FAS
<|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:'FAS, from Enron dataset. We use TREC Legal labels from domain experts. Dataset has 178266 sentences where Enron claims compliance with FinancialAccounting Standards 3 . We use 27000 sentences for validation, 27000 fortraining. The ratio of sentences in class 1 is approximately 59%' . 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" : ["text, unstructured, NLP, human interactions, complex, law"]} <|eot_id|>
 Here is the Description of a dataset. Description:'FAS, from Enron dataset. We use TREC Legal labels from domain experts. Dataset has 178266 sentences where Enron claims compliance with FinancialAccounting Standards 3 . We use 27000 sentences for validation, 27000 fortraining. The ratio of sentences in class 1 is approximately 59%' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
FAS, from Enron dataset. We use TREC Legal labels from domain experts. Dataset has 178266 sentences where Enron claims compliance with FinancialAccounting Standards 3 . We use 27000 sentences for validation, 27000 fortraining. The ratio of sentences in class 1 is approximately 59%
text, unstructured, NLP, human interactions, complex, law