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scarecrow.yml
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template_name: scarecrow
template_label: SCARECROW 🎃
template_description: "Scarecrow: A framework for scrutinizing machine text"
# ========================================================================================
#
# See https://yao-dou.github.io for more details
#
# ========================================================================================
interface_text:
typology:
source_label: "Prompt (human-written)"
target_label: "Continuation"
tutorial_link: https://yao-dou.github.io/qual/
font_size:
target: 18
edits:
- name: grammar_usage
label: "Grammar and Usage"
color: "#9a9a9a"
icon: fa-spell-check
enable_output: true
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: grammar_usage_type
label: "Severity"
question: "Rate the severity."
options: likert-3
- name: bad_math
label: "Bad Math"
color: "#111"
icon: fa-calculator
enable_output: true
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: bad_math_type
label: "Severity"
question: "Rate the severity."
options: likert-3
- name: commonsense
label: "Commonsense"
color: "#4ecc9e"
icon: fa-brain
enable_output: true
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: commonsense_type
label: "Severity"
question: "Rate the severity."
options: likert-3
- name: encyclopedic
label: "Encyclopedic"
color: "#137752"
icon: fa-book
enable_output: true
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: encyclopedic_type
label: "Severity"
question: "Rate the severity."
options: likert-3
- name: incoherent
label: "Incoherent"
color: "#d93898"
icon: fa-comment-slash
enable_output: true
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: incoherent_type
label: "Severity"
question: "Rate the severity."
options: likert-3
- name: needs_google
label: "Needs Google"
color: "#5e2ca5"
icon: fa-magnifying-glass
enable_output: true
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: needs_google_type
label: "Severity"
question: "Rate the severity."
options: likert-3
- name: off_prompt
label: "Off-prompt"
color: "gold"
icon: fa-x
enable_output: true
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: off_prompt_type
label: "Severity"
question: "Rate the severity."
options: likert-3
- name: redundant
label: "Redundant"
color: "#e7040f"
icon: fa-arrows-spin
enable_output: true
type: multi_span
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: redundant_type
label: "Severity"
question: "Rate the severity."
options: likert-3
- name: self_contradiction
label: "Self-Contradiction"
color: "#00449e"
icon: fa-rotate-left
enable_output: true
type: multi_span
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: self_contradiction_type
label: "Severity"
question: "Rate the severity."
options: likert-3
- name: technical_jargon
label: "Technical Jargon"
color: "#ff6300"
icon: fa-flask
enable_output: true
annotation:
- name: explanation
label: "Explanation"
question: "Explain your selection."
options: textarea
- name: technical_jargon_type
label: "Severity"
question: "Rate the severity."
options: likert-3
paper_link: https://aclanthology.org/2022.acl-long.501/
citation: |
@inproceedings{dou-etal-2022-gpt,
title = "Is {GPT}-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text",
author = "Dou, Yao and
Forbes, Maxwell and
Koncel-Kedziorski, Rik and
Smith, Noah A. and
Choi, Yejin",
booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = may,
year = "2022",
address = "Dublin, Ireland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.acl-long.501",
doi = "10.18653/v1/2022.acl-long.501",
pages = "7250--7274",
}