Task
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values | Dataset
stringclasses 35
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| Instance
dict | instruction
stringclasses 9
values | prompt
stringlengths 283
8.5k
| response
stringlengths 1
4.68k
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RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Eruptive epidermoid cysts , imiquimod )",
"id": "0",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Eruptive epidermoid cysts , imiquimod )",
"output_json": "{\"relations\": [{\"head\": \"Eruptive epidermoid cysts\", \"relation\": \"adverse effect\", \"tail\": \"imiquimod\"}]}",
"sentence": "Eruptive epidermoid cysts resulting from treatment with imiquimod ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Eruptive epidermoid cysts resulting from treatment with imiquimod .
### Output:
|
( adverse effect : Eruptive epidermoid cysts , imiquimod )
|
Option: adverse effect
|
{"relations": [{"head": "Eruptive epidermoid cysts", "relation": "adverse effect", "tail": "imiquimod"}]}
|
( adverse effect : Eruptive epidermoid cysts , imiquimod )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Bronchiolitis obliterans organising pneumonia , nitrofurantoin )",
"id": "1",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Bronchiolitis obliterans organising pneumonia , nitrofurantoin )",
"output_json": "{\"relations\": [{\"head\": \"Bronchiolitis obliterans organising pneumonia\", \"relation\": \"adverse effect\", \"tail\": \"nitrofurantoin\"}]}",
"sentence": "Bronchiolitis obliterans organising pneumonia associated with the use of nitrofurantoin ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Bronchiolitis obliterans organising pneumonia associated with the use of nitrofurantoin .
### Output:
|
( adverse effect : Bronchiolitis obliterans organising pneumonia , nitrofurantoin )
|
Option: adverse effect
|
{"relations": [{"head": "Bronchiolitis obliterans organising pneumonia", "relation": "adverse effect", "tail": "nitrofurantoin"}]}
|
( adverse effect : Bronchiolitis obliterans organising pneumonia , nitrofurantoin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : overanticoagulation , acenocoumarol )",
"id": "2",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : overanticoagulation , acenocoumarol )",
"output_json": "{\"relations\": [{\"head\": \"overanticoagulation\", \"relation\": \"adverse effect\", \"tail\": \"acenocoumarol\"}]}",
"sentence": "We report the case of a young healthy woman who presented an early overanticoagulation when receiving acenocoumarol for a first thromboembolic episode ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
We report the case of a young healthy woman who presented an early overanticoagulation when receiving acenocoumarol for a first thromboembolic episode .
### Output:
|
( adverse effect : overanticoagulation , acenocoumarol )
|
Option: adverse effect
|
{"relations": [{"head": "overanticoagulation", "relation": "adverse effect", "tail": "acenocoumarol"}]}
|
( adverse effect : overanticoagulation , acenocoumarol )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : angioedema , aspirin ) ; ( adverse effect : systemic anaphylactoid reaction , aspirin ) ; ( adverse effect : urticaria , aspirin )",
"id": "3",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : angioedema , aspirin ) ; ( adverse effect : systemic anaphylactoid reaction , aspirin ) ; ( adverse effect : urticaria , aspirin )",
"output_json": "{\"relations\": [{\"head\": \"angioedema\", \"relation\": \"adverse effect\", \"tail\": \"aspirin\"}, {\"head\": \"systemic anaphylactoid reaction\", \"relation\": \"adverse effect\", \"tail\": \"aspirin\"}, {\"head\": \"urticaria\", \"relation\": \"adverse effect\", \"tail\": \"aspirin\"}]}",
"sentence": "Hypersensitivity to aspirin can be manifested as acute asthma , urticaria and/or angioedema , or a systemic anaphylactoid reaction ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Hypersensitivity to aspirin can be manifested as acute asthma , urticaria and/or angioedema , or a systemic anaphylactoid reaction .
### Output:
|
( adverse effect : angioedema , aspirin ) ; ( adverse effect : systemic anaphylactoid reaction , aspirin ) ; ( adverse effect : urticaria , aspirin )
|
Option: adverse effect
|
{"relations": [{"head": "angioedema", "relation": "adverse effect", "tail": "aspirin"}, {"head": "systemic anaphylactoid reaction", "relation": "adverse effect", "tail": "aspirin"}, {"head": "urticaria", "relation": "adverse effect", "tail": "aspirin"}]}
|
( adverse effect : angioedema , aspirin ) ; ( adverse effect : systemic anaphylactoid reaction , aspirin ) ; ( adverse effect : urticaria , aspirin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : severe hypersensitivity , carboplatin )",
"id": "4",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : severe hypersensitivity , carboplatin )",
"output_json": "{\"relations\": [{\"head\": \"severe hypersensitivity\", \"relation\": \"adverse effect\", \"tail\": \"carboplatin\"}]}",
"sentence": "Prick tests and intradermal tests with a series of dilutions of carboplatin and cisplatin were performed on three patients who had exhibited medium and severe hypersensitivity reactions to carboplatin ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Prick tests and intradermal tests with a series of dilutions of carboplatin and cisplatin were performed on three patients who had exhibited medium and severe hypersensitivity reactions to carboplatin .
### Output:
|
( adverse effect : severe hypersensitivity , carboplatin )
|
Option: adverse effect
|
{"relations": [{"head": "severe hypersensitivity", "relation": "adverse effect", "tail": "carboplatin"}]}
|
( adverse effect : severe hypersensitivity , carboplatin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : nephropathy , gold - salt )",
"id": "5",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : nephropathy , gold - salt )",
"output_json": "{\"relations\": [{\"head\": \"nephropathy\", \"relation\": \"adverse effect\", \"tail\": \"gold - salt\"}]}",
"sentence": "Although the data indicate an immune - complex cause for gold - salt nephropathy , the incident antigen ( or antigens ) and mechanism of action remain unidentified ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Although the data indicate an immune - complex cause for gold - salt nephropathy , the incident antigen ( or antigens ) and mechanism of action remain unidentified .
### Output:
|
( adverse effect : nephropathy , gold - salt )
|
Option: adverse effect
|
{"relations": [{"head": "nephropathy", "relation": "adverse effect", "tail": "gold - salt"}]}
|
( adverse effect : nephropathy , gold - salt )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : neurologic events , Phenylpropanolamine ) ; ( adverse effect : neurologic events , PPA ) ; ( adverse effect : stroke , Phenylpropanolamine ) ; ( adverse effect : stroke , PPA )",
"id": "6",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : neurologic events , Phenylpropanolamine ) ; ( adverse effect : neurologic events , PPA ) ; ( adverse effect : stroke , Phenylpropanolamine ) ; ( adverse effect : stroke , PPA )",
"output_json": "{\"relations\": [{\"head\": \"neurologic events\", \"relation\": \"adverse effect\", \"tail\": \"Phenylpropanolamine\"}, {\"head\": \"neurologic events\", \"relation\": \"adverse effect\", \"tail\": \"PPA\"}, {\"head\": \"stroke\", \"relation\": \"adverse effect\", \"tail\": \"Phenylpropanolamine\"}, {\"head\": \"stroke\", \"relation\": \"adverse effect\", \"tail\": \"PPA\"}]}",
"sentence": "Phenylpropanolamine ( PPA ) recently has been publicly implicated as a cause of stroke and other neurologic events ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Phenylpropanolamine ( PPA ) recently has been publicly implicated as a cause of stroke and other neurologic events .
### Output:
|
( adverse effect : neurologic events , Phenylpropanolamine ) ; ( adverse effect : neurologic events , PPA ) ; ( adverse effect : stroke , Phenylpropanolamine ) ; ( adverse effect : stroke , PPA )
|
Option: adverse effect
|
{"relations": [{"head": "neurologic events", "relation": "adverse effect", "tail": "Phenylpropanolamine"}, {"head": "neurologic events", "relation": "adverse effect", "tail": "PPA"}, {"head": "stroke", "relation": "adverse effect", "tail": "Phenylpropanolamine"}, {"head": "stroke", "relation": "adverse effect", "tail": "PPA"}]}
|
( adverse effect : neurologic events , Phenylpropanolamine ) ; ( adverse effect : neurologic events , PPA ) ; ( adverse effect : stroke , Phenylpropanolamine ) ; ( adverse effect : stroke , PPA )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : eosinophilia , propylthiouracil ) ; ( adverse effect : granulocytopenia , propylthiouracil ) ; ( adverse effect : hepatitis , propylthiouracil ) ; ( adverse effect : lymphocyte sensitization , propylthiouracil ) ; ( adverse effect : skin reaction , propylthiouracil )",
"id": "7",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : eosinophilia , propylthiouracil ) ; ( adverse effect : granulocytopenia , propylthiouracil ) ; ( adverse effect : hepatitis , propylthiouracil ) ; ( adverse effect : lymphocyte sensitization , propylthiouracil ) ; ( adverse effect : skin reaction , propylthiouracil )",
"output_json": "{\"relations\": [{\"head\": \"eosinophilia\", \"relation\": \"adverse effect\", \"tail\": \"propylthiouracil\"}, {\"head\": \"granulocytopenia\", \"relation\": \"adverse effect\", \"tail\": \"propylthiouracil\"}, {\"head\": \"hepatitis\", \"relation\": \"adverse effect\", \"tail\": \"propylthiouracil\"}, {\"head\": \"lymphocyte sensitization\", \"relation\": \"adverse effect\", \"tail\": \"propylthiouracil\"}, {\"head\": \"skin reaction\", \"relation\": \"adverse effect\", \"tail\": \"propylthiouracil\"}]}",
"sentence": "Multiple complications of propylthiouracil treatment : granulocytopenia , eosinophilia , skin reaction and hepatitis with lymphocyte sensitization ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Multiple complications of propylthiouracil treatment : granulocytopenia , eosinophilia , skin reaction and hepatitis with lymphocyte sensitization .
### Output:
|
( adverse effect : eosinophilia , propylthiouracil ) ; ( adverse effect : granulocytopenia , propylthiouracil ) ; ( adverse effect : hepatitis , propylthiouracil ) ; ( adverse effect : lymphocyte sensitization , propylthiouracil ) ; ( adverse effect : skin reaction , propylthiouracil )
|
Option: adverse effect
|
{"relations": [{"head": "eosinophilia", "relation": "adverse effect", "tail": "propylthiouracil"}, {"head": "granulocytopenia", "relation": "adverse effect", "tail": "propylthiouracil"}, {"head": "hepatitis", "relation": "adverse effect", "tail": "propylthiouracil"}, {"head": "lymphocyte sensitization", "relation": "adverse effect", "tail": "propylthiouracil"}, {"head": "skin reaction", "relation": "adverse effect", "tail": "propylthiouracil"}]}
|
( adverse effect : eosinophilia , propylthiouracil ) ; ( adverse effect : granulocytopenia , propylthiouracil ) ; ( adverse effect : hepatitis , propylthiouracil ) ; ( adverse effect : lymphocyte sensitization , propylthiouracil ) ; ( adverse effect : skin reaction , propylthiouracil )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hyperthyroidism , IFN - alpha )",
"id": "8",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : hyperthyroidism , IFN - alpha )",
"output_json": "{\"relations\": [{\"head\": \"hyperthyroidism\", \"relation\": \"adverse effect\", \"tail\": \"IFN - alpha\"}]}",
"sentence": "Hence , hyperthyroidism induced by IFN - alpha could correspond to the first phase of silent thyroiditis , to Graves ' disease or to the succession of both ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Hence , hyperthyroidism induced by IFN - alpha could correspond to the first phase of silent thyroiditis , to Graves ' disease or to the succession of both .
### Output:
|
( adverse effect : hyperthyroidism , IFN - alpha )
|
Option: adverse effect
|
{"relations": [{"head": "hyperthyroidism", "relation": "adverse effect", "tail": "IFN - alpha"}]}
|
( adverse effect : hyperthyroidism , IFN - alpha )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hypersensitivity , carboplatin )",
"id": "9",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : hypersensitivity , carboplatin )",
"output_json": "{\"relations\": [{\"head\": \"hypersensitivity\", \"relation\": \"adverse effect\", \"tail\": \"carboplatin\"}]}",
"sentence": "This regimen could prove useful for other patients who develop hypersensitivity reactions to carboplatin and allow therapy to continue ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
This regimen could prove useful for other patients who develop hypersensitivity reactions to carboplatin and allow therapy to continue .
### Output:
|
( adverse effect : hypersensitivity , carboplatin )
|
Option: adverse effect
|
{"relations": [{"head": "hypersensitivity", "relation": "adverse effect", "tail": "carboplatin"}]}
|
( adverse effect : hypersensitivity , carboplatin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : QT prolongation , pirmenol ) ; ( adverse effect : T wave inversion , pirmenol )",
"id": "10",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : QT prolongation , pirmenol ) ; ( adverse effect : T wave inversion , pirmenol )",
"output_json": "{\"relations\": [{\"head\": \"QT prolongation\", \"relation\": \"adverse effect\", \"tail\": \"pirmenol\"}, {\"head\": \"T wave inversion\", \"relation\": \"adverse effect\", \"tail\": \"pirmenol\"}]}",
"sentence": "Thus , an immunological mechanism might be involved in the mechanism of pirmenol - induced QT prolongation and T wave inversion on the electrocardiogram ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Thus , an immunological mechanism might be involved in the mechanism of pirmenol - induced QT prolongation and T wave inversion on the electrocardiogram .
### Output:
|
( adverse effect : QT prolongation , pirmenol ) ; ( adverse effect : T wave inversion , pirmenol )
|
Option: adverse effect
|
{"relations": [{"head": "QT prolongation", "relation": "adverse effect", "tail": "pirmenol"}, {"head": "T wave inversion", "relation": "adverse effect", "tail": "pirmenol"}]}
|
( adverse effect : QT prolongation , pirmenol ) ; ( adverse effect : T wave inversion , pirmenol )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : urinary calculus , Magnesium )",
"id": "11",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : urinary calculus , Magnesium )",
"output_json": "{\"relations\": [{\"head\": \"urinary calculus\", \"relation\": \"adverse effect\", \"tail\": \"Magnesium\"}]}",
"sentence": "Magnesium tocolysis as the cause of urinary calculus during pregnancy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Magnesium tocolysis as the cause of urinary calculus during pregnancy .
### Output:
|
( adverse effect : urinary calculus , Magnesium )
|
Option: adverse effect
|
{"relations": [{"head": "urinary calculus", "relation": "adverse effect", "tail": "Magnesium"}]}
|
( adverse effect : urinary calculus , Magnesium )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : tuberculosis , Efalizumab ) ; ( adverse effect : tuberculosis , Etanercept )",
"id": "12",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : tuberculosis , Efalizumab ) ; ( adverse effect : tuberculosis , Etanercept )",
"output_json": "{\"relations\": [{\"head\": \"tuberculosis\", \"relation\": \"adverse effect\", \"tail\": \"Efalizumab\"}, {\"head\": \"tuberculosis\", \"relation\": \"adverse effect\", \"tail\": \"Etanercept\"}]}",
"sentence": "A case of tuberculosis in a patient on Efalizumab and Etanercept for treatment of refractory palmopustular psoriasis and psoriatic arthritis ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
A case of tuberculosis in a patient on Efalizumab and Etanercept for treatment of refractory palmopustular psoriasis and psoriatic arthritis .
### Output:
|
( adverse effect : tuberculosis , Efalizumab ) ; ( adverse effect : tuberculosis , Etanercept )
|
Option: adverse effect
|
{"relations": [{"head": "tuberculosis", "relation": "adverse effect", "tail": "Efalizumab"}, {"head": "tuberculosis", "relation": "adverse effect", "tail": "Etanercept"}]}
|
( adverse effect : tuberculosis , Efalizumab ) ; ( adverse effect : tuberculosis , Etanercept )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Hashimoto 's disease , IFN - alpha ) ; ( adverse effect : Hashimoto 's disease , interferon - alpha )",
"id": "13",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Hashimoto 's disease , IFN - alpha ) ; ( adverse effect : Hashimoto 's disease , interferon - alpha )",
"output_json": "{\"relations\": [{\"head\": \"Hashimoto 's disease\", \"relation\": \"adverse effect\", \"tail\": \"IFN - alpha\"}, {\"head\": \"Hashimoto 's disease\", \"relation\": \"adverse effect\", \"tail\": \"interferon - alpha\"}]}",
"sentence": "OBJECTIVES : The authors described a case of Hashimoto 's disease during interferon - alpha ( IFN - alpha ) treatment for chronic viral C hepatitis in a patient with the specific genetic susceptibility associated with the thyroid disease ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
OBJECTIVES : The authors described a case of Hashimoto 's disease during interferon - alpha ( IFN - alpha ) treatment for chronic viral C hepatitis in a patient with the specific genetic susceptibility associated with the thyroid disease .
### Output:
|
( adverse effect : Hashimoto 's disease , IFN - alpha ) ; ( adverse effect : Hashimoto 's disease , interferon - alpha )
|
Option: adverse effect
|
{"relations": [{"head": "Hashimoto 's disease", "relation": "adverse effect", "tail": "IFN - alpha"}, {"head": "Hashimoto 's disease", "relation": "adverse effect", "tail": "interferon - alpha"}]}
|
( adverse effect : Hashimoto 's disease , IFN - alpha ) ; ( adverse effect : Hashimoto 's disease , interferon - alpha )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Hepatic damage , danazol )",
"id": "14",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Hepatic damage , danazol )",
"output_json": "{\"relations\": [{\"head\": \"Hepatic damage\", \"relation\": \"adverse effect\", \"tail\": \"danazol\"}]}",
"sentence": "Hepatic damage after danazol treatment ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Hepatic damage after danazol treatment .
### Output:
|
( adverse effect : Hepatic damage , danazol )
|
Option: adverse effect
|
{"relations": [{"head": "Hepatic damage", "relation": "adverse effect", "tail": "danazol"}]}
|
( adverse effect : Hepatic damage , danazol )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : maculopathy , Niacin )",
"id": "15",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : maculopathy , Niacin )",
"output_json": "{\"relations\": [{\"head\": \"maculopathy\", \"relation\": \"adverse effect\", \"tail\": \"Niacin\"}]}",
"sentence": "Niacin maculopathy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Niacin maculopathy .
### Output:
|
( adverse effect : maculopathy , Niacin )
|
Option: adverse effect
|
{"relations": [{"head": "maculopathy", "relation": "adverse effect", "tail": "Niacin"}]}
|
( adverse effect : maculopathy , Niacin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Angioedema , budesonide ) ; ( adverse effect : dysphagia , budesonide )",
"id": "16",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Angioedema , budesonide ) ; ( adverse effect : dysphagia , budesonide )",
"output_json": "{\"relations\": [{\"head\": \"Angioedema\", \"relation\": \"adverse effect\", \"tail\": \"budesonide\"}, {\"head\": \"dysphagia\", \"relation\": \"adverse effect\", \"tail\": \"budesonide\"}]}",
"sentence": "Angioedema and dysphagia caused by contact allergy to inhaled budesonide ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Angioedema and dysphagia caused by contact allergy to inhaled budesonide .
### Output:
|
( adverse effect : Angioedema , budesonide ) ; ( adverse effect : dysphagia , budesonide )
|
Option: adverse effect
|
{"relations": [{"head": "Angioedema", "relation": "adverse effect", "tail": "budesonide"}, {"head": "dysphagia", "relation": "adverse effect", "tail": "budesonide"}]}
|
( adverse effect : Angioedema , budesonide ) ; ( adverse effect : dysphagia , budesonide )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : disfiguring facial edema , peginterferon alfa-2a ) ; ( adverse effect : disfiguring facial edema , ribavirin )",
"id": "17",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : disfiguring facial edema , peginterferon alfa-2a ) ; ( adverse effect : disfiguring facial edema , ribavirin )",
"output_json": "{\"relations\": [{\"head\": \"disfiguring facial edema\", \"relation\": \"adverse effect\", \"tail\": \"peginterferon alfa-2a\"}, {\"head\": \"disfiguring facial edema\", \"relation\": \"adverse effect\", \"tail\": \"ribavirin\"}]}",
"sentence": "OBSERVATIONS : A 48-year - old woman presented with disfiguring facial edema 10 weeks after she began antiviral therapy with peginterferon alfa-2a and ribavirin for chronic hepatitis C infection ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
OBSERVATIONS : A 48-year - old woman presented with disfiguring facial edema 10 weeks after she began antiviral therapy with peginterferon alfa-2a and ribavirin for chronic hepatitis C infection .
### Output:
|
( adverse effect : disfiguring facial edema , peginterferon alfa-2a ) ; ( adverse effect : disfiguring facial edema , ribavirin )
|
Option: adverse effect
|
{"relations": [{"head": "disfiguring facial edema", "relation": "adverse effect", "tail": "peginterferon alfa-2a"}, {"head": "disfiguring facial edema", "relation": "adverse effect", "tail": "ribavirin"}]}
|
( adverse effect : disfiguring facial edema , peginterferon alfa-2a ) ; ( adverse effect : disfiguring facial edema , ribavirin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : pulmonary vasoconstriction , protamine ) ; ( adverse effect : right ventricular failure , protamine )",
"id": "18",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : pulmonary vasoconstriction , protamine ) ; ( adverse effect : right ventricular failure , protamine )",
"output_json": "{\"relations\": [{\"head\": \"pulmonary vasoconstriction\", \"relation\": \"adverse effect\", \"tail\": \"protamine\"}, {\"head\": \"right ventricular failure\", \"relation\": \"adverse effect\", \"tail\": \"protamine\"}]}",
"sentence": "A case report is presented concerning the administration of ketanserin in the treatment of pulmonary vasoconstriction and right ventricular failure following the infusion of protamine in a patient undergoing coronary artery bypass surgery and mitral valve replacement ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
A case report is presented concerning the administration of ketanserin in the treatment of pulmonary vasoconstriction and right ventricular failure following the infusion of protamine in a patient undergoing coronary artery bypass surgery and mitral valve replacement .
### Output:
|
( adverse effect : pulmonary vasoconstriction , protamine ) ; ( adverse effect : right ventricular failure , protamine )
|
Option: adverse effect
|
{"relations": [{"head": "pulmonary vasoconstriction", "relation": "adverse effect", "tail": "protamine"}, {"head": "right ventricular failure", "relation": "adverse effect", "tail": "protamine"}]}
|
( adverse effect : pulmonary vasoconstriction , protamine ) ; ( adverse effect : right ventricular failure , protamine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Fatal pulmonary fibrosis , BCNU )",
"id": "19",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Fatal pulmonary fibrosis , BCNU )",
"output_json": "{\"relations\": [{\"head\": \"Fatal pulmonary fibrosis\", \"relation\": \"adverse effect\", \"tail\": \"BCNU\"}]}",
"sentence": "Fatal pulmonary fibrosis associated with BCNU : the relative role of platelet - derived growth factor - B , insulin - like growth factor I , transforming growth factor - beta1 and cyclooxygenase-2 ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Fatal pulmonary fibrosis associated with BCNU : the relative role of platelet - derived growth factor - B , insulin - like growth factor I , transforming growth factor - beta1 and cyclooxygenase-2 .
### Output:
|
( adverse effect : Fatal pulmonary fibrosis , BCNU )
|
Option: adverse effect
|
{"relations": [{"head": "Fatal pulmonary fibrosis", "relation": "adverse effect", "tail": "BCNU"}]}
|
( adverse effect : Fatal pulmonary fibrosis , BCNU )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Syncope , nitrate )",
"id": "20",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Syncope , nitrate )",
"output_json": "{\"relations\": [{\"head\": \"Syncope\", \"relation\": \"adverse effect\", \"tail\": \"nitrate\"}]}",
"sentence": "Syncope in a 65-year - old woman after nitrate ingestion ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Syncope in a 65-year - old woman after nitrate ingestion .
### Output:
|
( adverse effect : Syncope , nitrate )
|
Option: adverse effect
|
{"relations": [{"head": "Syncope", "relation": "adverse effect", "tail": "nitrate"}]}
|
( adverse effect : Syncope , nitrate )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : morphea , bromocriptine )",
"id": "21",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : morphea , bromocriptine )",
"output_json": "{\"relations\": [{\"head\": \"morphea\", \"relation\": \"adverse effect\", \"tail\": \"bromocriptine\"}]}",
"sentence": "A 57-year - old man developed morphea while taking bromocriptine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
A 57-year - old man developed morphea while taking bromocriptine .
### Output:
|
( adverse effect : morphea , bromocriptine )
|
Option: adverse effect
|
{"relations": [{"head": "morphea", "relation": "adverse effect", "tail": "bromocriptine"}]}
|
( adverse effect : morphea , bromocriptine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : cardiac arrhythmias , amphotericin B ) ; ( adverse effect : mortality , amphotericin B )",
"id": "22",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : cardiac arrhythmias , amphotericin B ) ; ( adverse effect : mortality , amphotericin B )",
"output_json": "{\"relations\": [{\"head\": \"cardiac arrhythmias\", \"relation\": \"adverse effect\", \"tail\": \"amphotericin B\"}, {\"head\": \"mortality\", \"relation\": \"adverse effect\", \"tail\": \"amphotericin B\"}]}",
"sentence": "Hydrocortisone may decrease the incidence of mortality associated with cardiac arrhythmias in children receiving amphotericin B overdoses ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Hydrocortisone may decrease the incidence of mortality associated with cardiac arrhythmias in children receiving amphotericin B overdoses .
### Output:
|
( adverse effect : cardiac arrhythmias , amphotericin B ) ; ( adverse effect : mortality , amphotericin B )
|
Option: adverse effect
|
{"relations": [{"head": "cardiac arrhythmias", "relation": "adverse effect", "tail": "amphotericin B"}, {"head": "mortality", "relation": "adverse effect", "tail": "amphotericin B"}]}
|
( adverse effect : cardiac arrhythmias , amphotericin B ) ; ( adverse effect : mortality , amphotericin B )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : severe hypoglycaemia , mefloquine )",
"id": "23",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : severe hypoglycaemia , mefloquine )",
"output_json": "{\"relations\": [{\"head\": \"severe hypoglycaemia\", \"relation\": \"adverse effect\", \"tail\": \"mefloquine\"}]}",
"sentence": "Clinicians who manage cachectic patients , particularly those with protracted diarrhoea and/or receiving anti - malarial drugs including mefloquine , should be aware of the risk of severe hypoglycaemia ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Clinicians who manage cachectic patients , particularly those with protracted diarrhoea and/or receiving anti - malarial drugs including mefloquine , should be aware of the risk of severe hypoglycaemia .
### Output:
|
( adverse effect : severe hypoglycaemia , mefloquine )
|
Option: adverse effect
|
{"relations": [{"head": "severe hypoglycaemia", "relation": "adverse effect", "tail": "mefloquine"}]}
|
( adverse effect : severe hypoglycaemia , mefloquine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : primary and secondary perforation of the bladder , epirubicin )",
"id": "24",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : primary and secondary perforation of the bladder , epirubicin )",
"output_json": "{\"relations\": [{\"head\": \"primary and secondary perforation of the bladder\", \"relation\": \"adverse effect\", \"tail\": \"epirubicin\"}]}",
"sentence": "MATERIALS AND METHODS : We present two cases of significant morbidity related to primary and secondary perforation of the bladder following two instillations of epirubicin ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
MATERIALS AND METHODS : We present two cases of significant morbidity related to primary and secondary perforation of the bladder following two instillations of epirubicin .
### Output:
|
( adverse effect : primary and secondary perforation of the bladder , epirubicin )
|
Option: adverse effect
|
{"relations": [{"head": "primary and secondary perforation of the bladder", "relation": "adverse effect", "tail": "epirubicin"}]}
|
( adverse effect : primary and secondary perforation of the bladder , epirubicin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : nephropathy , Gold )",
"id": "25",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : nephropathy , Gold )",
"output_json": "{\"relations\": [{\"head\": \"nephropathy\", \"relation\": \"adverse effect\", \"tail\": \"Gold\"}]}",
"sentence": "Gold nephropathy : tissue analysis by X - ray fluorescent spectroscopy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Gold nephropathy : tissue analysis by X - ray fluorescent spectroscopy .
### Output:
|
( adverse effect : nephropathy , Gold )
|
Option: adverse effect
|
{"relations": [{"head": "nephropathy", "relation": "adverse effect", "tail": "Gold"}]}
|
( adverse effect : nephropathy , Gold )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : amnesia , Triazolam ) ; ( adverse effect : nocturnal bingeing , Triazolam )",
"id": "26",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : amnesia , Triazolam ) ; ( adverse effect : nocturnal bingeing , Triazolam )",
"output_json": "{\"relations\": [{\"head\": \"amnesia\", \"relation\": \"adverse effect\", \"tail\": \"Triazolam\"}, {\"head\": \"nocturnal bingeing\", \"relation\": \"adverse effect\", \"tail\": \"Triazolam\"}]}",
"sentence": "Triazolam - induced nocturnal bingeing with amnesia ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Triazolam - induced nocturnal bingeing with amnesia .
### Output:
|
( adverse effect : amnesia , Triazolam ) ; ( adverse effect : nocturnal bingeing , Triazolam )
|
Option: adverse effect
|
{"relations": [{"head": "amnesia", "relation": "adverse effect", "tail": "Triazolam"}, {"head": "nocturnal bingeing", "relation": "adverse effect", "tail": "Triazolam"}]}
|
( adverse effect : amnesia , Triazolam ) ; ( adverse effect : nocturnal bingeing , Triazolam )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : epiglottitis , prochlorperazine ) ; ( adverse effect : oro - pharyngeal dystonic reaction , prochlorperazine )",
"id": "27",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : epiglottitis , prochlorperazine ) ; ( adverse effect : oro - pharyngeal dystonic reaction , prochlorperazine )",
"output_json": "{\"relations\": [{\"head\": \"epiglottitis\", \"relation\": \"adverse effect\", \"tail\": \"prochlorperazine\"}, {\"head\": \"oro - pharyngeal dystonic reaction\", \"relation\": \"adverse effect\", \"tail\": \"prochlorperazine\"}]}",
"sentence": "This case presentation is of a patient who had the clinical appearance of epiglottitis , but actually had an oro - pharyngeal dystonic reaction to prochlorperazine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
This case presentation is of a patient who had the clinical appearance of epiglottitis , but actually had an oro - pharyngeal dystonic reaction to prochlorperazine .
### Output:
|
( adverse effect : epiglottitis , prochlorperazine ) ; ( adverse effect : oro - pharyngeal dystonic reaction , prochlorperazine )
|
Option: adverse effect
|
{"relations": [{"head": "epiglottitis", "relation": "adverse effect", "tail": "prochlorperazine"}, {"head": "oro - pharyngeal dystonic reaction", "relation": "adverse effect", "tail": "prochlorperazine"}]}
|
( adverse effect : epiglottitis , prochlorperazine ) ; ( adverse effect : oro - pharyngeal dystonic reaction , prochlorperazine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : proarrhythmic , amiodarone )",
"id": "28",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : proarrhythmic , amiodarone )",
"output_json": "{\"relations\": [{\"head\": \"proarrhythmic\", \"relation\": \"adverse effect\", \"tail\": \"amiodarone\"}]}",
"sentence": "The probable proarrhythmic action of amiodarone , although rare , is reviewed along with a discussion of the novel use of intravenous magnesium sulfate therapy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
The probable proarrhythmic action of amiodarone , although rare , is reviewed along with a discussion of the novel use of intravenous magnesium sulfate therapy .
### Output:
|
( adverse effect : proarrhythmic , amiodarone )
|
Option: adverse effect
|
{"relations": [{"head": "proarrhythmic", "relation": "adverse effect", "tail": "amiodarone"}]}
|
( adverse effect : proarrhythmic , amiodarone )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : abdominal right lower quadrant pain , cyclophosphamide ) ; ( adverse effect : cecal lymphoma , cyclophosphamide )",
"id": "29",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : abdominal right lower quadrant pain , cyclophosphamide ) ; ( adverse effect : cecal lymphoma , cyclophosphamide )",
"output_json": "{\"relations\": [{\"head\": \"abdominal right lower quadrant pain\", \"relation\": \"adverse effect\", \"tail\": \"cyclophosphamide\"}, {\"head\": \"cecal lymphoma\", \"relation\": \"adverse effect\", \"tail\": \"cyclophosphamide\"}]}",
"sentence": "Five and one - half years after the diagnosis of myeloma , while in remission on cyclophosphamide therapy , the patient experienced severe abdominal right lower quadrant pain due to a large cecal lymphoma ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Five and one - half years after the diagnosis of myeloma , while in remission on cyclophosphamide therapy , the patient experienced severe abdominal right lower quadrant pain due to a large cecal lymphoma .
### Output:
|
( adverse effect : abdominal right lower quadrant pain , cyclophosphamide ) ; ( adverse effect : cecal lymphoma , cyclophosphamide )
|
Option: adverse effect
|
{"relations": [{"head": "abdominal right lower quadrant pain", "relation": "adverse effect", "tail": "cyclophosphamide"}, {"head": "cecal lymphoma", "relation": "adverse effect", "tail": "cyclophosphamide"}]}
|
( adverse effect : abdominal right lower quadrant pain , cyclophosphamide ) ; ( adverse effect : cecal lymphoma , cyclophosphamide )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : cutaneous and hematologic toxicity , IL-2 )",
"id": "30",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : cutaneous and hematologic toxicity , IL-2 )",
"output_json": "{\"relations\": [{\"head\": \"cutaneous and hematologic toxicity\", \"relation\": \"adverse effect\", \"tail\": \"IL-2\"}]}",
"sentence": "OBJECTIVE : To report a case of cutaneous and hematologic toxicity in a patient treated with IL-2 ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
OBJECTIVE : To report a case of cutaneous and hematologic toxicity in a patient treated with IL-2 .
### Output:
|
( adverse effect : cutaneous and hematologic toxicity , IL-2 )
|
Option: adverse effect
|
{"relations": [{"head": "cutaneous and hematologic toxicity", "relation": "adverse effect", "tail": "IL-2"}]}
|
( adverse effect : cutaneous and hematologic toxicity , IL-2 )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : lupus erythematosus , Sulfasalazine )",
"id": "31",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : lupus erythematosus , Sulfasalazine )",
"output_json": "{\"relations\": [{\"head\": \"lupus erythematosus\", \"relation\": \"adverse effect\", \"tail\": \"Sulfasalazine\"}]}",
"sentence": "Sulfasalazine - induced lupus erythematosus ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Sulfasalazine - induced lupus erythematosus .
### Output:
|
( adverse effect : lupus erythematosus , Sulfasalazine )
|
Option: adverse effect
|
{"relations": [{"head": "lupus erythematosus", "relation": "adverse effect", "tail": "Sulfasalazine"}]}
|
( adverse effect : lupus erythematosus , Sulfasalazine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Nephrotic syndrome , interferon - beta-1b )",
"id": "32",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Nephrotic syndrome , interferon - beta-1b )",
"output_json": "{\"relations\": [{\"head\": \"Nephrotic syndrome\", \"relation\": \"adverse effect\", \"tail\": \"interferon - beta-1b\"}]}",
"sentence": "Nephrotic syndrome associated with interferon - beta-1b therapy for multiple sclerosis ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Nephrotic syndrome associated with interferon - beta-1b therapy for multiple sclerosis .
### Output:
|
( adverse effect : Nephrotic syndrome , interferon - beta-1b )
|
Option: adverse effect
|
{"relations": [{"head": "Nephrotic syndrome", "relation": "adverse effect", "tail": "interferon - beta-1b"}]}
|
( adverse effect : Nephrotic syndrome , interferon - beta-1b )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : symptomatic methemoglobinemia , Depakote ) ; ( adverse effect : symptomatic methemoglobinemia , divalproex sodium )",
"id": "33",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : symptomatic methemoglobinemia , Depakote ) ; ( adverse effect : symptomatic methemoglobinemia , divalproex sodium )",
"output_json": "{\"relations\": [{\"head\": \"symptomatic methemoglobinemia\", \"relation\": \"adverse effect\", \"tail\": \"Depakote\"}, {\"head\": \"symptomatic methemoglobinemia\", \"relation\": \"adverse effect\", \"tail\": \"divalproex sodium\"}]}",
"sentence": "We report for the first time the development of symptomatic methemoglobinemia after an acute ingestion of divalproex sodium ( Depakote ) , resulting in serum concentrations 10 times greater than the therapeutic range ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
We report for the first time the development of symptomatic methemoglobinemia after an acute ingestion of divalproex sodium ( Depakote ) , resulting in serum concentrations 10 times greater than the therapeutic range .
### Output:
|
( adverse effect : symptomatic methemoglobinemia , Depakote ) ; ( adverse effect : symptomatic methemoglobinemia , divalproex sodium )
|
Option: adverse effect
|
{"relations": [{"head": "symptomatic methemoglobinemia", "relation": "adverse effect", "tail": "Depakote"}, {"head": "symptomatic methemoglobinemia", "relation": "adverse effect", "tail": "divalproex sodium"}]}
|
( adverse effect : symptomatic methemoglobinemia , Depakote ) ; ( adverse effect : symptomatic methemoglobinemia , divalproex sodium )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : dedifferentiation of the adipocytes , insulin ) ; ( adverse effect : hyperproduction of TNF - alpha , insulin )",
"id": "34",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : dedifferentiation of the adipocytes , insulin ) ; ( adverse effect : hyperproduction of TNF - alpha , insulin )",
"output_json": "{\"relations\": [{\"head\": \"dedifferentiation of the adipocytes\", \"relation\": \"adverse effect\", \"tail\": \"insulin\"}, {\"head\": \"hyperproduction of TNF - alpha\", \"relation\": \"adverse effect\", \"tail\": \"insulin\"}]}",
"sentence": "CONCLUSIONS : In our reported case , a local hyperproduction of TNF - alpha from macrophages that was induced by the injected insulin could explain the dedifferentiation of the adipocytes of the subcutaneous tissue and the reversion that was induced by the local injection of dexamethasone ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
CONCLUSIONS : In our reported case , a local hyperproduction of TNF - alpha from macrophages that was induced by the injected insulin could explain the dedifferentiation of the adipocytes of the subcutaneous tissue and the reversion that was induced by the local injection of dexamethasone .
### Output:
|
( adverse effect : dedifferentiation of the adipocytes , insulin ) ; ( adverse effect : hyperproduction of TNF - alpha , insulin )
|
Option: adverse effect
|
{"relations": [{"head": "dedifferentiation of the adipocytes", "relation": "adverse effect", "tail": "insulin"}, {"head": "hyperproduction of TNF - alpha", "relation": "adverse effect", "tail": "insulin"}]}
|
( adverse effect : dedifferentiation of the adipocytes , insulin ) ; ( adverse effect : hyperproduction of TNF - alpha , insulin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Renal injury , anastrozole )",
"id": "35",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Renal injury , anastrozole )",
"output_json": "{\"relations\": [{\"head\": \"Renal injury\", \"relation\": \"adverse effect\", \"tail\": \"anastrozole\"}]}",
"sentence": "Renal injury due to anastrozole has not been published in the English literature ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Renal injury due to anastrozole has not been published in the English literature .
### Output:
|
( adverse effect : Renal injury , anastrozole )
|
Option: adverse effect
|
{"relations": [{"head": "Renal injury", "relation": "adverse effect", "tail": "anastrozole"}]}
|
( adverse effect : Renal injury , anastrozole )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : reversible granulocytopenia , procainamide )",
"id": "36",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : reversible granulocytopenia , procainamide )",
"output_json": "{\"relations\": [{\"head\": \"reversible granulocytopenia\", \"relation\": \"adverse effect\", \"tail\": \"procainamide\"}]}",
"sentence": "Sustained - release procainamide - induced reversible granulocytopenia after myocardial infarction ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Sustained - release procainamide - induced reversible granulocytopenia after myocardial infarction .
### Output:
|
( adverse effect : reversible granulocytopenia , procainamide )
|
Option: adverse effect
|
{"relations": [{"head": "reversible granulocytopenia", "relation": "adverse effect", "tail": "procainamide"}]}
|
( adverse effect : reversible granulocytopenia , procainamide )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : ataxia , carbamazepine ) ; ( adverse effect : ataxia , clarithromycin ) ; ( adverse effect : ataxia , clarithromycin ) ; ( adverse effect : dizziness , carbamazepine ) ; ( adverse effect : dizziness , clarithromycin ) ; ( adverse effect : dizziness , clarithromycin ) ; ( adverse effect : drowsiness , carbamazepine ) ; ( adverse effect : drowsiness , clarithromycin ) ; ( adverse effect : drowsiness , clarithromycin ) ; ( adverse effect : toxic symptoms , carbamazepine ) ; ( adverse effect : toxic symptoms , clarithromycin ) ; ( adverse effect : toxic symptoms , clarithromycin )",
"id": "37",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : ataxia , carbamazepine ) ; ( adverse effect : ataxia , clarithromycin ) ; ( adverse effect : ataxia , clarithromycin ) ; ( adverse effect : dizziness , carbamazepine ) ; ( adverse effect : dizziness , clarithromycin ) ; ( adverse effect : dizziness , clarithromycin ) ; ( adverse effect : drowsiness , carbamazepine ) ; ( adverse effect : drowsiness , clarithromycin ) ; ( adverse effect : drowsiness , clarithromycin ) ; ( adverse effect : toxic symptoms , carbamazepine ) ; ( adverse effect : toxic symptoms , clarithromycin ) ; ( adverse effect : toxic symptoms , clarithromycin )",
"output_json": "{\"relations\": [{\"head\": \"ataxia\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}, {\"head\": \"ataxia\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}, {\"head\": \"ataxia\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}, {\"head\": \"dizziness\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}, {\"head\": \"dizziness\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}, {\"head\": \"dizziness\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}, {\"head\": \"drowsiness\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}, {\"head\": \"drowsiness\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}, {\"head\": \"drowsiness\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}, {\"head\": \"toxic symptoms\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}, {\"head\": \"toxic symptoms\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}, {\"head\": \"toxic symptoms\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}]}",
"sentence": "During clarithromycin coadministration , four out of the seven patients developed moderate - to - severe toxic symptoms of carbamazepine , such as drowsiness , dizziness , and ataxia , which resolved within 5 days after clarithromycin discontinuation ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
During clarithromycin coadministration , four out of the seven patients developed moderate - to - severe toxic symptoms of carbamazepine , such as drowsiness , dizziness , and ataxia , which resolved within 5 days after clarithromycin discontinuation .
### Output:
|
( adverse effect : ataxia , carbamazepine ) ; ( adverse effect : ataxia , clarithromycin ) ; ( adverse effect : ataxia , clarithromycin ) ; ( adverse effect : dizziness , carbamazepine ) ; ( adverse effect : dizziness , clarithromycin ) ; ( adverse effect : dizziness , clarithromycin ) ; ( adverse effect : drowsiness , carbamazepine ) ; ( adverse effect : drowsiness , clarithromycin ) ; ( adverse effect : drowsiness , clarithromycin ) ; ( adverse effect : toxic symptoms , carbamazepine ) ; ( adverse effect : toxic symptoms , clarithromycin ) ; ( adverse effect : toxic symptoms , clarithromycin )
|
Option: adverse effect
|
{"relations": [{"head": "ataxia", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "ataxia", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "ataxia", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "dizziness", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "dizziness", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "dizziness", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "drowsiness", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "drowsiness", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "drowsiness", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "toxic symptoms", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "toxic symptoms", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "toxic symptoms", "relation": "adverse effect", "tail": "clarithromycin"}]}
|
( adverse effect : ataxia , carbamazepine ) ; ( adverse effect : ataxia , clarithromycin ) ; ( adverse effect : ataxia , clarithromycin ) ; ( adverse effect : dizziness , carbamazepine ) ; ( adverse effect : dizziness , clarithromycin ) ; ( adverse effect : dizziness , clarithromycin ) ; ( adverse effect : drowsiness , carbamazepine ) ; ( adverse effect : drowsiness , clarithromycin ) ; ( adverse effect : drowsiness , clarithromycin ) ; ( adverse effect : toxic symptoms , carbamazepine ) ; ( adverse effect : toxic symptoms , clarithromycin ) ; ( adverse effect : toxic symptoms , clarithromycin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : nephrotoxicity , cyclosporine )",
"id": "38",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : nephrotoxicity , cyclosporine )",
"output_json": "{\"relations\": [{\"head\": \"nephrotoxicity\", \"relation\": \"adverse effect\", \"tail\": \"cyclosporine\"}]}",
"sentence": "However , cyclosporine dependency is associated with the risk of nephrotoxicity ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
However , cyclosporine dependency is associated with the risk of nephrotoxicity .
### Output:
|
( adverse effect : nephrotoxicity , cyclosporine )
|
Option: adverse effect
|
{"relations": [{"head": "nephrotoxicity", "relation": "adverse effect", "tail": "cyclosporine"}]}
|
( adverse effect : nephrotoxicity , cyclosporine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute hemorrhagic gastritis , AZ ) ; ( adverse effect : AZ intoxication , AZ )",
"id": "39",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : acute hemorrhagic gastritis , AZ ) ; ( adverse effect : AZ intoxication , AZ )",
"output_json": "{\"relations\": [{\"head\": \"acute hemorrhagic gastritis\", \"relation\": \"adverse effect\", \"tail\": \"AZ\"}, {\"head\": \"AZ intoxication\", \"relation\": \"adverse effect\", \"tail\": \"AZ\"}]}",
"sentence": "We experienced a case of chronic renal failure in a patient suffering from acute hemorrhagic gastritis associated with AZ intoxication ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
We experienced a case of chronic renal failure in a patient suffering from acute hemorrhagic gastritis associated with AZ intoxication .
### Output:
|
( adverse effect : acute hemorrhagic gastritis , AZ ) ; ( adverse effect : AZ intoxication , AZ )
|
Option: adverse effect
|
{"relations": [{"head": "acute hemorrhagic gastritis", "relation": "adverse effect", "tail": "AZ"}, {"head": "AZ intoxication", "relation": "adverse effect", "tail": "AZ"}]}
|
( adverse effect : acute hemorrhagic gastritis , AZ ) ; ( adverse effect : AZ intoxication , AZ )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : life - threatening complications , 5-FU )",
"id": "40",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : life - threatening complications , 5-FU )",
"output_json": "{\"relations\": [{\"head\": \"life - threatening complications\", \"relation\": \"adverse effect\", \"tail\": \"5-FU\"}]}",
"sentence": "We now report the first known cancer patient who developed life - threatening complications after treatment with topical 5-FU and was shown subsequently to have profound DPD deficiency ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
We now report the first known cancer patient who developed life - threatening complications after treatment with topical 5-FU and was shown subsequently to have profound DPD deficiency .
### Output:
|
( adverse effect : life - threatening complications , 5-FU )
|
Option: adverse effect
|
{"relations": [{"head": "life - threatening complications", "relation": "adverse effect", "tail": "5-FU"}]}
|
( adverse effect : life - threatening complications , 5-FU )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : neurologic disease , penicillamine ) ; ( adverse effect : neurologic worsening , penicillamine )",
"id": "41",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : neurologic disease , penicillamine ) ; ( adverse effect : neurologic worsening , penicillamine )",
"output_json": "{\"relations\": [{\"head\": \"neurologic disease\", \"relation\": \"adverse effect\", \"tail\": \"penicillamine\"}, {\"head\": \"neurologic worsening\", \"relation\": \"adverse effect\", \"tail\": \"penicillamine\"}]}",
"sentence": "To develop information on the relative rarity or frequency of neurologic worsening with the initiation of penicillamine therapy , we conducted a retrospective survey of 25 additional patients with Wilson 's disease who met the criteria of presenting with neurologic disease and having been treated with penicillamine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
To develop information on the relative rarity or frequency of neurologic worsening with the initiation of penicillamine therapy , we conducted a retrospective survey of 25 additional patients with Wilson 's disease who met the criteria of presenting with neurologic disease and having been treated with penicillamine .
### Output:
|
( adverse effect : neurologic disease , penicillamine ) ; ( adverse effect : neurologic worsening , penicillamine )
|
Option: adverse effect
|
{"relations": [{"head": "neurologic disease", "relation": "adverse effect", "tail": "penicillamine"}, {"head": "neurologic worsening", "relation": "adverse effect", "tail": "penicillamine"}]}
|
( adverse effect : neurologic disease , penicillamine ) ; ( adverse effect : neurologic worsening , penicillamine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Vitamin K deficiency , Cephalosporins )",
"id": "42",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Vitamin K deficiency , Cephalosporins )",
"output_json": "{\"relations\": [{\"head\": \"Vitamin K deficiency\", \"relation\": \"adverse effect\", \"tail\": \"Cephalosporins\"}]}",
"sentence": "Cephalosporins are most likely associated with Vitamin K deficiency ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Cephalosporins are most likely associated with Vitamin K deficiency .
### Output:
|
( adverse effect : Vitamin K deficiency , Cephalosporins )
|
Option: adverse effect
|
{"relations": [{"head": "Vitamin K deficiency", "relation": "adverse effect", "tail": "Cephalosporins"}]}
|
( adverse effect : Vitamin K deficiency , Cephalosporins )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Multiple seizures , bupropion )",
"id": "43",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Multiple seizures , bupropion )",
"output_json": "{\"relations\": [{\"head\": \"Multiple seizures\", \"relation\": \"adverse effect\", \"tail\": \"bupropion\"}]}",
"sentence": "Multiple seizures after bupropion overdose in a small child ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Multiple seizures after bupropion overdose in a small child .
### Output:
|
( adverse effect : Multiple seizures , bupropion )
|
Option: adverse effect
|
{"relations": [{"head": "Multiple seizures", "relation": "adverse effect", "tail": "bupropion"}]}
|
( adverse effect : Multiple seizures , bupropion )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : histological abnormalities of the glomerulus , IFN - beta )",
"id": "44",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : histological abnormalities of the glomerulus , IFN - beta )",
"output_json": "{\"relations\": [{\"head\": \"histological abnormalities of the glomerulus\", \"relation\": \"adverse effect\", \"tail\": \"IFN - beta\"}]}",
"sentence": "To our knowledge this is the first report that demonstrates histological abnormalities of the glomerulus associated with postoperative IFN - beta therapy for the malignant melanoma ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
To our knowledge this is the first report that demonstrates histological abnormalities of the glomerulus associated with postoperative IFN - beta therapy for the malignant melanoma .
### Output:
|
( adverse effect : histological abnormalities of the glomerulus , IFN - beta )
|
Option: adverse effect
|
{"relations": [{"head": "histological abnormalities of the glomerulus", "relation": "adverse effect", "tail": "IFN - beta"}]}
|
( adverse effect : histological abnormalities of the glomerulus , IFN - beta )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hyperandrogenism , sodium valproate ) ; ( adverse effect : menstrual disorders , sodium valproate ) ; ( adverse effect : polycystic ovaries , sodium valproate ) ; ( adverse effect : Reproductive endocrine disorders , sodium valproate )",
"id": "45",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : hyperandrogenism , sodium valproate ) ; ( adverse effect : menstrual disorders , sodium valproate ) ; ( adverse effect : polycystic ovaries , sodium valproate ) ; ( adverse effect : Reproductive endocrine disorders , sodium valproate )",
"output_json": "{\"relations\": [{\"head\": \"hyperandrogenism\", \"relation\": \"adverse effect\", \"tail\": \"sodium valproate\"}, {\"head\": \"menstrual disorders\", \"relation\": \"adverse effect\", \"tail\": \"sodium valproate\"}, {\"head\": \"polycystic ovaries\", \"relation\": \"adverse effect\", \"tail\": \"sodium valproate\"}, {\"head\": \"Reproductive endocrine disorders\", \"relation\": \"adverse effect\", \"tail\": \"sodium valproate\"}]}",
"sentence": "BACKGROUND : Reproductive endocrine disorders characterized by menstrual disorders , polycystic ovaries , and hyperandrogenism seem to be common among women treated with sodium valproate for epilepsy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
BACKGROUND : Reproductive endocrine disorders characterized by menstrual disorders , polycystic ovaries , and hyperandrogenism seem to be common among women treated with sodium valproate for epilepsy .
### Output:
|
( adverse effect : hyperandrogenism , sodium valproate ) ; ( adverse effect : menstrual disorders , sodium valproate ) ; ( adverse effect : polycystic ovaries , sodium valproate ) ; ( adverse effect : Reproductive endocrine disorders , sodium valproate )
|
Option: adverse effect
|
{"relations": [{"head": "hyperandrogenism", "relation": "adverse effect", "tail": "sodium valproate"}, {"head": "menstrual disorders", "relation": "adverse effect", "tail": "sodium valproate"}, {"head": "polycystic ovaries", "relation": "adverse effect", "tail": "sodium valproate"}, {"head": "Reproductive endocrine disorders", "relation": "adverse effect", "tail": "sodium valproate"}]}
|
( adverse effect : hyperandrogenism , sodium valproate ) ; ( adverse effect : menstrual disorders , sodium valproate ) ; ( adverse effect : polycystic ovaries , sodium valproate ) ; ( adverse effect : Reproductive endocrine disorders , sodium valproate )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : neuropathic side effects , thalidomide )",
"id": "46",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : neuropathic side effects , thalidomide )",
"output_json": "{\"relations\": [{\"head\": \"neuropathic side effects\", \"relation\": \"adverse effect\", \"tail\": \"thalidomide\"}]}",
"sentence": "However , in order to avoid neuropathic side effects , patients under thalidomide therapy should be monitored every 6 months with nerve conduction studies while taking the drug ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
However , in order to avoid neuropathic side effects , patients under thalidomide therapy should be monitored every 6 months with nerve conduction studies while taking the drug .
### Output:
|
( adverse effect : neuropathic side effects , thalidomide )
|
Option: adverse effect
|
{"relations": [{"head": "neuropathic side effects", "relation": "adverse effect", "tail": "thalidomide"}]}
|
( adverse effect : neuropathic side effects , thalidomide )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : sub - acute neurotoxicity , methotrexate )",
"id": "47",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : sub - acute neurotoxicity , methotrexate )",
"output_json": "{\"relations\": [{\"head\": \"sub - acute neurotoxicity\", \"relation\": \"adverse effect\", \"tail\": \"methotrexate\"}]}",
"sentence": "Conventional and diffusion - weighted MRI findings of methotrexate related sub - acute neurotoxicity ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Conventional and diffusion - weighted MRI findings of methotrexate related sub - acute neurotoxicity .
### Output:
|
( adverse effect : sub - acute neurotoxicity , methotrexate )
|
Option: adverse effect
|
{"relations": [{"head": "sub - acute neurotoxicity", "relation": "adverse effect", "tail": "methotrexate"}]}
|
( adverse effect : sub - acute neurotoxicity , methotrexate )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : type 1 diabetes mellitus , recombinant alpha-2b peginterferon ) ; ( adverse effect : type 1 diabetes mellitus , ribavirin )",
"id": "48",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : type 1 diabetes mellitus , recombinant alpha-2b peginterferon ) ; ( adverse effect : type 1 diabetes mellitus , ribavirin )",
"output_json": "{\"relations\": [{\"head\": \"type 1 diabetes mellitus\", \"relation\": \"adverse effect\", \"tail\": \"recombinant alpha-2b peginterferon\"}, {\"head\": \"type 1 diabetes mellitus\", \"relation\": \"adverse effect\", \"tail\": \"ribavirin\"}]}",
"sentence": "The clinical course suggested that recombinant alpha-2b peginterferon plus ribavirin provoked type 1 diabetes mellitus , therefore , in patients who are candidates for interferon therapy the presence of pancreatic autoantibodies and the fasting plasma glucose level should be investigated before and during treatment ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
The clinical course suggested that recombinant alpha-2b peginterferon plus ribavirin provoked type 1 diabetes mellitus , therefore , in patients who are candidates for interferon therapy the presence of pancreatic autoantibodies and the fasting plasma glucose level should be investigated before and during treatment .
### Output:
|
( adverse effect : type 1 diabetes mellitus , recombinant alpha-2b peginterferon ) ; ( adverse effect : type 1 diabetes mellitus , ribavirin )
|
Option: adverse effect
|
{"relations": [{"head": "type 1 diabetes mellitus", "relation": "adverse effect", "tail": "recombinant alpha-2b peginterferon"}, {"head": "type 1 diabetes mellitus", "relation": "adverse effect", "tail": "ribavirin"}]}
|
( adverse effect : type 1 diabetes mellitus , recombinant alpha-2b peginterferon ) ; ( adverse effect : type 1 diabetes mellitus , ribavirin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : anaphylactoid reaction , Gelofusine )",
"id": "49",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : anaphylactoid reaction , Gelofusine )",
"output_json": "{\"relations\": [{\"head\": \"anaphylactoid reaction\", \"relation\": \"adverse effect\", \"tail\": \"Gelofusine\"}]}",
"sentence": "A case of anaphylactoid reaction due solely to the use of Gelofusine in a patient with non - haemorrhagic hypovolaemia is presented , with a discussion on the management and the use of allergy identification jewellery ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
A case of anaphylactoid reaction due solely to the use of Gelofusine in a patient with non - haemorrhagic hypovolaemia is presented , with a discussion on the management and the use of allergy identification jewellery .
### Output:
|
( adverse effect : anaphylactoid reaction , Gelofusine )
|
Option: adverse effect
|
{"relations": [{"head": "anaphylactoid reaction", "relation": "adverse effect", "tail": "Gelofusine"}]}
|
( adverse effect : anaphylactoid reaction , Gelofusine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : nephrosis , interferon )",
"id": "50",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : nephrosis , interferon )",
"output_json": "{\"relations\": [{\"head\": \"nephrosis\", \"relation\": \"adverse effect\", \"tail\": \"interferon\"}]}",
"sentence": "SUBSEQUENT COURSE : The nephrosis resolved almost completely once the interferon was stopped and after immunosuppressive treatment ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
SUBSEQUENT COURSE : The nephrosis resolved almost completely once the interferon was stopped and after immunosuppressive treatment .
### Output:
|
( adverse effect : nephrosis , interferon )
|
Option: adverse effect
|
{"relations": [{"head": "nephrosis", "relation": "adverse effect", "tail": "interferon"}]}
|
( adverse effect : nephrosis , interferon )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : CDI , lithium ) ; ( adverse effect : central diabetes insipidus , lithium )",
"id": "51",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : CDI , lithium ) ; ( adverse effect : central diabetes insipidus , lithium )",
"output_json": "{\"relations\": [{\"head\": \"CDI\", \"relation\": \"adverse effect\", \"tail\": \"lithium\"}, {\"head\": \"central diabetes insipidus\", \"relation\": \"adverse effect\", \"tail\": \"lithium\"}]}",
"sentence": "The association of central diabetes insipidus ( CDI ) with lithium use is rare ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
The association of central diabetes insipidus ( CDI ) with lithium use is rare .
### Output:
|
( adverse effect : CDI , lithium ) ; ( adverse effect : central diabetes insipidus , lithium )
|
Option: adverse effect
|
{"relations": [{"head": "CDI", "relation": "adverse effect", "tail": "lithium"}, {"head": "central diabetes insipidus", "relation": "adverse effect", "tail": "lithium"}]}
|
( adverse effect : CDI , lithium ) ; ( adverse effect : central diabetes insipidus , lithium )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : central nervous system depression , brimonidine )",
"id": "52",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : central nervous system depression , brimonidine )",
"output_json": "{\"relations\": [{\"head\": \"central nervous system depression\", \"relation\": \"adverse effect\", \"tail\": \"brimonidine\"}]}",
"sentence": "Apparent central nervous system depression in infants after the use of topical brimonidine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Apparent central nervous system depression in infants after the use of topical brimonidine .
### Output:
|
( adverse effect : central nervous system depression , brimonidine )
|
Option: adverse effect
|
{"relations": [{"head": "central nervous system depression", "relation": "adverse effect", "tail": "brimonidine"}]}
|
( adverse effect : central nervous system depression , brimonidine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : ATIN , pranlukast ) ; ( adverse effect : ATIN , pranlukast ) ; ( adverse effect : hypersensitivity reaction , pranlukast ) ; ( adverse effect : hypersensitivity reaction , pranlukast )",
"id": "53",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : ATIN , pranlukast ) ; ( adverse effect : ATIN , pranlukast ) ; ( adverse effect : hypersensitivity reaction , pranlukast ) ; ( adverse effect : hypersensitivity reaction , pranlukast )",
"output_json": "{\"relations\": [{\"head\": \"ATIN\", \"relation\": \"adverse effect\", \"tail\": \"pranlukast\"}, {\"head\": \"ATIN\", \"relation\": \"adverse effect\", \"tail\": \"pranlukast\"}, {\"head\": \"hypersensitivity reaction\", \"relation\": \"adverse effect\", \"tail\": \"pranlukast\"}, {\"head\": \"hypersensitivity reaction\", \"relation\": \"adverse effect\", \"tail\": \"pranlukast\"}]}",
"sentence": "The case demonstrates that hypersensitivity reaction to pranlukast and resultant ATIN is possible , and that periodic urine testing in patients receiving pranlukast should be considered ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
The case demonstrates that hypersensitivity reaction to pranlukast and resultant ATIN is possible , and that periodic urine testing in patients receiving pranlukast should be considered .
### Output:
|
( adverse effect : ATIN , pranlukast ) ; ( adverse effect : ATIN , pranlukast ) ; ( adverse effect : hypersensitivity reaction , pranlukast ) ; ( adverse effect : hypersensitivity reaction , pranlukast )
|
Option: adverse effect
|
{"relations": [{"head": "ATIN", "relation": "adverse effect", "tail": "pranlukast"}, {"head": "ATIN", "relation": "adverse effect", "tail": "pranlukast"}, {"head": "hypersensitivity reaction", "relation": "adverse effect", "tail": "pranlukast"}, {"head": "hypersensitivity reaction", "relation": "adverse effect", "tail": "pranlukast"}]}
|
( adverse effect : ATIN , pranlukast ) ; ( adverse effect : ATIN , pranlukast ) ; ( adverse effect : hypersensitivity reaction , pranlukast ) ; ( adverse effect : hypersensitivity reaction , pranlukast )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : bilateral ptosis , vincristine )",
"id": "54",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : bilateral ptosis , vincristine )",
"output_json": "{\"relations\": [{\"head\": \"bilateral ptosis\", \"relation\": \"adverse effect\", \"tail\": \"vincristine\"}]}",
"sentence": "Five days after the fourth dose of vincristine , she presented with bilateral ptosis ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Five days after the fourth dose of vincristine , she presented with bilateral ptosis .
### Output:
|
( adverse effect : bilateral ptosis , vincristine )
|
Option: adverse effect
|
{"relations": [{"head": "bilateral ptosis", "relation": "adverse effect", "tail": "vincristine"}]}
|
( adverse effect : bilateral ptosis , vincristine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : polyserositis , Clozapine )",
"id": "55",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : polyserositis , Clozapine )",
"output_json": "{\"relations\": [{\"head\": \"polyserositis\", \"relation\": \"adverse effect\", \"tail\": \"Clozapine\"}]}",
"sentence": "Clozapine induced polyserositis ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Clozapine induced polyserositis .
### Output:
|
( adverse effect : polyserositis , Clozapine )
|
Option: adverse effect
|
{"relations": [{"head": "polyserositis", "relation": "adverse effect", "tail": "Clozapine"}]}
|
( adverse effect : polyserositis , Clozapine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : flare - up , goserelin acetate ) ; ( adverse effect : severe dyspnea , goserelin acetate ) ; ( adverse effect : worsening pleuritis carcinomatosa , goserelin acetate )",
"id": "56",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : flare - up , goserelin acetate ) ; ( adverse effect : severe dyspnea , goserelin acetate ) ; ( adverse effect : worsening pleuritis carcinomatosa , goserelin acetate )",
"output_json": "{\"relations\": [{\"head\": \"flare - up\", \"relation\": \"adverse effect\", \"tail\": \"goserelin acetate\"}, {\"head\": \"severe dyspnea\", \"relation\": \"adverse effect\", \"tail\": \"goserelin acetate\"}, {\"head\": \"worsening pleuritis carcinomatosa\", \"relation\": \"adverse effect\", \"tail\": \"goserelin acetate\"}]}",
"sentence": "Four days after the initial injection of 3.6 mg of goserelin acetate , severe dyspnea developed due to worsening pleuritis carcinomatosa , which was considered as a flare - up ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Four days after the initial injection of 3.6 mg of goserelin acetate , severe dyspnea developed due to worsening pleuritis carcinomatosa , which was considered as a flare - up .
### Output:
|
( adverse effect : flare - up , goserelin acetate ) ; ( adverse effect : severe dyspnea , goserelin acetate ) ; ( adverse effect : worsening pleuritis carcinomatosa , goserelin acetate )
|
Option: adverse effect
|
{"relations": [{"head": "flare - up", "relation": "adverse effect", "tail": "goserelin acetate"}, {"head": "severe dyspnea", "relation": "adverse effect", "tail": "goserelin acetate"}, {"head": "worsening pleuritis carcinomatosa", "relation": "adverse effect", "tail": "goserelin acetate"}]}
|
( adverse effect : flare - up , goserelin acetate ) ; ( adverse effect : severe dyspnea , goserelin acetate ) ; ( adverse effect : worsening pleuritis carcinomatosa , goserelin acetate )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : neutropenia , olanzapine ) ; ( adverse effect : neutropenia , thiazide )",
"id": "57",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : neutropenia , olanzapine ) ; ( adverse effect : neutropenia , thiazide )",
"output_json": "{\"relations\": [{\"head\": \"neutropenia\", \"relation\": \"adverse effect\", \"tail\": \"olanzapine\"}, {\"head\": \"neutropenia\", \"relation\": \"adverse effect\", \"tail\": \"thiazide\"}]}",
"sentence": "Second , we report a case of neutropenia , which proved to be fatal in a schizophrenia patient receiving olanzapine and thiazide ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Second , we report a case of neutropenia , which proved to be fatal in a schizophrenia patient receiving olanzapine and thiazide .
### Output:
|
( adverse effect : neutropenia , olanzapine ) ; ( adverse effect : neutropenia , thiazide )
|
Option: adverse effect
|
{"relations": [{"head": "neutropenia", "relation": "adverse effect", "tail": "olanzapine"}, {"head": "neutropenia", "relation": "adverse effect", "tail": "thiazide"}]}
|
( adverse effect : neutropenia , olanzapine ) ; ( adverse effect : neutropenia , thiazide )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : squamous cell carcinoma , psoralens )",
"id": "58",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : squamous cell carcinoma , psoralens )",
"output_json": "{\"relations\": [{\"head\": \"squamous cell carcinoma\", \"relation\": \"adverse effect\", \"tail\": \"psoralens\"}]}",
"sentence": "In two patients with mycosis fungoides , a squamous cell carcinoma developed during therapy with psoralens plus long - wave ultraviolet radiation ( PUVA ) ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
In two patients with mycosis fungoides , a squamous cell carcinoma developed during therapy with psoralens plus long - wave ultraviolet radiation ( PUVA ) .
### Output:
|
( adverse effect : squamous cell carcinoma , psoralens )
|
Option: adverse effect
|
{"relations": [{"head": "squamous cell carcinoma", "relation": "adverse effect", "tail": "psoralens"}]}
|
( adverse effect : squamous cell carcinoma , psoralens )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute tubulointerstitial nephritis , Flurbiprofen )",
"id": "59",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : acute tubulointerstitial nephritis , Flurbiprofen )",
"output_json": "{\"relations\": [{\"head\": \"acute tubulointerstitial nephritis\", \"relation\": \"adverse effect\", \"tail\": \"Flurbiprofen\"}]}",
"sentence": "Flurbiprofen - associated acute tubulointerstitial nephritis ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Flurbiprofen - associated acute tubulointerstitial nephritis .
### Output:
|
( adverse effect : acute tubulointerstitial nephritis , Flurbiprofen )
|
Option: adverse effect
|
{"relations": [{"head": "acute tubulointerstitial nephritis", "relation": "adverse effect", "tail": "Flurbiprofen"}]}
|
( adverse effect : acute tubulointerstitial nephritis , Flurbiprofen )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : anaphylactoid reaction , zomepirac )",
"id": "60",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : anaphylactoid reaction , zomepirac )",
"output_json": "{\"relations\": [{\"head\": \"anaphylactoid reaction\", \"relation\": \"adverse effect\", \"tail\": \"zomepirac\"}]}",
"sentence": "The mechanism of anaphylactoid reaction to zomepirac in this case , therefore , remains unclear ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
The mechanism of anaphylactoid reaction to zomepirac in this case , therefore , remains unclear .
### Output:
|
( adverse effect : anaphylactoid reaction , zomepirac )
|
Option: adverse effect
|
{"relations": [{"head": "anaphylactoid reaction", "relation": "adverse effect", "tail": "zomepirac"}]}
|
( adverse effect : anaphylactoid reaction , zomepirac )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : central nervous toxicity , L - asparaginase ) ; ( adverse effect : seizures , L - asparaginase )",
"id": "61",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : central nervous toxicity , L - asparaginase ) ; ( adverse effect : seizures , L - asparaginase )",
"output_json": "{\"relations\": [{\"head\": \"central nervous toxicity\", \"relation\": \"adverse effect\", \"tail\": \"L - asparaginase\"}, {\"head\": \"seizures\", \"relation\": \"adverse effect\", \"tail\": \"L - asparaginase\"}]}",
"sentence": "L - asparaginase - provoked seizures as singular expression of central nervous toxicity ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
L - asparaginase - provoked seizures as singular expression of central nervous toxicity .
### Output:
|
( adverse effect : central nervous toxicity , L - asparaginase ) ; ( adverse effect : seizures , L - asparaginase )
|
Option: adverse effect
|
{"relations": [{"head": "central nervous toxicity", "relation": "adverse effect", "tail": "L - asparaginase"}, {"head": "seizures", "relation": "adverse effect", "tail": "L - asparaginase"}]}
|
( adverse effect : central nervous toxicity , L - asparaginase ) ; ( adverse effect : seizures , L - asparaginase )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : intracranial bleeding , amprenavir )",
"id": "62",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : intracranial bleeding , amprenavir )",
"output_json": "{\"relations\": [{\"head\": \"intracranial bleeding\", \"relation\": \"adverse effect\", \"tail\": \"amprenavir\"}]}",
"sentence": "Possible linkage of amprenavir with intracranial bleeding in an HIV - infected hemophiliac ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Possible linkage of amprenavir with intracranial bleeding in an HIV - infected hemophiliac .
### Output:
|
( adverse effect : intracranial bleeding , amprenavir )
|
Option: adverse effect
|
{"relations": [{"head": "intracranial bleeding", "relation": "adverse effect", "tail": "amprenavir"}]}
|
( adverse effect : intracranial bleeding , amprenavir )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hyponatremia , desmopressin )",
"id": "63",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : hyponatremia , desmopressin )",
"output_json": "{\"relations\": [{\"head\": \"hyponatremia\", \"relation\": \"adverse effect\", \"tail\": \"desmopressin\"}]}",
"sentence": "Within 24 hours of fluid restriction and cessation of desmopressin , her symptoms and hyponatremia resolved ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Within 24 hours of fluid restriction and cessation of desmopressin , her symptoms and hyponatremia resolved .
### Output:
|
( adverse effect : hyponatremia , desmopressin )
|
Option: adverse effect
|
{"relations": [{"head": "hyponatremia", "relation": "adverse effect", "tail": "desmopressin"}]}
|
( adverse effect : hyponatremia , desmopressin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : ulcer , theophylline ) ; ( adverse effect : ulcer , theophylline )",
"id": "64",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : ulcer , theophylline ) ; ( adverse effect : ulcer , theophylline )",
"output_json": "{\"relations\": [{\"head\": \"ulcer\", \"relation\": \"adverse effect\", \"tail\": \"theophylline\"}, {\"head\": \"ulcer\", \"relation\": \"adverse effect\", \"tail\": \"theophylline\"}]}",
"sentence": "A study following large patient groups on theophylline and a combination of theophylline and steroids might clarify the risk of ulcer formation in patients being treated with these medications for asthma ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
A study following large patient groups on theophylline and a combination of theophylline and steroids might clarify the risk of ulcer formation in patients being treated with these medications for asthma .
### Output:
|
( adverse effect : ulcer , theophylline ) ; ( adverse effect : ulcer , theophylline )
|
Option: adverse effect
|
{"relations": [{"head": "ulcer", "relation": "adverse effect", "tail": "theophylline"}, {"head": "ulcer", "relation": "adverse effect", "tail": "theophylline"}]}
|
( adverse effect : ulcer , theophylline ) ; ( adverse effect : ulcer , theophylline )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute renal failure , mannitol ) ; ( adverse effect : ARF , mannitol )",
"id": "65",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : acute renal failure , mannitol ) ; ( adverse effect : ARF , mannitol )",
"output_json": "{\"relations\": [{\"head\": \"acute renal failure\", \"relation\": \"adverse effect\", \"tail\": \"mannitol\"}, {\"head\": \"ARF\", \"relation\": \"adverse effect\", \"tail\": \"mannitol\"}]}",
"sentence": "High - dose intravenous mannitol infusion in various clinical settings may result in acute renal failure ( ARF ) ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
High - dose intravenous mannitol infusion in various clinical settings may result in acute renal failure ( ARF ) .
### Output:
|
( adverse effect : acute renal failure , mannitol ) ; ( adverse effect : ARF , mannitol )
|
Option: adverse effect
|
{"relations": [{"head": "acute renal failure", "relation": "adverse effect", "tail": "mannitol"}, {"head": "ARF", "relation": "adverse effect", "tail": "mannitol"}]}
|
( adverse effect : acute renal failure , mannitol ) ; ( adverse effect : ARF , mannitol )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : bilateral avascular necrosis of the femoral heads , dexamethasone )",
"id": "66",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : bilateral avascular necrosis of the femoral heads , dexamethasone )",
"output_json": "{\"relations\": [{\"head\": \"bilateral avascular necrosis of the femoral heads\", \"relation\": \"adverse effect\", \"tail\": \"dexamethasone\"}]}",
"sentence": "This report details a case of bilateral avascular necrosis of the femoral heads in a patient receiving ' standard ' doses of dexamethasone as part of the antiemetic regimen used in cisplatin - based combination chemotherapy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
This report details a case of bilateral avascular necrosis of the femoral heads in a patient receiving ' standard ' doses of dexamethasone as part of the antiemetic regimen used in cisplatin - based combination chemotherapy .
### Output:
|
( adverse effect : bilateral avascular necrosis of the femoral heads , dexamethasone )
|
Option: adverse effect
|
{"relations": [{"head": "bilateral avascular necrosis of the femoral heads", "relation": "adverse effect", "tail": "dexamethasone"}]}
|
( adverse effect : bilateral avascular necrosis of the femoral heads , dexamethasone )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : grand mal seizures , amphotericin B )",
"id": "67",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : grand mal seizures , amphotericin B )",
"output_json": "{\"relations\": [{\"head\": \"grand mal seizures\", \"relation\": \"adverse effect\", \"tail\": \"amphotericin B\"}]}",
"sentence": "CASE SUMMARY : A 46-year - old African - American man experienced recurrent grand mal seizures during intravenous infusion of amphotericin B , then petit mal seizures as the infusion was stopped and the drug concentrations decreased with time ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
CASE SUMMARY : A 46-year - old African - American man experienced recurrent grand mal seizures during intravenous infusion of amphotericin B , then petit mal seizures as the infusion was stopped and the drug concentrations decreased with time .
### Output:
|
( adverse effect : grand mal seizures , amphotericin B )
|
Option: adverse effect
|
{"relations": [{"head": "grand mal seizures", "relation": "adverse effect", "tail": "amphotericin B"}]}
|
( adverse effect : grand mal seizures , amphotericin B )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : phototoxic reactions , psoralens )",
"id": "68",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : phototoxic reactions , psoralens )",
"output_json": "{\"relations\": [{\"head\": \"phototoxic reactions\", \"relation\": \"adverse effect\", \"tail\": \"psoralens\"}]}",
"sentence": "Because psoralens sensitize skin to ultraviolet A light , phototoxic reactions are the most frequent adverse effect of this treatment ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Because psoralens sensitize skin to ultraviolet A light , phototoxic reactions are the most frequent adverse effect of this treatment .
### Output:
|
( adverse effect : phototoxic reactions , psoralens )
|
Option: adverse effect
|
{"relations": [{"head": "phototoxic reactions", "relation": "adverse effect", "tail": "psoralens"}]}
|
( adverse effect : phototoxic reactions , psoralens )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : supravenous hyperpigmentation , CHOP )",
"id": "69",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : supravenous hyperpigmentation , CHOP )",
"output_json": "{\"relations\": [{\"head\": \"supravenous hyperpigmentation\", \"relation\": \"adverse effect\", \"tail\": \"CHOP\"}]}",
"sentence": "We report an unusual pattern of supravenous hyperpigmentation occurring after CHOP chemotherapy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
We report an unusual pattern of supravenous hyperpigmentation occurring after CHOP chemotherapy .
### Output:
|
( adverse effect : supravenous hyperpigmentation , CHOP )
|
Option: adverse effect
|
{"relations": [{"head": "supravenous hyperpigmentation", "relation": "adverse effect", "tail": "CHOP"}]}
|
( adverse effect : supravenous hyperpigmentation , CHOP )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : obsessional - like suicidal ideas and images , ketoconazole )",
"id": "70",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : obsessional - like suicidal ideas and images , ketoconazole )",
"output_json": "{\"relations\": [{\"head\": \"obsessional - like suicidal ideas and images\", \"relation\": \"adverse effect\", \"tail\": \"ketoconazole\"}]}",
"sentence": "The authors present a case study of a mentally healthy man who repeatedly experienced short - lived , obsessional - like suicidal ideas and images after ingestion of the anti - fungal drug ketoconazole ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
The authors present a case study of a mentally healthy man who repeatedly experienced short - lived , obsessional - like suicidal ideas and images after ingestion of the anti - fungal drug ketoconazole .
### Output:
|
( adverse effect : obsessional - like suicidal ideas and images , ketoconazole )
|
Option: adverse effect
|
{"relations": [{"head": "obsessional - like suicidal ideas and images", "relation": "adverse effect", "tail": "ketoconazole"}]}
|
( adverse effect : obsessional - like suicidal ideas and images , ketoconazole )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : anisocoria , scopolamine )",
"id": "71",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : anisocoria , scopolamine )",
"output_json": "{\"relations\": [{\"head\": \"anisocoria\", \"relation\": \"adverse effect\", \"tail\": \"scopolamine\"}]}",
"sentence": "After extensive neurological ' work up ' , we realized that the anisocoria was related to the transdermal scopolamine patch that we had prescribed for weaning off the opioid ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
After extensive neurological ' work up ' , we realized that the anisocoria was related to the transdermal scopolamine patch that we had prescribed for weaning off the opioid .
### Output:
|
( adverse effect : anisocoria , scopolamine )
|
Option: adverse effect
|
{"relations": [{"head": "anisocoria", "relation": "adverse effect", "tail": "scopolamine"}]}
|
( adverse effect : anisocoria , scopolamine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : SLE , rIFN - gamma )",
"id": "72",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : SLE , rIFN - gamma )",
"output_json": "{\"relations\": [{\"head\": \"SLE\", \"relation\": \"adverse effect\", \"tail\": \"rIFN - gamma\"}]}",
"sentence": "We assume that rIFN - gamma induced the de novo development of SLE in our patient ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
We assume that rIFN - gamma induced the de novo development of SLE in our patient .
### Output:
|
( adverse effect : SLE , rIFN - gamma )
|
Option: adverse effect
|
{"relations": [{"head": "SLE", "relation": "adverse effect", "tail": "rIFN - gamma"}]}
|
( adverse effect : SLE , rIFN - gamma )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Atrial fibrillation , methylprednisolone )",
"id": "73",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Atrial fibrillation , methylprednisolone )",
"output_json": "{\"relations\": [{\"head\": \"Atrial fibrillation\", \"relation\": \"adverse effect\", \"tail\": \"methylprednisolone\"}]}",
"sentence": "Atrial fibrillation following methylprednisolone pulse therapy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Atrial fibrillation following methylprednisolone pulse therapy .
### Output:
|
( adverse effect : Atrial fibrillation , methylprednisolone )
|
Option: adverse effect
|
{"relations": [{"head": "Atrial fibrillation", "relation": "adverse effect", "tail": "methylprednisolone"}]}
|
( adverse effect : Atrial fibrillation , methylprednisolone )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : erythema multiforme , griseofulvin )",
"id": "74",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : erythema multiforme , griseofulvin )",
"output_json": "{\"relations\": [{\"head\": \"erythema multiforme\", \"relation\": \"adverse effect\", \"tail\": \"griseofulvin\"}]}",
"sentence": "One patient with systemic lupus erythematosus developed erythema multiforme after taking griseofulvin ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
One patient with systemic lupus erythematosus developed erythema multiforme after taking griseofulvin .
### Output:
|
( adverse effect : erythema multiforme , griseofulvin )
|
Option: adverse effect
|
{"relations": [{"head": "erythema multiforme", "relation": "adverse effect", "tail": "griseofulvin"}]}
|
( adverse effect : erythema multiforme , griseofulvin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : leukopenia , carbamazepine ) ; ( adverse effect : leukopenia , phenytoin sodium )",
"id": "75",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : leukopenia , carbamazepine ) ; ( adverse effect : leukopenia , phenytoin sodium )",
"output_json": "{\"relations\": [{\"head\": \"leukopenia\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}, {\"head\": \"leukopenia\", \"relation\": \"adverse effect\", \"tail\": \"phenytoin sodium\"}]}",
"sentence": "She was receiving phenytoin sodium 300 mg / day ; carbamazepine 200 mg four times daily had been discontinued four days before admission because of leukopenia ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
She was receiving phenytoin sodium 300 mg / day ; carbamazepine 200 mg four times daily had been discontinued four days before admission because of leukopenia .
### Output:
|
( adverse effect : leukopenia , carbamazepine ) ; ( adverse effect : leukopenia , phenytoin sodium )
|
Option: adverse effect
|
{"relations": [{"head": "leukopenia", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "leukopenia", "relation": "adverse effect", "tail": "phenytoin sodium"}]}
|
( adverse effect : leukopenia , carbamazepine ) ; ( adverse effect : leukopenia , phenytoin sodium )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute hepatitis , gliclazide )",
"id": "76",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : acute hepatitis , gliclazide )",
"output_json": "{\"relations\": [{\"head\": \"acute hepatitis\", \"relation\": \"adverse effect\", \"tail\": \"gliclazide\"}]}",
"sentence": "We describe the case of acute hepatitis induced by gliclazide , a second generation sulfonylurea ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
We describe the case of acute hepatitis induced by gliclazide , a second generation sulfonylurea .
### Output:
|
( adverse effect : acute hepatitis , gliclazide )
|
Option: adverse effect
|
{"relations": [{"head": "acute hepatitis", "relation": "adverse effect", "tail": "gliclazide"}]}
|
( adverse effect : acute hepatitis , gliclazide )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : allergic reactions , capecitabine )",
"id": "77",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : allergic reactions , capecitabine )",
"output_json": "{\"relations\": [{\"head\": \"allergic reactions\", \"relation\": \"adverse effect\", \"tail\": \"capecitabine\"}]}",
"sentence": "OBJECTIVE : To report the safe use of fluorouracil in a patient with breast cancer who had allergic reactions to capecitabine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
OBJECTIVE : To report the safe use of fluorouracil in a patient with breast cancer who had allergic reactions to capecitabine .
### Output:
|
( adverse effect : allergic reactions , capecitabine )
|
Option: adverse effect
|
{"relations": [{"head": "allergic reactions", "relation": "adverse effect", "tail": "capecitabine"}]}
|
( adverse effect : allergic reactions , capecitabine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : ascites , busulphan ) ; ( adverse effect : jaundice , busulphan ) ; ( adverse effect : oesophageal varices , busulphan ) ; ( adverse effect : portal hypertension , busulphan )",
"id": "78",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : ascites , busulphan ) ; ( adverse effect : jaundice , busulphan ) ; ( adverse effect : oesophageal varices , busulphan ) ; ( adverse effect : portal hypertension , busulphan )",
"output_json": "{\"relations\": [{\"head\": \"ascites\", \"relation\": \"adverse effect\", \"tail\": \"busulphan\"}, {\"head\": \"jaundice\", \"relation\": \"adverse effect\", \"tail\": \"busulphan\"}, {\"head\": \"oesophageal varices\", \"relation\": \"adverse effect\", \"tail\": \"busulphan\"}, {\"head\": \"portal hypertension\", \"relation\": \"adverse effect\", \"tail\": \"busulphan\"}]}",
"sentence": "A patient with chronic myeloid leukaemia treated with busulphan for 4 - 5 years , developed signs of busulphan toxicity and portal hypertension with ascites , oesophageal varices and jaundice ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
A patient with chronic myeloid leukaemia treated with busulphan for 4 - 5 years , developed signs of busulphan toxicity and portal hypertension with ascites , oesophageal varices and jaundice .
### Output:
|
( adverse effect : ascites , busulphan ) ; ( adverse effect : jaundice , busulphan ) ; ( adverse effect : oesophageal varices , busulphan ) ; ( adverse effect : portal hypertension , busulphan )
|
Option: adverse effect
|
{"relations": [{"head": "ascites", "relation": "adverse effect", "tail": "busulphan"}, {"head": "jaundice", "relation": "adverse effect", "tail": "busulphan"}, {"head": "oesophageal varices", "relation": "adverse effect", "tail": "busulphan"}, {"head": "portal hypertension", "relation": "adverse effect", "tail": "busulphan"}]}
|
( adverse effect : ascites , busulphan ) ; ( adverse effect : jaundice , busulphan ) ; ( adverse effect : oesophageal varices , busulphan ) ; ( adverse effect : portal hypertension , busulphan )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : skeletal fluorosis , Niflumic acid )",
"id": "79",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : skeletal fluorosis , Niflumic acid )",
"output_json": "{\"relations\": [{\"head\": \"skeletal fluorosis\", \"relation\": \"adverse effect\", \"tail\": \"Niflumic acid\"}]}",
"sentence": "Niflumic acid - induced skeletal fluorosis : iatrogenic disease or therapeutic perspective for osteoporosis ?"
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Niflumic acid - induced skeletal fluorosis : iatrogenic disease or therapeutic perspective for osteoporosis ?
### Output:
|
( adverse effect : skeletal fluorosis , Niflumic acid )
|
Option: adverse effect
|
{"relations": [{"head": "skeletal fluorosis", "relation": "adverse effect", "tail": "Niflumic acid"}]}
|
( adverse effect : skeletal fluorosis , Niflumic acid )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Hyponatraemia , carbamazepine )",
"id": "80",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Hyponatraemia , carbamazepine )",
"output_json": "{\"relations\": [{\"head\": \"Hyponatraemia\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}]}",
"sentence": "Hyponatraemia developed after rechallenge with controlled release carbamazepine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Hyponatraemia developed after rechallenge with controlled release carbamazepine .
### Output:
|
( adverse effect : Hyponatraemia , carbamazepine )
|
Option: adverse effect
|
{"relations": [{"head": "Hyponatraemia", "relation": "adverse effect", "tail": "carbamazepine"}]}
|
( adverse effect : Hyponatraemia , carbamazepine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : CML , hydroxyurea )",
"id": "81",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : CML , hydroxyurea )",
"output_json": "{\"relations\": [{\"head\": \"CML\", \"relation\": \"adverse effect\", \"tail\": \"hydroxyurea\"}]}",
"sentence": "There are no previous reports in the literature about the emergence of CML during treatment with hydroxyurea ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
There are no previous reports in the literature about the emergence of CML during treatment with hydroxyurea .
### Output:
|
( adverse effect : CML , hydroxyurea )
|
Option: adverse effect
|
{"relations": [{"head": "CML", "relation": "adverse effect", "tail": "hydroxyurea"}]}
|
( adverse effect : CML , hydroxyurea )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute renal failure , captopril )",
"id": "82",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : acute renal failure , captopril )",
"output_json": "{\"relations\": [{\"head\": \"acute renal failure\", \"relation\": \"adverse effect\", \"tail\": \"captopril\"}]}",
"sentence": "The 5 patients had severe renovascular disease which might thus represent a significant risk factor in the development of captopril - induced acute renal failure ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
The 5 patients had severe renovascular disease which might thus represent a significant risk factor in the development of captopril - induced acute renal failure .
### Output:
|
( adverse effect : acute renal failure , captopril )
|
Option: adverse effect
|
{"relations": [{"head": "acute renal failure", "relation": "adverse effect", "tail": "captopril"}]}
|
( adverse effect : acute renal failure , captopril )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : stroke , phenylpropanolamine )",
"id": "83",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : stroke , phenylpropanolamine )",
"output_json": "{\"relations\": [{\"head\": \"stroke\", \"relation\": \"adverse effect\", \"tail\": \"phenylpropanolamine\"}]}",
"sentence": "Since 1979 , over 30 published case reports have documented the relationship between phenylpropanolamine and stroke ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Since 1979 , over 30 published case reports have documented the relationship between phenylpropanolamine and stroke .
### Output:
|
( adverse effect : stroke , phenylpropanolamine )
|
Option: adverse effect
|
{"relations": [{"head": "stroke", "relation": "adverse effect", "tail": "phenylpropanolamine"}]}
|
( adverse effect : stroke , phenylpropanolamine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : tuberculous uveitis , etanercept )",
"id": "84",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : tuberculous uveitis , etanercept )",
"output_json": "{\"relations\": [{\"head\": \"tuberculous uveitis\", \"relation\": \"adverse effect\", \"tail\": \"etanercept\"}]}",
"sentence": "DISCUSSION : To our knowledge this is the first reported case of tuberculous uveitis following treatment with etanercept ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
DISCUSSION : To our knowledge this is the first reported case of tuberculous uveitis following treatment with etanercept .
### Output:
|
( adverse effect : tuberculous uveitis , etanercept )
|
Option: adverse effect
|
{"relations": [{"head": "tuberculous uveitis", "relation": "adverse effect", "tail": "etanercept"}]}
|
( adverse effect : tuberculous uveitis , etanercept )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : interstitial hypoxaemiant pneumonitis , flecainide )",
"id": "85",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : interstitial hypoxaemiant pneumonitis , flecainide )",
"output_json": "{\"relations\": [{\"head\": \"interstitial hypoxaemiant pneumonitis\", \"relation\": \"adverse effect\", \"tail\": \"flecainide\"}]}",
"sentence": "We describe a case of interstitial hypoxaemiant pneumonitis probably related to flecainide in a patient with the LEOPARD syndrome , a rare congenital disorder ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
We describe a case of interstitial hypoxaemiant pneumonitis probably related to flecainide in a patient with the LEOPARD syndrome , a rare congenital disorder .
### Output:
|
( adverse effect : interstitial hypoxaemiant pneumonitis , flecainide )
|
Option: adverse effect
|
{"relations": [{"head": "interstitial hypoxaemiant pneumonitis", "relation": "adverse effect", "tail": "flecainide"}]}
|
( adverse effect : interstitial hypoxaemiant pneumonitis , flecainide )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : pneumonitis , Methotrexate )",
"id": "86",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : pneumonitis , Methotrexate )",
"output_json": "{\"relations\": [{\"head\": \"pneumonitis\", \"relation\": \"adverse effect\", \"tail\": \"Methotrexate\"}]}",
"sentence": "Methotrexate - induced pneumonitis in patients with rheumatoid arthritis and psoriatic arthritis : report of five cases and review of the literature ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Methotrexate - induced pneumonitis in patients with rheumatoid arthritis and psoriatic arthritis : report of five cases and review of the literature .
### Output:
|
( adverse effect : pneumonitis , Methotrexate )
|
Option: adverse effect
|
{"relations": [{"head": "pneumonitis", "relation": "adverse effect", "tail": "Methotrexate"}]}
|
( adverse effect : pneumonitis , Methotrexate )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : diabetic milieu deteriorated , prednisolone )",
"id": "87",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : diabetic milieu deteriorated , prednisolone )",
"output_json": "{\"relations\": [{\"head\": \"diabetic milieu deteriorated\", \"relation\": \"adverse effect\", \"tail\": \"prednisolone\"}]}",
"sentence": "While 40 mg / day of prednisolone improved hepatic dysfunction dramatically , her diabetic milieu deteriorated seriously ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
While 40 mg / day of prednisolone improved hepatic dysfunction dramatically , her diabetic milieu deteriorated seriously .
### Output:
|
( adverse effect : diabetic milieu deteriorated , prednisolone )
|
Option: adverse effect
|
{"relations": [{"head": "diabetic milieu deteriorated", "relation": "adverse effect", "tail": "prednisolone"}]}
|
( adverse effect : diabetic milieu deteriorated , prednisolone )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Ulcerating enteritis , flucytosine )",
"id": "88",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Ulcerating enteritis , flucytosine )",
"output_json": "{\"relations\": [{\"head\": \"Ulcerating enteritis\", \"relation\": \"adverse effect\", \"tail\": \"flucytosine\"}]}",
"sentence": "Ulcerating enteritis associated with flucytosine therapy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Ulcerating enteritis associated with flucytosine therapy .
### Output:
|
( adverse effect : Ulcerating enteritis , flucytosine )
|
Option: adverse effect
|
{"relations": [{"head": "Ulcerating enteritis", "relation": "adverse effect", "tail": "flucytosine"}]}
|
( adverse effect : Ulcerating enteritis , flucytosine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : ANCA - associated vasculitis , PTU ) ; ( adverse effect : ototoxicity , PTU )",
"id": "89",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : ANCA - associated vasculitis , PTU ) ; ( adverse effect : ototoxicity , PTU )",
"output_json": "{\"relations\": [{\"head\": \"ANCA - associated vasculitis\", \"relation\": \"adverse effect\", \"tail\": \"PTU\"}, {\"head\": \"ototoxicity\", \"relation\": \"adverse effect\", \"tail\": \"PTU\"}]}",
"sentence": "CONCLUSION : This rare case of PTU - induced ANCA - associated vasculitis manifested with ototoxicity in combination with systemic involvement ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
CONCLUSION : This rare case of PTU - induced ANCA - associated vasculitis manifested with ototoxicity in combination with systemic involvement .
### Output:
|
( adverse effect : ANCA - associated vasculitis , PTU ) ; ( adverse effect : ototoxicity , PTU )
|
Option: adverse effect
|
{"relations": [{"head": "ANCA - associated vasculitis", "relation": "adverse effect", "tail": "PTU"}, {"head": "ototoxicity", "relation": "adverse effect", "tail": "PTU"}]}
|
( adverse effect : ANCA - associated vasculitis , PTU ) ; ( adverse effect : ototoxicity , PTU )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : HUS , MMC ) ; ( adverse effect : massive pulmonary bleeding , MMC )",
"id": "90",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : HUS , MMC ) ; ( adverse effect : massive pulmonary bleeding , MMC )",
"output_json": "{\"relations\": [{\"head\": \"HUS\", \"relation\": \"adverse effect\", \"tail\": \"MMC\"}, {\"head\": \"massive pulmonary bleeding\", \"relation\": \"adverse effect\", \"tail\": \"MMC\"}]}",
"sentence": "We describe two women who developed HUS after MMC therapy and presented massive pulmonary bleeding ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
We describe two women who developed HUS after MMC therapy and presented massive pulmonary bleeding .
### Output:
|
( adverse effect : HUS , MMC ) ; ( adverse effect : massive pulmonary bleeding , MMC )
|
Option: adverse effect
|
{"relations": [{"head": "HUS", "relation": "adverse effect", "tail": "MMC"}, {"head": "massive pulmonary bleeding", "relation": "adverse effect", "tail": "MMC"}]}
|
( adverse effect : HUS , MMC ) ; ( adverse effect : massive pulmonary bleeding , MMC )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : corneal ulcers , moxifloxacin )",
"id": "91",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : corneal ulcers , moxifloxacin )",
"output_json": "{\"relations\": [{\"head\": \"corneal ulcers\", \"relation\": \"adverse effect\", \"tail\": \"moxifloxacin\"}]}",
"sentence": "CONCLUSION : These cases suggest that moxifloxacin may interfere with the healing of corneal ulcers ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
CONCLUSION : These cases suggest that moxifloxacin may interfere with the healing of corneal ulcers .
### Output:
|
( adverse effect : corneal ulcers , moxifloxacin )
|
Option: adverse effect
|
{"relations": [{"head": "corneal ulcers", "relation": "adverse effect", "tail": "moxifloxacin"}]}
|
( adverse effect : corneal ulcers , moxifloxacin )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : decreased vision , IFN ) ; ( adverse effect : macular edema , IFN )",
"id": "92",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : decreased vision , IFN ) ; ( adverse effect : macular edema , IFN )",
"output_json": "{\"relations\": [{\"head\": \"decreased vision\", \"relation\": \"adverse effect\", \"tail\": \"IFN\"}, {\"head\": \"macular edema\", \"relation\": \"adverse effect\", \"tail\": \"IFN\"}]}",
"sentence": "CONCLUSION : During and after IFN therapy , OCT is a useful examination technique for revealing macular edema in patients who have decreased vision ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
CONCLUSION : During and after IFN therapy , OCT is a useful examination technique for revealing macular edema in patients who have decreased vision .
### Output:
|
( adverse effect : decreased vision , IFN ) ; ( adverse effect : macular edema , IFN )
|
Option: adverse effect
|
{"relations": [{"head": "decreased vision", "relation": "adverse effect", "tail": "IFN"}, {"head": "macular edema", "relation": "adverse effect", "tail": "IFN"}]}
|
( adverse effect : decreased vision , IFN ) ; ( adverse effect : macular edema , IFN )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : methemoglobinemia , lidocaine )",
"id": "93",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : methemoglobinemia , lidocaine )",
"output_json": "{\"relations\": [{\"head\": \"methemoglobinemia\", \"relation\": \"adverse effect\", \"tail\": \"lidocaine\"}]}",
"sentence": "Although the two local anesthetics usually do not cause methemoglobinemia , we suspect that the displacement of lidocaine from protein binding by bupivacaine , in combination with metabolic acidosis and treatment with other oxidants , was the reason for the development of methemoglobinemia ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Although the two local anesthetics usually do not cause methemoglobinemia , we suspect that the displacement of lidocaine from protein binding by bupivacaine , in combination with metabolic acidosis and treatment with other oxidants , was the reason for the development of methemoglobinemia .
### Output:
|
( adverse effect : methemoglobinemia , lidocaine )
|
Option: adverse effect
|
{"relations": [{"head": "methemoglobinemia", "relation": "adverse effect", "tail": "lidocaine"}]}
|
( adverse effect : methemoglobinemia , lidocaine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : VOD , azathioprine )",
"id": "94",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : VOD , azathioprine )",
"output_json": "{\"relations\": [{\"head\": \"VOD\", \"relation\": \"adverse effect\", \"tail\": \"azathioprine\"}]}",
"sentence": "Here we describe another case of VOD occurring after LT , but in which the causative role was played by azathioprine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Here we describe another case of VOD occurring after LT , but in which the causative role was played by azathioprine .
### Output:
|
( adverse effect : VOD , azathioprine )
|
Option: adverse effect
|
{"relations": [{"head": "VOD", "relation": "adverse effect", "tail": "azathioprine"}]}
|
( adverse effect : VOD , azathioprine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Hypo - oestrogenic and anabolic / androgenic side - effects , danazol )",
"id": "95",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Hypo - oestrogenic and anabolic / androgenic side - effects , danazol )",
"output_json": "{\"relations\": [{\"head\": \"Hypo - oestrogenic and anabolic / androgenic side - effects\", \"relation\": \"adverse effect\", \"tail\": \"danazol\"}]}",
"sentence": "Hypo - oestrogenic and anabolic / androgenic side - effects of danazol are well known by the gynaecologist and some of them are present in > 50 % of patients being treated for endometriosis ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Hypo - oestrogenic and anabolic / androgenic side - effects of danazol are well known by the gynaecologist and some of them are present in > 50 % of patients being treated for endometriosis .
### Output:
|
( adverse effect : Hypo - oestrogenic and anabolic / androgenic side - effects , danazol )
|
Option: adverse effect
|
{"relations": [{"head": "Hypo - oestrogenic and anabolic / androgenic side - effects", "relation": "adverse effect", "tail": "danazol"}]}
|
( adverse effect : Hypo - oestrogenic and anabolic / androgenic side - effects , danazol )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : transient intraoperative hypertension , epinephrine )",
"id": "96",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : transient intraoperative hypertension , epinephrine )",
"output_json": "{\"relations\": [{\"head\": \"transient intraoperative hypertension\", \"relation\": \"adverse effect\", \"tail\": \"epinephrine\"}]}",
"sentence": "The other patient developed transient intraoperative hypertension immediately after inadvertent submucosal injection of concentrated epinephrine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
The other patient developed transient intraoperative hypertension immediately after inadvertent submucosal injection of concentrated epinephrine .
### Output:
|
( adverse effect : transient intraoperative hypertension , epinephrine )
|
Option: adverse effect
|
{"relations": [{"head": "transient intraoperative hypertension", "relation": "adverse effect", "tail": "epinephrine"}]}
|
( adverse effect : transient intraoperative hypertension , epinephrine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : lethal complications , epinephrine )",
"id": "97",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : lethal complications , epinephrine )",
"output_json": "{\"relations\": [{\"head\": \"lethal complications\", \"relation\": \"adverse effect\", \"tail\": \"epinephrine\"}]}",
"sentence": "Inadvertent and accidental epinephrine overdose might result in potentially lethal complications ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Inadvertent and accidental epinephrine overdose might result in potentially lethal complications .
### Output:
|
( adverse effect : lethal complications , epinephrine )
|
Option: adverse effect
|
{"relations": [{"head": "lethal complications", "relation": "adverse effect", "tail": "epinephrine"}]}
|
( adverse effect : lethal complications , epinephrine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Acute pancreatitis , mesalamine )",
"id": "98",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : Acute pancreatitis , mesalamine )",
"output_json": "{\"relations\": [{\"head\": \"Acute pancreatitis\", \"relation\": \"adverse effect\", \"tail\": \"mesalamine\"}]}",
"sentence": "Acute pancreatitis is a known , although rare , complication of mesalamine treatment ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
Acute pancreatitis is a known , although rare , complication of mesalamine treatment .
### Output:
|
( adverse effect : Acute pancreatitis , mesalamine )
|
Option: adverse effect
|
{"relations": [{"head": "Acute pancreatitis", "relation": "adverse effect", "tail": "mesalamine"}]}
|
( adverse effect : Acute pancreatitis , mesalamine )
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute generalized dystonia , d - penicillamine ) ; ( adverse effect : brainstem and thalamic lesions , d - penicillamine )",
"id": "99",
"instruction": "Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return \"None\". If only one relationship is found, format it as \"( relation1 : word1 , word2 )\". For multiple relationships, separate them with semicolons using the format: \"( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )\".\nOption: adverse effect \nText: {0} \nAnswer:",
"label": "( adverse effect : acute generalized dystonia , d - penicillamine ) ; ( adverse effect : brainstem and thalamic lesions , d - penicillamine )",
"output_json": "{\"relations\": [{\"head\": \"acute generalized dystonia\", \"relation\": \"adverse effect\", \"tail\": \"d - penicillamine\"}, {\"head\": \"brainstem and thalamic lesions\", \"relation\": \"adverse effect\", \"tail\": \"d - penicillamine\"}]}",
"sentence": "From these data , acute generalized dystonia with brainstem and thalamic lesions may occur in WD patients after an initial d - penicillamine therapy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
### Task: RE
### Dataset: ADE_corpus_sample_15000
### Option: adverse effect
### Instruction:
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
### Input:
From these data , acute generalized dystonia with brainstem and thalamic lesions may occur in WD patients after an initial d - penicillamine therapy .
### Output:
|
( adverse effect : acute generalized dystonia , d - penicillamine ) ; ( adverse effect : brainstem and thalamic lesions , d - penicillamine )
|
Option: adverse effect
|
{"relations": [{"head": "acute generalized dystonia", "relation": "adverse effect", "tail": "d - penicillamine"}, {"head": "brainstem and thalamic lesions", "relation": "adverse effect", "tail": "d - penicillamine"}]}
|
( adverse effect : acute generalized dystonia , d - penicillamine ) ; ( adverse effect : brainstem and thalamic lesions , d - penicillamine )
|
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