| { |
| "kg": { |
| "adapter": "synth_kg_text.kg.hetionet:HetionetAdapter", |
| "name": "hetionet", |
| "version": "v1.0", |
| "raw_path": null, |
| "cache_dir": "/work/evaluation/synth-kg-text/.cache/kg", |
| "artifacts_dir": "/work/evaluation/synth-kg-text/artifacts", |
| "source_url": "https://media.githubusercontent.com/media/hetio/hetionet/main/hetnet/json/hetionet-v1.0.json.bz2", |
| "sha256": "a342ab57e9073e6c02bb5e109d1f16917e6f933be4e5c77ebbaebfa26b984c19", |
| "expected_size": 16112094, |
| "expected_nodes": 47031, |
| "expected_edges": 2250197, |
| "expected_node_types": 11, |
| "expected_relation_types": 24, |
| "terminology": "Hetionet v1.0", |
| "metapaths": [] |
| }, |
| "dataset": { |
| "allocation": { |
| "mode": "weights", |
| "target_examples": null, |
| "tasks": { |
| "atomic_qa": 0.2, |
| "mcq": 0.16, |
| "support_classification": 0.16, |
| "relation_classification": 0.16, |
| "multihop_qa": 0.2, |
| "graph_to_text": 0.08, |
| "text_to_graph": 0.04 |
| } |
| }, |
| "oversampling_fraction": 0.2, |
| "seed": 42, |
| "splits": { |
| "train": 0.9, |
| "validation": 0.05, |
| "test": 0.05 |
| }, |
| "max_message_tokens": 2048, |
| "audit_fraction": 0.01 |
| }, |
| "tasks": { |
| "atomic_qa": { |
| "class_path": "synth_kg_text.tasks.generators:AtomicQAGenerator", |
| "max_variants_per_unit": 3, |
| "relation_strategy": "inverse_sqrt", |
| "relation_weights": {}, |
| "llm_rewrite": true, |
| "max_generation_attempts": 3, |
| "context_grounded_fraction": 0.0, |
| "generate_negatives": false, |
| "negative_fraction": 0.5, |
| "hard_negative_fraction": 0.5, |
| "min_neighborhood_edges": 3, |
| "max_neighborhood_edges": 7, |
| "degree_cap": 5000, |
| "max_neighborhood_jaccard": 0.5, |
| "max_neighborhoods_per_node": 3, |
| "neighborhood_sampling_attempts": 64 |
| }, |
| "mcq": { |
| "class_path": "synth_kg_text.tasks.generators:MCQGenerator", |
| "max_variants_per_unit": 3, |
| "relation_strategy": "inverse_sqrt", |
| "relation_weights": {}, |
| "llm_rewrite": true, |
| "max_generation_attempts": 3, |
| "context_grounded_fraction": 0.0, |
| "generate_negatives": false, |
| "negative_fraction": 0.5, |
| "hard_negative_fraction": 0.5, |
| "min_neighborhood_edges": 3, |
| "max_neighborhood_edges": 7, |
| "degree_cap": 5000, |
| "max_neighborhood_jaccard": 0.5, |
| "max_neighborhoods_per_node": 3, |
| "neighborhood_sampling_attempts": 64 |
| }, |
| "support_classification": { |
| "class_path": "synth_kg_text.tasks.generators:SupportClassificationGenerator", |
| "max_variants_per_unit": 3, |
| "relation_strategy": "inverse_sqrt", |
| "relation_weights": {}, |
| "llm_rewrite": true, |
| "max_generation_attempts": 3, |
| "context_grounded_fraction": 0.0, |
| "generate_negatives": false, |
| "negative_fraction": 0.5, |
| "hard_negative_fraction": 0.5, |
| "min_neighborhood_edges": 3, |
| "max_neighborhood_edges": 7, |
| "degree_cap": 5000, |
| "max_neighborhood_jaccard": 0.5, |
| "max_neighborhoods_per_node": 3, |
| "neighborhood_sampling_attempts": 64 |
| }, |
| "relation_classification": { |
| "class_path": "synth_kg_text.tasks.generators:RelationClassificationGenerator", |
| "max_variants_per_unit": 3, |
| "relation_strategy": "inverse_sqrt", |
| "relation_weights": {}, |
| "llm_rewrite": true, |
| "max_generation_attempts": 3, |
| "context_grounded_fraction": 0.0, |
| "generate_negatives": false, |
| "negative_fraction": 0.5, |
| "hard_negative_fraction": 0.5, |
| "min_neighborhood_edges": 3, |
| "max_neighborhood_edges": 7, |
| "degree_cap": 5000, |
| "max_neighborhood_jaccard": 0.5, |
| "max_neighborhoods_per_node": 3, |
| "neighborhood_sampling_attempts": 64 |
| }, |
| "multihop_qa": { |
| "class_path": "synth_kg_text.tasks.generators:MultiHopQAGenerator", |
| "max_variants_per_unit": 3, |
| "relation_strategy": "inverse_sqrt", |
| "relation_weights": {}, |
| "llm_rewrite": true, |
| "max_generation_attempts": 3, |
| "context_grounded_fraction": 0.5, |
| "generate_negatives": false, |
| "negative_fraction": 0.5, |
| "hard_negative_fraction": 0.5, |
| "min_neighborhood_edges": 3, |
| "max_neighborhood_edges": 7, |
| "degree_cap": 5000, |
| "max_neighborhood_jaccard": 0.5, |
| "max_neighborhoods_per_node": 3, |
| "neighborhood_sampling_attempts": 64 |
| }, |
| "graph_to_text": { |
| "class_path": "synth_kg_text.tasks.generators:GraphToTextGenerator", |
| "max_variants_per_unit": 3, |
| "relation_strategy": "inverse_sqrt", |
| "relation_weights": {}, |
| "llm_rewrite": true, |
| "max_generation_attempts": 3, |
| "context_grounded_fraction": 0.0, |
| "generate_negatives": false, |
| "negative_fraction": 0.5, |
| "hard_negative_fraction": 0.5, |
| "min_neighborhood_edges": 3, |
| "max_neighborhood_edges": 7, |
| "degree_cap": 5000, |
| "max_neighborhood_jaccard": 0.5, |
| "max_neighborhoods_per_node": 3, |
| "neighborhood_sampling_attempts": 64 |
| }, |
| "text_to_graph": { |
| "class_path": "synth_kg_text.tasks.generators:TextToGraphGenerator", |
| "max_variants_per_unit": 3, |
| "relation_strategy": "inverse_sqrt", |
| "relation_weights": {}, |
| "llm_rewrite": true, |
| "max_generation_attempts": 3, |
| "context_grounded_fraction": 0.0, |
| "generate_negatives": false, |
| "negative_fraction": 0.5, |
| "hard_negative_fraction": 0.5, |
| "min_neighborhood_edges": 3, |
| "max_neighborhood_edges": 7, |
| "degree_cap": 5000, |
| "max_neighborhood_jaccard": 0.5, |
| "max_neighborhoods_per_node": 3, |
| "neighborhood_sampling_attempts": 64 |
| } |
| }, |
| "llm": { |
| "backend": "openai_compatible", |
| "base_url": "http://127.0.0.1:30000/v1", |
| "model": "Qwen/Qwen3.6-35B-A3B", |
| "api_key_env": null, |
| "temperature": 0.7, |
| "max_tokens": 2048, |
| "concurrency": 24 |
| }, |
| "prompts": { |
| "fixed_templates_path": "/work/evaluation/synth-kg-text/src/synth_kg_text/prompt_templates/fixed.yaml", |
| "llm_templates_path": "/work/evaluation/synth-kg-text/src/synth_kg_text/prompt_templates/llm-natural.yaml", |
| "llm_transform": null, |
| "natural_forbidden_terms": [ |
| "Hetionet", |
| "knowledge graph", |
| "knowledge-graph", |
| "KG", |
| "KGs", |
| "entity", |
| "entities", |
| "relation", |
| "relations", |
| "relation ID", |
| "canonical relation", |
| "node ID", |
| "node IDs", |
| "edge ID", |
| "edge IDs", |
| "source triple", |
| "metapath", |
| "forward", |
| "inverse", |
| "recorded" |
| ] |
| } |
| } |
