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refactor(data_pipeline): optimize data generation pipeline; add multiple preset configurations for data generation
This commit is contained in:
chenyongkang
parent
1a8477c8d8
commit
8d493b35a0
2160 changed files with 69199 additions and 154 deletions
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[
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{
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"difficulty": "medium",
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"difficulty": "medium",
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"difficulty": "hard",
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"timeout": 30,
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"language": "en"
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}
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[
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{
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"difficulty": "easy",
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"timeout": 30,
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"language": "zh"
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},
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{
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"difficulty": "medium",
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"timeout": 30,
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"language": "zh"
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{
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"difficulty": "hard",
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"timeout": 30,
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"language": "zh"
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},
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{
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"difficulty": "easy",
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"timeout": 30,
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"language": "en"
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},
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{
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"difficulty": "medium",
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"timeout": 30,
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"language": "en"
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},
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{
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"difficulty": "hard",
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"timeout": 30,
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"language": "en"
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}
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]
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[
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{
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"seed": 3407,
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"max_num_items": 2,
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"augment_unit": true
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},
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{
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"seed": 3408,
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"max_num_items": 4,
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"augment_unit": false
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{
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"seed": 3409,
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"max_num_items": 8,
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"augment_unit": false
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},
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{
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"seed": 3410,
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"max_num_items": 16,
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"augment_unit": false
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},
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{
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"seed": 3411,
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"max_num_items": 20,
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"augment_unit": false
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},
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{
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"seed": 514,
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"max_num_items": 24,
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"augment_unit": false
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]
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[
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{
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"seed": 0,
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"max_num_items": 2,
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"augment_unit": true
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{
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"seed": 1,
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"max_num_items": 4,
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"augment_unit": true
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},
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{
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"seed": 2,
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"max_num_items": 8,
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"augment_unit": true
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},
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{
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"seed": 3,
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"max_num_items": 16,
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"augment_unit": true
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},
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{
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"seed": 4,
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"max_num_items": 20,
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"augment_unit": true
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},
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{
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"seed": 114,
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"max_num_items": 24,
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"augment_unit": true
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}
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]
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[
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{
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"target_cha_range": [
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3,
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6
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],
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"max_has_range": [
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2,
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3
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]
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},
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{
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"target_cha_range": [
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3,
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6
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],
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"max_has_range": [
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2,
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3
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]
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},
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{
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"target_cha_range": [
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3,
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6
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],
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"max_has_range": [
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2,
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3
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]
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}
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]
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[
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{
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"target_cha_range": [
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3,
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6
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],
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"max_has_range": [
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2,
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3
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]
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},
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{
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"target_cha_range": [
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3,
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6
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],
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"max_has_range": [
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2,
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3
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]
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},
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{
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"target_cha_range": [
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3,
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6
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],
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"max_has_range": [
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2,
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3
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]
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}
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]
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10
examples/pipelines/puzzle_configs/flange_plane_test.json
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10
examples/pipelines/puzzle_configs/flange_plane_test.json
Normal file
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[
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{
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"D_min": 40,
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"D_max": 400,
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"thickness_min": 5,
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"thickness_max": 45,
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"pressure_min": 1,
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"pressure_max": 100
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}
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]
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10
examples/pipelines/puzzle_configs/flange_plane_train.json
Normal file
10
examples/pipelines/puzzle_configs/flange_plane_train.json
Normal file
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[
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{
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"D_min": 40,
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"D_max": 400,
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"thickness_min": 5,
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"thickness_max": 45,
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"pressure_min": 1,
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"pressure_max": 100
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}
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]
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[
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{
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"intensional_ratio": 0.3,
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"extensional_ratio": 0.5,
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"lexical_ratio": 0.2
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},
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{
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"intensional_ratio": 0.45,
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"extensional_ratio": 0.35,
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"lexical_ratio": 0.2
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},
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{
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"intensional_ratio": 0.3,
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"extensional_ratio": 0.4,
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"lexical_ratio": 0.3
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},
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{
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"intensional_ratio": 0.5,
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"extensional_ratio": 0.3,
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"lexical_ratio": 0.2
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},
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{
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"intensional_ratio": 0.25,
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"extensional_ratio": 0.5,
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"lexical_ratio": 0.25
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},
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{
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"intensional_ratio": 0.35,
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"extensional_ratio": 0.35,
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"lexical_ratio": 0.3
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}
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]
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[
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{
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"intensional_ratio": 0.3,
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"extensional_ratio": 0.5,
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"lexical_ratio": 0.2
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},
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{
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"intensional_ratio": 0.45,
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"extensional_ratio": 0.35,
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"lexical_ratio": 0.2
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},
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{
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"intensional_ratio": 0.3,
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"extensional_ratio": 0.4,
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"lexical_ratio": 0.3
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},
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{
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"intensional_ratio": 0.5,
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"extensional_ratio": 0.3,
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"lexical_ratio": 0.2
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},
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{
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"intensional_ratio": 0.25,
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"extensional_ratio": 0.5,
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"lexical_ratio": 0.25
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},
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{
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"intensional_ratio": 0.35,
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"extensional_ratio": 0.35,
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"lexical_ratio": 0.3
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}
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]
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[
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{
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"apply_prob": 0.5,
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"methods": [
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"A",
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"B",
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"C"
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],
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"subjects": [
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"natural numbers",
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"products",
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"college students",
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"true revolutionaries",
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"formally correct reasoning"
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],
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"predicates": [
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"rational numbers",
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"top-grade",
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"patriots",
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"upright and open",
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"tested by practice"
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]
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},
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{
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"apply_prob": 0.5,
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"methods": [
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"A",
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"B"
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],
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"subjects": [
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"natural numbers",
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"products",
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"true revolutionaries"
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],
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"predicates": [
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"rational numbers",
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"top-grade",
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"upright and open"
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]
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},
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{
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"apply_prob": 0.7,
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"methods": [
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"A",
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"B",
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"C"
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],
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"subjects": [
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"natural numbers",
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"products",
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"college students",
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"true revolutionaries",
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"formally correct reasoning"
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],
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"predicates": [
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"rational numbers",
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"top-grade",
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"patriots",
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"upright and open",
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"tested by practice"
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]
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},
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{
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"apply_prob": 0.6,
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"methods": [
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"B",
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"C"
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],
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"subjects": [
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"college students",
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"true revolutionaries",
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"formally correct reasoning"
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],
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"predicates": [
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"patriots",
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"upright and open",
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"tested by practice"
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]
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}
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]
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[
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{
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"apply_prob": 0.5,
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"methods": [
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"A",
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"B",
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"C"
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],
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"subjects": [
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"natural numbers",
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"products",
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"college students",
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"true revolutionaries",
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"formally correct reasoning"
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],
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"predicates": [
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"rational numbers",
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"top-grade",
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"patriots",
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"upright and open",
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"tested by practice"
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]
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},
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{
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"apply_prob": 0.5,
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"methods": [
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"A",
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"B"
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],
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"subjects": [
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"natural numbers",
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"products",
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"true revolutionaries"
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],
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"predicates": [
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"rational numbers",
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"top-grade",
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"upright and open"
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]
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},
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{
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"apply_prob": 0.7,
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"methods": [
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"A",
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"B",
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"C"
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],
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"subjects": [
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"natural numbers",
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"products",
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"college students",
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"true revolutionaries",
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"formally correct reasoning"
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],
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"predicates": [
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"rational numbers",
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"top-grade",
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"patriots",
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"upright and open",
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"tested by practice"
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]
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},
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{
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"apply_prob": 0.6,
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"methods": [
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"B",
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"C"
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],
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"subjects": [
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"college students",
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"true revolutionaries",
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"formally correct reasoning"
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],
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"predicates": [
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"patriots",
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"upright and open",
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"tested by practice"
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]
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}
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]
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[
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{
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"max_variables": 3,
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"seed": 42,
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"problem_type": "classify",
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"difficulty_level": "easy"
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},
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{
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"max_variables": 2,
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"seed": 202,
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"problem_type": "classify",
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"difficulty_level": "easy"
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},
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{
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"max_variables": 3,
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"seed": 101,
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"problem_type": "denote",
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"difficulty_level": "medium"
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},
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{
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"max_variables": 4,
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"seed": 789,
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"problem_type": "classify",
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"difficulty_level": "hard"
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}
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]
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[
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{
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"max_variables": 3,
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"seed": 42,
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"problem_type": "classify",
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"difficulty_level": "easy"
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},
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{
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"max_variables": 2,
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"seed": 202,
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"problem_type": "classify",
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"difficulty_level": "easy"
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},
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{
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"max_variables": 3,
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"seed": 101,
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"problem_type": "denote",
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"difficulty_level": "medium"
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},
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{
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"max_variables": 4,
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"seed": 789,
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"problem_type": "classify",
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"difficulty_level": "hard"
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}
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]
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@ -1,26 +0,0 @@
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[
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{
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"max_attempts": 1,
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"seed": 2,
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"difficulty": "easy"
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},
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{
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"max_attempts": 4,
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"seed": 123,
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"difficulty": "hard"
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},
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{
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"max_attempts": 3,
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"seed": 0,
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"difficulty": "medium"
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},
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{
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"max_attempts": 1,
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"seed": 999
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},
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{
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"max_attempts": 5,
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"seed": 1,
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"difficulty": "hard"
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}
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]
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@ -1,26 +0,0 @@
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[
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{
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"max_attempts": 1,
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"seed": 2,
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"difficulty": "easy"
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},
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{
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"max_attempts": 4,
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"seed": 123,
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"difficulty": "hard"
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},
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{
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"max_attempts": 3,
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"seed": 0,
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"difficulty": "medium"
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},
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{
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"max_attempts": 1,
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"seed": 999
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},
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{
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"max_attempts": 5,
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"seed": 1,
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"difficulty": "hard"
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}
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]
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@ -1,54 +0,0 @@
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[
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{
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"question_types": [
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"expression_conversion",
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"equivalence_validation",
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"expression_simplification"
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],
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"variables": [
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"a",
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"b",
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"c"
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],
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"cities": [
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"Beijing",
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"Guangzhou",
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"Shenzhen"
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]
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},
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{
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"question_types": [
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"expression_conversion",
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"equivalence_validation",
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"puzzle_solution"
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],
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"variables": [
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"p",
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"q",
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"r"
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],
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"cities": [
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"Suzhou",
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"Shanghai",
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"Hangzhou"
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]
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},
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{
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||||
"question_types": [
|
||||
"expression_conversion",
|
||||
"truth_table_completion",
|
||||
"puzzle_solution"
|
||||
],
|
||||
"variables": [
|
||||
"p",
|
||||
"q",
|
||||
"r",
|
||||
"s"
|
||||
],
|
||||
"cities": [
|
||||
"Shanghai",
|
||||
"Beijing",
|
||||
"Guangzhou"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
|
@ -1,54 +0,0 @@
|
|||
[
|
||||
{
|
||||
"question_types": [
|
||||
"expression_conversion",
|
||||
"equivalence_validation",
|
||||
"expression_simplification"
|
||||
],
|
||||
"variables": [
|
||||
"a",
|
||||
"b",
|
||||
"c"
|
||||
],
|
||||
"cities": [
|
||||
"Beijing",
|
||||
"Guangzhou",
|
||||
"Shenzhen"
|
||||
]
|
||||
},
|
||||
{
|
||||
"question_types": [
|
||||
"expression_conversion",
|
||||
"equivalence_validation",
|
||||
"puzzle_solution"
|
||||
],
|
||||
"variables": [
|
||||
"p",
|
||||
"q",
|
||||
"r"
|
||||
],
|
||||
"cities": [
|
||||
"Suzhou",
|
||||
"Shanghai",
|
||||
"Hangzhou"
|
||||
]
|
||||
},
|
||||
{
|
||||
"question_types": [
|
||||
"expression_conversion",
|
||||
"truth_table_completion",
|
||||
"puzzle_solution"
|
||||
],
|
||||
"variables": [
|
||||
"p",
|
||||
"q",
|
||||
"r",
|
||||
"s"
|
||||
],
|
||||
"cities": [
|
||||
"Shanghai",
|
||||
"Beijing",
|
||||
"Guangzhou"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
|
@ -1,20 +0,0 @@
|
|||
[
|
||||
{
|
||||
"enable_fill": true,
|
||||
"seed": 42,
|
||||
"difficulty": "easy",
|
||||
"max_cases": 10
|
||||
},
|
||||
{
|
||||
"enable_fill": false,
|
||||
"seed": 888,
|
||||
"difficulty": "easy",
|
||||
"max_cases": 20
|
||||
},
|
||||
{
|
||||
"enable_fill": true,
|
||||
"seed": 777,
|
||||
"difficulty": "hard",
|
||||
"max_cases": 15
|
||||
}
|
||||
]
|
||||
|
|
@ -1,20 +0,0 @@
|
|||
[
|
||||
{
|
||||
"enable_fill": true,
|
||||
"seed": 42,
|
||||
"difficulty": "easy",
|
||||
"max_cases": 10
|
||||
},
|
||||
{
|
||||
"enable_fill": false,
|
||||
"seed": 888,
|
||||
"difficulty": "easy",
|
||||
"max_cases": 20
|
||||
},
|
||||
{
|
||||
"enable_fill": true,
|
||||
"seed": 777,
|
||||
"difficulty": "hard",
|
||||
"max_cases": 15
|
||||
}
|
||||
]
|
||||
|
|
@ -1,40 +0,0 @@
|
|||
[
|
||||
{
|
||||
"fallacy_groups": [
|
||||
"advanced"
|
||||
],
|
||||
"max_complexity": 5,
|
||||
"template_variations": 5,
|
||||
"include_analysis": true,
|
||||
"shuffle_options": true
|
||||
},
|
||||
{
|
||||
"fallacy_groups": [
|
||||
"intermediate"
|
||||
],
|
||||
"max_complexity": 2,
|
||||
"template_variations": 3,
|
||||
"include_analysis": false,
|
||||
"shuffle_options": false
|
||||
},
|
||||
{
|
||||
"fallacy_groups": [
|
||||
"basic"
|
||||
],
|
||||
"max_complexity": 1,
|
||||
"template_variations": 1,
|
||||
"include_analysis": false,
|
||||
"shuffle_options": true
|
||||
},
|
||||
{
|
||||
"fallacy_groups": [
|
||||
"basic",
|
||||
"intermediate",
|
||||
"advanced"
|
||||
],
|
||||
"max_complexity": 3,
|
||||
"template_variations": 2,
|
||||
"include_analysis": true,
|
||||
"shuffle_options": false
|
||||
}
|
||||
]
|
||||
|
|
@ -1,40 +0,0 @@
|
|||
[
|
||||
{
|
||||
"fallacy_groups": [
|
||||
"advanced"
|
||||
],
|
||||
"max_complexity": 5,
|
||||
"template_variations": 5,
|
||||
"include_analysis": true,
|
||||
"shuffle_options": true
|
||||
},
|
||||
{
|
||||
"fallacy_groups": [
|
||||
"intermediate"
|
||||
],
|
||||
"max_complexity": 2,
|
||||
"template_variations": 3,
|
||||
"include_analysis": false,
|
||||
"shuffle_options": false
|
||||
},
|
||||
{
|
||||
"fallacy_groups": [
|
||||
"basic"
|
||||
],
|
||||
"max_complexity": 1,
|
||||
"template_variations": 1,
|
||||
"include_analysis": false,
|
||||
"shuffle_options": true
|
||||
},
|
||||
{
|
||||
"fallacy_groups": [
|
||||
"basic",
|
||||
"intermediate",
|
||||
"advanced"
|
||||
],
|
||||
"max_complexity": 3,
|
||||
"template_variations": 2,
|
||||
"include_analysis": true,
|
||||
"shuffle_options": false
|
||||
}
|
||||
]
|
||||
13
examples/pipelines/puzzle_configs/korLogicLogicalMethodsForExploringCauseAndEffectRelationships_test.json
Executable file → Normal file
13
examples/pipelines/puzzle_configs/korLogicLogicalMethodsForExploringCauseAndEffectRelationships_test.json
Executable file → Normal file
|
|
@ -1,14 +1,3 @@
|
|||
[
|
||||
{
|
||||
"random_seed": 789
|
||||
},
|
||||
{
|
||||
"random_seed": 0
|
||||
},
|
||||
{
|
||||
"random_seed": 456
|
||||
},
|
||||
{
|
||||
"random_seed": 123
|
||||
}
|
||||
|
||||
]
|
||||
13
examples/pipelines/puzzle_configs/korLogicLogicalMethodsForExploringCauseAndEffectRelationships_train.json
Executable file → Normal file
13
examples/pipelines/puzzle_configs/korLogicLogicalMethodsForExploringCauseAndEffectRelationships_train.json
Executable file → Normal file
|
|
@ -1,14 +1,3 @@
|
|||
[
|
||||
{
|
||||
"random_seed": 789
|
||||
},
|
||||
{
|
||||
"random_seed": 0
|
||||
},
|
||||
{
|
||||
"random_seed": 456
|
||||
},
|
||||
{
|
||||
"random_seed": 123
|
||||
}
|
||||
|
||||
]
|
||||
|
|
@ -1,74 +0,0 @@
|
|||
[
|
||||
{
|
||||
"s_list": [
|
||||
"metals",
|
||||
"products",
|
||||
"students",
|
||||
"mammals",
|
||||
"pencils",
|
||||
"stars",
|
||||
"individual businesses"
|
||||
],
|
||||
"p_list": [
|
||||
"conductive",
|
||||
"qualified",
|
||||
"like mathematics",
|
||||
"warm-blooded animals",
|
||||
"pens",
|
||||
"planets",
|
||||
"paid taxes"
|
||||
],
|
||||
"problem_types": [
|
||||
"components",
|
||||
"proposition_type",
|
||||
"relationship_exists",
|
||||
"relationship_type",
|
||||
"truth_value"
|
||||
]
|
||||
},
|
||||
{
|
||||
"s_list": [
|
||||
"students",
|
||||
"animals",
|
||||
"fruits",
|
||||
"countries",
|
||||
"books",
|
||||
"cities"
|
||||
],
|
||||
"p_list": [
|
||||
"happy",
|
||||
"furry",
|
||||
"sweet",
|
||||
"large",
|
||||
"interesting",
|
||||
"populated"
|
||||
],
|
||||
"problem_types": [
|
||||
"components",
|
||||
"proposition_type",
|
||||
"relationship_exists",
|
||||
"truth_value"
|
||||
]
|
||||
},
|
||||
{
|
||||
"s_list": [
|
||||
"plants",
|
||||
"rocks",
|
||||
"mountains",
|
||||
"oceans",
|
||||
"stars"
|
||||
],
|
||||
"p_list": [
|
||||
"green",
|
||||
"hard",
|
||||
"tall",
|
||||
"deep",
|
||||
"bright"
|
||||
],
|
||||
"problem_types": [
|
||||
"proposition_type",
|
||||
"relationship_exists",
|
||||
"truth_value"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
|
@ -1,74 +0,0 @@
|
|||
[
|
||||
{
|
||||
"s_list": [
|
||||
"metals",
|
||||
"products",
|
||||
"students",
|
||||
"mammals",
|
||||
"pencils",
|
||||
"stars",
|
||||
"individual businesses"
|
||||
],
|
||||
"p_list": [
|
||||
"conductive",
|
||||
"qualified",
|
||||
"like mathematics",
|
||||
"warm-blooded animals",
|
||||
"pens",
|
||||
"planets",
|
||||
"paid taxes"
|
||||
],
|
||||
"problem_types": [
|
||||
"components",
|
||||
"proposition_type",
|
||||
"relationship_exists",
|
||||
"relationship_type",
|
||||
"truth_value"
|
||||
]
|
||||
},
|
||||
{
|
||||
"s_list": [
|
||||
"students",
|
||||
"animals",
|
||||
"fruits",
|
||||
"countries",
|
||||
"books",
|
||||
"cities"
|
||||
],
|
||||
"p_list": [
|
||||
"happy",
|
||||
"furry",
|
||||
"sweet",
|
||||
"large",
|
||||
"interesting",
|
||||
"populated"
|
||||
],
|
||||
"problem_types": [
|
||||
"components",
|
||||
"proposition_type",
|
||||
"relationship_exists",
|
||||
"truth_value"
|
||||
]
|
||||
},
|
||||
{
|
||||
"s_list": [
|
||||
"plants",
|
||||
"rocks",
|
||||
"mountains",
|
||||
"oceans",
|
||||
"stars"
|
||||
],
|
||||
"p_list": [
|
||||
"green",
|
||||
"hard",
|
||||
"tall",
|
||||
"deep",
|
||||
"bright"
|
||||
],
|
||||
"problem_types": [
|
||||
"proposition_type",
|
||||
"relationship_exists",
|
||||
"truth_value"
|
||||
]
|
||||
}
|
||||
]
|
||||
8
examples/pipelines/puzzle_configs/korLogicResolution_test.json
Executable file → Normal file
8
examples/pipelines/puzzle_configs/korLogicResolution_test.json
Executable file → Normal file
|
|
@ -9,7 +9,8 @@
|
|||
],
|
||||
"max_clause_length": 4,
|
||||
"problem_types": [
|
||||
"algorithm_output"
|
||||
"can_resolve",
|
||||
"compute_dispel"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -33,8 +34,7 @@
|
|||
"max_clause_length": 3,
|
||||
"problem_types": [
|
||||
"can_resolve",
|
||||
"algorithm_output"
|
||||
],
|
||||
"seed": 42
|
||||
"compute_dispel"
|
||||
]
|
||||
}
|
||||
]
|
||||
8
examples/pipelines/puzzle_configs/korLogicResolution_train.json
Executable file → Normal file
8
examples/pipelines/puzzle_configs/korLogicResolution_train.json
Executable file → Normal file
|
|
@ -9,7 +9,8 @@
|
|||
],
|
||||
"max_clause_length": 4,
|
||||
"problem_types": [
|
||||
"algorithm_output"
|
||||
"can_resolve",
|
||||
"compute_dispel"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
@ -33,8 +34,7 @@
|
|||
"max_clause_length": 3,
|
||||
"problem_types": [
|
||||
"can_resolve",
|
||||
"algorithm_output"
|
||||
],
|
||||
"seed": 42
|
||||
"compute_dispel"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
|
@ -1,26 +0,0 @@
|
|||
[
|
||||
{
|
||||
"problem_type_ratio": 0.3
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 1.0
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.8
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.7
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.0
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.9
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.1
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.4
|
||||
}
|
||||
]
|
||||
|
|
@ -1,26 +0,0 @@
|
|||
[
|
||||
{
|
||||
"problem_type_ratio": 0.3
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 1.0
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.8
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.7
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.0
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.9
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.1
|
||||
},
|
||||
{
|
||||
"problem_type_ratio": 0.4
|
||||
}
|
||||
]
|
||||
|
|
@ -1,41 +0,0 @@
|
|||
[
|
||||
{
|
||||
"min_n": 8,
|
||||
"max_n": 30,
|
||||
"attribute_descriptions": [
|
||||
"top scorer",
|
||||
"perfect health",
|
||||
"satisfied customer",
|
||||
"damaged goods",
|
||||
"active lifestyle",
|
||||
"excessive noise",
|
||||
"full recovery"
|
||||
]
|
||||
},
|
||||
{
|
||||
"min_n": 3,
|
||||
"max_n": 20,
|
||||
"attribute_descriptions": [
|
||||
"excellent performance",
|
||||
"no diseases",
|
||||
"content with product",
|
||||
"faulty goods",
|
||||
"consistent work",
|
||||
"high pollution",
|
||||
"successful surgery"
|
||||
]
|
||||
},
|
||||
{
|
||||
"min_n": 5,
|
||||
"max_n": 50,
|
||||
"attribute_descriptions": [
|
||||
"math score above 90",
|
||||
"healthy",
|
||||
"satisfied with facilities",
|
||||
"defective",
|
||||
"daily exercise",
|
||||
"speeding behavior",
|
||||
"positive response"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
|
@ -1,41 +0,0 @@
|
|||
[
|
||||
{
|
||||
"min_n": 8,
|
||||
"max_n": 30,
|
||||
"attribute_descriptions": [
|
||||
"top scorer",
|
||||
"perfect health",
|
||||
"satisfied customer",
|
||||
"damaged goods",
|
||||
"active lifestyle",
|
||||
"excessive noise",
|
||||
"full recovery"
|
||||
]
|
||||
},
|
||||
{
|
||||
"min_n": 3,
|
||||
"max_n": 20,
|
||||
"attribute_descriptions": [
|
||||
"excellent performance",
|
||||
"no diseases",
|
||||
"content with product",
|
||||
"faulty goods",
|
||||
"consistent work",
|
||||
"high pollution",
|
||||
"successful surgery"
|
||||
]
|
||||
},
|
||||
{
|
||||
"min_n": 5,
|
||||
"max_n": 50,
|
||||
"attribute_descriptions": [
|
||||
"math score above 90",
|
||||
"healthy",
|
||||
"satisfied with facilities",
|
||||
"defective",
|
||||
"daily exercise",
|
||||
"speeding behavior",
|
||||
"positive response"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
|
@ -1,70 +0,0 @@
|
|||
[
|
||||
{
|
||||
"symbolize_prob": 0.35,
|
||||
"relationship_prob": 0.35,
|
||||
"formula_inference_prob": 0.3,
|
||||
"action_words": [
|
||||
"study computer science",
|
||||
"write novels",
|
||||
"play piano",
|
||||
"keep on painting"
|
||||
],
|
||||
"subjects": [
|
||||
"Xiao Jin",
|
||||
"Xiao Qian",
|
||||
"Wang Qiang",
|
||||
"Lin Min"
|
||||
]
|
||||
},
|
||||
{
|
||||
"symbolize_prob": 0.4,
|
||||
"relationship_prob": 0.4,
|
||||
"formula_inference_prob": 0.2,
|
||||
"action_words": [
|
||||
"work in Beijing",
|
||||
"study abroad",
|
||||
"settle permanently",
|
||||
"win the championship"
|
||||
],
|
||||
"subjects": [
|
||||
"Wang Qiang",
|
||||
"Xiao Lin",
|
||||
"Dr Lee",
|
||||
"Old Zhao"
|
||||
]
|
||||
},
|
||||
{
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|
||||
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|
||||
],
|
||||
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|
||||
"Old Zhao",
|
||||
"Dr Lee",
|
||||
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||||
"I"
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||||
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|
||||
},
|
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{
|
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|
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|
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||||
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|
||||
],
|
||||
"subjects": [
|
||||
"Mr Chen",
|
||||
"Dr Lee",
|
||||
"Xiao Lin",
|
||||
"Old Zhao"
|
||||
]
|
||||
}
|
||||
]
|
||||
|
|
@ -1,70 +0,0 @@
|
|||
[
|
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{
|
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|
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|
||||
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|
||||
"Xiao Jin",
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"Xiao Qian",
|
||||
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|
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|
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},
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{
|
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|
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],
|
||||
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|
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|
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|
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},
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{
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|
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],
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"Old Zhao",
|
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"Dr Lee",
|
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"Xiao Bai",
|
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"I"
|
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]
|
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},
|
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{
|
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|
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|
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|
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|
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|
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"subjects": [
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"Mr Chen",
|
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"Dr Lee",
|
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"Xiao Lin",
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"Old Zhao"
|
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]
|
||||
}
|
||||
]
|
||||
|
|
@ -1,89 +0,0 @@
|
|||
[
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{
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"the movie is exciting",
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{
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|
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"ice melts at 0 degrees Celsius",
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"plants need sunlight to grow",
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]
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|
|
@ -1,89 +0,0 @@
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[
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{
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"the moon shines at night",
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"the earth orbits the sun",
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"water boils at 100 degrees Celsius",
|
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"ice melts at 0 degrees Celsius",
|
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"plants need sunlight to grow",
|
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"birds can fly",
|
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"fish live in water",
|
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"dogs are mammals",
|
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"cats are carnivores"
|
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],
|
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"q": [
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|
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"the grass is green",
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"the tree is tall",
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"the flower is red",
|
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"the mountain is high"
|
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]
|
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}
|
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}
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]
|
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|
|
@ -1,44 +1,17 @@
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[
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|
|
@ -1,44 +1,17 @@
|
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[
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{
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},
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},
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{
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|
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"min_val": -50,
|
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}
|
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]
|
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|
|
@ -1,62 +0,0 @@
|
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[
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{
|
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},
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{
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"p",
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}
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]
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|
|
@ -1,62 +0,0 @@
|
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[
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{
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},
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{
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|
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},
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{
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"p",
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"r",
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"t"
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"seed": 789
|
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}
|
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]
|
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|
|
@ -1,8 +0,0 @@
|
|||
[
|
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{
|
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"grid_size": 4
|
||||
},
|
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{
|
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"grid_size": 5
|
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}
|
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]
|
||||
|
|
@ -1,8 +0,0 @@
|
|||
[
|
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{
|
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"grid_size": 4
|
||||
},
|
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{
|
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"grid_size": 5
|
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}
|
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]
|
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|
|
@ -1,97 +0,0 @@
|
|||
[
|
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{
|
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|
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|
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1700,
|
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1720,
|
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1740,
|
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1760,
|
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1780
|
||||
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|
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"Molen B",
|
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|
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|
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],
|
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"Family 1",
|
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"Family 2",
|
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"Family 3",
|
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"Family 4",
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"Family 5"
|
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]
|
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}
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},
|
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{
|
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|
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1683,
|
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1706,
|
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1729,
|
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1752
|
||||
],
|
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|
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"Vlietmolen",
|
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"Westmolen",
|
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"Zemelmolen",
|
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"Other"
|
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],
|
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"families": [
|
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"Van Dijk",
|
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"Visser",
|
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"De Jong",
|
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"Other Family"
|
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]
|
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}
|
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},
|
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{
|
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|
||||
"years": [
|
||||
1800,
|
||||
1825,
|
||||
1850,
|
||||
1875,
|
||||
1900
|
||||
],
|
||||
"attributes": {
|
||||
"windmills": [
|
||||
"A",
|
||||
"B",
|
||||
"C",
|
||||
"D",
|
||||
"E"
|
||||
],
|
||||
"families": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5"
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"num_entries": 3,
|
||||
"years": [
|
||||
1600,
|
||||
1650,
|
||||
1700
|
||||
],
|
||||
"attributes": {
|
||||
"windmills": [
|
||||
"Old Molen",
|
||||
"Middle Molen",
|
||||
"New Molen"
|
||||
],
|
||||
"families": [
|
||||
"Ancient Family",
|
||||
"Middle Family",
|
||||
"Modern Family"
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
|
|
@ -1,97 +0,0 @@
|
|||
[
|
||||
{
|
||||
"num_entries": 5,
|
||||
"years": [
|
||||
1700,
|
||||
1720,
|
||||
1740,
|
||||
1760,
|
||||
1780
|
||||
],
|
||||
"attributes": {
|
||||
"windmills": [
|
||||
"Molen A",
|
||||
"Molen B",
|
||||
"Molen C",
|
||||
"Molen D",
|
||||
"Molen E"
|
||||
],
|
||||
"families": [
|
||||
"Family 1",
|
||||
"Family 2",
|
||||
"Family 3",
|
||||
"Family 4",
|
||||
"Family 5"
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"num_entries": 4,
|
||||
"years": [
|
||||
1683,
|
||||
1706,
|
||||
1729,
|
||||
1752
|
||||
],
|
||||
"attributes": {
|
||||
"windmills": [
|
||||
"Vlietmolen",
|
||||
"Westmolen",
|
||||
"Zemelmolen",
|
||||
"Other"
|
||||
],
|
||||
"families": [
|
||||
"Van Dijk",
|
||||
"Visser",
|
||||
"De Jong",
|
||||
"Other Family"
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"num_entries": 5,
|
||||
"years": [
|
||||
1800,
|
||||
1825,
|
||||
1850,
|
||||
1875,
|
||||
1900
|
||||
],
|
||||
"attributes": {
|
||||
"windmills": [
|
||||
"A",
|
||||
"B",
|
||||
"C",
|
||||
"D",
|
||||
"E"
|
||||
],
|
||||
"families": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5"
|
||||
]
|
||||
}
|
||||
},
|
||||
{
|
||||
"num_entries": 3,
|
||||
"years": [
|
||||
1600,
|
||||
1650,
|
||||
1700
|
||||
],
|
||||
"attributes": {
|
||||
"windmills": [
|
||||
"Old Molen",
|
||||
"Middle Molen",
|
||||
"New Molen"
|
||||
],
|
||||
"families": [
|
||||
"Ancient Family",
|
||||
"Middle Family",
|
||||
"Modern Family"
|
||||
]
|
||||
}
|
||||
}
|
||||
]
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
[
|
||||
{
|
||||
"word_length": 6
|
||||
},
|
||||
{
|
||||
"word_length": 4
|
||||
},
|
||||
{
|
||||
"word_length": 5
|
||||
}
|
||||
]
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
[
|
||||
{
|
||||
"word_length": 6
|
||||
},
|
||||
{
|
||||
"word_length": 4
|
||||
},
|
||||
{
|
||||
"word_length": 5
|
||||
}
|
||||
]
|
||||
|
|
@ -1,3 +0,0 @@
|
|||
[
|
||||
{"conf_file":"./internbootcamp/libs/med_calculator/med_calculator.json"}
|
||||
]
|
||||
|
|
@ -1,3 +0,0 @@
|
|||
[
|
||||
{"conf_file":"./internbootcamp/libs/med_calculator/med_calculator.json"}
|
||||
]
|
||||
|
|
@ -41,27 +41,6 @@
|
|||
],
|
||||
"difficulty": "hard"
|
||||
},
|
||||
{
|
||||
"size": [
|
||||
10,
|
||||
10
|
||||
],
|
||||
"difficulty": "easy"
|
||||
},
|
||||
{
|
||||
"size": [
|
||||
10,
|
||||
10
|
||||
],
|
||||
"difficulty": "medium"
|
||||
},
|
||||
{
|
||||
"size": [
|
||||
10,
|
||||
10
|
||||
],
|
||||
"difficulty": "hard"
|
||||
},
|
||||
{
|
||||
"size": [
|
||||
3,
|
||||
|
|
|
|||
|
|
@ -23,18 +23,6 @@
|
|||
"size": [7, 7],
|
||||
"difficulty": "hard"
|
||||
},
|
||||
{
|
||||
"size": [10, 10],
|
||||
"difficulty": "easy"
|
||||
},
|
||||
{
|
||||
"size": [10, 10],
|
||||
"difficulty": "medium"
|
||||
},
|
||||
{
|
||||
"size": [10, 10],
|
||||
"difficulty": "hard"
|
||||
},
|
||||
{
|
||||
"size": [3, 3],
|
||||
"difficulty": "easy"
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue