Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Set evaluation_framework to inspect-ai in eval.yaml
Browse files
eval.yaml
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@@ -3,6 +3,8 @@ 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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- id: evasion_bench
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config: default
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@@ -35,4 +37,4 @@ tasks:
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{choices}
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scorers:
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-
- name: choice
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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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evaluation_framework: inspect-ai
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tasks:
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- id: evasion_bench
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config: default
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{choices}
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scorers:
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- name: choice
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