure Harmonique", "Classement insuffisant", "Pertinence inexistante", "Extraction Pertinente Information", "Expansion de requête"]}
+{"query": "Exactitude élevée requise", "pos": ["Precision"], "neg": ["Recall", "F1 Score", "Ranking", "Relevance", "Information Retrieval", "Query Expansion", "Evaluation Metrics"]}
+{"query": "Se souvenir", "pos": ["Recall"], "neg": ["Precision", "F1 Score", "Ranking", "Relevance", "Information Retrieval", "Query Expansion", "Evaluation Metrics"]}
+{"query": "Mesure Harmonique", "pos": ["F1 Score"], "neg": ["Precision", "Recall", "Ranking", "Relevance", "Information Retrieval", "Query Expansion", "Evaluation Metrics"]}
+{"query": "Classement insuffisant", "pos": ["Ranking"], "neg": ["Precision", "Recall", "F1 Score", "Relevance", "Information Retrieval", "Query Expansion", "Evaluation Metrics"]}
+{"query": "Pertinence inexistante", "pos": ["Relevance"], "neg": ["Precision", "Recall", "F1 Score", "Ranking", "Information Retrieval", "Query Expansion", "Evaluation Metrics"]}
+{"query": "Extraction Pertinente Information", "pos": ["Information Retrieval"], "neg": ["Precision", "Recall", "F1 Score", "Ranking", "Relevance", "Query Expansion", "Evaluation Metrics"]}
+{"query": "Expansion de requête", "pos": ["Query Expansion"], "neg": ["Precision", "Recall", "F1 Score", "Ranking", "Relevance", "Information Retrieval", "Evaluation Metrics"]}
+{"query": "Mesure d'évaluation", "pos": ["Evaluation Metrics"], "neg": ["Precision", "Recall", "F1 Score", "Ranking", "Relevance", "Information Retrieval", "Query Expansion"]}
+{"query": "Optimization", "pos": ["amélioration inefficace"], "neg": ["optimisation inefficace", "Termes requis", "Paramètres", "Raisonnement défectueux", "Complexité accrue", "Logique propositionnelle", "Mathématiques"]}
+{"query": "Minimization", "pos": ["optimisation inefficace"], "neg": ["amélioration inefficace", "Termes requis", "Paramètres", "Raisonnement défectueux", "Complexité accrue", "Logique propositionnelle", "Mathématiques"]}
+{"query": "Implicants", "pos": ["Termes requis"], "neg": ["amélioration inefficace", "optimisation inefficace", "Paramètres", "Raisonnement défectueux", "Complexité accrue", "Logique propositionnelle", "Mathématiques"]}
+{"query": "Variables", "pos": ["Paramètres"], "neg": ["amélioration inefficace", "optimisation inefficace", "Termes requis", "Raisonnement défectueux", "Complexité accrue", "Logique propositionnelle", "Mathématiques"]}
+{"query": "Logic", "pos": ["Raisonnement défectueux"], "neg": ["amélioration inefficace", "optimisation inefficace", "Termes requis", "Paramètres", "Complexité accrue", "Logique propositionnelle", "Mathématiques"]}
+{"query": "Simplification", "pos": ["Complexité accrue"], "neg": ["amélioration inefficace", "optimisation inefficace", "Termes requis", "Paramètres", "Raisonnement défectueux", "Logique propositionnelle", "Mathématiques"]}
+{"query": "Boolean", "pos": ["Logique propositionnelle"], "neg": ["amélioration inefficace", "optimisation inefficace", "Termes requis", "Paramètres", "Raisonnement défectueux", "Complexité accrue", "Mathématiques"]}
+{"query": "Algebra", "pos": ["Mathématiques"], "neg": ["amélioration inefficace", "optimisation inefficace", "Termes requis", "Paramètres", "Raisonnement défectueux", "Complexité accrue", "Logique propositionnelle"]}
+{"query": "amélioration inefficace", "pos": ["Optimization"], "neg": ["Minimization", "Implicants", "Variables", "Logic", "Simplification", "Boolean", "Algebra"]}
+{"query": "optimisation inefficace", "pos": ["Minimization"], "neg": ["Optimization", "Implicants", "Variables", "Logic", "Simplification", "Boolean", "Algebra"]}
+{"query": "Termes requis", "pos": ["Implicants"], "neg": ["Optimization", "Minimization", "Variables", "Logic", "Simplification", "Boolean", "Algebra"]}
+{"query": "Paramètres", "pos": ["Variables"], "neg": ["Optimization", "Minimization", "Implicants", "Logic", "Simplification", "Boolean", "Algebra"]}
+{"query": "Raisonnement défectueux", "pos": ["Logic"], "neg": ["Optimization", "Minimization", "Implicants", "Variables", "Simplification", "Boolean", "Algebra"]}
+{"query": "Complexité accrue", "pos": ["Simplification"], "neg": ["Optimization", "Minimization", "Implicants", "Variables", "Logic", "Boolean", "Algebra"]}
+{"query": "Logique propositionnelle", "pos": ["Boolean"], "neg": ["Optimization", "Minimization", "Implicants", "Variables", "Logic", "Simplification", "Algebra"]}
+{"query": "Mathématiques", "pos": ["Algebra"], "neg": ["Optimization", "Minimization", "Implicants", "Variables", "Logic", "Simplification", "Boolean"]}
+{"query": "Efficiency", "pos": ["Productivité améliorée"], "neg": ["Efficacité insuffisante du système", "Facilité d'apprentissage", "efficacité opérationnelle accrue", "Taux d'erreur", "Expérience utilisateur insatisfaisante", "Tâche inachevée", "Tests d'utilisabilité nécessaires"]}
+{"query": "Effectiveness", "pos": ["Efficacité insuffisante du système"], "neg": ["Productivité améliorée", "Facilité d'apprentissage", "efficacité opérationnelle accrue", "Taux d'erreur", "Expérience utilisateur insatisfaisante", "Tâche inachevée", "Tests d'utilisabilité nécessaires"]}
+{"query": "Learnability", "pos": ["Facilité d'apprentissage"], "neg": ["Productivité améliorée", "Efficacité insuffisante du système", "efficacité opérationnelle accrue", "Taux d'erreur", "Expérience utilisateur insatisfaisante", "Tâche inachevée", "Tests d'utilisabilité nécessaires"]}
+{"query": "Satisfaction", "pos": ["efficacité opérationnelle accrue"], "neg": ["Productivité améliorée", "Efficacité insuffisante du système", "Facilité d'apprentissage", "Taux d'erreur", "Expérience utilisateur insatisfaisante", "Tâche inachevée", "Tests d'utilisabilité nécessaires"]}
+{"query": "Error rate", "pos": ["Taux d'erreur"], "neg": ["Productivité améliorée", "Efficacité insuffisante du système", "Facilité d'apprentissage", "efficacité opérationnelle accrue", "Expérience utilisateur insatisfaisante", "Tâche inachevée", "Tests d'utilisabilité nécessaires"]}
+{"query": "User engagement", "pos": ["Expérience utilisateur insatisfaisante"], "neg": ["Productivité améliorée", "Efficacité insuffisante du système", "Facilité d'apprentissage", "efficacité opérationnelle accrue", "Taux d'erreur", "Tâche inachevée", "Tests d'utilisabilité nécessaires"]}
+{"query": "Task completion", "pos": ["Tâche inachevée"], "neg": ["Productivité améliorée", "Efficacité insuffisante du système", "Facilité d'apprentissage", "efficacité opérationnelle accrue", "Taux d'erreur", "Expérience utilisateur insatisfaisante", "Tests d'utilisabilité nécessaires"]}
+{"query": "User feedback", "pos": ["Tests d'utilisabilité nécessaires"], "neg": ["Productivité améliorée", "Efficacité insuffisante du système", "Facilité d'apprentissage", "efficacité opérationnelle accrue", "Taux d'erreur", "Expérience utilisateur insatisfaisante", "Tâche inachevée"]}
+{"query": "Productivité améliorée", "pos": ["Efficiency"], "neg": ["Effectiveness", "Learnability", "Satisfaction", "Error rate", "User engagement", "Task completion", "User feedback"]}
+{"query": "Efficacité insuffisante du système", "pos": ["Effectiveness"], "neg": ["Efficiency", "Learnability", "Satisfaction", "Error rate", "User engagement", "Task completion", "User feedback"]}
+{"query": "Facilité d'apprentissage", "pos": ["Learnability"], "neg": ["Efficiency", "Effectiveness", "Satisfaction", "Error rate", "User engagement", "Task completion", "User feedback"]}
+{"query": "efficacité opérationnelle accrue", "pos": ["Satisfaction"], "neg": ["Efficiency", "Effectiveness", "Learnability", "Error rate", "User engagement", "Task completion", "User feedback"]}
+{"query": "Taux d'erreur", "pos": ["Error rate"], "neg": ["Efficiency", "Effectiveness", "Learnability", "Satisfaction", "User engagement", "Task completion", "User feedback"]}
+{"query": "Expérience utilisateur insatisfaisante", "pos": ["User engagement"], "neg": ["Efficiency", "Effectiveness", "Learnability", "Satisfaction", "Error rate", "Task completion", "User feedback"]}
+{"query": "Tâche inachevée", "pos": ["Task completion"], "neg": ["Efficiency", "Effectiveness", "Learnability", "Satisfaction", "Error rate", "User engagement", "User feedback"]}
+{"query": "Tests d'utilisabilité nécessaires", "pos": ["User feedback"], "neg": ["Efficiency", "Effectiveness", "Learnability", "Satisfaction", "Error rate", "User engagement", "Task completion"]}
+{"query": "Efficiency", "pos": ["Productivité améliorée"], "neg": ["Fiabilité supérieure", "Extensibilité insuffisante", "Manque de rigidité", "Pertinence contestée", "Efficacité plutôt que vitesse", "Simplicité supérieure", "Flexibilité insuffisante"]}
+{"query": "Accuracy", "pos": ["Fiabilité supérieure"], "neg": ["Productivité améliorée", "Extensibilité insuffisante", "Manque de rigidité", "Pertinence contestée", "Efficacité plutôt que vitesse", "Simplicité supérieure", "Flexibilité insuffisante"]}
+{"query": "Scalability", "pos": ["Extensibilité insuffisante"], "neg": ["Productivité améliorée", "Fiabilité supérieure", "Manque de rigidité", "Pertinence contestée", "Efficacité plutôt que vitesse", "Simplicité supérieure", "Flexibilité insuffisante"]}
+{"query": "Flexibility", "pos": ["Manque de rigidité"], "neg": ["Productivité améliorée", "Fiabilité supérieure", "Extensibilité insuffisante", "Pertinence contestée", "Efficacité plutôt que vitesse", "Simplicité supérieure", "Flexibilité insuffisante"]}
+{"query": "Relevance", "pos": ["Pertinence contestée"], "neg": ["Productivité améliorée", "Fiabilité supérieure", "Extensibilité insuffisante", "Manque de rigidité", "Efficacité plutôt que vitesse", "Simplicité supérieure", "Flexibilité insuffisante"]}
+{"query": "Speed", "pos": ["Efficacité plutôt que vitesse"], "neg": ["Productivité améliorée", "Fiabilité supérieure", "Extensibilité insuffisante", "Manque de rigidité", "Pertinence contestée", "Simplicité supérieure", "Flexibilité insuffisante"]}
+{"query": "Complexity", "pos": ["Simplicité supérieure"], "neg": ["Productivité améliorée", "Fiabilité supérieure", "Extensibilité insuffisante", "Manque de rigidité", "Pertinence contestée", "Efficacité plutôt que vitesse", "Flexibilité insuffisante"]}
+{"query": "Adaptability", "pos": ["Flexibilité insuffisante"], "neg": ["Productivité améliorée", "Fiabilité supérieure", "Extensibilité insuffisante", "Manque de rigidité", "Pertinence contestée", "Efficacité plutôt que vitesse", "Simplicité supérieure"]}
+{"query": "Productivité améliorée", "pos": ["Efficiency"], "neg": ["Accuracy", "Scalability", "Flexibility", "Relevance", "Speed", "Complexity", "Adaptability"]}
+{"query": "Fiabilité supérieure", "pos": ["Accuracy"], "neg": ["Efficiency", "Scalability", "Flexibility", "Relevance", "Speed", "Complexity", "Adaptability"]}
+{"query": "Extensibilité insuffisante", "pos": ["Scalability"], "neg": ["Efficiency", "Accuracy", "Flexibility", "Relevance", "Speed", "Complexity", "Adaptability"]}
+{"query": "Manque de rigidité", "pos": ["Flexibility"], "neg": ["Efficiency", "Accuracy", "Scalability", "Relevance", "Speed", "Complexity", "Adaptability"]}
+{"query": "Pertinence contestée", "pos": ["Relevance"], "neg": ["Efficiency", "Accuracy", "Scalability", "Flexibility", "Speed", "Complexity", "Adaptability"]}
+{"query": "Efficacité plutôt que vitesse", "pos": ["Speed"], "neg": ["Efficiency", "Accuracy", "Scalability", "Flexibility", "Relevance", "Complexity", "Adaptability"]}
+{"query": "Simplicité supérieure", "pos": ["Complexity"], "neg": ["Efficiency", "Accuracy", "Scalability", "Flexibility", "Relevance", "Speed", "Adaptability"]}
+{"query": "Flexibilité insuffisante", "pos": ["Adaptability"], "neg": ["Efficiency", "Accuracy", "Scalability", "Flexibility", "Relevance", "Speed", "Complexity"]}
+{"query": "Anomaly detection", "pos": ["Détection d'irrégularités"], "neg": ["Réduction de dimensions", "Extraction de caractéristiques", "Apprentissage non supervisé", "Réduction de bruit", "Apprentissage des représentations", "Modélisation discriminative", "apprentissage spécifique"]}
+{"query": "Dimensionality reduction", "pos": ["Réduction de dimensions"], "neg": ["Détection d'irrégularités", "Extraction de caractéristiques", "Apprentissage non supervisé", "Réduction de bruit", "Apprentissage des représentations", "Modélisation discriminative", "apprentissage spécifique"]}
+{"query": "Feature extraction", "pos": ["Extraction de caractéristiques"], "neg": ["Détection d'irrégularités", "Réduction de dimensions", "Apprentissage non supervisé", "Réduction de bruit", "Apprentissage des représentations", "Modélisation discriminative", "apprentissage spécifique"]}
+{"query": "Data compression", "pos": ["Apprentissage non supervisé"], "neg": ["Détection d'irrégularités", "Réduction de dimensions", "Extraction de caractéristiques", "Réduction de bruit", "Apprentissage des représentations", "Modélisation discriminative", "apprentissage spécifique"]}
+{"query": "Image denoising", "pos": ["Réduction de bruit"], "neg": ["Détection d'irrégularités", "Réduction de dimensions", "Extraction de caractéristiques", "Apprentissage non supervisé", "Apprentissage des représentations", "Modélisation discriminative", "apprentissage spécifique"]}
+{"query": "Representation learning", "pos": ["Apprentissage des représentations"], "neg": ["Détection d'irrégularités", "Réduction de dimensions", "Extraction de caractéristiques", "Apprentissage non supervisé", "Réduction de bruit", "Modélisation discriminative", "apprentissage spécifique"]}
+{"query": "Generative modeling", "pos": ["Modélisation discriminative"], "neg": ["Détection d'irrégularités", "Réduction de dimensions", "Extraction de caractéristiques", "Apprentissage non supervisé", "Réduction de bruit", "Apprentissage des représentations", "apprentissage spécifique"]}
+{"query": "Transfer learning", "pos": ["apprentissage spécifique"], "neg": ["Détection d'irrégularités", "Réduction de dimensions", "Extraction de caractéristiques", "Apprentissage non supervisé", "Réduction de bruit", "Apprentissage des représentations", "Modélisation discriminative"]}
+{"query": "Détection d'irrégularités", "pos": ["Anomaly detection"], "neg": ["Dimensionality reduction", "Feature extraction", "Data compression", "Image denoising", "Representation learning", "Generative modeling", "Transfer learning"]}
+{"query": "Réduction de dimensions", "pos": ["Dimensionality reduction"], "neg": ["Anomaly detection", "Feature extraction", "Data compression", "Image denoising", "Representation learning", "Generative modeling", "Transfer learning"]}
+{"query": "Extraction de caractéristiques", "pos": ["Feature extraction"], "neg": ["Anomaly detection", "Dimensionality reduction", "Data compression", "Image denoising", "Representation learning", "Generative modeling", "Transfer learning"]}
+{"query": "Apprentissage non supervisé", "pos": ["Data compression"], "neg": ["Anomaly detection", "Dimensionality reduction", "Feature extraction", "Image denoising", "Representation learning", "Generative modeling", "Transfer learning"]}
+{"query": "Réduction de bruit", "pos": ["Image denoising"], "neg": ["Anomaly detection", "Dimensionality reduction", "Feature extraction", "Data compression", "Representation learning", "Generative modeling", "Transfer learning"]}
+{"query": "Apprentissage des représentations", "pos": ["Representation learning"], "neg": ["Anomaly detection", "Dimensionality reduction", "Feature extraction", "Data compression", "Image denoising", "Generative modeling", "Transfer learning"]}
+{"query": "Modélisation discriminative", "pos": ["Generative modeling"], "neg": ["Anomaly detection", "Dimensionality reduction", "Feature extraction", "Data compression", "Image denoising", "Representation learning", "Transfer learning"]}
+{"query": "apprentissage spécifique", "pos": ["Transfer learning"], "neg": ["Anomaly detection", "Dimensionality reduction", "Feature extraction", "Data compression", "Image denoising", "Representation learning", "Generative modeling"]}