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README.md
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- concept-bottleneck-models
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- phishing-detection
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- nlp
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dataset_info:
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features:
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- name: No.
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dtype: int64
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- name: Original email No.
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dtype: int64
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- name: Subject
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dtype: large_string
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- name: Body
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dtype: large_string
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- name: Sender
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dtype: large_string
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- name: URL(s)
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dtype: large_string
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- name: File
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dtype: large_string
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- name: LLM detected emotion
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dtype: large_string
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- name: LLM detected motivation
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dtype: large_string
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- name: Type
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dtype: large_string
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- name: Created by
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dtype: large_string
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- name: Source
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dtype: large_string
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- name: Year
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dtype: int64
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- name: LLM category
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dtype: large_string
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- name: LLM explanation
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dtype: large_string
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- name: anthropic/claude-3.5-sonnet error
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dtype: large_string
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- name: anthropic/claude-3.5-sonnet raw_output
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dtype: large_string
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- name: lang
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dtype: large_string
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- name: words
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dtype: int64
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- name: embedding
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list: float32
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- name: concept_gts
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list: int64
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- name: label
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dtype: int64
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- name: concept_gts_f
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list: int64
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splits:
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- name: train
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num_bytes: 3864462
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num_examples: 1064
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- name: val
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num_bytes: 956333
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num_examples: 266
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- name: test
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num_bytes: 3205071
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num_examples: 1000
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download_size: 5613421
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dataset_size: 8025866
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: val
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path: data/val-*
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- split: test
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path: data/test-*
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---
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# NWeak/emails-mirror
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- concept-bottleneck-models
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- phishing-detection
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- nlp
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---
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# NWeak/emails-mirror
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