FCAST
<|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:'FCAST, from Enron dataset. We use TREC Legal labels from domain experts. Dataset has 267366 sentences regarding Enron’s financial state. We use 40000 sentences for validation, 40000 for testing, and the rest for training. The ratio of sentences in class 1 is approximately 31%' . 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:'FCAST, from Enron dataset. We use TREC Legal labels from domain experts. Dataset has 267366 sentences regarding Enron’s financial state. We use 40000 sentences for validation, 40000 for testing, and the rest for training. The ratio of sentences in class 1 is approximately 31%' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
FCAST, from Enron dataset. We use TREC Legal labels from domain experts. Dataset has 267366 sentences regarding Enron’s financial state. We use 40000 sentences for validation, 40000 for testing, and the rest for training. The ratio of sentences in class 1 is approximately 31%
text, unstructured, NLP, human interactions, complex, law