Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update eval.yaml
Browse files
eval.yaml
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name: Evasion Bench
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description: >
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-
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call Q&A sessions. The task is to classify how directly corporate management
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addresses questions from financial analysts.
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tasks:
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field_spec:
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input: question
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target: "
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choices: ["direct", "intermediate", "fully_evasive"]
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solvers:
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name: Evasion Bench
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description: >
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EvasionBench is a benchmark dataset for detecting evasive answers in earnings
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call Q&A sessions. The task is to classify how directly corporate management
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addresses questions from financial analysts.
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tasks:
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field_spec:
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input: question
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target: "eva4b_label_letter"
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choices: ["direct", "intermediate", "fully_evasive"]
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solvers:
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