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update README and data
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Yichi Zhang 2023-12-26 20:39:12 +08:00 committed by GitHub
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.DS_Store

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README.md
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@ -19,7 +19,10 @@ Some core python library config:
- Python 3.9.16
- torch 2.0.0
- transformers 4.28.0
- peft 0.3.0
## 🌲 Data Preparation
Due to the size of the data, you need to download and unzip the data file data.zip from [this link](https://drive.google.com/file/d/1J1Ioi23jTMaBkBDYzfIy2MAZYMUIjFWW/view?usp=drive_link) and put them in the data/.
## 📕 Training & Test
- Note: The current dataset is just a little demonstration to help you run the full pipeline. We will release the full datasets in the future.
@ -28,9 +31,10 @@ Some core python library config:
```shell
export WANDB_DISABLED=true
wandb offline
# For CoDeX-S dataset
CUDA_VISIBLE_DEVICES=0 nohup python finetune_kopa.py \
--base_model 'YOUR LLM PATH' \
--data_path 'data/UMLS-train.json' \
--data_path 'data/CoDeX-S-train.json' \
--output_dir 'YOUR SAVE PATH' \
--num_epochs 3 \
--lora_r 64 \
@ -38,10 +42,27 @@ CUDA_VISIBLE_DEVICES=0 nohup python finetune_kopa.py \
--batch_size 12 \
--micro_batch_size 12 \
--num_prefix 1 \
--kge_model 'data/UMLS-rotate.pth' \
--kge_model 'data/CoDeX-S-rotate.pth' \
--lora_target_modules='[q_proj,k_proj,v_proj,o_proj]' > log.txt &
# For CoDeX-S dataset
export WANDB_DISABLED=true
wandb offline
CUDA_VISIBLE_DEVICES=0 nohup python finetune_kopa.py \
--base_model 'YOUR LLM PATH' \
--data_path 'data/CoDeX-S-train.json' \
--output_dir 'YOUR SAVE PATH' \
--num_epochs 3 \
--lora_r 64 \
--learning_rate 3e-4 \
--batch_size 12 \
--micro_batch_size 12 \
--num_prefix 1 \
--kge_model 'data/CoDeX-S-rotate.pth' \
--lora_target_modules='[q_proj,k_proj,v_proj,o_proj]' > log.txt &
```
You may need to fill the LLM path and save path before running.
You may need to fill the LLM path and save path before running. The hyper-parameters can be tuned by yourself.
- run inference
```shell

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kg/UMLS/1-1.txt
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3
75 5 25
75 113 25
10 57 25

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kg/UMLS/entity2id.txt
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135
idea_or_concept 0
virus 1
spatial_concept 2
human_caused_phenomenon_or_process 3
human 4
organ_or_tissue_function 5
daily_or_recreational_activity 6
steroid 7
biomedical_or_dental_material 8
vertebrate 9
immunologic_factor 10
inorganic_chemical 11
invertebrate 12
embryonic_structure 13
functional_concept 14
amino_acid_peptide_or_protein 15
fish 16
reptile 17
physical_object 18
disease_or_syndrome 19
biologically_active_substance 20
physiologic_function 21
population_group 22
group 23
body_space_or_junction 24
bird 25
qualitative_concept 26
bacterium 27
cell_function 28
enzyme 29
organophosphorus_compound 30
nucleic_acid_nucleoside_or_nucleotide 31
cell 32
language 33
antibiotic 34
indicator_reagent_or_diagnostic_aid 35
fungus 36
chemical_viewed_functionally 37
rickettsia_or_chlamydia 38
patient_or_disabled_group 39
professional_society 40
health_care_related_organization 41
clinical_attribute 42
biomedical_occupation_or_discipline 43
temporal_concept 44
phenomenon_or_process 45
family_group 46
chemical_viewed_structurally 47
regulation_or_law 48
acquired_abnormality 49
experimental_model_of_disease 50
professional_or_occupational_group 51
injury_or_poisoning 52
receptor 53
drug_delivery_device 54
hazardous_or_poisonous_substance 55
organism 56
neoplastic_process 57
mammal 58
molecular_function 59
lipid 60
group_attribute 61
nucleotide_sequence 62
biologic_function 63
chemical 64
cell_component 65
intellectual_product 66
manufactured_object 67
classification 68
geographic_area 69
vitamin 70
gene_or_genome 71
self_help_or_relief_organization 72
pathologic_function 73
amphibian 74
laboratory_or_test_result 75
organism_attribute 76
cell_or_molecular_dysfunction 77
therapeutic_or_preventive_procedure 78
sign_or_symptom 79
occupational_activity 80
anatomical_abnormality 81
hormone 82
fully_formed_anatomical_structure 83
educational_activity 84
quantitative_concept 85
tissue 86
organism_function 87
social_behavior 88
mental_or_behavioral_dysfunction 89
governmental_or_regulatory_activity 90
molecular_biology_research_technique 91
occupation_or_discipline 92
conceptual_entity 93
body_location_or_region 94
pharmacologic_substance 95
clinical_drug 96
food 97
substance 98
genetic_function 99
congenital_abnormality 100
medical_device 101
carbohydrate 102
health_care_activity 103
eicosanoid 104
element_ion_or_isotope 105
diagnostic_procedure 106
entity 107
event 108
laboratory_procedure 109
environmental_effect_of_humans 110
body_part_organ_or_organ_component 111
molecular_sequence 112
mental_process 113
research_device 114
alga 115
natural_phenomenon_or_process 116
anatomical_structure 117
animal 118
body_system 119
behavior 120
carbohydrate_sequence 121
archaeon 122
research_activity 123
organization 124
individual_behavior 125
organic_chemical 126
finding 127
age_group 128
activity 129
machine_activity 130
plant 131
body_substance 132
amino_acid_sequence 133
neuroreactive_substance_or_biogenic_amine 134

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30 96 22
47 96 22
65 119 10
82 96 22
55 96 22

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kg/UMLS/n-n.py
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lef = {}
rig = {}
rellef = {}
relrig = {}
triple = open("train2id.txt", "r")
valid = open("valid2id.txt", "r")
test = open("test2id.txt", "r")
tot = (int)(triple.readline())
for i in range(tot):
content = triple.readline()
h,t,r = content.strip().split()
if not (h,r) in lef:
lef[(h,r)] = []
if not (r,t) in rig:
rig[(r,t)] = []
lef[(h,r)].append(t)
rig[(r,t)].append(h)
if not r in rellef:
rellef[r] = {}
if not r in relrig:
relrig[r] = {}
rellef[r][h] = 1
relrig[r][t] = 1
tot = (int)(valid.readline())
for i in range(tot):
content = valid.readline()
h,t,r = content.strip().split()
if not (h,r) in lef:
lef[(h,r)] = []
if not (r,t) in rig:
rig[(r,t)] = []
lef[(h,r)].append(t)
rig[(r,t)].append(h)
if not r in rellef:
rellef[r] = {}
if not r in relrig:
relrig[r] = {}
rellef[r][h] = 1
relrig[r][t] = 1
tot = (int)(test.readline())
for i in range(tot):
content = test.readline()
h,t,r = content.strip().split()
if not (h,r) in lef:
lef[(h,r)] = []
if not (r,t) in rig:
rig[(r,t)] = []
lef[(h,r)].append(t)
rig[(r,t)].append(h)
if not r in rellef:
rellef[r] = {}
if not r in relrig:
relrig[r] = {}
rellef[r][h] = 1
relrig[r][t] = 1
test.close()
valid.close()
triple.close()
f = open("type_constrain.txt", "w")
f.write("%d\n"%(len(rellef)))
for i in rellef:
f.write("%s\t%d"%(i,len(rellef[i])))
for j in rellef[i]:
f.write("\t%s"%(j))
f.write("\n")
f.write("%s\t%d"%(i,len(relrig[i])))
for j in relrig[i]:
f.write("\t%s"%(j))
f.write("\n")
f.close()
rellef = {}
totlef = {}
relrig = {}
totrig = {}
# lef: (h, r)
# rig: (r, t)
for i in lef:
if not i[1] in rellef:
rellef[i[1]] = 0
totlef[i[1]] = 0
rellef[i[1]] += len(lef[i])
totlef[i[1]] += 1.0
for i in rig:
if not i[0] in relrig:
relrig[i[0]] = 0
totrig[i[0]] = 0
relrig[i[0]] += len(rig[i])
totrig[i[0]] += 1.0
s11=0
s1n=0
sn1=0
snn=0
f = open("test2id.txt", "r")
tot = (int)(f.readline())
for i in range(tot):
content = f.readline()
h,t,r = content.strip().split()
rign = rellef[r] / totlef[r]
lefn = relrig[r] / totrig[r]
if (rign < 1.5 and lefn < 1.5):
s11+=1
if (rign >= 1.5 and lefn < 1.5):
s1n+=1
if (rign < 1.5 and lefn >= 1.5):
sn1+=1
if (rign >= 1.5 and lefn >= 1.5):
snn+=1
f.close()
f = open("test2id.txt", "r")
f11 = open("1-1.txt", "w")
f1n = open("1-n.txt", "w")
fn1 = open("n-1.txt", "w")
fnn = open("n-n.txt", "w")
fall = open("test2id_all.txt", "w")
tot = (int)(f.readline())
fall.write("%d\n"%(tot))
f11.write("%d\n"%(s11))
f1n.write("%d\n"%(s1n))
fn1.write("%d\n"%(sn1))
fnn.write("%d\n"%(snn))
for i in range(tot):
content = f.readline()
h,t,r = content.strip().split()
rign = rellef[r] / totlef[r]
lefn = relrig[r] / totrig[r]
if (rign < 1.5 and lefn < 1.5):
f11.write(content)
fall.write("0"+"\t"+content)
if (rign >= 1.5 and lefn < 1.5):
f1n.write(content)
fall.write("1"+"\t"+content)
if (rign < 1.5 and lefn >= 1.5):
fn1.write(content)
fall.write("2"+"\t"+content)
if (rign >= 1.5 and lefn >= 1.5):
fnn.write(content)
fall.write("3"+"\t"+content)
fall.close()
f.close()
f11.close()
f1n.close()
fn1.close()
fnn.close()

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653
7 104 13
42 93 43
94 21 28
57 19 43
102 59 27
19 5 27
98 92 15
75 99 7
37 107 43
89 88 27
3 73 19
15 34 13
82 50 27
34 28 27
13 25 41
86 126 29
99 5 30
100 58 41
11 77 20
53 32 2
40 109 28
87 28 9
10 77 20
70 57 27
34 81 40
85 21 31
73 63 27
100 92 15
86 24 35
70 5 2
53 98 43
113 87 43
9 125 45
94 78 28
18 43 15
11 28 27
57 9 27
28 58 27
22 101 14
3 59 19
95 57 42
13 77 28
50 109 19
29 28 2
73 52 40
89 19 12
131 118 13
19 73 30
73 106 19
81 63 5
75 73 5
16 43 15
102 77 27
63 1 27
113 28 18
50 89 36
100 27 41
3 21 19
32 78 28
50 116 30
57 45 19
134 87 27
89 122 30
100 1 41
73 99 5
20 89 20
95 19 42
24 28 28
99 1 27
49 106 19
21 122 27
65 73 28
91 37 0
59 3 19
51 67 14
53 59 2
5 63 30
91 105 0
21 50 19
21 20 29
83 74 41
29 87 40
86 1 28
12 118 43
113 99 9
81 27 28
83 77 28
5 99 9
21 3 19
59 77 19
106 73 26
21 57 19
60 95 13
65 53 29
21 100 19
128 130 11
100 76 26
109 15 23
70 113 27
65 56 41
68 93 43
87 73 19
87 70 29
109 89 6
102 73 27
65 107 43
73 56 27
113 27 27
86 132 29
65 111 41
59 89 27
102 10 13
6 49 26
59 19 19
57 52 36
83 122 41
102 113 27
105 55 13
52 59 2
51 22 13
89 122 27
126 57 27
98 19 20
20 19 20
52 86 2
73 92 15
89 17 30
49 73 5
105 43 15
120 128 26
19 77 40
83 53 29
64 52 20
89 17 27
63 87 27
34 134 13
20 89 27
109 99 16
123 15 0
19 77 27
73 19 19
19 89 36
88 39 26
34 89 6
73 87 19
131 17 13
89 74 27
79 89 6
63 89 19
63 77 27
81 9 41
46 23 13
50 16 30
89 116 27
87 115 27
65 24 28
111 99 28
64 99 27
37 21 27
33 43 15
111 5 28
123 80 43
106 55 23
50 23 36
31 107 43
106 100 26
80 77 26
5 49 19
59 28 27
89 120 19
47 102 13
28 57 27
73 89 36
46 78 11
46 114 29
15 113 27
82 63 40
81 103 19
87 63 30
10 19 40
62 31 17
124 80 28
42 99 19
70 81 20
89 5 27
57 89 19
111 126 29
1 56 43
5 21 30
125 92 26
55 19 27
77 21 27
82 86 2
59 118 27
21 59 27
63 21 27
47 5 27
28 19 19
15 63 27
50 63 27
8 63 27
91 15 0
50 27 27
34 5 27
4 58 43
22 6 11
32 17 41
5 4 27
35 64 13
77 87 19
91 104 0
91 116 0
76 19 19
95 52 42
99 63 27
23 125 45
3 45 19
34 99 27
82 29 13
73 122 30
25 58 13
134 5 2
102 77 20
28 19 27
32 36 41
87 4 30
53 89 40
99 59 43
89 77 12
61 46 17
95 50 6
73 115 27
86 63 28
87 113 9
80 57 26
35 99 27
102 8 13
87 44 36
11 81 20
77 87 27
74 88 45
117 115 41
60 107 43
77 19 19
88 51 26
32 82 29
12 107 43
126 77 20
49 3 19
73 19 5
37 92 15
50 81 9
109 105 16
106 28 0
47 92 15
99 19 27
75 79 9
15 37 13
32 27 41
28 42 27
83 131 41
47 60 13
91 59 0
36 56 13
29 70 13
100 89 5
78 73 40
64 5 27
1 82 28
5 82 29
115 134 28
109 5 27
73 12 30
67 77 20
57 38 27
77 49 19
99 131 27
115 18 43
46 109 11
19 77 12
17 88 45
78 39 27
26 125 7
22 48 14
34 77 20
77 89 36
49 99 5
27 107 43
50 128 36
10 100 20
109 95 0
19 16 27
63 57 19
78 49 26
32 70 29
113 9 30
113 57 19
106 77 6
38 70 28
57 73 5
19 57 18
21 116 19
75 97 31
106 105 16
70 77 20
121 0 43
3 52 19
105 77 20
126 100 20
3 50 19
50 89 40
5 116 43
62 112 43
21 36 27
50 45 43
77 52 5
96 49 20
65 99 28
80 19 26
75 81 26
128 88 11
83 21 28
82 70 13
59 87 18
3 108 43
51 106 11
19 52 9
113 20 29
59 82 29
57 100 40
57 113 19
104 43 15
41 107 43
28 63 43
106 95 23
10 99 40
21 99 18
10 21 40
89 58 30
57 99 30
63 16 27
5 25 27
89 110 19
55 57 40
77 88 19
50 3 19
105 70 13
54 52 20
83 36 28
83 27 28
116 19 19
29 50 40
125 89 5
69 0 43
86 83 43
79 50 6
84 73 26
53 63 27
5 21 9
89 70 29
50 21 19
82 21 40
72 84 33
110 108 43
64 19 20
106 100 6
65 4 41
50 103 19
75 50 5
76 113 31
28 99 27
117 131 41
116 73 19
100 50 19
87 53 29
97 57 20
82 99 27
106 43 15
5 89 30
25 122 13
109 30 23
118 56 13
109 19 16
131 115 13
78 57 3
100 81 40
34 87 2
128 6 11
71 131 41
15 134 13
95 73 20
60 92 15
114 81 20
19 115 30
81 28 19
34 50 42
34 113 40
52 28 19
21 5 18
99 3 19
85 113 31
36 73 20
38 10 28
104 105 13
11 57 20
117 43 15
10 52 40
54 52 42
114 107 43
20 134 13
30 20 13
59 74 27
89 52 9
57 50 5
27 20 28
126 8 13
21 116 27
109 103 43
57 81 40
81 9 27
42 5 5
13 36 41
11 29 13
89 50 9
29 57 40
79 5 5
5 59 9
128 23 43
7 57 27
128 120 45
19 21 5
106 108 43
20 71 2
81 113 5
28 21 19
113 4 30
64 43 15
115 4 13
70 63 27
83 102 29
110 49 19
19 3 19
126 7 13
77 116 30
81 118 41
106 54 14
91 106 34
20 52 20
81 131 27
59 12 30
106 95 0
105 59 27
89 57 19
130 129 43
31 82 13
109 57 27
8 64 43
73 118 27
53 73 20
35 81 20
134 77 27
28 38 27
13 1 28
78 28 27
4 56 13
36 19 20
32 53 29
22 48 29
46 123 11
70 52 20
112 43 15
7 43 15
27 16 13
28 113 19
76 58 17
81 19 5
77 110 19
21 58 27
83 25 41
126 82 13
0 92 15
39 114 14
53 49 20
63 19 19
20 29 13
21 63 43
34 28 40
55 113 2
73 77 18
76 56 17
30 102 13
27 53 28
5 50 19
83 87 28
127 93 43
100 107 43
86 43 15
116 57 19
76 5 5
78 28 40
22 101 29
34 20 13
34 49 20
28 70 29
57 21 27
110 89 19
5 87 27
60 73 27
109 113 27
20 65 2
127 87 5
87 25 27
99 21 27
28 99 19
34 21 27
30 73 20
116 99 27
57 53 29
109 8 0
76 59 31
21 63 27
50 57 19
115 1 13
100 36 28
34 77 6
106 44 0
89 63 19
95 63 40
95 87 2
81 52 19
83 59 28
31 34 13
134 20 43
50 27 30
134 64 13
77 25 27
75 93 43
73 76 26
49 52 9
51 54 14
51 50 6
77 57 12
57 43 15
19 113 19
57 25 30
73 81 19
100 19 5
76 57 19
52 92 15
53 89 20
42 27 17
31 50 27
60 100 20
47 37 13
34 73 3
104 126 43
20 5 2
5 99 27
34 57 27
83 1 28
26 129 7
13 32 41
29 86 2
90 19 26
71 113 28
57 87 30
95 43 15
53 19 40
19 99 30
81 1 28
13 9 41
87 50 27
67 89 20
32 111 41
59 50 19
101 49 42
19 4 27
111 59 28
19 57 36
70 37 43
65 92 15
65 31 29
27 56 43
77 52 36
55 92 15
124 84 28
86 20 29
36 18 43
87 45 19
87 63 43
126 31 13
126 116 27
106 57 26
59 134 29
89 25 30
47 63 27
50 20 29
89 76 26
109 134 23
126 98 43
89 131 27
6 50 26
113 5 18
64 57 27
82 20 43
91 53 0
50 57 18
95 134 13
1 16 13
49 1 27
73 59 19
13 36 28
95 77 27
63 49 19
57 81 9
57 49 19
111 132 29
77 89 30
84 92 15
73 57 5
1 73 20
52 50 40
104 95 13
59 116 19
57 86 29
106 70 16
81 5 5
30 77 27
109 76 0
37 10 13
106 19 6
52 19 40
59 100 19
63 27 27
87 82 29
125 57 26
116 28 27
6 73 26
83 38 28
5 73 27
57 74 27
49 128 36
113 76 27
91 57 0
19 39 36
89 58 27
110 45 43
77 50 18
75 107 43
1 122 13
35 89 20
117 36 41
77 25 30

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46
measures 0
derivative_of 1
disrupts 2
prevents 3
conceptually_related_to 4
manifestation_of 5
diagnoses 6
evaluation_of 7
contains 8
co-occurs_with 9
conceptual_part_of 10
performs 11
degree_of 12
interacts_with 13
uses 14
issue_in 15
assesses_effect_of 16
property_of 17
precedes 18
result_of 19
causes 20
practices 21
ingredient_of 22
analyzes 23
surrounds 24
indicates 25
associated_with 26
affects 27
location_of 28
produces 29
process_of 30
measurement_of 31
connected_to 32
carries_out 33
method_of 34
adjacent_to 35
occurs_in 36
consists_of 37
interconnects 38
manages 39
complicates 40
part_of 41
treats 42
isa 43
developmental_form_of 44
exhibits 45

662
kg/UMLS/test2id.txt
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661
7 104 13
42 93 43
94 21 28
57 19 43
102 59 27
19 5 27
98 92 15
75 99 7
37 107 43
30 96 22
89 88 27
3 73 19
15 34 13
82 50 27
34 28 27
13 25 41
86 126 29
99 5 30
100 58 41
11 77 20
53 32 2
40 109 28
87 28 9
10 77 20
70 57 27
34 81 40
85 21 31
73 63 27
100 92 15
86 24 35
70 5 2
53 98 43
113 87 43
9 125 45
94 78 28
18 43 15
11 28 27
57 9 27
28 58 27
22 101 14
3 59 19
95 57 42
13 77 28
50 109 19
29 28 2
73 52 40
89 19 12
131 118 13
19 73 30
73 106 19
81 63 5
75 73 5
16 43 15
102 77 27
63 1 27
113 28 18
50 89 36
100 27 41
3 21 19
32 78 28
50 116 30
57 45 19
134 87 27
89 122 30
100 1 41
73 99 5
20 89 20
95 19 42
24 28 28
99 1 27
49 106 19
21 122 27
65 73 28
91 37 0
59 3 19
51 67 14
53 59 2
5 63 30
91 105 0
21 50 19
21 20 29
83 74 41
29 87 40
86 1 28
12 118 43
113 99 9
81 27 28
83 77 28
5 99 9
21 3 19
59 77 19
106 73 26
21 57 19
60 95 13
65 53 29
21 100 19
128 130 11
100 76 26
109 15 23
70 113 27
65 56 41
68 93 43
87 73 19
87 70 29
109 89 6
102 73 27
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662
kg/UMLS/test2id_all.txt
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@ -1,662 +0,0 @@
661
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5217
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93
kg/UMLS/type_constrain.txt
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46
28 23 49 111 65 32 72 1 24 117 71 81 86 94 41 131 38 124 13 83 40 100 115 27 36
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5 17 81 50 19 77 127 100 76 79 49 57 88 75 89 73 42 120 125
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43 133 115 112 31 126 95 48 4 104 61 76 72 111 74 37 42 100 78 57 89 106 47 19 50 131 66 53 25 58 125 94 91 102 85 5 105 41 79 62 86 59 65 117 46 103 23 17 39 15 70 34 8 132 16 36 118 114 26 29 98 63 133 96 28 60 32 129 77 9 33 124 119 7 6 69 43 12 90 116 21 82 81 14 10 110 22 13 123 87 30 109 24 88 80 11 55 93 38 99 40 56 49 0 84 1 83 134 67 68 101 64 73 71 121 130 113 75 122 20 35 92 54 51 45 2 127 120 128 44 27 52 97 18 3
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27 56 89 7 78 31 82 126 113 134 19 65 55 20 87 59 28 77 5 104 100 63 10 57 15 29 106 30 50 21 11 60 64 70 105 99 49 97 8 34 37 73 71 125 47 81 53 48 35 95 103 116 88 102 120 109 91 123
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13 45 128 70 95 105 16 134 17 60 64 12 56 35 34 20 29 11 53 25 58 55 27 8 9 38 23 82 15 37 74 39 4 104 10 122 30 126 102 118 7 36 46 1 31 22 115
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40 21 20 29 50 82 19 10 57 77 73 52 78 95 34 53 134 70 89 55 49 100 81
40 18 81 5 77 19 28 49 100 57 89 21 73 87 99 50 59 113 52 63
36 17 50 57 89 77 73 21 49 100 52 99 28 81 19 113 59 5 87
36 13 51 89 128 57 39 46 22 44 23 19 52 87 113
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29 30 51 32 89 59 113 5 41 21 124 86 71 63 22 28 99 77 128 83 111 57 39 50 19 65 73 46 23 72 87 40
29 28 96 15 10 53 48 68 20 114 70 67 29 132 134 102 60 104 66 82 30 54 46 7 86 101 31 126 65 128
12 10 87 77 19 57 73 89 50 76 113 42
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15 2 43 92
41 13 81 65 117 86 49 32 13 111 71 83 100 24 132
41 21 74 32 12 118 17 38 58 25 131 56 115 27 4 16 122 111 36 86 9 1 65
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3 5 78 95 101 34 54
3 7 19 57 50 77 73 52 89
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20 10 81 57 77 73 19 89 50 49 100 52
25 2 10 75
25 21 27 38 1 50 89 100 52 59 49 81 73 19 99 21 63 87 77 28 57 5 113
42 6 95 78 34 54 101 51
42 12 79 52 77 100 89 19 73 81 49 39 57 50
7 4 127 79 26 75
7 31 73 59 6 80 50 5 57 42 21 87 99 76 120 19 89 130 90 106 77 113 63 109 28 123 78 88 91 84 103 125 129
6 6 106 109 34 79 95 51
6 10 52 19 50 57 89 81 77 49 73 100
45 15 17 46 4 23 118 22 128 25 12 16 39 9 74 51 58
45 3 120 125 88
22 27 35 8 7 34 37 95 60 53 98 132 64 10 134 104 97 20 70 126 11 29 31 15 105 30 47 82 55
22 1 96
17 5 42 76 133 61 62
17 26 118 1 17 4 9 131 16 15 38 39 51 56 128 122 58 71 36 25 115 27 74 23 22 12 31 46
39 3 72 41 51
39 5 39 124 72 40 41
16 2 109 106
16 39 59 37 11 34 53 102 95 15 29 8 104 35 63 5 47 31 10 55 113 60 116 7 28 87 20 64 126 30 89 73 70 134 82 50 21 57 99 105 19
34 10 78 123 84 109 90 106 80 91 130 103
34 5 92 43 106 78 109
31 4 75 85 76 42
31 42 47 55 121 98 28 21 82 59 87 133 99 5 69 102 37 134 10 30 53 62 113 20 132 104 35 2 11 15 60 34 31 7 24 8 105 126 29 94 112 64 95 97
18 13 77 73 5 28 59 99 19 57 113 89 21 50 87
18 13 89 19 113 21 57 87 28 77 50 99 73 59 5
37 2 132 111
37 8 60 30 31 104 126 15 102 132
11 6 39 22 23 46 51 128
11 15 129 80 120 125 130 84 123 6 91 90 109 106 78 88 103
10 14 66 0 24 44 5 32 86 94 85 119 87 111 132 65
10 9 106 120 119 28 44 87 83 78 5
23 2 106 109
23 26 64 55 29 132 53 34 30 15 37 102 104 20 70 7 60 47 11 105 126 10 8 35 82 31 134 95
33 5 40 124 41 72 71
33 11 91 106 109 103 84 90 80 59 78 123 99
44 2 13 86
44 3 32 111 86
8 9 83 86 71 24 65 13 32 111 54
8 4 132 86 111 96
35 4 111 94 65 86
35 4 24 32 86 111
38 2 111 24
38 2 24 32
4 2 125 19
4 2 0 50
24 5 24 132 86 111 13
24 6 32 13 65 132 86 24
1 1 132
1 1 86
21 1 51
21 2 92 43

653
kg/UMLS/valid2id.txt
View File

@ -1,653 +0,0 @@
652
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