Dataset of Electronic Nose for Classifying Beef and Pork
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset is generated by eight metal-oxide semiconductor gas sensors. The column name represents the type of used gas sensors (MQxxx). Class column indicates labels (beef and pork). This dataset contains 120 instances that correspond to 120 samples (60 beef and 60 pork samples)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Electronic Nose","Meat Classification","Signal Processing"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset is generated by eight metal-oxide semiconductor gas sensors. The column name represents the type of used gas sensors (MQxxx). Class column indicates labels (beef and pork). This dataset contains 120 instances that correspond to 120 samples (60 beef and 60 pork samples)' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset is generated by eight metal-oxide semiconductor gas sensors. The column name represents the type of used gas sensors (MQxxx). Class column indicates labels (beef and pork). This dataset contains 120 instances that correspond to 120 samples (60 beef and 60 pork samples)
Electronic Nose; Meat Classification; Signal Processing