Task
stringclasses 9
values | Dataset
stringclasses 35
values | subset
stringclasses 1
value | Samples
listlengths 0
0
| Instance
dict | instruction
stringclasses 9
values | response
stringlengths 1
4.68k
| option
stringclasses 61
values | label_json
stringlengths 14
7.45k
| grouth_truth
stringlengths 1
4.68k
| instruction_v3
stringclasses 9
values | prompt
listlengths 2
2
| answer
stringlengths 14
7.45k
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Uveitis , clarithromycin ) ; ( adverse effect : Uveitis , ethambutol ) ; ( adverse effect : Uveitis , rifabutin )",
"id": "100",
"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 : Uveitis , clarithromycin ) ; ( adverse effect : Uveitis , ethambutol ) ; ( adverse effect : Uveitis , rifabutin )",
"output_json": "{\"relations\": [{\"head\": \"Uveitis\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}, {\"head\": \"Uveitis\", \"relation\": \"adverse effect\", \"tail\": \"ethambutol\"}, {\"head\": \"Uveitis\", \"relation\": \"adverse effect\", \"tail\": \"rifabutin\"}]}",
"sentence": "Uveitis during treatment of disseminated Mycobacterium avium - intracellulare complex infection with the combination of rifabutin , clarithromycin and ethambutol ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Uveitis , clarithromycin ) ; ( adverse effect : Uveitis , ethambutol ) ; ( adverse effect : Uveitis , rifabutin )
|
Option: adverse effect
|
{"relations": [{"head": "Uveitis", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "Uveitis", "relation": "adverse effect", "tail": "ethambutol"}, {"head": "Uveitis", "relation": "adverse effect", "tail": "rifabutin"}]}
|
( adverse effect : Uveitis , clarithromycin ) ; ( adverse effect : Uveitis , ethambutol ) ; ( adverse effect : Uveitis , rifabutin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nUveitis during treatment of disseminated Mycobacterium avium - intracellulare complex infection with the combination of rifabutin , clarithromycin and ethambutol .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Uveitis", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "Uveitis", "relation": "adverse effect", "tail": "ethambutol"}, {"head": "Uveitis", "relation": "adverse effect", "tail": "rifabutin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : antineutrophil cytoplasmic antibodies , Propylthiouracil ) ; ( adverse effect : sensorineural hearing loss , Propylthiouracil )",
"id": "101",
"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 : antineutrophil cytoplasmic antibodies , Propylthiouracil ) ; ( adverse effect : sensorineural hearing loss , Propylthiouracil )",
"output_json": "{\"relations\": [{\"head\": \"antineutrophil cytoplasmic antibodies\", \"relation\": \"adverse effect\", \"tail\": \"Propylthiouracil\"}, {\"head\": \"sensorineural hearing loss\", \"relation\": \"adverse effect\", \"tail\": \"Propylthiouracil\"}]}",
"sentence": "Propylthiouracil - induced sensorineural hearing loss associated with antineutrophil cytoplasmic antibodies ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : antineutrophil cytoplasmic antibodies , Propylthiouracil ) ; ( adverse effect : sensorineural hearing loss , Propylthiouracil )
|
Option: adverse effect
|
{"relations": [{"head": "antineutrophil cytoplasmic antibodies", "relation": "adverse effect", "tail": "Propylthiouracil"}, {"head": "sensorineural hearing loss", "relation": "adverse effect", "tail": "Propylthiouracil"}]}
|
( adverse effect : antineutrophil cytoplasmic antibodies , Propylthiouracil ) ; ( adverse effect : sensorineural hearing loss , Propylthiouracil )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nPropylthiouracil - induced sensorineural hearing loss associated with antineutrophil cytoplasmic antibodies .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "antineutrophil cytoplasmic antibodies", "relation": "adverse effect", "tail": "Propylthiouracil"}, {"head": "sensorineural hearing loss", "relation": "adverse effect", "tail": "Propylthiouracil"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hemolytic uremic syndrome , MMC )",
"id": "102",
"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 : hemolytic uremic syndrome , MMC )",
"output_json": "{\"relations\": [{\"head\": \"hemolytic uremic syndrome\", \"relation\": \"adverse effect\", \"tail\": \"MMC\"}]}",
"sentence": "We report a case of MMC - related hemolytic uremic syndrome , and discuss the etiologic parameters , clinical aspects , prognosis and treatment modalities of this severe syndrome ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : hemolytic uremic syndrome , MMC )
|
Option: adverse effect
|
{"relations": [{"head": "hemolytic uremic syndrome", "relation": "adverse effect", "tail": "MMC"}]}
|
( adverse effect : hemolytic uremic syndrome , MMC )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWe report a case of MMC - related hemolytic uremic syndrome , and discuss the etiologic parameters , clinical aspects , prognosis and treatment modalities of this severe syndrome .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "hemolytic uremic syndrome", "relation": "adverse effect", "tail": "MMC"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : LABD , gemcitabine )",
"id": "103",
"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 : LABD , gemcitabine )",
"output_json": "{\"relations\": [{\"head\": \"LABD\", \"relation\": \"adverse effect\", \"tail\": \"gemcitabine\"}]}",
"sentence": "CONCLUSIONS : We report the first case of gemcitabine - induced LABD ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : LABD , gemcitabine )
|
Option: adverse effect
|
{"relations": [{"head": "LABD", "relation": "adverse effect", "tail": "gemcitabine"}]}
|
( adverse effect : LABD , gemcitabine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCONCLUSIONS : We report the first case of gemcitabine - induced LABD .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "LABD", "relation": "adverse effect", "tail": "gemcitabine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : lethal complication , vasopressin )",
"id": "104",
"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 complication , vasopressin )",
"output_json": "{\"relations\": [{\"head\": \"lethal complication\", \"relation\": \"adverse effect\", \"tail\": \"vasopressin\"}]}",
"sentence": "A lethal complication of peripheral vein vasopressin infusion ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : lethal complication , vasopressin )
|
Option: adverse effect
|
{"relations": [{"head": "lethal complication", "relation": "adverse effect", "tail": "vasopressin"}]}
|
( adverse effect : lethal complication , vasopressin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nA lethal complication of peripheral vein vasopressin infusion .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "lethal complication", "relation": "adverse effect", "tail": "vasopressin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hypersensitivity reaction , cyclosporine )",
"id": "105",
"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 reaction , cyclosporine )",
"output_json": "{\"relations\": [{\"head\": \"hypersensitivity reaction\", \"relation\": \"adverse effect\", \"tail\": \"cyclosporine\"}]}",
"sentence": "Fortunately , a hypersensitivity reaction to one formulation of cyclosporine does not preclude use of a different formulation ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : hypersensitivity reaction , cyclosporine )
|
Option: adverse effect
|
{"relations": [{"head": "hypersensitivity reaction", "relation": "adverse effect", "tail": "cyclosporine"}]}
|
( adverse effect : hypersensitivity reaction , cyclosporine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nFortunately , a hypersensitivity reaction to one formulation of cyclosporine does not preclude use of a different formulation .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "hypersensitivity reaction", "relation": "adverse effect", "tail": "cyclosporine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : myasthenia gravis , Ampicillin )",
"id": "106",
"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 : myasthenia gravis , Ampicillin )",
"output_json": "{\"relations\": [{\"head\": \"myasthenia gravis\", \"relation\": \"adverse effect\", \"tail\": \"Ampicillin\"}]}",
"sentence": "Ampicillin may aggravate clinical and experimental myasthenia gravis ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : myasthenia gravis , Ampicillin )
|
Option: adverse effect
|
{"relations": [{"head": "myasthenia gravis", "relation": "adverse effect", "tail": "Ampicillin"}]}
|
( adverse effect : myasthenia gravis , Ampicillin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nAmpicillin may aggravate clinical and experimental myasthenia gravis .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "myasthenia gravis", "relation": "adverse effect", "tail": "Ampicillin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Ectropion , 5-fluorouracil )",
"id": "107",
"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 : Ectropion , 5-fluorouracil )",
"output_json": "{\"relations\": [{\"head\": \"Ectropion\", \"relation\": \"adverse effect\", \"tail\": \"5-fluorouracil\"}]}",
"sentence": "Ectropion secondary to bolus injection of 5-fluorouracil ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Ectropion , 5-fluorouracil )
|
Option: adverse effect
|
{"relations": [{"head": "Ectropion", "relation": "adverse effect", "tail": "5-fluorouracil"}]}
|
( adverse effect : Ectropion , 5-fluorouracil )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nEctropion secondary to bolus injection of 5-fluorouracil .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Ectropion", "relation": "adverse effect", "tail": "5-fluorouracil"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Atrioventricular block , amiodarone ) ; ( adverse effect : hypothyroidism , amiodarone )",
"id": "108",
"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 : Atrioventricular block , amiodarone ) ; ( adverse effect : hypothyroidism , amiodarone )",
"output_json": "{\"relations\": [{\"head\": \"Atrioventricular block\", \"relation\": \"adverse effect\", \"tail\": \"amiodarone\"}, {\"head\": \"hypothyroidism\", \"relation\": \"adverse effect\", \"tail\": \"amiodarone\"}]}",
"sentence": "Atrioventricular block complicating amiodarone - induced hypothyroidism in a patient with pre - excitation and rate - dependent bilateral bundle branch block ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Atrioventricular block , amiodarone ) ; ( adverse effect : hypothyroidism , amiodarone )
|
Option: adverse effect
|
{"relations": [{"head": "Atrioventricular block", "relation": "adverse effect", "tail": "amiodarone"}, {"head": "hypothyroidism", "relation": "adverse effect", "tail": "amiodarone"}]}
|
( adverse effect : Atrioventricular block , amiodarone ) ; ( adverse effect : hypothyroidism , amiodarone )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nAtrioventricular block complicating amiodarone - induced hypothyroidism in a patient with pre - excitation and rate - dependent bilateral bundle branch block .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Atrioventricular block", "relation": "adverse effect", "tail": "amiodarone"}, {"head": "hypothyroidism", "relation": "adverse effect", "tail": "amiodarone"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : diabetes , danazol )",
"id": "109",
"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 : diabetes , danazol )",
"output_json": "{\"relations\": [{\"head\": \"diabetes\", \"relation\": \"adverse effect\", \"tail\": \"danazol\"}]}",
"sentence": "After discontinuation of danazol the diabetes completely 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 )".
|
( adverse effect : diabetes , danazol )
|
Option: adverse effect
|
{"relations": [{"head": "diabetes", "relation": "adverse effect", "tail": "danazol"}]}
|
( adverse effect : diabetes , danazol )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nAfter discontinuation of danazol the diabetes completely resolved .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "diabetes", "relation": "adverse effect", "tail": "danazol"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Recurrent hyponatremia , citalopram ) ; ( adverse effect : Recurrent hyponatremia , mirtazapine )",
"id": "110",
"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 : Recurrent hyponatremia , citalopram ) ; ( adverse effect : Recurrent hyponatremia , mirtazapine )",
"output_json": "{\"relations\": [{\"head\": \"Recurrent hyponatremia\", \"relation\": \"adverse effect\", \"tail\": \"citalopram\"}, {\"head\": \"Recurrent hyponatremia\", \"relation\": \"adverse effect\", \"tail\": \"mirtazapine\"}]}",
"sentence": "Recurrent hyponatremia associated with citalopram and mirtazapine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Recurrent hyponatremia , citalopram ) ; ( adverse effect : Recurrent hyponatremia , mirtazapine )
|
Option: adverse effect
|
{"relations": [{"head": "Recurrent hyponatremia", "relation": "adverse effect", "tail": "citalopram"}, {"head": "Recurrent hyponatremia", "relation": "adverse effect", "tail": "mirtazapine"}]}
|
( adverse effect : Recurrent hyponatremia , citalopram ) ; ( adverse effect : Recurrent hyponatremia , mirtazapine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nRecurrent hyponatremia associated with citalopram and mirtazapine .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Recurrent hyponatremia", "relation": "adverse effect", "tail": "citalopram"}, {"head": "Recurrent hyponatremia", "relation": "adverse effect", "tail": "mirtazapine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : harlequin color change , prostaglandin E1 )",
"id": "111",
"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 : harlequin color change , prostaglandin E1 )",
"output_json": "{\"relations\": [{\"head\": \"harlequin color change\", \"relation\": \"adverse effect\", \"tail\": \"prostaglandin E1\"}]}",
"sentence": "The harlequin color change and association with prostaglandin E1 ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : harlequin color change , prostaglandin E1 )
|
Option: adverse effect
|
{"relations": [{"head": "harlequin color change", "relation": "adverse effect", "tail": "prostaglandin E1"}]}
|
( adverse effect : harlequin color change , prostaglandin E1 )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe harlequin color change and association with prostaglandin E1 .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "harlequin color change", "relation": "adverse effect", "tail": "prostaglandin E1"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : pulmonary toxicity , KW-2149 )",
"id": "112",
"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 toxicity , KW-2149 )",
"output_json": "{\"relations\": [{\"head\": \"pulmonary toxicity\", \"relation\": \"adverse effect\", \"tail\": \"KW-2149\"}]}",
"sentence": "The dose - limiting toxicity of KW-2149 is pulmonary 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 )".
|
( adverse effect : pulmonary toxicity , KW-2149 )
|
Option: adverse effect
|
{"relations": [{"head": "pulmonary toxicity", "relation": "adverse effect", "tail": "KW-2149"}]}
|
( adverse effect : pulmonary toxicity , KW-2149 )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe dose - limiting toxicity of KW-2149 is pulmonary toxicity .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "pulmonary toxicity", "relation": "adverse effect", "tail": "KW-2149"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : autoimmune thyroid disease , IFN - beta ) ; ( adverse effect : refractory pre - patellar bursitis , IFN - beta )",
"id": "113",
"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 : autoimmune thyroid disease , IFN - beta ) ; ( adverse effect : refractory pre - patellar bursitis , IFN - beta )",
"output_json": "{\"relations\": [{\"head\": \"autoimmune thyroid disease\", \"relation\": \"adverse effect\", \"tail\": \"IFN - beta\"}, {\"head\": \"refractory pre - patellar bursitis\", \"relation\": \"adverse effect\", \"tail\": \"IFN - beta\"}]}",
"sentence": "The second patient developed both autoimmune thyroid disease and a refractory pre - patellar bursitis after 50 months of IFN - beta 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 )".
|
( adverse effect : autoimmune thyroid disease , IFN - beta ) ; ( adverse effect : refractory pre - patellar bursitis , IFN - beta )
|
Option: adverse effect
|
{"relations": [{"head": "autoimmune thyroid disease", "relation": "adverse effect", "tail": "IFN - beta"}, {"head": "refractory pre - patellar bursitis", "relation": "adverse effect", "tail": "IFN - beta"}]}
|
( adverse effect : autoimmune thyroid disease , IFN - beta ) ; ( adverse effect : refractory pre - patellar bursitis , IFN - beta )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe second patient developed both autoimmune thyroid disease and a refractory pre - patellar bursitis after 50 months of IFN - beta therapy .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "autoimmune thyroid disease", "relation": "adverse effect", "tail": "IFN - beta"}, {"head": "refractory pre - patellar bursitis", "relation": "adverse effect", "tail": "IFN - beta"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : unresponsive , ifosfamide ) ; ( adverse effect : unresponsive , mesna )",
"id": "114",
"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 : unresponsive , ifosfamide ) ; ( adverse effect : unresponsive , mesna )",
"output_json": "{\"relations\": [{\"head\": \"unresponsive\", \"relation\": \"adverse effect\", \"tail\": \"ifosfamide\"}, {\"head\": \"unresponsive\", \"relation\": \"adverse effect\", \"tail\": \"mesna\"}]}",
"sentence": "After receiving 3 doses of ifosfamide / mesna , she was found to be unresponsive ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : unresponsive , ifosfamide ) ; ( adverse effect : unresponsive , mesna )
|
Option: adverse effect
|
{"relations": [{"head": "unresponsive", "relation": "adverse effect", "tail": "ifosfamide"}, {"head": "unresponsive", "relation": "adverse effect", "tail": "mesna"}]}
|
( adverse effect : unresponsive , ifosfamide ) ; ( adverse effect : unresponsive , mesna )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nAfter receiving 3 doses of ifosfamide / mesna , she was found to be unresponsive .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "unresponsive", "relation": "adverse effect", "tail": "ifosfamide"}, {"head": "unresponsive", "relation": "adverse effect", "tail": "mesna"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : neurotoxicity , HDARAC )",
"id": "115",
"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 : neurotoxicity , HDARAC )",
"output_json": "{\"relations\": [{\"head\": \"neurotoxicity\", \"relation\": \"adverse effect\", \"tail\": \"HDARAC\"}]}",
"sentence": "This case report illustrates the neurotoxicity unique to HDARAC ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : neurotoxicity , HDARAC )
|
Option: adverse effect
|
{"relations": [{"head": "neurotoxicity", "relation": "adverse effect", "tail": "HDARAC"}]}
|
( adverse effect : neurotoxicity , HDARAC )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThis case report illustrates the neurotoxicity unique to HDARAC .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "neurotoxicity", "relation": "adverse effect", "tail": "HDARAC"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Squamous - cell carcinoma , 5-fluorouracil )",
"id": "116",
"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 , 5-fluorouracil )",
"output_json": "{\"relations\": [{\"head\": \"Squamous - cell carcinoma\", \"relation\": \"adverse effect\", \"tail\": \"5-fluorouracil\"}]}",
"sentence": "Squamous - cell carcinoma arising in a basal - cell epithelioma treated with 5-fluorouracil ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Squamous - cell carcinoma , 5-fluorouracil )
|
Option: adverse effect
|
{"relations": [{"head": "Squamous - cell carcinoma", "relation": "adverse effect", "tail": "5-fluorouracil"}]}
|
( adverse effect : Squamous - cell carcinoma , 5-fluorouracil )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nSquamous - cell carcinoma arising in a basal - cell epithelioma treated with 5-fluorouracil .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Squamous - cell carcinoma", "relation": "adverse effect", "tail": "5-fluorouracil"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : cardiac rhythms , garenoxacin ) ; ( adverse effect : hypokalemia , garenoxacin )",
"id": "117",
"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 rhythms , garenoxacin ) ; ( adverse effect : hypokalemia , garenoxacin )",
"output_json": "{\"relations\": [{\"head\": \"cardiac rhythms\", \"relation\": \"adverse effect\", \"tail\": \"garenoxacin\"}, {\"head\": \"hypokalemia\", \"relation\": \"adverse effect\", \"tail\": \"garenoxacin\"}]}",
"sentence": "Therefore , although garenoxacin reportedly causes fewer adverse reactions for cardiac rhythms than third - generation quinolone antibiotics , one must be cautious of the interference of other drugs during hypokalemia in order to prevent TdP ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : cardiac rhythms , garenoxacin ) ; ( adverse effect : hypokalemia , garenoxacin )
|
Option: adverse effect
|
{"relations": [{"head": "cardiac rhythms", "relation": "adverse effect", "tail": "garenoxacin"}, {"head": "hypokalemia", "relation": "adverse effect", "tail": "garenoxacin"}]}
|
( adverse effect : cardiac rhythms , garenoxacin ) ; ( adverse effect : hypokalemia , garenoxacin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nTherefore , although garenoxacin reportedly causes fewer adverse reactions for cardiac rhythms than third - generation quinolone antibiotics , one must be cautious of the interference of other drugs during hypokalemia in order to prevent TdP .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "cardiac rhythms", "relation": "adverse effect", "tail": "garenoxacin"}, {"head": "hypokalemia", "relation": "adverse effect", "tail": "garenoxacin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Interstitial pneumonia , sorafenib )",
"id": "118",
"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 pneumonia , sorafenib )",
"output_json": "{\"relations\": [{\"head\": \"Interstitial pneumonia\", \"relation\": \"adverse effect\", \"tail\": \"sorafenib\"}]}",
"sentence": "Interstitial pneumonia probably associated with sorafenib treatment : An alert of an adverse event ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Interstitial pneumonia , sorafenib )
|
Option: adverse effect
|
{"relations": [{"head": "Interstitial pneumonia", "relation": "adverse effect", "tail": "sorafenib"}]}
|
( adverse effect : Interstitial pneumonia , sorafenib )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nInterstitial pneumonia probably associated with sorafenib treatment : An alert of an adverse event .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Interstitial pneumonia", "relation": "adverse effect", "tail": "sorafenib"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : myocardial infarction , prothrombin complex concentrate )",
"id": "119",
"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 : myocardial infarction , prothrombin complex concentrate )",
"output_json": "{\"relations\": [{\"head\": \"myocardial infarction\", \"relation\": \"adverse effect\", \"tail\": \"prothrombin complex concentrate\"}]}",
"sentence": "Recombinant VIIa concentrate in the management of bleeding following prothrombin complex concentrate - related myocardial infarction in patients with haemophilia and inhibitors ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : myocardial infarction , prothrombin complex concentrate )
|
Option: adverse effect
|
{"relations": [{"head": "myocardial infarction", "relation": "adverse effect", "tail": "prothrombin complex concentrate"}]}
|
( adverse effect : myocardial infarction , prothrombin complex concentrate )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nRecombinant VIIa concentrate in the management of bleeding following prothrombin complex concentrate - related myocardial infarction in patients with haemophilia and inhibitors .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "myocardial infarction", "relation": "adverse effect", "tail": "prothrombin complex concentrate"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : painful ulcers , interferon beta-1b ) ; ( adverse effect : reticulate erythema , interferon beta-1b )",
"id": "120",
"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 : painful ulcers , interferon beta-1b ) ; ( adverse effect : reticulate erythema , interferon beta-1b )",
"output_json": "{\"relations\": [{\"head\": \"painful ulcers\", \"relation\": \"adverse effect\", \"tail\": \"interferon beta-1b\"}, {\"head\": \"reticulate erythema\", \"relation\": \"adverse effect\", \"tail\": \"interferon beta-1b\"}]}",
"sentence": "46-year - old woman developed painful ulcers over her lower abdomen in the form of reticulate erythema after injecting interferon beta-1b subcutaneously 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 )".
|
( adverse effect : painful ulcers , interferon beta-1b ) ; ( adverse effect : reticulate erythema , interferon beta-1b )
|
Option: adverse effect
|
{"relations": [{"head": "painful ulcers", "relation": "adverse effect", "tail": "interferon beta-1b"}, {"head": "reticulate erythema", "relation": "adverse effect", "tail": "interferon beta-1b"}]}
|
( adverse effect : painful ulcers , interferon beta-1b ) ; ( adverse effect : reticulate erythema , interferon beta-1b )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\n46-year - old woman developed painful ulcers over her lower abdomen in the form of reticulate erythema after injecting interferon beta-1b subcutaneously for multiple sclerosis .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "painful ulcers", "relation": "adverse effect", "tail": "interferon beta-1b"}, {"head": "reticulate erythema", "relation": "adverse effect", "tail": "interferon beta-1b"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : thrombocytopenia , Lansoprazole )",
"id": "121",
"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 : thrombocytopenia , Lansoprazole )",
"output_json": "{\"relations\": [{\"head\": \"thrombocytopenia\", \"relation\": \"adverse effect\", \"tail\": \"Lansoprazole\"}]}",
"sentence": "Lansoprazole - induced thrombocytopenia ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : thrombocytopenia , Lansoprazole )
|
Option: adverse effect
|
{"relations": [{"head": "thrombocytopenia", "relation": "adverse effect", "tail": "Lansoprazole"}]}
|
( adverse effect : thrombocytopenia , Lansoprazole )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nLansoprazole - induced thrombocytopenia .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "thrombocytopenia", "relation": "adverse effect", "tail": "Lansoprazole"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : infection , infliximab )",
"id": "122",
"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 : infection , infliximab )",
"output_json": "{\"relations\": [{\"head\": \"infection\", \"relation\": \"adverse effect\", \"tail\": \"infliximab\"}]}",
"sentence": "The major side effect of infliximab is 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 )".
|
( adverse effect : infection , infliximab )
|
Option: adverse effect
|
{"relations": [{"head": "infection", "relation": "adverse effect", "tail": "infliximab"}]}
|
( adverse effect : infection , infliximab )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe major side effect of infliximab is infection .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "infection", "relation": "adverse effect", "tail": "infliximab"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : severe visual loss , vincristine )",
"id": "123",
"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 visual loss , vincristine )",
"output_json": "{\"relations\": [{\"head\": \"severe visual loss\", \"relation\": \"adverse effect\", \"tail\": \"vincristine\"}]}",
"sentence": "A case of severe visual loss following a single dose of vincristine is described ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : severe visual loss , vincristine )
|
Option: adverse effect
|
{"relations": [{"head": "severe visual loss", "relation": "adverse effect", "tail": "vincristine"}]}
|
( adverse effect : severe visual loss , vincristine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nA case of severe visual loss following a single dose of vincristine is described .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "severe visual loss", "relation": "adverse effect", "tail": "vincristine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Renal tubular acidosis , FK506 )",
"id": "124",
"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 tubular acidosis , FK506 )",
"output_json": "{\"relations\": [{\"head\": \"Renal tubular acidosis\", \"relation\": \"adverse effect\", \"tail\": \"FK506\"}]}",
"sentence": "Renal tubular acidosis secondary to FK506 in living donor liver transplantation : a case report ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Renal tubular acidosis , FK506 )
|
Option: adverse effect
|
{"relations": [{"head": "Renal tubular acidosis", "relation": "adverse effect", "tail": "FK506"}]}
|
( adverse effect : Renal tubular acidosis , FK506 )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nRenal tubular acidosis secondary to FK506 in living donor liver transplantation : a case report .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Renal tubular acidosis", "relation": "adverse effect", "tail": "FK506"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : severe enteropathy , clofazimine )",
"id": "125",
"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 enteropathy , clofazimine )",
"output_json": "{\"relations\": [{\"head\": \"severe enteropathy\", \"relation\": \"adverse effect\", \"tail\": \"clofazimine\"}]}",
"sentence": "An 11-year - old boy developed a severe enteropathy 2 years after initiation of clofazimine treatment for graft - versus - host 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 )".
|
( adverse effect : severe enteropathy , clofazimine )
|
Option: adverse effect
|
{"relations": [{"head": "severe enteropathy", "relation": "adverse effect", "tail": "clofazimine"}]}
|
( adverse effect : severe enteropathy , clofazimine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nAn 11-year - old boy developed a severe enteropathy 2 years after initiation of clofazimine treatment for graft - versus - host disease .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "severe enteropathy", "relation": "adverse effect", "tail": "clofazimine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : intracerebral hemorrhage , pseudoephedrine )",
"id": "126",
"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 : intracerebral hemorrhage , pseudoephedrine )",
"output_json": "{\"relations\": [{\"head\": \"intracerebral hemorrhage\", \"relation\": \"adverse effect\", \"tail\": \"pseudoephedrine\"}]}",
"sentence": "CASE REPORT : We report a case of intracerebral hemorrhage occurring in a middle - aged man who suffered from chronic sinusitis and had been ingesting pseudoephedrine daily for one year ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : intracerebral hemorrhage , pseudoephedrine )
|
Option: adverse effect
|
{"relations": [{"head": "intracerebral hemorrhage", "relation": "adverse effect", "tail": "pseudoephedrine"}]}
|
( adverse effect : intracerebral hemorrhage , pseudoephedrine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCASE REPORT : We report a case of intracerebral hemorrhage occurring in a middle - aged man who suffered from chronic sinusitis and had been ingesting pseudoephedrine daily for one year .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "intracerebral hemorrhage", "relation": "adverse effect", "tail": "pseudoephedrine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Adriamycin toxicity , Adriamycin ) ; ( adverse effect : Adriamycin toxicity , Adriamycin ) ; ( adverse effect : Adriamycin toxicity , doxorubicin ) ; ( adverse effect : died , Adriamycin ) ; ( adverse effect : died , Adriamycin ) ; ( adverse effect : died , doxorubicin )",
"id": "127",
"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 : Adriamycin toxicity , Adriamycin ) ; ( adverse effect : Adriamycin toxicity , Adriamycin ) ; ( adverse effect : Adriamycin toxicity , doxorubicin ) ; ( adverse effect : died , Adriamycin ) ; ( adverse effect : died , Adriamycin ) ; ( adverse effect : died , doxorubicin )",
"output_json": "{\"relations\": [{\"head\": \"Adriamycin toxicity\", \"relation\": \"adverse effect\", \"tail\": \"Adriamycin\"}, {\"head\": \"Adriamycin toxicity\", \"relation\": \"adverse effect\", \"tail\": \"Adriamycin\"}, {\"head\": \"Adriamycin toxicity\", \"relation\": \"adverse effect\", \"tail\": \"doxorubicin\"}, {\"head\": \"died\", \"relation\": \"adverse effect\", \"tail\": \"Adriamycin\"}, {\"head\": \"died\", \"relation\": \"adverse effect\", \"tail\": \"Adriamycin\"}, {\"head\": \"died\", \"relation\": \"adverse effect\", \"tail\": \"doxorubicin\"}]}",
"sentence": "She was placed on adjuvant Adriamycin ( doxorubicin ) chemotherapy , but 6 months later died of Adriamycin 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 )".
|
( adverse effect : Adriamycin toxicity , Adriamycin ) ; ( adverse effect : Adriamycin toxicity , Adriamycin ) ; ( adverse effect : Adriamycin toxicity , doxorubicin ) ; ( adverse effect : died , Adriamycin ) ; ( adverse effect : died , Adriamycin ) ; ( adverse effect : died , doxorubicin )
|
Option: adverse effect
|
{"relations": [{"head": "Adriamycin toxicity", "relation": "adverse effect", "tail": "Adriamycin"}, {"head": "Adriamycin toxicity", "relation": "adverse effect", "tail": "Adriamycin"}, {"head": "Adriamycin toxicity", "relation": "adverse effect", "tail": "doxorubicin"}, {"head": "died", "relation": "adverse effect", "tail": "Adriamycin"}, {"head": "died", "relation": "adverse effect", "tail": "Adriamycin"}, {"head": "died", "relation": "adverse effect", "tail": "doxorubicin"}]}
|
( adverse effect : Adriamycin toxicity , Adriamycin ) ; ( adverse effect : Adriamycin toxicity , Adriamycin ) ; ( adverse effect : Adriamycin toxicity , doxorubicin ) ; ( adverse effect : died , Adriamycin ) ; ( adverse effect : died , Adriamycin ) ; ( adverse effect : died , doxorubicin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nShe was placed on adjuvant Adriamycin ( doxorubicin ) chemotherapy , but 6 months later died of Adriamycin toxicity .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Adriamycin toxicity", "relation": "adverse effect", "tail": "Adriamycin"}, {"head": "Adriamycin toxicity", "relation": "adverse effect", "tail": "Adriamycin"}, {"head": "Adriamycin toxicity", "relation": "adverse effect", "tail": "doxorubicin"}, {"head": "died", "relation": "adverse effect", "tail": "Adriamycin"}, {"head": "died", "relation": "adverse effect", "tail": "Adriamycin"}, {"head": "died", "relation": "adverse effect", "tail": "doxorubicin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : colonic ulcer , calcium polystyrene sulfonate ) ; ( adverse effect : colonic ulcer , sorbitol ) ; ( adverse effect : sigmoidovesical fistula , calcium polystyrene sulfonate ) ; ( adverse effect : sigmoidovesical fistula , sorbitol )",
"id": "128",
"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 : colonic ulcer , calcium polystyrene sulfonate ) ; ( adverse effect : colonic ulcer , sorbitol ) ; ( adverse effect : sigmoidovesical fistula , calcium polystyrene sulfonate ) ; ( adverse effect : sigmoidovesical fistula , sorbitol )",
"output_json": "{\"relations\": [{\"head\": \"colonic ulcer\", \"relation\": \"adverse effect\", \"tail\": \"calcium polystyrene sulfonate\"}, {\"head\": \"colonic ulcer\", \"relation\": \"adverse effect\", \"tail\": \"sorbitol\"}, {\"head\": \"sigmoidovesical fistula\", \"relation\": \"adverse effect\", \"tail\": \"calcium polystyrene sulfonate\"}, {\"head\": \"sigmoidovesical fistula\", \"relation\": \"adverse effect\", \"tail\": \"sorbitol\"}]}",
"sentence": "We concluded that the colonic ulcer and the sigmoidovesical fistula had been caused by the administration of calcium polystyrene sulfonate and sorbitol ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : colonic ulcer , calcium polystyrene sulfonate ) ; ( adverse effect : colonic ulcer , sorbitol ) ; ( adverse effect : sigmoidovesical fistula , calcium polystyrene sulfonate ) ; ( adverse effect : sigmoidovesical fistula , sorbitol )
|
Option: adverse effect
|
{"relations": [{"head": "colonic ulcer", "relation": "adverse effect", "tail": "calcium polystyrene sulfonate"}, {"head": "colonic ulcer", "relation": "adverse effect", "tail": "sorbitol"}, {"head": "sigmoidovesical fistula", "relation": "adverse effect", "tail": "calcium polystyrene sulfonate"}, {"head": "sigmoidovesical fistula", "relation": "adverse effect", "tail": "sorbitol"}]}
|
( adverse effect : colonic ulcer , calcium polystyrene sulfonate ) ; ( adverse effect : colonic ulcer , sorbitol ) ; ( adverse effect : sigmoidovesical fistula , calcium polystyrene sulfonate ) ; ( adverse effect : sigmoidovesical fistula , sorbitol )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWe concluded that the colonic ulcer and the sigmoidovesical fistula had been caused by the administration of calcium polystyrene sulfonate and sorbitol .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "colonic ulcer", "relation": "adverse effect", "tail": "calcium polystyrene sulfonate"}, {"head": "colonic ulcer", "relation": "adverse effect", "tail": "sorbitol"}, {"head": "sigmoidovesical fistula", "relation": "adverse effect", "tail": "calcium polystyrene sulfonate"}, {"head": "sigmoidovesical fistula", "relation": "adverse effect", "tail": "sorbitol"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : neurologic toxicity , 5-FU ) ; ( adverse effect : prolonged myelosuppression , 5-FU ) ; ( adverse effect : severe mucositis , 5-FU )",
"id": "129",
"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 toxicity , 5-FU ) ; ( adverse effect : prolonged myelosuppression , 5-FU ) ; ( adverse effect : severe mucositis , 5-FU )",
"output_json": "{\"relations\": [{\"head\": \"neurologic toxicity\", \"relation\": \"adverse effect\", \"tail\": \"5-FU\"}, {\"head\": \"prolonged myelosuppression\", \"relation\": \"adverse effect\", \"tail\": \"5-FU\"}, {\"head\": \"severe mucositis\", \"relation\": \"adverse effect\", \"tail\": \"5-FU\"}]}",
"sentence": "We describe the side effects of 5-FU in a colon cancer patient who suffered severe mucositis , desquamating dermatitis , prolonged myelosuppression , and neurologic toxicity that required admission to the intensive care unit ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : neurologic toxicity , 5-FU ) ; ( adverse effect : prolonged myelosuppression , 5-FU ) ; ( adverse effect : severe mucositis , 5-FU )
|
Option: adverse effect
|
{"relations": [{"head": "neurologic toxicity", "relation": "adverse effect", "tail": "5-FU"}, {"head": "prolonged myelosuppression", "relation": "adverse effect", "tail": "5-FU"}, {"head": "severe mucositis", "relation": "adverse effect", "tail": "5-FU"}]}
|
( adverse effect : neurologic toxicity , 5-FU ) ; ( adverse effect : prolonged myelosuppression , 5-FU ) ; ( adverse effect : severe mucositis , 5-FU )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWe describe the side effects of 5-FU in a colon cancer patient who suffered severe mucositis , desquamating dermatitis , prolonged myelosuppression , and neurologic toxicity that required admission to the intensive care unit .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "neurologic toxicity", "relation": "adverse effect", "tail": "5-FU"}, {"head": "prolonged myelosuppression", "relation": "adverse effect", "tail": "5-FU"}, {"head": "severe mucositis", "relation": "adverse effect", "tail": "5-FU"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : CD20-negative tumors , Rituximab )",
"id": "130",
"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 : CD20-negative tumors , Rituximab )",
"output_json": "{\"relations\": [{\"head\": \"CD20-negative tumors\", \"relation\": \"adverse effect\", \"tail\": \"Rituximab\"}]}",
"sentence": "Recently , CD20-negative tumors have been described after Rituximab 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 )".
|
( adverse effect : CD20-negative tumors , Rituximab )
|
Option: adverse effect
|
{"relations": [{"head": "CD20-negative tumors", "relation": "adverse effect", "tail": "Rituximab"}]}
|
( adverse effect : CD20-negative tumors , Rituximab )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nRecently , CD20-negative tumors have been described after Rituximab therapy .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "CD20-negative tumors", "relation": "adverse effect", "tail": "Rituximab"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : increase in INR , 5-FU ) ; ( adverse effect : increase in INR , warfarin )",
"id": "131",
"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 : increase in INR , 5-FU ) ; ( adverse effect : increase in INR , warfarin )",
"output_json": "{\"relations\": [{\"head\": \"increase in INR\", \"relation\": \"adverse effect\", \"tail\": \"5-FU\"}, {\"head\": \"increase in INR\", \"relation\": \"adverse effect\", \"tail\": \"warfarin\"}]}",
"sentence": "However , prolongation of 5-FU half - life and an increase in INR have been reported with the concurrent use of 5-FU and warfarin ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : increase in INR , 5-FU ) ; ( adverse effect : increase in INR , warfarin )
|
Option: adverse effect
|
{"relations": [{"head": "increase in INR", "relation": "adverse effect", "tail": "5-FU"}, {"head": "increase in INR", "relation": "adverse effect", "tail": "warfarin"}]}
|
( adverse effect : increase in INR , 5-FU ) ; ( adverse effect : increase in INR , warfarin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nHowever , prolongation of 5-FU half - life and an increase in INR have been reported with the concurrent use of 5-FU and warfarin .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "increase in INR", "relation": "adverse effect", "tail": "5-FU"}, {"head": "increase in INR", "relation": "adverse effect", "tail": "warfarin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Fatal acute encephalomyelitis , methotrexate )",
"id": "132",
"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 acute encephalomyelitis , methotrexate )",
"output_json": "{\"relations\": [{\"head\": \"Fatal acute encephalomyelitis\", \"relation\": \"adverse effect\", \"tail\": \"methotrexate\"}]}",
"sentence": "Fatal acute encephalomyelitis after a single dose of intrathecal methotrexate ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Fatal acute encephalomyelitis , methotrexate )
|
Option: adverse effect
|
{"relations": [{"head": "Fatal acute encephalomyelitis", "relation": "adverse effect", "tail": "methotrexate"}]}
|
( adverse effect : Fatal acute encephalomyelitis , methotrexate )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nFatal acute encephalomyelitis after a single dose of intrathecal methotrexate .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Fatal acute encephalomyelitis", "relation": "adverse effect", "tail": "methotrexate"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Hepatic reactions , cyclofenil )",
"id": "133",
"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 reactions , cyclofenil )",
"output_json": "{\"relations\": [{\"head\": \"Hepatic reactions\", \"relation\": \"adverse effect\", \"tail\": \"cyclofenil\"}]}",
"sentence": "Hepatic reactions to cyclofenil ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Hepatic reactions , cyclofenil )
|
Option: adverse effect
|
{"relations": [{"head": "Hepatic reactions", "relation": "adverse effect", "tail": "cyclofenil"}]}
|
( adverse effect : Hepatic reactions , cyclofenil )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nHepatic reactions to cyclofenil .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Hepatic reactions", "relation": "adverse effect", "tail": "cyclofenil"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hepatitis , diclofenac )",
"id": "134",
"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 : hepatitis , diclofenac )",
"output_json": "{\"relations\": [{\"head\": \"hepatitis\", \"relation\": \"adverse effect\", \"tail\": \"diclofenac\"}]}",
"sentence": "This patient , who had a history of osteoarthritis , had severe hepatitis 5 weeks after being started on diclofenac for increasing pain in the joints ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : hepatitis , diclofenac )
|
Option: adverse effect
|
{"relations": [{"head": "hepatitis", "relation": "adverse effect", "tail": "diclofenac"}]}
|
( adverse effect : hepatitis , diclofenac )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThis patient , who had a history of osteoarthritis , had severe hepatitis 5 weeks after being started on diclofenac for increasing pain in the joints .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "hepatitis", "relation": "adverse effect", "tail": "diclofenac"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : ischemic skin complications , vasopressin )",
"id": "135",
"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 : ischemic skin complications , vasopressin )",
"output_json": "{\"relations\": [{\"head\": \"ischemic skin complications\", \"relation\": \"adverse effect\", \"tail\": \"vasopressin\"}]}",
"sentence": "CONCLUSIONS : Peripheral administration of low - dose vasopressin for septic shock should be discouraged because of the risk of ischemic skin 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 )".
|
( adverse effect : ischemic skin complications , vasopressin )
|
Option: adverse effect
|
{"relations": [{"head": "ischemic skin complications", "relation": "adverse effect", "tail": "vasopressin"}]}
|
( adverse effect : ischemic skin complications , vasopressin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCONCLUSIONS : Peripheral administration of low - dose vasopressin for septic shock should be discouraged because of the risk of ischemic skin complications .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "ischemic skin complications", "relation": "adverse effect", "tail": "vasopressin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : TD , ziprasidone )",
"id": "136",
"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 : TD , ziprasidone )",
"output_json": "{\"relations\": [{\"head\": \"TD\", \"relation\": \"adverse effect\", \"tail\": \"ziprasidone\"}]}",
"sentence": "Two of our patients developed TD after 23 months and 34 months of ziprasidone monotherapy , respectively ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : TD , ziprasidone )
|
Option: adverse effect
|
{"relations": [{"head": "TD", "relation": "adverse effect", "tail": "ziprasidone"}]}
|
( adverse effect : TD , ziprasidone )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nTwo of our patients developed TD after 23 months and 34 months of ziprasidone monotherapy , respectively .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "TD", "relation": "adverse effect", "tail": "ziprasidone"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Worsening of neurologic syndrome , penicillamine )",
"id": "137",
"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 : Worsening of neurologic syndrome , penicillamine )",
"output_json": "{\"relations\": [{\"head\": \"Worsening of neurologic syndrome\", \"relation\": \"adverse effect\", \"tail\": \"penicillamine\"}]}",
"sentence": "Worsening of neurologic syndrome in patients with Wilson 's disease with initial 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 )".
|
( adverse effect : Worsening of neurologic syndrome , penicillamine )
|
Option: adverse effect
|
{"relations": [{"head": "Worsening of neurologic syndrome", "relation": "adverse effect", "tail": "penicillamine"}]}
|
( adverse effect : Worsening of neurologic syndrome , penicillamine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWorsening of neurologic syndrome in patients with Wilson 's disease with initial penicillamine therapy .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Worsening of neurologic syndrome", "relation": "adverse effect", "tail": "penicillamine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acral necrosis , bleomycin ) ; ( adverse effect : Raynaud 's phenomenon , bleomycin )",
"id": "138",
"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 : acral necrosis , bleomycin ) ; ( adverse effect : Raynaud 's phenomenon , bleomycin )",
"output_json": "{\"relations\": [{\"head\": \"acral necrosis\", \"relation\": \"adverse effect\", \"tail\": \"bleomycin\"}, {\"head\": \"Raynaud 's phenomenon\", \"relation\": \"adverse effect\", \"tail\": \"bleomycin\"}]}",
"sentence": "Because the combination of bleomycin and vinca alkaloids is commonly used for the treatment of AIDS - related Kaposi 's sarcoma , clinicians should be aware of the risk of provoking acral necrosis in patients who develop Raynaud 's phenomenon under 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 )".
|
( adverse effect : acral necrosis , bleomycin ) ; ( adverse effect : Raynaud 's phenomenon , bleomycin )
|
Option: adverse effect
|
{"relations": [{"head": "acral necrosis", "relation": "adverse effect", "tail": "bleomycin"}, {"head": "Raynaud 's phenomenon", "relation": "adverse effect", "tail": "bleomycin"}]}
|
( adverse effect : acral necrosis , bleomycin ) ; ( adverse effect : Raynaud 's phenomenon , bleomycin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nBecause the combination of bleomycin and vinca alkaloids is commonly used for the treatment of AIDS - related Kaposi 's sarcoma , clinicians should be aware of the risk of provoking acral necrosis in patients who develop Raynaud 's phenomenon under chemotherapy .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "acral necrosis", "relation": "adverse effect", "tail": "bleomycin"}, {"head": "Raynaud 's phenomenon", "relation": "adverse effect", "tail": "bleomycin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Systemic lupus erythematosus , penicillamine )",
"id": "139",
"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 : Systemic lupus erythematosus , penicillamine )",
"output_json": "{\"relations\": [{\"head\": \"Systemic lupus erythematosus\", \"relation\": \"adverse effect\", \"tail\": \"penicillamine\"}]}",
"sentence": "Systemic lupus erythematosus during penicillamine therapy for rheumatoid 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 )".
|
( adverse effect : Systemic lupus erythematosus , penicillamine )
|
Option: adverse effect
|
{"relations": [{"head": "Systemic lupus erythematosus", "relation": "adverse effect", "tail": "penicillamine"}]}
|
( adverse effect : Systemic lupus erythematosus , penicillamine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nSystemic lupus erythematosus during penicillamine therapy for rheumatoid arthritis .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Systemic lupus erythematosus", "relation": "adverse effect", "tail": "penicillamine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : rhabdomyolysis , sertraline )",
"id": "140",
"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 : rhabdomyolysis , sertraline )",
"output_json": "{\"relations\": [{\"head\": \"rhabdomyolysis\", \"relation\": \"adverse effect\", \"tail\": \"sertraline\"}]}",
"sentence": "OBJECTIVE : To describe a case of sertraline - induced rhabdomyolysis in an elderly patient with dementia and comorbidities ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : rhabdomyolysis , sertraline )
|
Option: adverse effect
|
{"relations": [{"head": "rhabdomyolysis", "relation": "adverse effect", "tail": "sertraline"}]}
|
( adverse effect : rhabdomyolysis , sertraline )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nOBJECTIVE : To describe a case of sertraline - induced rhabdomyolysis in an elderly patient with dementia and comorbidities .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "rhabdomyolysis", "relation": "adverse effect", "tail": "sertraline"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : SLE , CBZ )",
"id": "141",
"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 , CBZ )",
"output_json": "{\"relations\": [{\"head\": \"SLE\", \"relation\": \"adverse effect\", \"tail\": \"CBZ\"}]}",
"sentence": "The cases of CBZ - induced SLE reported in the literature were reviewed ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : SLE , CBZ )
|
Option: adverse effect
|
{"relations": [{"head": "SLE", "relation": "adverse effect", "tail": "CBZ"}]}
|
( adverse effect : SLE , CBZ )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe cases of CBZ - induced SLE reported in the literature were reviewed .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "SLE", "relation": "adverse effect", "tail": "CBZ"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : lethal complication , L - asparaginase ) ; ( adverse effect : pancreatitis , L - asparaginase )",
"id": "142",
"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 complication , L - asparaginase ) ; ( adverse effect : pancreatitis , L - asparaginase )",
"output_json": "{\"relations\": [{\"head\": \"lethal complication\", \"relation\": \"adverse effect\", \"tail\": \"L - asparaginase\"}, {\"head\": \"pancreatitis\", \"relation\": \"adverse effect\", \"tail\": \"L - asparaginase\"}]}",
"sentence": "L - asparaginase - induced pancreatitis is an uncommon but potential lethal complication of the treatment of leukemia ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : lethal complication , L - asparaginase ) ; ( adverse effect : pancreatitis , L - asparaginase )
|
Option: adverse effect
|
{"relations": [{"head": "lethal complication", "relation": "adverse effect", "tail": "L - asparaginase"}, {"head": "pancreatitis", "relation": "adverse effect", "tail": "L - asparaginase"}]}
|
( adverse effect : lethal complication , L - asparaginase ) ; ( adverse effect : pancreatitis , L - asparaginase )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nL - asparaginase - induced pancreatitis is an uncommon but potential lethal complication of the treatment of leukemia .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "lethal complication", "relation": "adverse effect", "tail": "L - asparaginase"}, {"head": "pancreatitis", "relation": "adverse effect", "tail": "L - asparaginase"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : anterior subcapsular opacity on the lens , finasteride ) ; ( adverse effect : anterior subcapsular opacity on the lens , finasteride )",
"id": "143",
"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 : anterior subcapsular opacity on the lens , finasteride ) ; ( adverse effect : anterior subcapsular opacity on the lens , finasteride )",
"output_json": "{\"relations\": [{\"head\": \"anterior subcapsular opacity on the lens\", \"relation\": \"adverse effect\", \"tail\": \"finasteride\"}, {\"head\": \"anterior subcapsular opacity on the lens\", \"relation\": \"adverse effect\", \"tail\": \"finasteride\"}]}",
"sentence": "It was highly suspected that finasteride was associated with the anterior subcapsular opacity on the lens , and the patient therefore discontinued use of finasteride ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : anterior subcapsular opacity on the lens , finasteride ) ; ( adverse effect : anterior subcapsular opacity on the lens , finasteride )
|
Option: adverse effect
|
{"relations": [{"head": "anterior subcapsular opacity on the lens", "relation": "adverse effect", "tail": "finasteride"}, {"head": "anterior subcapsular opacity on the lens", "relation": "adverse effect", "tail": "finasteride"}]}
|
( adverse effect : anterior subcapsular opacity on the lens , finasteride ) ; ( adverse effect : anterior subcapsular opacity on the lens , finasteride )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nIt was highly suspected that finasteride was associated with the anterior subcapsular opacity on the lens , and the patient therefore discontinued use of finasteride .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "anterior subcapsular opacity on the lens", "relation": "adverse effect", "tail": "finasteride"}, {"head": "anterior subcapsular opacity on the lens", "relation": "adverse effect", "tail": "finasteride"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute cardiovascular event , venlafaxine )",
"id": "144",
"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 cardiovascular event , venlafaxine )",
"output_json": "{\"relations\": [{\"head\": \"acute cardiovascular event\", \"relation\": \"adverse effect\", \"tail\": \"venlafaxine\"}]}",
"sentence": "This is the first report of a possible association between an acute cardiovascular event and venlafaxine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : acute cardiovascular event , venlafaxine )
|
Option: adverse effect
|
{"relations": [{"head": "acute cardiovascular event", "relation": "adverse effect", "tail": "venlafaxine"}]}
|
( adverse effect : acute cardiovascular event , venlafaxine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThis is the first report of a possible association between an acute cardiovascular event and venlafaxine .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "acute cardiovascular event", "relation": "adverse effect", "tail": "venlafaxine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Restless legs syndrome , IFN alpha )",
"id": "145",
"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 : Restless legs syndrome , IFN alpha )",
"output_json": "{\"relations\": [{\"head\": \"Restless legs syndrome\", \"relation\": \"adverse effect\", \"tail\": \"IFN alpha\"}]}",
"sentence": "Restless legs syndrome may thus be an adverse effect of IFN alpha 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 )".
|
( adverse effect : Restless legs syndrome , IFN alpha )
|
Option: adverse effect
|
{"relations": [{"head": "Restless legs syndrome", "relation": "adverse effect", "tail": "IFN alpha"}]}
|
( adverse effect : Restless legs syndrome , IFN alpha )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nRestless legs syndrome may thus be an adverse effect of IFN alpha treatment .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Restless legs syndrome", "relation": "adverse effect", "tail": "IFN alpha"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Rebound hyperglycemia , protamine hagedorn ) ; ( adverse effect : Rebound hyperglycemia , protamine zinc iletin )",
"id": "146",
"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 : Rebound hyperglycemia , protamine hagedorn ) ; ( adverse effect : Rebound hyperglycemia , protamine zinc iletin )",
"output_json": "{\"relations\": [{\"head\": \"Rebound hyperglycemia\", \"relation\": \"adverse effect\", \"tail\": \"protamine hagedorn\"}, {\"head\": \"Rebound hyperglycemia\", \"relation\": \"adverse effect\", \"tail\": \"protamine zinc iletin\"}]}",
"sentence": "Rebound hyperglycemia was observed with both intermediate ( neutral protamine hagedorn ) and long - acting ( protamine zinc iletin ) insulins , and the range of insulin doses at which the disorder developed overlapped previously determined therapeutic doses for these insulins in the cat ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Rebound hyperglycemia , protamine hagedorn ) ; ( adverse effect : Rebound hyperglycemia , protamine zinc iletin )
|
Option: adverse effect
|
{"relations": [{"head": "Rebound hyperglycemia", "relation": "adverse effect", "tail": "protamine hagedorn"}, {"head": "Rebound hyperglycemia", "relation": "adverse effect", "tail": "protamine zinc iletin"}]}
|
( adverse effect : Rebound hyperglycemia , protamine hagedorn ) ; ( adverse effect : Rebound hyperglycemia , protamine zinc iletin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nRebound hyperglycemia was observed with both intermediate ( neutral protamine hagedorn ) and long - acting ( protamine zinc iletin ) insulins , and the range of insulin doses at which the disorder developed overlapped previously determined therapeutic doses for these insulins in the cat .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Rebound hyperglycemia", "relation": "adverse effect", "tail": "protamine hagedorn"}, {"head": "Rebound hyperglycemia", "relation": "adverse effect", "tail": "protamine zinc iletin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Hepato - biliary abnormalities , ceftriaxone )",
"id": "147",
"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 : Hepato - biliary abnormalities , ceftriaxone )",
"output_json": "{\"relations\": [{\"head\": \"Hepato - biliary abnormalities\", \"relation\": \"adverse effect\", \"tail\": \"ceftriaxone\"}]}",
"sentence": "Hepato - biliary abnormalities secondary to ceftriaxone use : a case report ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Hepato - biliary abnormalities , ceftriaxone )
|
Option: adverse effect
|
{"relations": [{"head": "Hepato - biliary abnormalities", "relation": "adverse effect", "tail": "ceftriaxone"}]}
|
( adverse effect : Hepato - biliary abnormalities , ceftriaxone )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nHepato - biliary abnormalities secondary to ceftriaxone use : a case report .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Hepato - biliary abnormalities", "relation": "adverse effect", "tail": "ceftriaxone"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : pigmentary changes , 5-fluorouracil )",
"id": "148",
"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 : pigmentary changes , 5-fluorouracil )",
"output_json": "{\"relations\": [{\"head\": \"pigmentary changes\", \"relation\": \"adverse effect\", \"tail\": \"5-fluorouracil\"}]}",
"sentence": "Unusual pigmentary changes associated with 5-fluorouracil 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 )".
|
( adverse effect : pigmentary changes , 5-fluorouracil )
|
Option: adverse effect
|
{"relations": [{"head": "pigmentary changes", "relation": "adverse effect", "tail": "5-fluorouracil"}]}
|
( adverse effect : pigmentary changes , 5-fluorouracil )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nUnusual pigmentary changes associated with 5-fluorouracil therapy .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "pigmentary changes", "relation": "adverse effect", "tail": "5-fluorouracil"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : thrombocytopenia , lansoprazole ) ; ( adverse effect : thrombocytopenic , lansoprazole )",
"id": "149",
"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 : thrombocytopenia , lansoprazole ) ; ( adverse effect : thrombocytopenic , lansoprazole )",
"output_json": "{\"relations\": [{\"head\": \"thrombocytopenia\", \"relation\": \"adverse effect\", \"tail\": \"lansoprazole\"}, {\"head\": \"thrombocytopenic\", \"relation\": \"adverse effect\", \"tail\": \"lansoprazole\"}]}",
"sentence": "DISCUSSION : After exclusion of other causes , the onset of thrombocytopenia after administration of lansoprazole , the resolution of the adverse reaction after discontinuation of the drug , and the fact that no other medicines were introduced during this time frame lead us to believe that this was most likely an idiosyncratic thrombocytopenic response to lansoprazole ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : thrombocytopenia , lansoprazole ) ; ( adverse effect : thrombocytopenic , lansoprazole )
|
Option: adverse effect
|
{"relations": [{"head": "thrombocytopenia", "relation": "adverse effect", "tail": "lansoprazole"}, {"head": "thrombocytopenic", "relation": "adverse effect", "tail": "lansoprazole"}]}
|
( adverse effect : thrombocytopenia , lansoprazole ) ; ( adverse effect : thrombocytopenic , lansoprazole )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nDISCUSSION : After exclusion of other causes , the onset of thrombocytopenia after administration of lansoprazole , the resolution of the adverse reaction after discontinuation of the drug , and the fact that no other medicines were introduced during this time frame lead us to believe that this was most likely an idiosyncratic thrombocytopenic response to lansoprazole .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "thrombocytopenia", "relation": "adverse effect", "tail": "lansoprazole"}, {"head": "thrombocytopenic", "relation": "adverse effect", "tail": "lansoprazole"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : positive U waves , phenylephrine )",
"id": "150",
"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 : positive U waves , phenylephrine )",
"output_json": "{\"relations\": [{\"head\": \"positive U waves\", \"relation\": \"adverse effect\", \"tail\": \"phenylephrine\"}]}",
"sentence": "While on a maximal dose of phenylephrine she developed prominent positive U waves , which disappeared with the cessation of 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 )".
|
( adverse effect : positive U waves , phenylephrine )
|
Option: adverse effect
|
{"relations": [{"head": "positive U waves", "relation": "adverse effect", "tail": "phenylephrine"}]}
|
( adverse effect : positive U waves , phenylephrine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWhile on a maximal dose of phenylephrine she developed prominent positive U waves , which disappeared with the cessation of the drug .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "positive U waves", "relation": "adverse effect", "tail": "phenylephrine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : interstitial pulmonary disease , Ticlopidine )",
"id": "151",
"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 pulmonary disease , Ticlopidine )",
"output_json": "{\"relations\": [{\"head\": \"interstitial pulmonary disease\", \"relation\": \"adverse effect\", \"tail\": \"Ticlopidine\"}]}",
"sentence": "Ticlopidine - induced interstitial pulmonary disease : a case report ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : interstitial pulmonary disease , Ticlopidine )
|
Option: adverse effect
|
{"relations": [{"head": "interstitial pulmonary disease", "relation": "adverse effect", "tail": "Ticlopidine"}]}
|
( adverse effect : interstitial pulmonary disease , Ticlopidine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nTiclopidine - induced interstitial pulmonary disease : a case report .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "interstitial pulmonary disease", "relation": "adverse effect", "tail": "Ticlopidine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Acute lung injury , 5-fluorouracil ) ; ( adverse effect : Acute lung injury , oxaliplatinum )",
"id": "152",
"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 lung injury , 5-fluorouracil ) ; ( adverse effect : Acute lung injury , oxaliplatinum )",
"output_json": "{\"relations\": [{\"head\": \"Acute lung injury\", \"relation\": \"adverse effect\", \"tail\": \"5-fluorouracil\"}, {\"head\": \"Acute lung injury\", \"relation\": \"adverse effect\", \"tail\": \"oxaliplatinum\"}]}",
"sentence": "Acute lung injury associated with 5-fluorouracil and oxaliplatinum combined 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 )".
|
( adverse effect : Acute lung injury , 5-fluorouracil ) ; ( adverse effect : Acute lung injury , oxaliplatinum )
|
Option: adverse effect
|
{"relations": [{"head": "Acute lung injury", "relation": "adverse effect", "tail": "5-fluorouracil"}, {"head": "Acute lung injury", "relation": "adverse effect", "tail": "oxaliplatinum"}]}
|
( adverse effect : Acute lung injury , 5-fluorouracil ) ; ( adverse effect : Acute lung injury , oxaliplatinum )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nAcute lung injury associated with 5-fluorouracil and oxaliplatinum combined chemotherapy .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Acute lung injury", "relation": "adverse effect", "tail": "5-fluorouracil"}, {"head": "Acute lung injury", "relation": "adverse effect", "tail": "oxaliplatinum"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : liver injury , itraconazole )",
"id": "153",
"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 : liver injury , itraconazole )",
"output_json": "{\"relations\": [{\"head\": \"liver injury\", \"relation\": \"adverse effect\", \"tail\": \"itraconazole\"}]}",
"sentence": "METHODS : Three patients with apparent itraconazole - induced liver injury were studied ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : liver injury , itraconazole )
|
Option: adverse effect
|
{"relations": [{"head": "liver injury", "relation": "adverse effect", "tail": "itraconazole"}]}
|
( adverse effect : liver injury , itraconazole )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nMETHODS : Three patients with apparent itraconazole - induced liver injury were studied .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "liver injury", "relation": "adverse effect", "tail": "itraconazole"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Hypersensitivity reactions , cyclosporine )",
"id": "154",
"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 reactions , cyclosporine )",
"output_json": "{\"relations\": [{\"head\": \"Hypersensitivity reactions\", \"relation\": \"adverse effect\", \"tail\": \"cyclosporine\"}]}",
"sentence": "BACKGROUND : Hypersensitivity reactions to cyclosporine are 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 )".
|
( adverse effect : Hypersensitivity reactions , cyclosporine )
|
Option: adverse effect
|
{"relations": [{"head": "Hypersensitivity reactions", "relation": "adverse effect", "tail": "cyclosporine"}]}
|
( adverse effect : Hypersensitivity reactions , cyclosporine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nBACKGROUND : Hypersensitivity reactions to cyclosporine are rare .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Hypersensitivity reactions", "relation": "adverse effect", "tail": "cyclosporine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : IgG lambda - type monoclonal gammopathy , DILANTIN ) ; ( adverse effect : IgG lambda - type monoclonal gammopathy , diphenylhydantoin ) ; ( adverse effect : multiple myeloma , DILANTIN ) ; ( adverse effect : multiple myeloma , diphenylhydantoin )",
"id": "155",
"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 : IgG lambda - type monoclonal gammopathy , DILANTIN ) ; ( adverse effect : IgG lambda - type monoclonal gammopathy , diphenylhydantoin ) ; ( adverse effect : multiple myeloma , DILANTIN ) ; ( adverse effect : multiple myeloma , diphenylhydantoin )",
"output_json": "{\"relations\": [{\"head\": \"IgG lambda - type monoclonal gammopathy\", \"relation\": \"adverse effect\", \"tail\": \"DILANTIN\"}, {\"head\": \"IgG lambda - type monoclonal gammopathy\", \"relation\": \"adverse effect\", \"tail\": \"diphenylhydantoin\"}, {\"head\": \"multiple myeloma\", \"relation\": \"adverse effect\", \"tail\": \"DILANTIN\"}, {\"head\": \"multiple myeloma\", \"relation\": \"adverse effect\", \"tail\": \"diphenylhydantoin\"}]}",
"sentence": "The development of an IgG lambda - type monoclonal gammopathy and subsequent multiple myeloma in an epilepsy patient on diphenylhydantoin ( DILANTIN ) therapy for 20 years is reported ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : IgG lambda - type monoclonal gammopathy , DILANTIN ) ; ( adverse effect : IgG lambda - type monoclonal gammopathy , diphenylhydantoin ) ; ( adverse effect : multiple myeloma , DILANTIN ) ; ( adverse effect : multiple myeloma , diphenylhydantoin )
|
Option: adverse effect
|
{"relations": [{"head": "IgG lambda - type monoclonal gammopathy", "relation": "adverse effect", "tail": "DILANTIN"}, {"head": "IgG lambda - type monoclonal gammopathy", "relation": "adverse effect", "tail": "diphenylhydantoin"}, {"head": "multiple myeloma", "relation": "adverse effect", "tail": "DILANTIN"}, {"head": "multiple myeloma", "relation": "adverse effect", "tail": "diphenylhydantoin"}]}
|
( adverse effect : IgG lambda - type monoclonal gammopathy , DILANTIN ) ; ( adverse effect : IgG lambda - type monoclonal gammopathy , diphenylhydantoin ) ; ( adverse effect : multiple myeloma , DILANTIN ) ; ( adverse effect : multiple myeloma , diphenylhydantoin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe development of an IgG lambda - type monoclonal gammopathy and subsequent multiple myeloma in an epilepsy patient on diphenylhydantoin ( DILANTIN ) therapy for 20 years is reported .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "IgG lambda - type monoclonal gammopathy", "relation": "adverse effect", "tail": "DILANTIN"}, {"head": "IgG lambda - type monoclonal gammopathy", "relation": "adverse effect", "tail": "diphenylhydantoin"}, {"head": "multiple myeloma", "relation": "adverse effect", "tail": "DILANTIN"}, {"head": "multiple myeloma", "relation": "adverse effect", "tail": "diphenylhydantoin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : bilateral optic neuritis , recombinant interferon alpha-2b ) ; ( adverse effect : bowel and bladder dysfunction , recombinant interferon alpha-2b ) ; ( adverse effect : numbness of the lower extremities , recombinant interferon alpha-2b )",
"id": "156",
"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 optic neuritis , recombinant interferon alpha-2b ) ; ( adverse effect : bowel and bladder dysfunction , recombinant interferon alpha-2b ) ; ( adverse effect : numbness of the lower extremities , recombinant interferon alpha-2b )",
"output_json": "{\"relations\": [{\"head\": \"bilateral optic neuritis\", \"relation\": \"adverse effect\", \"tail\": \"recombinant interferon alpha-2b\"}, {\"head\": \"bowel and bladder dysfunction\", \"relation\": \"adverse effect\", \"tail\": \"recombinant interferon alpha-2b\"}, {\"head\": \"numbness of the lower extremities\", \"relation\": \"adverse effect\", \"tail\": \"recombinant interferon alpha-2b\"}]}",
"sentence": "Case 2 , a 29-year - old woman , developed bilateral optic neuritis combined with numbness of the lower extremities as well as bowel and bladder dysfunction after a 22-month use of recombinant interferon alpha-2b for chronic myelogenous leukemia ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : bilateral optic neuritis , recombinant interferon alpha-2b ) ; ( adverse effect : bowel and bladder dysfunction , recombinant interferon alpha-2b ) ; ( adverse effect : numbness of the lower extremities , recombinant interferon alpha-2b )
|
Option: adverse effect
|
{"relations": [{"head": "bilateral optic neuritis", "relation": "adverse effect", "tail": "recombinant interferon alpha-2b"}, {"head": "bowel and bladder dysfunction", "relation": "adverse effect", "tail": "recombinant interferon alpha-2b"}, {"head": "numbness of the lower extremities", "relation": "adverse effect", "tail": "recombinant interferon alpha-2b"}]}
|
( adverse effect : bilateral optic neuritis , recombinant interferon alpha-2b ) ; ( adverse effect : bowel and bladder dysfunction , recombinant interferon alpha-2b ) ; ( adverse effect : numbness of the lower extremities , recombinant interferon alpha-2b )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCase 2 , a 29-year - old woman , developed bilateral optic neuritis combined with numbness of the lower extremities as well as bowel and bladder dysfunction after a 22-month use of recombinant interferon alpha-2b for chronic myelogenous leukemia .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "bilateral optic neuritis", "relation": "adverse effect", "tail": "recombinant interferon alpha-2b"}, {"head": "bowel and bladder dysfunction", "relation": "adverse effect", "tail": "recombinant interferon alpha-2b"}, {"head": "numbness of the lower extremities", "relation": "adverse effect", "tail": "recombinant interferon alpha-2b"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : longitudinal melanonychia , hydroxyurea ) ; ( adverse effect : multiple skin cancers , hydroxyurea )",
"id": "157",
"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 : longitudinal melanonychia , hydroxyurea ) ; ( adverse effect : multiple skin cancers , hydroxyurea )",
"output_json": "{\"relations\": [{\"head\": \"longitudinal melanonychia\", \"relation\": \"adverse effect\", \"tail\": \"hydroxyurea\"}, {\"head\": \"multiple skin cancers\", \"relation\": \"adverse effect\", \"tail\": \"hydroxyurea\"}]}",
"sentence": "Both the longitudinal melanonychia and the multiple skin cancers first appeared after approximately 6 months of hydroxyurea 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 )".
|
( adverse effect : longitudinal melanonychia , hydroxyurea ) ; ( adverse effect : multiple skin cancers , hydroxyurea )
|
Option: adverse effect
|
{"relations": [{"head": "longitudinal melanonychia", "relation": "adverse effect", "tail": "hydroxyurea"}, {"head": "multiple skin cancers", "relation": "adverse effect", "tail": "hydroxyurea"}]}
|
( adverse effect : longitudinal melanonychia , hydroxyurea ) ; ( adverse effect : multiple skin cancers , hydroxyurea )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nBoth the longitudinal melanonychia and the multiple skin cancers first appeared after approximately 6 months of hydroxyurea treatment .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "longitudinal melanonychia", "relation": "adverse effect", "tail": "hydroxyurea"}, {"head": "multiple skin cancers", "relation": "adverse effect", "tail": "hydroxyurea"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : cataract , Propecia )",
"id": "158",
"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 : cataract , Propecia )",
"output_json": "{\"relations\": [{\"head\": \"cataract\", \"relation\": \"adverse effect\", \"tail\": \"Propecia\"}]}",
"sentence": "To the best of the authors ' knowledge , this is the first reported case of Propecia - associated cataract ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : cataract , Propecia )
|
Option: adverse effect
|
{"relations": [{"head": "cataract", "relation": "adverse effect", "tail": "Propecia"}]}
|
( adverse effect : cataract , Propecia )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nTo the best of the authors ' knowledge , this is the first reported case of Propecia - associated cataract .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "cataract", "relation": "adverse effect", "tail": "Propecia"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : fulminant hepatic failure , clarithromycin ) ; ( adverse effect : liver failure , clarithromycin )",
"id": "159",
"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 : fulminant hepatic failure , clarithromycin ) ; ( adverse effect : liver failure , clarithromycin )",
"output_json": "{\"relations\": [{\"head\": \"fulminant hepatic failure\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}, {\"head\": \"liver failure\", \"relation\": \"adverse effect\", \"tail\": \"clarithromycin\"}]}",
"sentence": "The most likely cause of liver failure in this patient was , therefore , clarithromycin , which undergoes hepatic metabolism and has been reported to cause fulminant hepatic 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 )".
|
( adverse effect : fulminant hepatic failure , clarithromycin ) ; ( adverse effect : liver failure , clarithromycin )
|
Option: adverse effect
|
{"relations": [{"head": "fulminant hepatic failure", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "liver failure", "relation": "adverse effect", "tail": "clarithromycin"}]}
|
( adverse effect : fulminant hepatic failure , clarithromycin ) ; ( adverse effect : liver failure , clarithromycin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe most likely cause of liver failure in this patient was , therefore , clarithromycin , which undergoes hepatic metabolism and has been reported to cause fulminant hepatic failure .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "fulminant hepatic failure", "relation": "adverse effect", "tail": "clarithromycin"}, {"head": "liver failure", "relation": "adverse effect", "tail": "clarithromycin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Cardiomyopathy , actinomycin - D ) ; ( adverse effect : Cardiomyopathy , adriamycin ) ; ( adverse effect : Cardiomyopathy , mithramycin )",
"id": "160",
"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 : Cardiomyopathy , actinomycin - D ) ; ( adverse effect : Cardiomyopathy , adriamycin ) ; ( adverse effect : Cardiomyopathy , mithramycin )",
"output_json": "{\"relations\": [{\"head\": \"Cardiomyopathy\", \"relation\": \"adverse effect\", \"tail\": \"actinomycin - D\"}, {\"head\": \"Cardiomyopathy\", \"relation\": \"adverse effect\", \"tail\": \"adriamycin\"}, {\"head\": \"Cardiomyopathy\", \"relation\": \"adverse effect\", \"tail\": \"mithramycin\"}]}",
"sentence": "Cardiomyopathy after widely separated courses of adriamycin exacerbated by actinomycin - D and mithramycin ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Cardiomyopathy , actinomycin - D ) ; ( adverse effect : Cardiomyopathy , adriamycin ) ; ( adverse effect : Cardiomyopathy , mithramycin )
|
Option: adverse effect
|
{"relations": [{"head": "Cardiomyopathy", "relation": "adverse effect", "tail": "actinomycin - D"}, {"head": "Cardiomyopathy", "relation": "adverse effect", "tail": "adriamycin"}, {"head": "Cardiomyopathy", "relation": "adverse effect", "tail": "mithramycin"}]}
|
( adverse effect : Cardiomyopathy , actinomycin - D ) ; ( adverse effect : Cardiomyopathy , adriamycin ) ; ( adverse effect : Cardiomyopathy , mithramycin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCardiomyopathy after widely separated courses of adriamycin exacerbated by actinomycin - D and mithramycin .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Cardiomyopathy", "relation": "adverse effect", "tail": "actinomycin - D"}, {"head": "Cardiomyopathy", "relation": "adverse effect", "tail": "adriamycin"}, {"head": "Cardiomyopathy", "relation": "adverse effect", "tail": "mithramycin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acne , gold ) ; ( adverse effect : Lichen planus , gold )",
"id": "161",
"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 : acne , gold ) ; ( adverse effect : Lichen planus , gold )",
"output_json": "{\"relations\": [{\"head\": \"acne\", \"relation\": \"adverse effect\", \"tail\": \"gold\"}, {\"head\": \"Lichen planus\", \"relation\": \"adverse effect\", \"tail\": \"gold\"}]}",
"sentence": "Lichen planus and acne provoked by gold ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : acne , gold ) ; ( adverse effect : Lichen planus , gold )
|
Option: adverse effect
|
{"relations": [{"head": "acne", "relation": "adverse effect", "tail": "gold"}, {"head": "Lichen planus", "relation": "adverse effect", "tail": "gold"}]}
|
( adverse effect : acne , gold ) ; ( adverse effect : Lichen planus , gold )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nLichen planus and acne provoked by gold .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "acne", "relation": "adverse effect", "tail": "gold"}, {"head": "Lichen planus", "relation": "adverse effect", "tail": "gold"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Acute ischaemia of the leg , flunitrazepam )",
"id": "162",
"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 ischaemia of the leg , flunitrazepam )",
"output_json": "{\"relations\": [{\"head\": \"Acute ischaemia of the leg\", \"relation\": \"adverse effect\", \"tail\": \"flunitrazepam\"}]}",
"sentence": "Acute ischaemia of the leg following accidental intra - arterial injection of dissolved flunitrazepam tablets ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Acute ischaemia of the leg , flunitrazepam )
|
Option: adverse effect
|
{"relations": [{"head": "Acute ischaemia of the leg", "relation": "adverse effect", "tail": "flunitrazepam"}]}
|
( adverse effect : Acute ischaemia of the leg , flunitrazepam )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nAcute ischaemia of the leg following accidental intra - arterial injection of dissolved flunitrazepam tablets .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Acute ischaemia of the leg", "relation": "adverse effect", "tail": "flunitrazepam"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hepatic veno - occlusive disease , busulfan ) ; ( adverse effect : HVOD , busulfan ) ; ( adverse effect : thrombosis , busulfan )",
"id": "163",
"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 veno - occlusive disease , busulfan ) ; ( adverse effect : HVOD , busulfan ) ; ( adverse effect : thrombosis , busulfan )",
"output_json": "{\"relations\": [{\"head\": \"hepatic veno - occlusive disease\", \"relation\": \"adverse effect\", \"tail\": \"busulfan\"}, {\"head\": \"HVOD\", \"relation\": \"adverse effect\", \"tail\": \"busulfan\"}, {\"head\": \"thrombosis\", \"relation\": \"adverse effect\", \"tail\": \"busulfan\"}]}",
"sentence": "In four patients , thrombosis occurred 2 - 45 days after severe hepatic veno - occlusive disease ( HVOD ) secondary to intensive chemotherapy containing busulfan ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : hepatic veno - occlusive disease , busulfan ) ; ( adverse effect : HVOD , busulfan ) ; ( adverse effect : thrombosis , busulfan )
|
Option: adverse effect
|
{"relations": [{"head": "hepatic veno - occlusive disease", "relation": "adverse effect", "tail": "busulfan"}, {"head": "HVOD", "relation": "adverse effect", "tail": "busulfan"}, {"head": "thrombosis", "relation": "adverse effect", "tail": "busulfan"}]}
|
( adverse effect : hepatic veno - occlusive disease , busulfan ) ; ( adverse effect : HVOD , busulfan ) ; ( adverse effect : thrombosis , busulfan )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nIn four patients , thrombosis occurred 2 - 45 days after severe hepatic veno - occlusive disease ( HVOD ) secondary to intensive chemotherapy containing busulfan .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "hepatic veno - occlusive disease", "relation": "adverse effect", "tail": "busulfan"}, {"head": "HVOD", "relation": "adverse effect", "tail": "busulfan"}, {"head": "thrombosis", "relation": "adverse effect", "tail": "busulfan"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : depression , Risperidone ) ; ( adverse effect : psychosis , Risperidone )",
"id": "164",
"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 : depression , Risperidone ) ; ( adverse effect : psychosis , Risperidone )",
"output_json": "{\"relations\": [{\"head\": \"depression\", \"relation\": \"adverse effect\", \"tail\": \"Risperidone\"}, {\"head\": \"psychosis\", \"relation\": \"adverse effect\", \"tail\": \"Risperidone\"}]}",
"sentence": "Risperidone - induced psychosis and depression in a child with a mitochondrial 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 )".
|
( adverse effect : depression , Risperidone ) ; ( adverse effect : psychosis , Risperidone )
|
Option: adverse effect
|
{"relations": [{"head": "depression", "relation": "adverse effect", "tail": "Risperidone"}, {"head": "psychosis", "relation": "adverse effect", "tail": "Risperidone"}]}
|
( adverse effect : depression , Risperidone ) ; ( adverse effect : psychosis , Risperidone )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nRisperidone - induced psychosis and depression in a child with a mitochondrial disorder .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "depression", "relation": "adverse effect", "tail": "Risperidone"}, {"head": "psychosis", "relation": "adverse effect", "tail": "Risperidone"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Cutaneous rashes , carbamazepine ) ; ( adverse effect : eruptions , carbamazepine )",
"id": "165",
"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 rashes , carbamazepine ) ; ( adverse effect : eruptions , carbamazepine )",
"output_json": "{\"relations\": [{\"head\": \"Cutaneous rashes\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}, {\"head\": \"eruptions\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}]}",
"sentence": "Cutaneous rashes and eruptions can be caused by many medications , including 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 )".
|
( adverse effect : Cutaneous rashes , carbamazepine ) ; ( adverse effect : eruptions , carbamazepine )
|
Option: adverse effect
|
{"relations": [{"head": "Cutaneous rashes", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "eruptions", "relation": "adverse effect", "tail": "carbamazepine"}]}
|
( adverse effect : Cutaneous rashes , carbamazepine ) ; ( adverse effect : eruptions , carbamazepine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCutaneous rashes and eruptions can be caused by many medications , including carbamazepine .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Cutaneous rashes", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "eruptions", "relation": "adverse effect", "tail": "carbamazepine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : lung cancer , methotrexate )",
"id": "166",
"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 : lung cancer , methotrexate )",
"output_json": "{\"relations\": [{\"head\": \"lung cancer\", \"relation\": \"adverse effect\", \"tail\": \"methotrexate\"}]}",
"sentence": "In this case , it was suspected that a combination of cigarette smoking , pulmonary fibrosis , and low - dose methotrexate therapy might have promoted the development of lung cancer ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : lung cancer , methotrexate )
|
Option: adverse effect
|
{"relations": [{"head": "lung cancer", "relation": "adverse effect", "tail": "methotrexate"}]}
|
( adverse effect : lung cancer , methotrexate )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nIn this case , it was suspected that a combination of cigarette smoking , pulmonary fibrosis , and low - dose methotrexate therapy might have promoted the development of lung cancer .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "lung cancer", "relation": "adverse effect", "tail": "methotrexate"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute oliguric renal failure , PI )",
"id": "167",
"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 oliguric renal failure , PI )",
"output_json": "{\"relations\": [{\"head\": \"acute oliguric renal failure\", \"relation\": \"adverse effect\", \"tail\": \"PI\"}]}",
"sentence": "We describe a 63 year old woman with a suppurative mediastinitis , treated with continuous PI irrigation who developed an acute oliguric 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 )".
|
( adverse effect : acute oliguric renal failure , PI )
|
Option: adverse effect
|
{"relations": [{"head": "acute oliguric renal failure", "relation": "adverse effect", "tail": "PI"}]}
|
( adverse effect : acute oliguric renal failure , PI )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWe describe a 63 year old woman with a suppurative mediastinitis , treated with continuous PI irrigation who developed an acute oliguric renal failure .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "acute oliguric renal failure", "relation": "adverse effect", "tail": "PI"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : thrombotic microangiopathy , quinine )",
"id": "168",
"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 : thrombotic microangiopathy , quinine )",
"output_json": "{\"relations\": [{\"head\": \"thrombotic microangiopathy\", \"relation\": \"adverse effect\", \"tail\": \"quinine\"}]}",
"sentence": "We recommend that a TMA in association with quinine be consistently referred to as quinine - associated thrombotic microangiopathy ( quinine - TMA ) to better distinguish this entity from idiopathic TTP ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : thrombotic microangiopathy , quinine )
|
Option: adverse effect
|
{"relations": [{"head": "thrombotic microangiopathy", "relation": "adverse effect", "tail": "quinine"}]}
|
( adverse effect : thrombotic microangiopathy , quinine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWe recommend that a TMA in association with quinine be consistently referred to as quinine - associated thrombotic microangiopathy ( quinine - TMA ) to better distinguish this entity from idiopathic TTP .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "thrombotic microangiopathy", "relation": "adverse effect", "tail": "quinine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Fever , furosemide )",
"id": "169",
"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 : Fever , furosemide )",
"output_json": "{\"relations\": [{\"head\": \"Fever\", \"relation\": \"adverse effect\", \"tail\": \"furosemide\"}]}",
"sentence": "Fever caused by the use of furosemide was proved ; the fever resolved after discontinuation of this medication and recurred after its reintroduction ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Fever , furosemide )
|
Option: adverse effect
|
{"relations": [{"head": "Fever", "relation": "adverse effect", "tail": "furosemide"}]}
|
( adverse effect : Fever , furosemide )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nFever caused by the use of furosemide was proved ; the fever resolved after discontinuation of this medication and recurred after its reintroduction .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Fever", "relation": "adverse effect", "tail": "furosemide"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : nephrotic syndrome , interferon beta 1a )",
"id": "170",
"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 1a )",
"output_json": "{\"relations\": [{\"head\": \"nephrotic syndrome\", \"relation\": \"adverse effect\", \"tail\": \"interferon beta 1a\"}]}",
"sentence": "CASE REPORT : We present a case of a 28-yr - old male who developed a severe case of nephrotic syndrome while being treated for relapsing / remitting Multiple Sclerosis ( RRMS ) with weekly injections of interferon beta 1a ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : nephrotic syndrome , interferon beta 1a )
|
Option: adverse effect
|
{"relations": [{"head": "nephrotic syndrome", "relation": "adverse effect", "tail": "interferon beta 1a"}]}
|
( adverse effect : nephrotic syndrome , interferon beta 1a )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCASE REPORT : We present a case of a 28-yr - old male who developed a severe case of nephrotic syndrome while being treated for relapsing / remitting Multiple Sclerosis ( RRMS ) with weekly injections of interferon beta 1a .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "nephrotic syndrome", "relation": "adverse effect", "tail": "interferon beta 1a"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : bilateral interstitial pulmonary abnormalities , gold )",
"id": "171",
"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 interstitial pulmonary abnormalities , gold )",
"output_json": "{\"relations\": [{\"head\": \"bilateral interstitial pulmonary abnormalities\", \"relation\": \"adverse effect\", \"tail\": \"gold\"}]}",
"sentence": "We describe a patient with rheumatoid arthritis treated with gold salts , who developed bilateral interstitial pulmonary abnormalities and showed a dramatic response on corticosteroid 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 )".
|
( adverse effect : bilateral interstitial pulmonary abnormalities , gold )
|
Option: adverse effect
|
{"relations": [{"head": "bilateral interstitial pulmonary abnormalities", "relation": "adverse effect", "tail": "gold"}]}
|
( adverse effect : bilateral interstitial pulmonary abnormalities , gold )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWe describe a patient with rheumatoid arthritis treated with gold salts , who developed bilateral interstitial pulmonary abnormalities and showed a dramatic response on corticosteroid therapy .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "bilateral interstitial pulmonary abnormalities", "relation": "adverse effect", "tail": "gold"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : C. difficile colitis , cisplatin )",
"id": "172",
"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 : C. difficile colitis , cisplatin )",
"output_json": "{\"relations\": [{\"head\": \"C. difficile colitis\", \"relation\": \"adverse effect\", \"tail\": \"cisplatin\"}]}",
"sentence": "Severe C. difficile colitis occurred in 2 patients ( 6.1 % ) after receiving cisplatin - based combination chemotherapy for ovarian malignancies ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : C. difficile colitis , cisplatin )
|
Option: adverse effect
|
{"relations": [{"head": "C. difficile colitis", "relation": "adverse effect", "tail": "cisplatin"}]}
|
( adverse effect : C. difficile colitis , cisplatin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nSevere C. difficile colitis occurred in 2 patients ( 6.1 % ) after receiving cisplatin - based combination chemotherapy for ovarian malignancies .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "C. difficile colitis", "relation": "adverse effect", "tail": "cisplatin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute cardiomyopathy , methylphenidate ) ; ( adverse effect : pericarditis , methylphenidate )",
"id": "173",
"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 cardiomyopathy , methylphenidate ) ; ( adverse effect : pericarditis , methylphenidate )",
"output_json": "{\"relations\": [{\"head\": \"acute cardiomyopathy\", \"relation\": \"adverse effect\", \"tail\": \"methylphenidate\"}, {\"head\": \"pericarditis\", \"relation\": \"adverse effect\", \"tail\": \"methylphenidate\"}]}",
"sentence": "However , acute cardiomyopathy and pericarditis secondary to methylphenidate use has been rarely reported ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : acute cardiomyopathy , methylphenidate ) ; ( adverse effect : pericarditis , methylphenidate )
|
Option: adverse effect
|
{"relations": [{"head": "acute cardiomyopathy", "relation": "adverse effect", "tail": "methylphenidate"}, {"head": "pericarditis", "relation": "adverse effect", "tail": "methylphenidate"}]}
|
( adverse effect : acute cardiomyopathy , methylphenidate ) ; ( adverse effect : pericarditis , methylphenidate )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nHowever , acute cardiomyopathy and pericarditis secondary to methylphenidate use has been rarely reported .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "acute cardiomyopathy", "relation": "adverse effect", "tail": "methylphenidate"}, {"head": "pericarditis", "relation": "adverse effect", "tail": "methylphenidate"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : lactic acidosis , Metformin )",
"id": "174",
"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 : lactic acidosis , Metformin )",
"output_json": "{\"relations\": [{\"head\": \"lactic acidosis\", \"relation\": \"adverse effect\", \"tail\": \"Metformin\"}]}",
"sentence": "Metformin - associated lactic acidosis precipitated by diarrhea ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : lactic acidosis , Metformin )
|
Option: adverse effect
|
{"relations": [{"head": "lactic acidosis", "relation": "adverse effect", "tail": "Metformin"}]}
|
( adverse effect : lactic acidosis , Metformin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nMetformin - associated lactic acidosis precipitated by diarrhea .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "lactic acidosis", "relation": "adverse effect", "tail": "Metformin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Gastro - oesophageal reflux , nifedipine )",
"id": "175",
"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 : Gastro - oesophageal reflux , nifedipine )",
"output_json": "{\"relations\": [{\"head\": \"Gastro - oesophageal reflux\", \"relation\": \"adverse effect\", \"tail\": \"nifedipine\"}]}",
"sentence": "Gastro - oesophageal reflux associated with nifedipine ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Gastro - oesophageal reflux , nifedipine )
|
Option: adverse effect
|
{"relations": [{"head": "Gastro - oesophageal reflux", "relation": "adverse effect", "tail": "nifedipine"}]}
|
( adverse effect : Gastro - oesophageal reflux , nifedipine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nGastro - oesophageal reflux associated with nifedipine .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Gastro - oesophageal reflux", "relation": "adverse effect", "tail": "nifedipine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hyperalgesia of sensory nerve receptors , niacin ) ; ( adverse effect : pain to the teeth , niacin ) ; ( adverse effect : potentiation of inflammation in the gingiva , niacin ) ; ( adverse effect : prostaglandin - mediated vasodilatation , niacin )",
"id": "176",
"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 : hyperalgesia of sensory nerve receptors , niacin ) ; ( adverse effect : pain to the teeth , niacin ) ; ( adverse effect : potentiation of inflammation in the gingiva , niacin ) ; ( adverse effect : prostaglandin - mediated vasodilatation , niacin )",
"output_json": "{\"relations\": [{\"head\": \"hyperalgesia of sensory nerve receptors\", \"relation\": \"adverse effect\", \"tail\": \"niacin\"}, {\"head\": \"pain to the teeth\", \"relation\": \"adverse effect\", \"tail\": \"niacin\"}, {\"head\": \"potentiation of inflammation in the gingiva\", \"relation\": \"adverse effect\", \"tail\": \"niacin\"}, {\"head\": \"prostaglandin - mediated vasodilatation\", \"relation\": \"adverse effect\", \"tail\": \"niacin\"}]}",
"sentence": "The cause of these previously unreported side effects of niacin therapy is uncertain but may be related to prostaglandin - mediated vasodilatation , hyperalgesia of sensory nerve receptors , and potentiation of inflammation in the gingiva with referral of pain to the teeth ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : hyperalgesia of sensory nerve receptors , niacin ) ; ( adverse effect : pain to the teeth , niacin ) ; ( adverse effect : potentiation of inflammation in the gingiva , niacin ) ; ( adverse effect : prostaglandin - mediated vasodilatation , niacin )
|
Option: adverse effect
|
{"relations": [{"head": "hyperalgesia of sensory nerve receptors", "relation": "adverse effect", "tail": "niacin"}, {"head": "pain to the teeth", "relation": "adverse effect", "tail": "niacin"}, {"head": "potentiation of inflammation in the gingiva", "relation": "adverse effect", "tail": "niacin"}, {"head": "prostaglandin - mediated vasodilatation", "relation": "adverse effect", "tail": "niacin"}]}
|
( adverse effect : hyperalgesia of sensory nerve receptors , niacin ) ; ( adverse effect : pain to the teeth , niacin ) ; ( adverse effect : potentiation of inflammation in the gingiva , niacin ) ; ( adverse effect : prostaglandin - mediated vasodilatation , niacin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe cause of these previously unreported side effects of niacin therapy is uncertain but may be related to prostaglandin - mediated vasodilatation , hyperalgesia of sensory nerve receptors , and potentiation of inflammation in the gingiva with referral of pain to the teeth .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "hyperalgesia of sensory nerve receptors", "relation": "adverse effect", "tail": "niacin"}, {"head": "pain to the teeth", "relation": "adverse effect", "tail": "niacin"}, {"head": "potentiation of inflammation in the gingiva", "relation": "adverse effect", "tail": "niacin"}, {"head": "prostaglandin - mediated vasodilatation", "relation": "adverse effect", "tail": "niacin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : autoimmune hepatitis , Minocycline )",
"id": "177",
"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 : autoimmune hepatitis , Minocycline )",
"output_json": "{\"relations\": [{\"head\": \"autoimmune hepatitis\", \"relation\": \"adverse effect\", \"tail\": \"Minocycline\"}]}",
"sentence": "Minocycline - induced autoimmune hepatitis is usually identical to sporadic autoimmune hepatitis ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : autoimmune hepatitis , Minocycline )
|
Option: adverse effect
|
{"relations": [{"head": "autoimmune hepatitis", "relation": "adverse effect", "tail": "Minocycline"}]}
|
( adverse effect : autoimmune hepatitis , Minocycline )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nMinocycline - induced autoimmune hepatitis is usually identical to sporadic autoimmune hepatitis .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "autoimmune hepatitis", "relation": "adverse effect", "tail": "Minocycline"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : seizures , Ampicillin )",
"id": "178",
"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 : seizures , Ampicillin )",
"output_json": "{\"relations\": [{\"head\": \"seizures\", \"relation\": \"adverse effect\", \"tail\": \"Ampicillin\"}]}",
"sentence": "Ampicillin - associated seizures ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : seizures , Ampicillin )
|
Option: adverse effect
|
{"relations": [{"head": "seizures", "relation": "adverse effect", "tail": "Ampicillin"}]}
|
( adverse effect : seizures , Ampicillin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nAmpicillin - associated seizures .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "seizures", "relation": "adverse effect", "tail": "Ampicillin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : glaucoma , steroid ) ; ( adverse effect : glaucoma , triamcinolone acetonide )",
"id": "179",
"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 : glaucoma , steroid ) ; ( adverse effect : glaucoma , triamcinolone acetonide )",
"output_json": "{\"relations\": [{\"head\": \"glaucoma\", \"relation\": \"adverse effect\", \"tail\": \"steroid\"}, {\"head\": \"glaucoma\", \"relation\": \"adverse effect\", \"tail\": \"triamcinolone acetonide\"}]}",
"sentence": "Severe steroid - induced glaucoma following intravitreal injection of triamcinolone acetonide ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : glaucoma , steroid ) ; ( adverse effect : glaucoma , triamcinolone acetonide )
|
Option: adverse effect
|
{"relations": [{"head": "glaucoma", "relation": "adverse effect", "tail": "steroid"}, {"head": "glaucoma", "relation": "adverse effect", "tail": "triamcinolone acetonide"}]}
|
( adverse effect : glaucoma , steroid ) ; ( adverse effect : glaucoma , triamcinolone acetonide )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nSevere steroid - induced glaucoma following intravitreal injection of triamcinolone acetonide .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "glaucoma", "relation": "adverse effect", "tail": "steroid"}, {"head": "glaucoma", "relation": "adverse effect", "tail": "triamcinolone acetonide"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : NMS , carbamazepine ) ; ( adverse effect : NMS , divalproex sodium ) ; ( adverse effect : NMS , risperidone ) ; ( adverse effect : NMS , topiramate ) ; ( adverse effect : NMS , venlafaxine ) ; ( adverse effect : SS , carbamazepine ) ; ( adverse effect : SS , divalproex sodium ) ; ( adverse effect : SS , risperidone ) ; ( adverse effect : SS , topiramate ) ; ( adverse effect : SS , venlafaxine )",
"id": "180",
"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 : NMS , carbamazepine ) ; ( adverse effect : NMS , divalproex sodium ) ; ( adverse effect : NMS , risperidone ) ; ( adverse effect : NMS , topiramate ) ; ( adverse effect : NMS , venlafaxine ) ; ( adverse effect : SS , carbamazepine ) ; ( adverse effect : SS , divalproex sodium ) ; ( adverse effect : SS , risperidone ) ; ( adverse effect : SS , topiramate ) ; ( adverse effect : SS , venlafaxine )",
"output_json": "{\"relations\": [{\"head\": \"NMS\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}, {\"head\": \"NMS\", \"relation\": \"adverse effect\", \"tail\": \"divalproex sodium\"}, {\"head\": \"NMS\", \"relation\": \"adverse effect\", \"tail\": \"risperidone\"}, {\"head\": \"NMS\", \"relation\": \"adverse effect\", \"tail\": \"topiramate\"}, {\"head\": \"NMS\", \"relation\": \"adverse effect\", \"tail\": \"venlafaxine\"}, {\"head\": \"SS\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}, {\"head\": \"SS\", \"relation\": \"adverse effect\", \"tail\": \"divalproex sodium\"}, {\"head\": \"SS\", \"relation\": \"adverse effect\", \"tail\": \"risperidone\"}, {\"head\": \"SS\", \"relation\": \"adverse effect\", \"tail\": \"topiramate\"}, {\"head\": \"SS\", \"relation\": \"adverse effect\", \"tail\": \"venlafaxine\"}]}",
"sentence": "METHOD : Case analysis of a poly - drug overdose ( venlafaxine , topiramate , divalproex sodium , risperidone , and carbamazepine ) presenting with mixed SS / NMS features and whose clinical management suggests a practical algorithm for treatment of undifferentiated SS / NMS in critical care settings ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : NMS , carbamazepine ) ; ( adverse effect : NMS , divalproex sodium ) ; ( adverse effect : NMS , risperidone ) ; ( adverse effect : NMS , topiramate ) ; ( adverse effect : NMS , venlafaxine ) ; ( adverse effect : SS , carbamazepine ) ; ( adverse effect : SS , divalproex sodium ) ; ( adverse effect : SS , risperidone ) ; ( adverse effect : SS , topiramate ) ; ( adverse effect : SS , venlafaxine )
|
Option: adverse effect
|
{"relations": [{"head": "NMS", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "NMS", "relation": "adverse effect", "tail": "divalproex sodium"}, {"head": "NMS", "relation": "adverse effect", "tail": "risperidone"}, {"head": "NMS", "relation": "adverse effect", "tail": "topiramate"}, {"head": "NMS", "relation": "adverse effect", "tail": "venlafaxine"}, {"head": "SS", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "SS", "relation": "adverse effect", "tail": "divalproex sodium"}, {"head": "SS", "relation": "adverse effect", "tail": "risperidone"}, {"head": "SS", "relation": "adverse effect", "tail": "topiramate"}, {"head": "SS", "relation": "adverse effect", "tail": "venlafaxine"}]}
|
( adverse effect : NMS , carbamazepine ) ; ( adverse effect : NMS , divalproex sodium ) ; ( adverse effect : NMS , risperidone ) ; ( adverse effect : NMS , topiramate ) ; ( adverse effect : NMS , venlafaxine ) ; ( adverse effect : SS , carbamazepine ) ; ( adverse effect : SS , divalproex sodium ) ; ( adverse effect : SS , risperidone ) ; ( adverse effect : SS , topiramate ) ; ( adverse effect : SS , venlafaxine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nMETHOD : Case analysis of a poly - drug overdose ( venlafaxine , topiramate , divalproex sodium , risperidone , and carbamazepine ) presenting with mixed SS / NMS features and whose clinical management suggests a practical algorithm for treatment of undifferentiated SS / NMS in critical care settings .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "NMS", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "NMS", "relation": "adverse effect", "tail": "divalproex sodium"}, {"head": "NMS", "relation": "adverse effect", "tail": "risperidone"}, {"head": "NMS", "relation": "adverse effect", "tail": "topiramate"}, {"head": "NMS", "relation": "adverse effect", "tail": "venlafaxine"}, {"head": "SS", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "SS", "relation": "adverse effect", "tail": "divalproex sodium"}, {"head": "SS", "relation": "adverse effect", "tail": "risperidone"}, {"head": "SS", "relation": "adverse effect", "tail": "topiramate"}, {"head": "SS", "relation": "adverse effect", "tail": "venlafaxine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : life - threatening hypoglycaemia , sulfadoxine - pyrimethamine )",
"id": "181",
"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 hypoglycaemia , sulfadoxine - pyrimethamine )",
"output_json": "{\"relations\": [{\"head\": \"life - threatening hypoglycaemia\", \"relation\": \"adverse effect\", \"tail\": \"sulfadoxine - pyrimethamine\"}]}",
"sentence": "Case report : life - threatening hypoglycaemia associated with sulfadoxine - pyrimethamine , a commonly used antimalarial 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 )".
|
( adverse effect : life - threatening hypoglycaemia , sulfadoxine - pyrimethamine )
|
Option: adverse effect
|
{"relations": [{"head": "life - threatening hypoglycaemia", "relation": "adverse effect", "tail": "sulfadoxine - pyrimethamine"}]}
|
( adverse effect : life - threatening hypoglycaemia , sulfadoxine - pyrimethamine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCase report : life - threatening hypoglycaemia associated with sulfadoxine - pyrimethamine , a commonly used antimalarial drug .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "life - threatening hypoglycaemia", "relation": "adverse effect", "tail": "sulfadoxine - pyrimethamine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Fatal radiation myelopathy , busulfan ) ; ( adverse effect : Fatal radiation myelopathy , melphalan )",
"id": "182",
"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 radiation myelopathy , busulfan ) ; ( adverse effect : Fatal radiation myelopathy , melphalan )",
"output_json": "{\"relations\": [{\"head\": \"Fatal radiation myelopathy\", \"relation\": \"adverse effect\", \"tail\": \"busulfan\"}, {\"head\": \"Fatal radiation myelopathy\", \"relation\": \"adverse effect\", \"tail\": \"melphalan\"}]}",
"sentence": "Fatal radiation myelopathy after high - dose busulfan and melphalan chemotherapy and radiotherapy for Ewing 's sarcoma : a review of the literature and implications for practice ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Fatal radiation myelopathy , busulfan ) ; ( adverse effect : Fatal radiation myelopathy , melphalan )
|
Option: adverse effect
|
{"relations": [{"head": "Fatal radiation myelopathy", "relation": "adverse effect", "tail": "busulfan"}, {"head": "Fatal radiation myelopathy", "relation": "adverse effect", "tail": "melphalan"}]}
|
( adverse effect : Fatal radiation myelopathy , busulfan ) ; ( adverse effect : Fatal radiation myelopathy , melphalan )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nFatal radiation myelopathy after high - dose busulfan and melphalan chemotherapy and radiotherapy for Ewing 's sarcoma : a review of the literature and implications for practice .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Fatal radiation myelopathy", "relation": "adverse effect", "tail": "busulfan"}, {"head": "Fatal radiation myelopathy", "relation": "adverse effect", "tail": "melphalan"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : Falling backward , bupropion )",
"id": "183",
"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 : Falling backward , bupropion )",
"output_json": "{\"relations\": [{\"head\": \"Falling backward\", \"relation\": \"adverse effect\", \"tail\": \"bupropion\"}]}",
"sentence": "Falling backward in two elderly patients taking bupropion ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : Falling backward , bupropion )
|
Option: adverse effect
|
{"relations": [{"head": "Falling backward", "relation": "adverse effect", "tail": "bupropion"}]}
|
( adverse effect : Falling backward , bupropion )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nFalling backward in two elderly patients taking bupropion .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "Falling backward", "relation": "adverse effect", "tail": "bupropion"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : irritating cough , quinapril )",
"id": "184",
"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 : irritating cough , quinapril )",
"output_json": "{\"relations\": [{\"head\": \"irritating cough\", \"relation\": \"adverse effect\", \"tail\": \"quinapril\"}]}",
"sentence": "CASE SUMMARY : A 68-year - old woman developed a dry , irritating cough within one month of starting quinapril therapy for the treatment of essential hypertension ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : irritating cough , quinapril )
|
Option: adverse effect
|
{"relations": [{"head": "irritating cough", "relation": "adverse effect", "tail": "quinapril"}]}
|
( adverse effect : irritating cough , quinapril )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCASE SUMMARY : A 68-year - old woman developed a dry , irritating cough within one month of starting quinapril therapy for the treatment of essential hypertension .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "irritating cough", "relation": "adverse effect", "tail": "quinapril"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : dystonia , risperidone )",
"id": "185",
"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 : dystonia , risperidone )",
"output_json": "{\"relations\": [{\"head\": \"dystonia\", \"relation\": \"adverse effect\", \"tail\": \"risperidone\"}]}",
"sentence": "The cases are important in documenting that drug - induced dystonias do occur in patients with dementia , that risperidone appears to have contributed to dystonia among elderly patients , and that the categorization of dystonic reactions needs further clarification ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : dystonia , risperidone )
|
Option: adverse effect
|
{"relations": [{"head": "dystonia", "relation": "adverse effect", "tail": "risperidone"}]}
|
( adverse effect : dystonia , risperidone )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe cases are important in documenting that drug - induced dystonias do occur in patients with dementia , that risperidone appears to have contributed to dystonia among elderly patients , and that the categorization of dystonic reactions needs further clarification .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "dystonia", "relation": "adverse effect", "tail": "risperidone"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : colitis , rofecoxib )",
"id": "186",
"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 : colitis , rofecoxib )",
"output_json": "{\"relations\": [{\"head\": \"colitis\", \"relation\": \"adverse effect\", \"tail\": \"rofecoxib\"}]}",
"sentence": "CONCLUSIONS : Symptoms and pathologic changes of colitis are associated with exposure to rofecoxib ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : colitis , rofecoxib )
|
Option: adverse effect
|
{"relations": [{"head": "colitis", "relation": "adverse effect", "tail": "rofecoxib"}]}
|
( adverse effect : colitis , rofecoxib )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCONCLUSIONS : Symptoms and pathologic changes of colitis are associated with exposure to rofecoxib .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "colitis", "relation": "adverse effect", "tail": "rofecoxib"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : depression , risperidone ) ; ( adverse effect : feelings of agitation , risperidone ) ; ( adverse effect : insomnia , risperidone ) ; ( adverse effect : intolerable affect , risperidone ) ; ( adverse effect : periods of crying , risperidone )",
"id": "187",
"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 : depression , risperidone ) ; ( adverse effect : feelings of agitation , risperidone ) ; ( adverse effect : insomnia , risperidone ) ; ( adverse effect : intolerable affect , risperidone ) ; ( adverse effect : periods of crying , risperidone )",
"output_json": "{\"relations\": [{\"head\": \"depression\", \"relation\": \"adverse effect\", \"tail\": \"risperidone\"}, {\"head\": \"feelings of agitation\", \"relation\": \"adverse effect\", \"tail\": \"risperidone\"}, {\"head\": \"insomnia\", \"relation\": \"adverse effect\", \"tail\": \"risperidone\"}, {\"head\": \"intolerable affect\", \"relation\": \"adverse effect\", \"tail\": \"risperidone\"}, {\"head\": \"periods of crying\", \"relation\": \"adverse effect\", \"tail\": \"risperidone\"}]}",
"sentence": "Six of 13 outpatients with schizophrenia who participated in a ten - week open trial of risperidone had an initial good response to the medication followed by development of intolerable affect , including feelings of agitation and depression and periods of crying and insomnia ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : depression , risperidone ) ; ( adverse effect : feelings of agitation , risperidone ) ; ( adverse effect : insomnia , risperidone ) ; ( adverse effect : intolerable affect , risperidone ) ; ( adverse effect : periods of crying , risperidone )
|
Option: adverse effect
|
{"relations": [{"head": "depression", "relation": "adverse effect", "tail": "risperidone"}, {"head": "feelings of agitation", "relation": "adverse effect", "tail": "risperidone"}, {"head": "insomnia", "relation": "adverse effect", "tail": "risperidone"}, {"head": "intolerable affect", "relation": "adverse effect", "tail": "risperidone"}, {"head": "periods of crying", "relation": "adverse effect", "tail": "risperidone"}]}
|
( adverse effect : depression , risperidone ) ; ( adverse effect : feelings of agitation , risperidone ) ; ( adverse effect : insomnia , risperidone ) ; ( adverse effect : intolerable affect , risperidone ) ; ( adverse effect : periods of crying , risperidone )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nSix of 13 outpatients with schizophrenia who participated in a ten - week open trial of risperidone had an initial good response to the medication followed by development of intolerable affect , including feelings of agitation and depression and periods of crying and insomnia .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "depression", "relation": "adverse effect", "tail": "risperidone"}, {"head": "feelings of agitation", "relation": "adverse effect", "tail": "risperidone"}, {"head": "insomnia", "relation": "adverse effect", "tail": "risperidone"}, {"head": "intolerable affect", "relation": "adverse effect", "tail": "risperidone"}, {"head": "periods of crying", "relation": "adverse effect", "tail": "risperidone"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : cardiomyopathy , ouabain )",
"id": "188",
"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 : cardiomyopathy , ouabain )",
"output_json": "{\"relations\": [{\"head\": \"cardiomyopathy\", \"relation\": \"adverse effect\", \"tail\": \"ouabain\"}]}",
"sentence": "One patient on ouabain also developed cardiomyopathy ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : cardiomyopathy , ouabain )
|
Option: adverse effect
|
{"relations": [{"head": "cardiomyopathy", "relation": "adverse effect", "tail": "ouabain"}]}
|
( adverse effect : cardiomyopathy , ouabain )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nOne patient on ouabain also developed cardiomyopathy .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "cardiomyopathy", "relation": "adverse effect", "tail": "ouabain"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : dystonia , carbamazepine )",
"id": "189",
"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 : dystonia , carbamazepine )",
"output_json": "{\"relations\": [{\"head\": \"dystonia\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}]}",
"sentence": "The currently available clinical and neuropharmacologic data suggest that carbamazepine may be an antagonist of dopamine and that this property is responsible for the production of dystonia ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : dystonia , carbamazepine )
|
Option: adverse effect
|
{"relations": [{"head": "dystonia", "relation": "adverse effect", "tail": "carbamazepine"}]}
|
( adverse effect : dystonia , carbamazepine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThe currently available clinical and neuropharmacologic data suggest that carbamazepine may be an antagonist of dopamine and that this property is responsible for the production of dystonia .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "dystonia", "relation": "adverse effect", "tail": "carbamazepine"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute interstitial nephritis , Sunitinib )",
"id": "190",
"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 interstitial nephritis , Sunitinib )",
"output_json": "{\"relations\": [{\"head\": \"acute interstitial nephritis\", \"relation\": \"adverse effect\", \"tail\": \"Sunitinib\"}]}",
"sentence": "We report the first biopsy confirmed occurrence of acute interstitial nephritis in a patient receiving treatment with Sunitinib for metastatic renal cell cancer ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : acute interstitial nephritis , Sunitinib )
|
Option: adverse effect
|
{"relations": [{"head": "acute interstitial nephritis", "relation": "adverse effect", "tail": "Sunitinib"}]}
|
( adverse effect : acute interstitial nephritis , Sunitinib )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWe report the first biopsy confirmed occurrence of acute interstitial nephritis in a patient receiving treatment with Sunitinib for metastatic renal cell cancer .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "acute interstitial nephritis", "relation": "adverse effect", "tail": "Sunitinib"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : acute cardiomyopathy , methylphenidate ) ; ( adverse effect : pericarditis , methylphenidate )",
"id": "191",
"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 cardiomyopathy , methylphenidate ) ; ( adverse effect : pericarditis , methylphenidate )",
"output_json": "{\"relations\": [{\"head\": \"acute cardiomyopathy\", \"relation\": \"adverse effect\", \"tail\": \"methylphenidate\"}, {\"head\": \"pericarditis\", \"relation\": \"adverse effect\", \"tail\": \"methylphenidate\"}]}",
"sentence": "A case of acute cardiomyopathy and pericarditis associated with methylphenidate ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : acute cardiomyopathy , methylphenidate ) ; ( adverse effect : pericarditis , methylphenidate )
|
Option: adverse effect
|
{"relations": [{"head": "acute cardiomyopathy", "relation": "adverse effect", "tail": "methylphenidate"}, {"head": "pericarditis", "relation": "adverse effect", "tail": "methylphenidate"}]}
|
( adverse effect : acute cardiomyopathy , methylphenidate ) ; ( adverse effect : pericarditis , methylphenidate )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nA case of acute cardiomyopathy and pericarditis associated with methylphenidate .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "acute cardiomyopathy", "relation": "adverse effect", "tail": "methylphenidate"}, {"head": "pericarditis", "relation": "adverse effect", "tail": "methylphenidate"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : fulminant liver failure , Clarithromycin )",
"id": "192",
"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 : fulminant liver failure , Clarithromycin )",
"output_json": "{\"relations\": [{\"head\": \"fulminant liver failure\", \"relation\": \"adverse effect\", \"tail\": \"Clarithromycin\"}]}",
"sentence": "CONCLUSIONS : Clarithromycin may be a cause of fulminant liver failure either alone or by inhibiting the metabolism of other drugs ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : fulminant liver failure , Clarithromycin )
|
Option: adverse effect
|
{"relations": [{"head": "fulminant liver failure", "relation": "adverse effect", "tail": "Clarithromycin"}]}
|
( adverse effect : fulminant liver failure , Clarithromycin )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nCONCLUSIONS : Clarithromycin may be a cause of fulminant liver failure either alone or by inhibiting the metabolism of other drugs .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "fulminant liver failure", "relation": "adverse effect", "tail": "Clarithromycin"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : asterixis , carbamazepine ) ; ( adverse effect : asterixis , CBZ )",
"id": "193",
"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 : asterixis , carbamazepine ) ; ( adverse effect : asterixis , CBZ )",
"output_json": "{\"relations\": [{\"head\": \"asterixis\", \"relation\": \"adverse effect\", \"tail\": \"carbamazepine\"}, {\"head\": \"asterixis\", \"relation\": \"adverse effect\", \"tail\": \"CBZ\"}]}",
"sentence": "In this report we present four patients treated with a combination of different psychotropic drugs , in whom asterixis was triggered either by adding carbamazepine ( CBZ ) to a treatment regimen , or by increasing its dosage ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : asterixis , carbamazepine ) ; ( adverse effect : asterixis , CBZ )
|
Option: adverse effect
|
{"relations": [{"head": "asterixis", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "asterixis", "relation": "adverse effect", "tail": "CBZ"}]}
|
( adverse effect : asterixis , carbamazepine ) ; ( adverse effect : asterixis , CBZ )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nIn this report we present four patients treated with a combination of different psychotropic drugs , in whom asterixis was triggered either by adding carbamazepine ( CBZ ) to a treatment regimen , or by increasing its dosage .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "asterixis", "relation": "adverse effect", "tail": "carbamazepine"}, {"head": "asterixis", "relation": "adverse effect", "tail": "CBZ"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : hepatic injury , MTX ) ; ( adverse effect : liver enzyme elevations , MTX )",
"id": "194",
"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 injury , MTX ) ; ( adverse effect : liver enzyme elevations , MTX )",
"output_json": "{\"relations\": [{\"head\": \"hepatic injury\", \"relation\": \"adverse effect\", \"tail\": \"MTX\"}, {\"head\": \"liver enzyme elevations\", \"relation\": \"adverse effect\", \"tail\": \"MTX\"}]}",
"sentence": "MTX - induced hepatic injury and liver enzyme elevations have been demonstrated after treatment of leukemia , gestational disease and during treatment of psoriasis and rheumatoid 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 )".
|
( adverse effect : hepatic injury , MTX ) ; ( adverse effect : liver enzyme elevations , MTX )
|
Option: adverse effect
|
{"relations": [{"head": "hepatic injury", "relation": "adverse effect", "tail": "MTX"}, {"head": "liver enzyme elevations", "relation": "adverse effect", "tail": "MTX"}]}
|
( adverse effect : hepatic injury , MTX ) ; ( adverse effect : liver enzyme elevations , MTX )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nMTX - induced hepatic injury and liver enzyme elevations have been demonstrated after treatment of leukemia , gestational disease and during treatment of psoriasis and rheumatoid arthritis .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "hepatic injury", "relation": "adverse effect", "tail": "MTX"}, {"head": "liver enzyme elevations", "relation": "adverse effect", "tail": "MTX"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : localized pigmentation , bleomycin ) ; ( adverse effect : localized pigmentation , cisplatin ) ; ( adverse effect : localized pigmentation , etoposide )",
"id": "195",
"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 : localized pigmentation , bleomycin ) ; ( adverse effect : localized pigmentation , cisplatin ) ; ( adverse effect : localized pigmentation , etoposide )",
"output_json": "{\"relations\": [{\"head\": \"localized pigmentation\", \"relation\": \"adverse effect\", \"tail\": \"bleomycin\"}, {\"head\": \"localized pigmentation\", \"relation\": \"adverse effect\", \"tail\": \"cisplatin\"}, {\"head\": \"localized pigmentation\", \"relation\": \"adverse effect\", \"tail\": \"etoposide\"}]}",
"sentence": "We report a child with yolk sac tumor who developed localized pigmentation after the first course of chemotherapy regimen that included cisplatin , etoposide and bleomycin ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : localized pigmentation , bleomycin ) ; ( adverse effect : localized pigmentation , cisplatin ) ; ( adverse effect : localized pigmentation , etoposide )
|
Option: adverse effect
|
{"relations": [{"head": "localized pigmentation", "relation": "adverse effect", "tail": "bleomycin"}, {"head": "localized pigmentation", "relation": "adverse effect", "tail": "cisplatin"}, {"head": "localized pigmentation", "relation": "adverse effect", "tail": "etoposide"}]}
|
( adverse effect : localized pigmentation , bleomycin ) ; ( adverse effect : localized pigmentation , cisplatin ) ; ( adverse effect : localized pigmentation , etoposide )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nWe report a child with yolk sac tumor who developed localized pigmentation after the first course of chemotherapy regimen that included cisplatin , etoposide and bleomycin .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "localized pigmentation", "relation": "adverse effect", "tail": "bleomycin"}, {"head": "localized pigmentation", "relation": "adverse effect", "tail": "cisplatin"}, {"head": "localized pigmentation", "relation": "adverse effect", "tail": "etoposide"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : painful , oedematous , cyanosed hand , diamorphine ) ; ( adverse effect : painful , oedematous , cyanosed hand , methylphenidate )",
"id": "196",
"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 : painful , oedematous , cyanosed hand , diamorphine ) ; ( adverse effect : painful , oedematous , cyanosed hand , methylphenidate )",
"output_json": "{\"relations\": [{\"head\": \"painful , oedematous , cyanosed hand\", \"relation\": \"adverse effect\", \"tail\": \"diamorphine\"}, {\"head\": \"painful , oedematous , cyanosed hand\", \"relation\": \"adverse effect\", \"tail\": \"methylphenidate\"}]}",
"sentence": "A patient presented with a painful , oedematous , cyanosed hand having injected a solution of diamorphine and methylphenidate into his radial artery ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : painful , oedematous , cyanosed hand , diamorphine ) ; ( adverse effect : painful , oedematous , cyanosed hand , methylphenidate )
|
Option: adverse effect
|
{"relations": [{"head": "painful , oedematous , cyanosed hand", "relation": "adverse effect", "tail": "diamorphine"}, {"head": "painful , oedematous , cyanosed hand", "relation": "adverse effect", "tail": "methylphenidate"}]}
|
( adverse effect : painful , oedematous , cyanosed hand , diamorphine ) ; ( adverse effect : painful , oedematous , cyanosed hand , methylphenidate )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nA patient presented with a painful , oedematous , cyanosed hand having injected a solution of diamorphine and methylphenidate into his radial artery .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "painful , oedematous , cyanosed hand", "relation": "adverse effect", "tail": "diamorphine"}, {"head": "painful , oedematous , cyanosed hand", "relation": "adverse effect", "tail": "methylphenidate"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : polyuria , lithium )",
"id": "197",
"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 : polyuria , lithium )",
"output_json": "{\"relations\": [{\"head\": \"polyuria\", \"relation\": \"adverse effect\", \"tail\": \"lithium\"}]}",
"sentence": "This case emphasizes the importance of the evaluation of lithium - associated polyuria with a direct measurement of plasma vasopressin , interpreted with simultaneous plasma and urine osmolality to secure the correct diagnosis and ensure appropriate therapeutic management ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : polyuria , lithium )
|
Option: adverse effect
|
{"relations": [{"head": "polyuria", "relation": "adverse effect", "tail": "lithium"}]}
|
( adverse effect : polyuria , lithium )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nThis case emphasizes the importance of the evaluation of lithium - associated polyuria with a direct measurement of plasma vasopressin , interpreted with simultaneous plasma and urine osmolality to secure the correct diagnosis and ensure appropriate therapeutic management .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "polyuria", "relation": "adverse effect", "tail": "lithium"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : syncope , isosorbide dinitrate )",
"id": "198",
"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 , isosorbide dinitrate )",
"output_json": "{\"relations\": [{\"head\": \"syncope\", \"relation\": \"adverse effect\", \"tail\": \"isosorbide dinitrate\"}]}",
"sentence": "A 65-year - old woman with angina pectoris presented with syncope after sublingual ingestion of isosorbide dinitrate ( 5 mg ) ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : syncope , isosorbide dinitrate )
|
Option: adverse effect
|
{"relations": [{"head": "syncope", "relation": "adverse effect", "tail": "isosorbide dinitrate"}]}
|
( adverse effect : syncope , isosorbide dinitrate )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nA 65-year - old woman with angina pectoris presented with syncope after sublingual ingestion of isosorbide dinitrate ( 5 mg ) .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "syncope", "relation": "adverse effect", "tail": "isosorbide dinitrate"}]}
|
RE
|
ADE_corpus_sample_15000
|
train
|
[] |
{
"ground_truth": "( adverse effect : photosensitivity , mequitazine )",
"id": "199",
"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 : photosensitivity , mequitazine )",
"output_json": "{\"relations\": [{\"head\": \"photosensitivity\", \"relation\": \"adverse effect\", \"tail\": \"mequitazine\"}]}",
"sentence": "However , dermatologists should be cautious about a photosensitivity reaction induced by mequitazine or other phenothiazine - derivative drugs ."
}
|
Identify and extract pairs of words along with their semantic relationship described in the text. If no valid relationship is found, return "None". If only one relationship is found, format it as "( relation1 : word1 , word2 )". For multiple relationships, separate them with semicolons using the format: "( relation1 : word1, word2 ) ; ( relation2 : word3 , word4 )".
|
( adverse effect : photosensitivity , mequitazine )
|
Option: adverse effect
|
{"relations": [{"head": "photosensitivity", "relation": "adverse effect", "tail": "mequitazine"}]}
|
( adverse effect : photosensitivity , mequitazine )
|
Extract all relationships between entities from the given text and return them in JSON format with the key "relations". The output should be a JSON string containing a list of objects, each with "head", "relation", and "tail".
|
[
{
"content": "You are an AI assistant specialized in RE tasks for the ADE_corpus_sample_15000 dataset. \nYour goal is to follow the instructions carefully and generate accurate outputs in JSON format.\nThe available options for this task are: adverse effect.",
"role": "system"
},
{
"content": "### Instruction:\nExtract all relationships between entities from the given text and return them in JSON format with the key \"relations\". The output should be a JSON string containing a list of objects, each with \"head\", \"relation\", and \"tail\".\n\n### Input:\nHowever , dermatologists should be cautious about a photosensitivity reaction induced by mequitazine or other phenothiazine - derivative drugs .\n\n### Output:",
"role": "user"
}
] |
{"relations": [{"head": "photosensitivity", "relation": "adverse effect", "tail": "mequitazine"}]}
|
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