text
stringlengths 597
1.55k
|
|---|
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Silence', 'port 444'), entity_labels:('THREAT_ACTOR', 'OBSERVED_DATA'), possible_labels:uses,controls [/INST] uses </s>
|
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('The operation and the key are different throughout the strings', 'The malware'), entity_labels:('MALWARE_ANALYSIS', 'MALWARE'), possible_labels:m_analysis,characterizes [/INST] m_analysis </s>
|
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('UNC3810', 'espionage'), entity_labels:('THREAT_ACTOR', 'ATTACK_MOTIVATION'), possible_labels:motive [/INST] motive </s>
|
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('phishing campaign', 'U.S. government employees'), entity_labels:('CAMPAIGN', 'VICTIM_IDENTITY'), possible_labels:target [/INST] target </s>
|
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('APT', 'novel wiper malware'), entity_labels:('THREAT_ACTOR', 'MALWARE'), possible_labels:uses,controls [/INST] uses </s>
|
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('Sandworm', 'IT Environment'), entity_labels:('THREAT_ACTOR', 'INFRASTRUCTURE'), possible_labels:target,uses,compromise,controls [/INST] target </s>
|
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('the U.S.', '25 senior professionals specializing in genetic , neurology , and oncology research'), entity_labels:('LOCATION', 'VICTIM_IDENTITY'), possible_labels:No [/INST] located </s>
|
<s>[INST] You are an expert in cybersecurity and natural language processing, tasked with extracting named entity relationships. Your goal is to determine the relationship label between two provided entities using their entity labels and set of possible labels. The predicted label must be one of the possible labels provided. Only provide the predicted label and do not give any explanations. Your task is critical, as incorrect predictions will result in penalties. Here are the inputs: entity:('KillNet activity', 'the U.S. and Europe .'), entity_labels:('INTRUSION_SET', 'LOCATION'), possible_labels:target,originates [/INST] target </s>
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.