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jaccard_1
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jaccard_2
float64
levenshtein
float64
softngram
float64
cosdist
float64
bertscore_precision
float64
bertscore_recall
float64
bertscore
float64
moverscore
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reranker
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original_perplexity_llama_instruct
float64
original_entropy_llama_instruct
float64
original_topp_outlier_llama_instruct
float64
original_topk_outlier_llama_instruct
float64
original_fastdetectgpt_llama_instruct
float64
original_perplexity_llama_base
float64
original_entropy_llama_base
float64
original_topp_outlier_llama_base
float64
original_topk_outlier_llama_base
float64
original_fastdetectgpt_llama_base
float64
final_response_perplexity_llama_instruct
float64
final_response_entropy_llama_instruct
float64
final_response_topp_outlier_llama_instruct
float64
final_response_topk_outlier_llama_instruct
float64
final_response_fastdetectgpt_llama_instruct
float64
final_response_perplexity_llama_base
float64
final_response_entropy_llama_base
float64
final_response_topp_outlier_llama_base
float64
final_response_topk_outlier_llama_base
float64
final_response_fastdetectgpt_llama_base
float64
original_binoculars
float64
final_response_binoculars
float64
original_editlens_bucket_roberta_large
int64
original_editlens_score_roberta_large
float64
final_response_editlens_bucket_roberta_large
int64
final_response_editlens_score_roberta_large
float64
original_editlens_bucket_llama_3_2_3b
int64
original_editlens_score_llama_3_2_3b
float64
final_response_editlens_bucket_llama_3_2_3b
int64
final_response_editlens_score_llama_3_2_3b
float64
original_editlens_bucket_giga_roberta
int64
original_editlens_score_giga_roberta
float64
final_response_editlens_bucket_giga_roberta
int64
final_response_editlens_score_giga_roberta
float64
original_editlens_bucket_giga_llama_3_2_3b
int64
original_editlens_score_giga_llama_3_2_3b
float64
final_response_editlens_bucket_giga_llama_3_2_3b
int64
final_response_editlens_score_giga_llama_3_2_3b
float64
Welcome to the online home of the National Center for Arts Research, where data-driven insights help advance the arts in the U.S. It all began on February 13, 2012, when SMU’s Meadows School of the Arts and Cox School of Business hosted a public forum with the Cultural Data Project (CDP) and the national arts marketing...
{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nCreate a prompt that would allow an LLM to generate this text as accurately/verbatim as possible, without the prompt containing any of the actual text. That is, you must use descriptors to accurately describe the text to generate.\nDo not output anything besi...
Art & Design
About (Org.)
Write a polished seven-paragraph welcome statement for the newly launched online home of a U.S. national arts research center based at Southern Methodist University. Reconstruct the source wording as closely as possible. Include these details in order: 1. Open by welcoming readers and state that data-driven insights ...
Welcome to the newly launched online home of the National Center for Arts Research at Southern Methodist University. We believe data-driven insights will help advance the arts nationwide. Our initiative began on February 13, 2012, with a public forum jointly hosted by SMU’s Meadows School of the Arts and Cox School of...
gpt-5.6-sol
{"reasoning_effort": "none"}
Welcome to the newly launched online home of the National Center for Arts Research at Southern Methodist University. We believe data-driven insights will help advance the arts nationwide. Our initiative began on February 13, 2012, with a public forum jointly hosted by SMU’s Meadows School of the Arts and Cox School of ...
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824
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9.924471
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“Doing what you love is a fight – an ongoing battle against every influence that wants you to conform. There is no solace in the conformity, only a blurred view of what you set out to be. Spend your life creating something. Betray The Institution.” This manifesto of mine adorns every package that ships out of Dark Coll...
{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nEdit this text by upgrading the verbs to be more dynamic and action-oriented, leaving the subjects, objects, and overall length completely unchanged.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do...
Art & Design
About (Pers.)
“Pursuing what you love demands a fight – an ongoing battle against every influence that pressures you to conform. Conformity offers no solace, only a blurred view of what you set out to become. Devote your life to creating something. Defy The Institution.” This manifesto of mine graces every package that ships out of...
Every piece I create carries a story of independence, identity, and an unrelenting commitment to making art on my own terms. “Pursuing what you love demands a fight – an ongoing battle against every influence that pressures you to conform. Conformity offers no solace, only a blurred view of what you set out to become....
gpt-5.6-sol
{"reasoning_effort": "none"}
Every piece I create carries a story of independence, identity, and an unrelenting commitment to making art on my own terms. “Pursuing what you love demands a fight – an ongoing battle against every influence that pressures you to conform. Conformity offers no solace, only a blurred view of what you set out to become. ...
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ATO RIBEIRO: Home Coming November 3 - December 10, 2017 Anastasia Tinari Projects is thrilled to present Home Coming, Ato Ribeiro's first U.S. solo exhibition. With extreme precision and craftsmanship, the artist creates intricately detailed, complex patterned “wooden kente cloths” using humble pieces of pine, ebony, a...
{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nExpand this text by adding real-world applications and specific details.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what you have written." ], ...
Art & Design
About (Pers.)
ATO RIBEIRO: Home Coming November 3–December 10, 2017 Anastasia Tinari Projects is thrilled to present Home Coming, Ato Ribeiro’s first U.S. solo exhibition. With extraordinary precision and craftsmanship, Ribeiro creates intricately detailed, complexly patterned “wooden kente cloths” from humble pieces of pine, ebo...
gpt-5.6-sol
{"reasoning_effort": "none"}
ATO RIBEIRO: Home Coming November 3–December 10, 2017 Anastasia Tinari Projects is thrilled to present Home Coming, Ato Ribeiro’s first U.S. solo exhibition. With extraordinary precision and craftsmanship, Ribeiro creates intricately detailed, complexly patterned “wooden kente cloths” from humble pieces of pine, ebony,...
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Philip Jay O’Meilia was born in 1927 in Tulsa, Oklahoma, where he resides today. Between military stints during WWII and Korea (serving as a Navy artist), he attended the Art Students League in New York (1945-46, 1947-49) and the Chicago Academy of Fine Art (1946-47). He also attended the Cape School of Art in Province...
{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nWrite a new piece of text that uses this text as a citation or reference.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what you have written.\nThe f...
Art & Design
About (Pers.)
Philip Jay O’Meilia’s career illustrates how artistic versatility can unite fine art, public design, and popular culture. Born in Tulsa, Oklahoma, in 1927, O’Meilia developed his skills through study at institutions including the Art Students League in New York, the Chicago Academy of Fine Art, and the Cape School of A...
gpt-5.6-sol
{"reasoning_effort": "none"}
Philip Jay O’Meilia’s career illustrates how artistic versatility can unite fine art, public design, and popular culture. Born in Tulsa, Oklahoma, in 1927, O’Meilia developed his skills through study at institutions including the Art Students League in New York, the Chicago Academy of Fine Art, and the Cape School of A...
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I’m a Hobby/Amateur Photographer, and started taking photo’s when I was around 11 years old and a member of the school Camera Club. Due to a major change in lifestyle and responsibilities I was forced to sideline my hobby. Now things have changed, I am taking the time to reignite my passion as I find photography very r...
{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nExpand this text by adding backstory and context to enrich understanding.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the text itself. Do not add a title, a heading, or a label naming what you have written." ], ...
Art & Design
About (Pers.)
I’m a hobby and amateur photographer, and my interest in photography began when I was around 11 years old. At the time, I joined my school Camera Club, where I first experienced the excitement of capturing a moment and turning an everyday scene into something worth remembering. Those early years gave me an appreciation...
gpt-5.6-sol
{"reasoning_effort": "none"}
I’m a hobby and amateur photographer, and my interest in photography began when I was around 11 years old. At the time, I joined my school Camera Club, where I first experienced the excitement of capturing a moment and turning an everyday scene into something worth remembering. Those early years gave me an appreciation...
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My name is Kanika Marshall and my goal is to share the strength and majesty of ancient cultures via beautiful, spiritual sculptures and clay pottery that I hand-sculpt in my private art studio near Sacramento, California. I am most inspired by artwork that uses the interplay of various media to show the connection betw...
{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nWrite a detailed rebuttal or critique challenging the core ideas, themes, or facts presented in this text, using the same language and roughly matching the intellectual level of the text.\nOutput the full new text with no extra statements or commentations.\nB...
Art & Design
About (Pers.)
My name is Kanika Marshall, and while my sculptures and pottery are deeply personal, I recognize that presenting them as expressions of ancient cultures raises difficult questions about identity, history, and artistic authority. Beauty and spiritual feeling alone do not necessarily communicate the strength or majesty o...
gpt-5.6-sol
{"reasoning_effort": "none"}
My name is Kanika Marshall, and while my sculptures and pottery are deeply personal, I recognize that presenting them as expressions of ancient cultures raises difficult questions about identity, history, and artistic authority. Beauty and spiritual feeling alone do not necessarily communicate the strength or majesty o...
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Hello and welcome to my website. My name's Lee Bofkin and I'm passionate about many things. On this page you'll find some clips of me bboying (breakdancing), interviewing bboys and running around London in a gorilla suit. I also photograph graffiti, write for Sense Magazine in LA and produce original designs and artwor...
{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nImprove this text by rewriting it. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose.\nOutput the full new text with no extra statements or commentations.\nBegin directly with the t...
Art & Design
About (Pers.)
Hello and welcome to my website. My name's Lee Bofkin and I'm passionate about many things. Here you can explore clips of me bboying (breakdancing), interviewing fellow bboys, and running around London in a gorilla suit. I also photograph graffiti, create original artwork and designs, and write for Sense Magazine in LA...
Hello and welcome to my art and design website. My name's Lee Bofkin and I'm passionate about many things. Here you can explore clips of me bboying (breakdancing), interviewing fellow bboys, and running around London in a gorilla suit. I also photograph graffiti, create original artwork, illustrations, and graphic desi...
gpt-5.6-sol
{"reasoning_effort": "none"}
Hello and welcome to my art and design website. My name's Lee Bofkin and I'm passionate about many things. Here you can explore clips of me bboying (breakdancing), interviewing fellow bboys, and running around London in a gorilla suit. I also photograph graffiti, create original artwork, illustrations, and graphic desi...
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New research by WIPO shows that a wide range of factors, and not income alone, motivates creators to engage in creative activity and explores what this means for copyright policy and public funding of the arts. Legal scholars worry about the increasing disconnect between the formal exercise of rights conferred by copyr...
{ "chat_turns": [ "<document>\n{{DOC}}\n</document>\n\nTranslate the given text to French.\nDo not output anything besides what you were requested to write, and do not output any extra commentary.", "{{RESP_0}}\nTranslate this text to English. Output only the English translation with no extra commentary.\nBeg...
Art & Design
Academic Writing
De nouvelles recherches menées par l’OMPI montrent qu’un large éventail de facteurs, et non le seul revenu, incitent les créateurs à se livrer à une activité créative, et examinent ce que cela implique pour la politique du droit d’auteur et le financement public des arts. Les juristes s’inquiètent du décalage croissan...
New research conducted by WIPO shows that a wide range of factors—not income alone—motivate creators to engage in creative activity, and examines what this means for copyright policy and public funding of the arts. Legal scholars are concerned about the growing disconnect between the formal exercise of rights granted ...
gpt-5.6-sol
{"reasoning_effort": "none"}
New research conducted by WIPO shows that a wide range of factors—not income alone—motivate creators to engage in creative activity, and examines what this means for copyright policy and public funding of the arts. Legal scholars are concerned about the growing disconnect between the formal exercise of rights granted b...
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"Today we share with you an interview with Scott Riley a user experience designer who has a focus on(...TRUNCATED)
{"chat_turns":["<document>\n{{DOC}}\n</document>\n\nWrite a 'few-shot' prompt using minimal, fragmen(...TRUNCATED)
Art & Design
Audio Transcript
"Continue the interview article from the sparse examples below. Match its informal, candid tone, fir(...TRUNCATED)
"Scott Riley is a user experience designer with a particular fondness for interaction design, though(...TRUNCATED)
gpt-5.6-sol
{"reasoning_effort": "none"}
"Scott Riley is a user experience designer with a particular fondness for interaction design, though(...TRUNCATED)
0.798921
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"Godfather - you are brilliant! I put the original foot back on and it had slightly shorter screws a(...TRUNCATED)
{"chat_turns":["<document>\n{{DOC}}\n</document>\n\nWrite a piece of text in the same style and lang(...TRUNCATED)
Art & Design
Comment Section
"Godfather - you are impossible! I swapped the original frame back in and the shorter clips made no (...TRUNCATED)
gpt-5.6-sol
{"reasoning_effort": "none"}
"Godfather - you are impossible! I swapped the original frame back in and the shorter clips made no (...TRUNCATED)
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End of preview. Expand in Data Studio
Auto-generated FastDetector dataset

Fastdetector Test Stat

Best detector
Giga EditLens Llama-3.2-3B Score
0.6359 TPR @ 1% FPR
Hardest prompt subset
rewrite
0.2464 max detector TPR @ 1% FPR
Hardest generator config
claude-opus-5 (Temp: Unknown)
0.4089 max detector TPR @ 1% FPR
15,695
rows
10
generator configs
4
prompt subsets
15
detectors
01

Detector leaderboard

Score-based detectors ranked by overall AUROC. Thresholds are placed exactly on every human score, so TPR is reported at a true 1% and 0.1% false positive rate. Open a row for its threshold sweep, its TPR as AI rows with low cosdist are dropped, and its score distributions.

01Giga EditLens Llama-3.2-3B ScoreN31,390AUROC0.9040TPR @ 1% FPR0.6359TPR @ 0.1% FPR0.4950⌄
1% FPR threshold 0.04330.1% FPR threshold 0.1831
Threshold sweep: Giga EditLens Llama-3.2-3B Score

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Giga EditLens Llama-3.2-3B Score: TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Giga EditLens Llama-3.2-3B Score: overall human

Overall · human onlyOpen full size ↗

Giga EditLens Llama-3.2-3B Score: overall AI

Overall · AI onlyOpen full size ↗

Giga EditLens Llama-3.2-3B Score: prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Giga EditLens Llama-3.2-3B Score: generator subsets

AI texts · one envelope per generator configOpen full size ↗

02EditLens Llama-3.2-3B ScoreN31,390AUROC0.8805TPR @ 1% FPR0.5710TPR @ 0.1% FPR0.3976⌄
1% FPR threshold 0.20160.1% FPR threshold 0.3730
Threshold sweep: EditLens Llama-3.2-3B Score

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

EditLens Llama-3.2-3B Score: TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

EditLens Llama-3.2-3B Score: overall human

Overall · human onlyOpen full size ↗

EditLens Llama-3.2-3B Score: overall AI

Overall · AI onlyOpen full size ↗

EditLens Llama-3.2-3B Score: prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

EditLens Llama-3.2-3B Score: generator subsets

AI texts · one envelope per generator configOpen full size ↗

03Giga EditLens Roberta ScoreN31,390AUROC0.8677TPR @ 1% FPR0.5543TPR @ 0.1% FPR0.4872⌄
1% FPR threshold 0.12390.1% FPR threshold 0.2631
Threshold sweep: Giga EditLens Roberta Score

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Giga EditLens Roberta Score: TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Giga EditLens Roberta Score: overall human

Overall · human onlyOpen full size ↗

Giga EditLens Roberta Score: overall AI

Overall · AI onlyOpen full size ↗

Giga EditLens Roberta Score: prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Giga EditLens Roberta Score: generator subsets

AI texts · one envelope per generator configOpen full size ↗

04EditLens Roberta-Large ScoreN31,390AUROC0.8550TPR @ 1% FPR0.4431TPR @ 0.1% FPR0.1832⌄
1% FPR threshold 0.30800.1% FPR threshold 0.7948
Threshold sweep: EditLens Roberta-Large Score

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

EditLens Roberta-Large Score: TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

EditLens Roberta-Large Score: overall human

Overall · human onlyOpen full size ↗

EditLens Roberta-Large Score: overall AI

Overall · AI onlyOpen full size ↗

EditLens Roberta-Large Score: prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

EditLens Roberta-Large Score: generator subsets

AI texts · one envelope per generator configOpen full size ↗

05BinocularsN31,390AUROC0.6064TPR @ 1% FPR0.0670TPR @ 0.1% FPR0.0182⌄
1% FPR threshold 0.95030.1% FPR threshold 0.9907
Threshold sweep: Binoculars

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Binoculars: TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Binoculars: overall human

Overall · human onlyOpen full size ↗

Binoculars: overall AI

Overall · AI onlyOpen full size ↗

Binoculars: prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Binoculars: generator subsets

AI texts · one envelope per generator configOpen full size ↗

06Top-p Outliers (Llama-3.2-3B)N31,390AUROC0.5697TPR @ 1% FPR0.0503TPR @ 0.1% FPR0.0022⌄
1% FPR threshold 0.02190.1% FPR threshold 0.0071
Threshold sweep: Top-p Outliers (Llama-3.2-3B)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Top-p Outliers (Llama-3.2-3B): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Top-p Outliers (Llama-3.2-3B): overall human

Overall · human onlyOpen full size ↗

Top-p Outliers (Llama-3.2-3B): overall AI

Overall · AI onlyOpen full size ↗

Top-p Outliers (Llama-3.2-3B): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Top-p Outliers (Llama-3.2-3B): generator subsets

AI texts · one envelope per generator configOpen full size ↗

07Entropy (Llama-3.2-3B-Instruct)N31,390AUROC0.5345TPR @ 1% FPR0.0187TPR @ 0.1% FPR0.0041⌄
1% FPR threshold 1.46500.1% FPR threshold 1.1720
Threshold sweep: Entropy (Llama-3.2-3B-Instruct)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Entropy (Llama-3.2-3B-Instruct): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Entropy (Llama-3.2-3B-Instruct): overall human

Overall · human onlyOpen full size ↗

Entropy (Llama-3.2-3B-Instruct): overall AI

Overall · AI onlyOpen full size ↗

Entropy (Llama-3.2-3B-Instruct): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Entropy (Llama-3.2-3B-Instruct): generator subsets

AI texts · one envelope per generator configOpen full size ↗

08Perplexity (Llama-3.2-3B-Instruct)N31,390AUROC0.5234TPR @ 1% FPR0.0190TPR @ 0.1% FPR0.0038⌄
1% FPR threshold 5.25180.1% FPR threshold 3.6443
Threshold sweep: Perplexity (Llama-3.2-3B-Instruct)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Perplexity (Llama-3.2-3B-Instruct): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Perplexity (Llama-3.2-3B-Instruct): overall human

Overall · human onlyOpen full size ↗

Perplexity (Llama-3.2-3B-Instruct): overall AI

Overall · AI onlyOpen full size ↗

Perplexity (Llama-3.2-3B-Instruct): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Perplexity (Llama-3.2-3B-Instruct): generator subsets

AI texts · one envelope per generator configOpen full size ↗

09Top-k Outliers (Llama-3.2-3B-Instruct)N31,390AUROC0.5109TPR @ 1% FPR0.0247TPR @ 0.1% FPR0.0036⌄
1% FPR threshold 0.03120.1% FPR threshold 0.0161
Threshold sweep: Top-k Outliers (Llama-3.2-3B-Instruct)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Top-k Outliers (Llama-3.2-3B-Instruct): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Top-k Outliers (Llama-3.2-3B-Instruct): overall human

Overall · human onlyOpen full size ↗

Top-k Outliers (Llama-3.2-3B-Instruct): overall AI

Overall · AI onlyOpen full size ↗

Top-k Outliers (Llama-3.2-3B-Instruct): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Top-k Outliers (Llama-3.2-3B-Instruct): generator subsets

AI texts · one envelope per generator configOpen full size ↗

10Top-p Outliers (Llama-3.2-3B-Instruct)N31,390AUROC0.5025TPR @ 1% FPR0.0273TPR @ 0.1% FPR0.0038⌄
1% FPR threshold 0.03280.1% FPR threshold 0.0234
Threshold sweep: Top-p Outliers (Llama-3.2-3B-Instruct)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Top-p Outliers (Llama-3.2-3B-Instruct): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Top-p Outliers (Llama-3.2-3B-Instruct): overall human

Overall · human onlyOpen full size ↗

Top-p Outliers (Llama-3.2-3B-Instruct): overall AI

Overall · AI onlyOpen full size ↗

Top-p Outliers (Llama-3.2-3B-Instruct): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Top-p Outliers (Llama-3.2-3B-Instruct): generator subsets

AI texts · one envelope per generator configOpen full size ↗

11Perplexity (Llama-3.2-3B)N31,390AUROC0.4873TPR @ 1% FPR0.0091TPR @ 0.1% FPR0.0004⌄
1% FPR threshold 3.80030.1% FPR threshold 1.3646
Threshold sweep: Perplexity (Llama-3.2-3B)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Perplexity (Llama-3.2-3B): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Perplexity (Llama-3.2-3B): overall human

Overall · human onlyOpen full size ↗

Perplexity (Llama-3.2-3B): overall AI

Overall · AI onlyOpen full size ↗

Perplexity (Llama-3.2-3B): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Perplexity (Llama-3.2-3B): generator subsets

AI texts · one envelope per generator configOpen full size ↗

12FastDetectGPT (Llama-3.2-3B-Instruct)N31,390AUROC0.4827TPR @ 1% FPR0.0146TPR @ 0.1% FPR0.0014⌄
1% FPR threshold 2.20840.1% FPR threshold 5.4559
Threshold sweep: FastDetectGPT (Llama-3.2-3B-Instruct)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

FastDetectGPT (Llama-3.2-3B-Instruct): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

FastDetectGPT (Llama-3.2-3B-Instruct): overall human

Overall · human onlyOpen full size ↗

FastDetectGPT (Llama-3.2-3B-Instruct): overall AI

Overall · AI onlyOpen full size ↗

FastDetectGPT (Llama-3.2-3B-Instruct): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

FastDetectGPT (Llama-3.2-3B-Instruct): generator subsets

AI texts · one envelope per generator configOpen full size ↗

13Top-k Outliers (Llama-3.2-3B)N31,390AUROC0.4806TPR @ 1% FPR0.0129TPR @ 0.1% FPR0.0006⌄
1% FPR threshold 0.01960.1% FPR threshold 0.0043
Threshold sweep: Top-k Outliers (Llama-3.2-3B)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Top-k Outliers (Llama-3.2-3B): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Top-k Outliers (Llama-3.2-3B): overall human

Overall · human onlyOpen full size ↗

Top-k Outliers (Llama-3.2-3B): overall AI

Overall · AI onlyOpen full size ↗

Top-k Outliers (Llama-3.2-3B): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Top-k Outliers (Llama-3.2-3B): generator subsets

AI texts · one envelope per generator configOpen full size ↗

14Entropy (Llama-3.2-3B)N31,390AUROC0.4751TPR @ 1% FPR0.0072TPR @ 0.1% FPR0.0005⌄
1% FPR threshold 1.35260.1% FPR threshold 0.3718
Threshold sweep: Entropy (Llama-3.2-3B)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

Entropy (Llama-3.2-3B): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

Entropy (Llama-3.2-3B): overall human

Overall · human onlyOpen full size ↗

Entropy (Llama-3.2-3B): overall AI

Overall · AI onlyOpen full size ↗

Entropy (Llama-3.2-3B): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

Entropy (Llama-3.2-3B): generator subsets

AI texts · one envelope per generator configOpen full size ↗

15FastDetectGPT (Llama-3.2-3B)N31,390AUROC0.4595TPR @ 1% FPR0.0250TPR @ 0.1% FPR0.0015⌄
1% FPR threshold -2.68350.1% FPR threshold -4.6137
Threshold sweep: FastDetectGPT (Llama-3.2-3B)

TPR and FPR at every threshold · both FPR operating points markedOpen full size ↗

FastDetectGPT (Llama-3.2-3B): TPR against minimum cosdist

AI rows with cosdist below the cutoff are dropped · human rows and thresholds are unchangedOpen full size ↗

Score distributions

FastDetectGPT (Llama-3.2-3B): overall human

Overall · human onlyOpen full size ↗

FastDetectGPT (Llama-3.2-3B): overall AI

Overall · AI onlyOpen full size ↗

FastDetectGPT (Llama-3.2-3B): prompt subsets

AI texts · one envelope per prompt subsetOpen full size ↗

FastDetectGPT (Llama-3.2-3B): generator subsets

AI texts · one envelope per generator configOpen full size ↗

02

Model-Specific Analytics

Select a model, then a split; the split's charts appear below it. Topic × format compares human scores, AI scores and their unsigned gap; generator × prompt category shows only the AI side, since neither changes the human text; specific prompt ranks every first message by difficulty.

Select a model
01Giga EditLens Llama-3.2-3B ScoreAUROC 0.9040 · TPR@1% 0.6359⌄
Select a split · Giga EditLens Llama-3.2-3B Score
Topic × formathuman · AI · |AI − human| gridsshow ▾
Giga EditLens Llama-3.2-3B Score: Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Giga EditLens Llama-3.2-3B Score: AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Giga EditLens Llama-3.2-3B Score: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Giga EditLens Llama-3.2-3B Score: AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Giga EditLens Llama-3.2-3B Score: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
90.58020.0000
0.00000.00440.00860.00430.07820.0049
Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the topic <<topic>>.
rewrite · single-turn
180.61730.0000
0.00000.00480.00570.00150.0675-0.0000
Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
180.60190.0000
0.00000.00320.00570.00280.09540.0022
Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the format <<format>>.
rewrite · single-turn
200.61250.0000
0.00000.00320.00420.00140.10360.0018
Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the topic <<topic>>.
rewrite · single-turn
90.59260.0000
0.00000.00330.00410.00120.09140.0020
Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the format <<format>>.
rewrite · single-turn
150.71560.0000
0.00000.00540.00840.00320.09020.0073
Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the topic <<topic>>.
rewrite · single-turn
110.52070.0000
0.00000.00350.00380.00170.11270.0150
Edit this text by removing five to ten percent of the words from it (the least necessary), without changing anything else. The final text must have the format <<format>>.
rewrite · single-turn
140.68880.0000
0.00000.00500.00850.00380.1057-0.0002
Edit this text by removing five to ten percent of the words from it (the least necessary), without changing anything else. The final text must have the topic <<topic>>.
rewrite · single-turn
130.68640.0000
0.00000.00230.00330.00100.0662-0.0002
Edit this text by removing one section from it (the least necessary), you may only make minimal modifications to adjacent sections for better flow. The final text must have the topic <<topic>>.
rewrite · single-turn
220.53100.0000
0.00000.00350.00370.00130.14210.0150
Edit this text by replacing all existing transition words and phrases (e.g., 'however', 'therefore', 'in addition') with different, synonymous transitions, making no other changes. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
170.59860.0000
0.00000.00320.00510.00250.08330.0003
Edit this text by replacing all existing transition words and phrases (e.g., 'however', 'therefore', 'in addition') with different, synonymous transitions, making no other changes. The final text must have the format <<format>>.
rewrite · single-turn
100.63000.0000
0.00000.00400.00700.00310.07720.0006
02EditLens Llama-3.2-3B ScoreAUROC 0.8805 · TPR@1% 0.5710⌄
Select a split · EditLens Llama-3.2-3B Score
Topic × formathuman · AI · |AI − human| gridsshow ▾
EditLens Llama-3.2-3B Score: Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

EditLens Llama-3.2-3B Score: AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

EditLens Llama-3.2-3B Score: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
EditLens Llama-3.2-3B Score: AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

EditLens Llama-3.2-3B Score: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
90.54320.0000
0.00000.02870.03600.01800.07820.0049
Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the format <<format>>.
rewrite · single-turn
120.63190.0000
0.00000.03110.03920.03220.10240.0140
Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the topic <<topic>>.
rewrite · single-turn
180.59260.0000
0.00000.02590.03810.01480.0675-0.0000
Edit this text by inserting exactly one to three sentences (in appropriate locations), you may only make minimal modifications to transitions in adjacent sentences for better flow. The final text must have the format <<format>>.
rewrite · single-turn
210.65080.0000
0.00000.01740.04910.03180.09410.0149
Edit this text by inserting twenty to thirty words (in appropriate locations), without changing anything else. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
160.68360.0000
0.00000.01940.03810.02000.07250.0084
Edit this text by inserting twenty to thirty words (in appropriate locations), without changing anything else. The final text must have the topic <<topic>>.
rewrite · single-turn
170.68860.0000
0.00000.03190.04980.01800.06860.0214
Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
180.59570.0000
0.00000.03150.04430.01900.09540.0022
Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the format <<format>>.
rewrite · single-turn
200.57000.0000
0.00000.02260.03000.01150.10360.0018
Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the topic <<topic>>.
rewrite · single-turn
90.56790.0000
0.00000.03890.04570.00770.09140.0020
Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
150.59110.0000
0.00000.01500.03150.01700.09730.0182
Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the format <<format>>.
rewrite · single-turn
150.62220.0000
0.00000.01600.02220.00850.09020.0073
Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the topic <<topic>>.
rewrite · single-turn
110.56200.0000
0.00000.02630.02560.00580.11270.0150
03Giga EditLens Roberta ScoreAUROC 0.8677 · TPR@1% 0.5543⌄
Select a split · Giga EditLens Roberta Score
Topic × formathuman · AI · |AI − human| gridsshow ▾
Giga EditLens Roberta Score: Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Giga EditLens Roberta Score: AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Giga EditLens Roberta Score: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Giga EditLens Roberta Score: AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Giga EditLens Roberta Score: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the format <<format>>.
rewrite · single-turn
120.53470.0000
0.00000.00640.00660.00240.10240.0140
Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the topic <<topic>>.
rewrite · single-turn
90.54320.0000
0.00000.00400.00420.00050.09140.0020
Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the topic <<topic>>.
rewrite · single-turn
110.57020.0000
0.00000.00450.00420.00180.11270.0150
Edit this text by removing five to ten percent of the words from it (the least necessary), without changing anything else. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
200.64500.0000
0.00000.00570.01730.01180.11380.0072
Edit this text by removing five to ten percent of the words from it (the least necessary), without changing anything else. The final text must have the format <<format>>.
rewrite · single-turn
140.66330.0000
0.00000.00500.00770.00270.1057-0.0002
Edit this text by removing five to ten percent of the words from it (the least necessary), without changing anything else. The final text must have the topic <<topic>>.
rewrite · single-turn
130.62130.0000
0.00000.00420.00550.00150.0662-0.0002
Edit this text by removing one section from it (the least necessary), you may only make minimal modifications to adjacent sections for better flow. The final text must have the topic <<topic>>.
rewrite · single-turn
220.54440.0000
0.00000.00460.00570.00170.14210.0150
Edit this text by replacing all existing transition words and phrases (e.g., 'however', 'therefore', 'in addition') with different, synonymous transitions, making no other changes. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
170.53630.0000
0.00000.00350.00460.00130.08330.0003
Edit this text by replacing all existing transition words and phrases (e.g., 'however', 'therefore', 'in addition') with different, synonymous transitions, making no other changes. The final text must have the format <<format>>.
rewrite · single-turn
100.52000.0000
0.00000.01300.01120.00330.07720.0006
Edit this text by replacing all existing transition words and phrases (e.g., 'however', 'therefore', 'in addition') with different, synonymous transitions, making no other changes. The final text must have the topic <<topic>>.
rewrite · single-turn
80.50000.0000
0.00000.00710.00680.00250.19520.0487
Edit this text by replacing exactly one to three sentences, without changing anything else. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
160.54490.0000
0.00000.00590.00640.00050.08710.0105
Edit this text by replacing exactly one to three sentences, without changing anything else. The final text must have the topic <<topic>>.
rewrite · single-turn
120.51740.0000
0.00000.00670.00930.00330.08800.0171
04EditLens Roberta-Large ScoreAUROC 0.8550 · TPR@1% 0.4431⌄
Select a split · EditLens Roberta-Large Score
Topic × formathuman · AI · |AI − human| gridsshow ▾
EditLens Roberta-Large Score: Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

EditLens Roberta-Large Score: AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

EditLens Roberta-Large Score: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
EditLens Roberta-Large Score: AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

EditLens Roberta-Large Score: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
90.49380.0000
0.00000.05950.05960.00300.07820.0049
Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the format <<format>>.
rewrite · single-turn
120.55560.0000
0.00000.03830.04140.01360.10240.0140
Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the topic <<topic>>.
rewrite · single-turn
180.63270.0000
0.00000.03380.04990.01720.0675-0.0000
Edit this text by completely rewriting the topic sentence of every paragraph, while preserving the supporting sentences in those paragraphs verbatim. The final text must have the topic <<topic>>.
rewrite · single-turn
150.71560.0000
0.00000.02680.06600.04150.32600.0983
Edit this text by inserting a single, highly engaging introductory sentence at the very beginning, without modifying any of the original text that follows. The final text must have the topic <<topic>>.
rewrite · single-turn
240.62670.0000
0.00000.04810.08170.03370.05080.0327
Edit this text by inserting a singular new section (in an appropriate locations), you may only make minimal modifications to transitions in adjacent sections for better flow. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
200.74500.0000
0.00000.04690.11030.06360.17840.0338
Edit this text by inserting a singular new section (in an appropriate locations), you may only make minimal modifications to transitions in adjacent sections for better flow. The final text must have the format <<format>>.
rewrite · single-turn
120.70490.0000
0.00000.06260.10450.04340.16290.0161
Edit this text by inserting exactly one to three sentences (in appropriate locations), you may only make minimal modifications to transitions in adjacent sentences for better flow. The final text must have the topic <<topic>>.
rewrite · single-turn
150.66000.0000
0.00000.02370.04670.02320.06940.0214
Edit this text by inserting twenty to thirty words (in appropriate locations), without changing anything else. The final text must have the topic <<topic>>.
rewrite · single-turn
170.63490.0000
0.00000.03510.05050.01560.06860.0214
Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the format <<format>>.
rewrite · single-turn
200.54000.0000
0.00000.04100.03810.01570.10360.0018
Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the topic <<topic>>.
rewrite · single-turn
90.51850.0000
0.00000.05130.05010.01070.09140.0020
Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the format <<format>> and topic <<topic>>.
rewrite · single-turn
150.64440.0000
0.00000.02500.03450.02220.09730.0182
05BinocularsAUROC 0.6064 · TPR@1% 0.0670⌄
Select a split · Binoculars
Topic × formathuman · AI · |AI − human| gridsshow ▾
Binoculars: Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Binoculars: AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Binoculars: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Binoculars: AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Binoculars: Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
80.70310.0000
0.00000.84060.86220.02940.67150.1082
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
120.68750.0000
0.00000.81640.89550.08860.71140.1210
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.67900.0000
0.00000.84270.86990.04060.70670.1031
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
140.51530.0000
0.00000.84600.85150.02750.78160.1009
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>>.
revise · single-turn
120.44440.0000
0.00000.86080.85890.02590.73660.0965
Change the tone of this text to be more academic and scholarly. The final text must have the topic <<topic>>.
revise · single-turn
80.59380.0000
0.00000.84930.86100.02940.78920.2192
Change the tone of this text to be more analytical and logical. The final text must have the topic <<topic>>.
revise · single-turn
110.61160.0000
0.00000.79530.84710.06290.75140.1159
Change the tone of this text to be more conversational and approachable. The final text must have the topic <<topic>>.
revise · single-turn
110.57020.0000
0.00000.86260.86500.01710.66630.0460
Change the tone of this text to be more empathetic and understanding. The final text must have the format <<format>>.
revise · single-turn
140.61730.0000
0.00000.82380.87210.06900.59950.0808
Change the tone of this text to be more empathetic and understanding. The final text must have the topic <<topic>>.
revise · single-turn
60.55560.0000
0.00000.81520.86370.05980.63200.0727
Change the tone of this text to be more enthusiastic and energetic. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
150.47560.0000
0.00000.86030.85240.04780.62330.0637
Change the tone of this text to be more enthusiastic and energetic. The final text must have the topic <<topic>>.
revise · single-turn
40.68750.0000
0.00000.84180.85080.03910.50040.1208
06Top-p Outliers (Llama-3.2-3B)AUROC 0.5697 · TPR@1% 0.0503⌄
Select a split · Top-p Outliers (Llama-3.2-3B)
Topic × formathuman · AI · |AI − human| gridsshow ▾
Top-p Outliers (Llama-3.2-3B): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Top-p Outliers (Llama-3.2-3B): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Top-p Outliers (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Top-p Outliers (Llama-3.2-3B): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Top-p Outliers (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
revise · single-turn
130.69820.0000
0.00000.04280.03630.01030.72090.1117
Adapt this text for a teenage audience.
revise · single & two-turn
630.56290.0000
0.00000.04150.04000.01030.73190.1237
Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
110.64460.0000
0.00000.03870.03540.00920.69700.0923
Adapt this text for a teenage audience. The final text must have the format <<format>>.
revise · single-turn
90.93830.0000
0.00000.05060.03510.01560.67640.0705
Adapt this text for a teenage audience. The final text must have the topic <<topic>>.
revise · single-turn
140.66840.0000
0.00000.04110.03690.00850.65620.1132
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.85190.0000
0.00000.04570.03700.01040.70670.1031
Adapt this text for social media sharing.
revise · single & two-turn
520.56430.0000
0.00000.04210.04080.01130.78450.1244
Adapt this text for social media sharing. The final text must have the format <<format>>.
revise · single-turn
110.56200.0000
0.00000.04600.04680.00730.73830.1500
Adapt this text for social media sharing. The final text must have the topic <<topic>>.
revise · single-turn
130.43200.0000
0.00000.03920.04060.01080.77920.1240
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
140.62760.0000
0.00000.04350.03790.00920.78160.1009
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>>.
revise · single-turn
120.73610.0000
0.00000.04100.03360.00870.73660.0965
Change the tone of this text to be more academic and scholarly. The final text must have the topic <<topic>>.
revise · single-turn
80.68750.0000
0.00000.04120.03370.01010.78920.2192
07Entropy (Llama-3.2-3B-Instruct)AUROC 0.5345 · TPR@1% 0.0187⌄
Select a split · Entropy (Llama-3.2-3B-Instruct)
Topic × formathuman · AI · |AI − human| gridsshow ▾
Entropy (Llama-3.2-3B-Instruct): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Entropy (Llama-3.2-3B-Instruct): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Entropy (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Entropy (Llama-3.2-3B-Instruct): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Entropy (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a 5th-grade reading level.
revise · single & two-turn
480.69440.0000
0.00002.51272.25110.40710.77380.1348
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
80.78120.0000
0.00002.56672.12580.45000.67150.1082
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
120.71530.0000
0.00002.40282.00250.46320.71140.1210
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
revise · single-turn
130.76920.0000
0.00002.57862.13370.44840.72090.1117
Adapt this text for a teenage audience.
revise · single & two-turn
630.57700.0000
0.00002.53882.42710.34520.73190.1237
Adapt this text for a teenage audience. The final text must have the topic <<topic>>.
revise · single-turn
140.70410.0000
0.00002.53572.18640.41990.65620.1132
Adapt this text for an elderly adult with limited knowledge of modern day affairs.
revise · single & two-turn
620.59810.0000
0.00002.50382.34360.33780.72640.1338
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.74070.0000
0.00002.44142.14240.37970.70670.1031
Adapt this text for social media sharing. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
140.60200.0000
0.00002.42322.23680.28990.70220.1296
Adapt this text for social media sharing. The final text must have the format <<format>>.
revise · single-turn
110.71900.0000
0.00002.49752.25570.33600.73830.1500
Adapt this text for social media sharing. The final text must have the topic <<topic>>.
revise · single-turn
130.61540.0000
0.00002.42762.28170.44480.77920.1240
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>>.
revise · single-turn
120.41670.0000
0.00002.48152.60550.27590.73660.0965
08Perplexity (Llama-3.2-3B-Instruct)AUROC 0.5234 · TPR@1% 0.0190⌄
Select a split · Perplexity (Llama-3.2-3B-Instruct)
Topic × formathuman · AI · |AI − human| gridsshow ▾
Perplexity (Llama-3.2-3B-Instruct): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Perplexity (Llama-3.2-3B-Instruct): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Perplexity (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Perplexity (Llama-3.2-3B-Instruct): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Perplexity (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a lay audience with no technical background.
revise · single & two-turn
540.68280.0000
0.000017.619612.36576.67140.76430.1436
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
120.68060.0000
0.000016.00929.53456.59830.71140.1210
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
revise · single-turn
130.72190.0000
0.000018.079611.22867.17880.72090.1117
Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
110.60330.0000
0.000016.139213.87983.54500.69700.0923
Adapt this text for an elderly adult with limited knowledge of modern day affairs.
revise · single & two-turn
620.56190.0000
0.000015.507713.78734.67860.72640.1338
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.77780.0000
0.000014.451910.18885.12130.70670.1031
Adapt this text for social media sharing.
revise · single & two-turn
520.46300.0000
0.000015.832316.09094.70220.78450.1244
Adapt this text for social media sharing. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
140.59690.0000
0.000016.663712.94545.70380.70220.1296
Adapt this text for social media sharing. The final text must have the format <<format>>.
revise · single-turn
110.54550.0000
0.000014.428714.05124.78560.73830.1500
Adapt this text for social media sharing. The final text must have the topic <<topic>>.
revise · single-turn
130.33730.0000
0.000013.443115.13734.57880.77920.1240
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>>.
revise · single-turn
120.47920.0000
0.000014.881415.80153.91880.73660.0965
Change the tone of this text to be more academic and scholarly. The final text must have the topic <<topic>>.
revise · single-turn
80.45310.0000
0.000015.820815.21015.90250.78920.2192
09Top-k Outliers (Llama-3.2-3B-Instruct)AUROC 0.5109 · TPR@1% 0.0247⌄
Select a split · Top-k Outliers (Llama-3.2-3B-Instruct)
Topic × formathuman · AI · |AI − human| gridsshow ▾
Top-k Outliers (Llama-3.2-3B-Instruct): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Top-k Outliers (Llama-3.2-3B-Instruct): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Top-k Outliers (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Top-k Outliers (Llama-3.2-3B-Instruct): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Top-k Outliers (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
80.79690.0000
0.00000.09390.06400.03180.67150.1082
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
revise · single-turn
130.75740.0000
0.00000.10330.06860.03630.72090.1117
Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
110.61160.0000
0.00000.10080.09210.02640.69700.0923
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.81480.0000
0.00000.10050.06640.04040.70670.1031
Adapt this text for social media sharing.
revise · single & two-turn
520.41180.0000
0.00000.09590.10330.02450.78450.1244
Adapt this text for social media sharing. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
140.52550.0000
0.00000.09550.08780.02580.70220.1296
Adapt this text for social media sharing. The final text must have the format <<format>>.
revise · single-turn
110.40500.0000
0.00000.08550.09310.01880.73830.1500
Adapt this text for social media sharing. The final text must have the topic <<topic>>.
revise · single-turn
130.27810.0000
0.00000.09030.10860.02890.77920.1240
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
140.38270.0000
0.00000.09240.09940.02380.78160.1009
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>>.
revise · single-turn
120.43060.0000
0.00000.09420.10450.02370.73660.0965
Change the tone of this text to be more academic and scholarly. The final text must have the topic <<topic>>.
revise · single-turn
80.39060.0000
0.00000.09290.10530.03070.78920.2192
Change the tone of this text to be more analytical and logical.
revise · single & two-turn
550.45550.0000
0.00000.09810.10300.02710.77510.1561
10Top-p Outliers (Llama-3.2-3B-Instruct)AUROC 0.5025 · TPR@1% 0.0273⌄
Select a split · Top-p Outliers (Llama-3.2-3B-Instruct)
Topic × formathuman · AI · |AI − human| gridsshow ▾
Top-p Outliers (Llama-3.2-3B-Instruct): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Top-p Outliers (Llama-3.2-3B-Instruct): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Top-p Outliers (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Top-p Outliers (Llama-3.2-3B-Instruct): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Top-p Outliers (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a 5th-grade reading level.
revise · single & two-turn
480.47400.0000
0.00000.05580.05660.00950.77380.1348
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
80.46880.0000
0.00000.05250.05340.00830.67150.1082
Adapt this text for a 5th-grade reading level. The final text must have the topic <<topic>>.
revise · single-turn
130.40240.0000
0.00000.05720.06260.01940.78710.1714
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
120.49310.0000
0.00000.05910.06100.01000.71140.1210
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
revise · single-turn
130.50890.0000
0.00000.05580.05650.01120.72090.1117
Adapt this text for a lay audience with no technical background. The final text must have the topic <<topic>>.
revise · single-turn
160.45700.0000
0.00000.05930.06110.01320.68030.1203
Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
110.56200.0000
0.00000.05400.05180.00610.69700.0923
Adapt this text for a teenage audience. The final text must have the topic <<topic>>.
revise · single-turn
140.28570.0000
0.00000.05080.06310.01250.65620.1132
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.77780.0000
0.00000.05690.04920.00940.70670.1031
Adapt this text for social media sharing.
revise · single & two-turn
520.34670.0000
0.00000.05440.06300.01500.78450.1244
Adapt this text for social media sharing. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
140.36730.0000
0.00000.05730.06320.01340.70220.1296
Adapt this text for social media sharing. The final text must have the format <<format>>.
revise · single-turn
110.25620.0000
0.00000.05380.07480.02280.73830.1500
11Perplexity (Llama-3.2-3B)AUROC 0.4873 · TPR@1% 0.0091⌄
Select a split · Perplexity (Llama-3.2-3B)
Topic × formathuman · AI · |AI − human| gridsshow ▾
Perplexity (Llama-3.2-3B): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Perplexity (Llama-3.2-3B): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Perplexity (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Perplexity (Llama-3.2-3B): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Perplexity (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a 5th-grade reading level.
revise · single & two-turn
480.61410.0000
0.000011.800410.33283.78920.77380.1348
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
80.76560.0000
0.000012.48988.47904.09080.67150.1082
Adapt this text for a 5th-grade reading level. The final text must have the topic <<topic>>.
revise · single-turn
130.79880.0000
0.000015.469910.95135.73480.78710.1714
Adapt this text for a lay audience with no technical background.
revise · single & two-turn
540.63130.0000
0.000013.147410.26314.50080.76430.1436
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
120.65280.0000
0.000011.80517.98134.49120.71140.1210
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
revise · single-turn
130.70410.0000
0.000013.23789.14474.52900.72090.1117
Adapt this text for a teenage audience.
revise · single & two-turn
630.50770.0000
0.000012.087112.22663.58240.73190.1237
Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
110.52070.0000
0.000011.979411.21622.63080.69700.0923
Adapt this text for a teenage audience. The final text must have the format <<format>>.
revise · single-turn
90.74070.0000
0.000013.61409.25174.46970.67640.0705
Adapt this text for a teenage audience. The final text must have the topic <<topic>>.
revise · single-turn
140.59180.0000
0.000012.117910.20963.26660.65620.1132
Adapt this text for an elderly adult with limited knowledge of modern day affairs.
revise · single & two-turn
620.52600.0000
0.000011.805911.24683.43070.72640.1338
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.71600.0000
0.000010.98738.59713.28460.70670.1031
12FastDetectGPT (Llama-3.2-3B-Instruct)AUROC 0.4827 · TPR@1% 0.0146⌄
Select a split · FastDetectGPT (Llama-3.2-3B-Instruct)
Topic × formathuman · AI · |AI − human| gridsshow ▾
FastDetectGPT (Llama-3.2-3B-Instruct): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

FastDetectGPT (Llama-3.2-3B-Instruct): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

FastDetectGPT (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
FastDetectGPT (Llama-3.2-3B-Instruct): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

FastDetectGPT (Llama-3.2-3B-Instruct): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a 5th-grade reading level.
revise · single & two-turn
480.39710.0000
0.0000-1.7428-2.38581.43940.77380.1348
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
80.35940.0000
0.0000-1.0936-1.87321.35940.67150.1082
Adapt this text for a 5th-grade reading level. The final text must have the topic <<topic>>.
revise · single-turn
130.19530.0000
0.0000-1.7912-3.24741.62440.78710.1714
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
120.46530.0000
0.0000-2.5364-2.79451.13190.71140.1210
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
revise · single-turn
130.38460.0000
0.0000-2.0482-2.78171.30080.72090.1117
Adapt this text for a lay audience with no technical background. The final text must have the topic <<topic>>.
revise · single-turn
160.38280.0000
0.0000-2.3219-3.17661.62990.68030.1203
Adapt this text for a teenage audience.
revise · single & two-turn
630.44820.0000
0.0000-1.6502-1.96441.72140.73190.1237
Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
110.56200.0000
0.0000-2.2489-2.23971.15770.69700.0923
Adapt this text for a teenage audience. The final text must have the format <<format>>.
revise · single-turn
90.44440.0000
0.0000-1.1346-2.04991.27880.67640.0705
Adapt this text for a teenage audience. The final text must have the topic <<topic>>.
revise · single-turn
140.25000.0000
0.0000-1.0898-3.03662.06190.65620.1132
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
130.31950.0000
0.0000-1.4448-2.14301.06650.74140.1845
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.58020.0000
0.0000-2.2551-1.81671.38630.70670.1031
13Top-k Outliers (Llama-3.2-3B)AUROC 0.4806 · TPR@1% 0.0129⌄
Select a split · Top-k Outliers (Llama-3.2-3B)
Topic × formathuman · AI · |AI − human| gridsshow ▾
Top-k Outliers (Llama-3.2-3B): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Top-k Outliers (Llama-3.2-3B): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Top-k Outliers (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Top-k Outliers (Llama-3.2-3B): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Top-k Outliers (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
80.82810.0000
0.00000.07700.04950.02750.67150.1082
Adapt this text for a lay audience with no technical background.
revise · single & two-turn
540.62520.0000
0.00000.08400.06670.03210.76430.1436
Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
110.58680.0000
0.00000.08150.07800.02320.69700.0923
Adapt this text for a teenage audience. The final text must have the format <<format>>.
revise · single-turn
90.79010.0000
0.00000.09180.05780.03400.67640.0705
Adapt this text for a teenage audience. The final text must have the topic <<topic>>.
revise · single-turn
140.60200.0000
0.00000.08140.06400.02530.65620.1132
Adapt this text for social media sharing.
revise · single & two-turn
520.36780.0000
0.00000.07660.08910.02340.78450.1244
Adapt this text for social media sharing. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
140.45920.0000
0.00000.07910.07740.01870.70220.1296
Adapt this text for social media sharing. The final text must have the format <<format>>.
revise · single-turn
110.38840.0000
0.00000.07260.08100.02080.73830.1500
Adapt this text for social media sharing. The final text must have the topic <<topic>>.
revise · single-turn
130.27220.0000
0.00000.07560.09330.02960.77920.1240
Change the tone of this text to be more academic and scholarly.
revise · single & two-turn
690.44890.0000
0.00000.08110.08770.02400.76830.1411
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
140.32140.0000
0.00000.07480.08520.02150.78160.1009
Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>>.
revise · single-turn
120.44440.0000
0.00000.07820.08790.02600.73660.0965
14Entropy (Llama-3.2-3B)AUROC 0.4751 · TPR@1% 0.0072⌄
Select a split · Entropy (Llama-3.2-3B)
Topic × formathuman · AI · |AI − human| gridsshow ▾
Entropy (Llama-3.2-3B): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

Entropy (Llama-3.2-3B): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

Entropy (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
Entropy (Llama-3.2-3B): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

Entropy (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a 5th-grade reading level.
revise · single & two-turn
480.59720.0000
0.00002.38482.30150.27750.77380.1348
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
80.75000.0000
0.00002.46632.22390.27700.67150.1082
Adapt this text for a 5th-grade reading level. The final text must have the topic <<topic>>.
revise · single-turn
130.78700.0000
0.00002.63742.29950.36250.78710.1714
Adapt this text for a lay audience with no technical background.
revise · single & two-turn
540.62110.0000
0.00002.45482.29350.29530.76430.1436
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
120.59720.0000
0.00002.24772.07340.36820.71140.1210
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
revise · single-turn
130.69820.0000
0.00002.44032.19520.30690.72090.1117
Adapt this text for a teenage audience.
revise · single & two-turn
630.51300.0000
0.00002.39882.40700.24890.73190.1237
Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
110.47930.0000
0.00002.37372.33870.19460.69700.0923
Adapt this text for a teenage audience. The final text must have the format <<format>>.
revise · single-turn
90.67900.0000
0.00002.47682.24010.24270.67640.0705
Adapt this text for a teenage audience. The final text must have the topic <<topic>>.
revise · single-turn
140.56120.0000
0.00002.35542.28810.25590.65620.1132
Adapt this text for an elderly adult with limited knowledge of modern day affairs.
revise · single & two-turn
620.51350.0000
0.00002.38192.34880.22610.72640.1338
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.62960.0000
0.00002.26342.12440.20760.70670.1031
15FastDetectGPT (Llama-3.2-3B)AUROC 0.4595 · TPR@1% 0.0250⌄
Select a split · FastDetectGPT (Llama-3.2-3B)
Topic × formathuman · AI · |AI − human| gridsshow ▾
FastDetectGPT (Llama-3.2-3B): Human texts · mean score per topic and format

Human texts · mean score per topic and formatOpen full size ↗

FastDetectGPT (Llama-3.2-3B): AI texts · mean score, same colour scale as the human grid

AI texts · mean score, same colour scale as the human gridOpen full size ↗

FastDetectGPT (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Generator × prompt categoryAI · |AI − human| gridsshow ▾
FastDetectGPT (Llama-3.2-3B): AI texts · mean score per generator config and prompt category

AI texts · mean score per generator config and prompt categoryOpen full size ↗

FastDetectGPT (Llama-3.2-3B): Mean unsigned |AI − human| score per pair

Mean unsigned |AI − human| score per pairOpen full size ↗

Specific prompt361 prompts · hardest firstshow ▾

One row per distinct first message (a second turn, where there is one, is ignored), hardest first: ranked by TPR at the detector's corpus-wide 1% FPR threshold. Score columns are the detector's mean over the prompt's rows, |AI − human| is the mean per-pair score movement, and distance columns are the mean distance between each source and its rewrite. Only the 12 hardest of 361 are shown; the full ranking ↗ is a CSV beside this card.

Prompt (first message)RowsAUROCTPR @ 1% FPRTPR @ 0.1% FPRHuman scoreAI score|AI − human|jaccard_1cosdist
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
80.31250.0000
0.00000.58581.25160.95810.67150.1082
Adapt this text for a 5th-grade reading level. The final text must have the format <<format>>.
revise · single-turn
140.23980.0000
0.00000.08251.17251.29610.74580.1626
Adapt this text for a 5th-grade reading level. The final text must have the topic <<topic>>.
revise · single-turn
130.21890.0000
0.0000-0.68560.68011.69140.78710.1714
Adapt this text for a lay audience with no technical background.
revise · single & two-turn
540.38000.0000
0.0000-0.16220.34571.10830.76430.1436
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
120.23610.0000
0.0000-0.65740.43671.52580.71140.1210
Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
revise · single-turn
130.35500.0000
0.0000-0.32920.28330.97240.72090.1117
Adapt this text for a lay audience with no technical background. The final text must have the topic <<topic>>.
revise · single-turn
160.35940.0000
0.0000-0.18380.36281.34200.68030.1203
Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
110.32230.0000
0.0000-0.5564-0.02340.81150.69700.0923
Adapt this text for a teenage audience. The final text must have the format <<format>>.
revise · single-turn
90.22220.0000
0.0000-0.47840.62351.59240.67640.0705
Adapt this text for a teenage audience. The final text must have the topic <<topic>>.
revise · single-turn
140.33160.0000
0.0000-0.25380.71931.29250.65620.1132
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>> and topic <<topic>>.
revise · single-turn
130.33140.0000
0.0000-0.20530.56951.51070.74140.1845
Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
revise · single-turn
90.12350.0000
0.0000-0.98460.45281.72250.70670.1031
03

How far do the rewrites move?

Every distance measure between each source and its rewrite: overall, then with every prompt subset and every generator config overlaid on one chart each.

jaccard_1overall · prompt subsets · generator configs⌄
jaccard_1: prompt subsets

One envelope per prompt subsetOpen full size ↗

jaccard_1: generator configs

One envelope per generator configOpen full size ↗

jaccard_2overall · prompt subsets · generator configs⌄
jaccard_2: prompt subsets

One envelope per prompt subsetOpen full size ↗

jaccard_2: generator configs

One envelope per generator configOpen full size ↗

levenshteinoverall · prompt subsets · generator configs⌄
levenshtein: prompt subsets

One envelope per prompt subsetOpen full size ↗

levenshtein: generator configs

One envelope per generator configOpen full size ↗

softngramoverall · prompt subsets · generator configs⌄
softngram: prompt subsets

One envelope per prompt subsetOpen full size ↗

softngram: generator configs

One envelope per generator configOpen full size ↗

cosdistoverall · prompt subsets · generator configs⌄
cosdist: prompt subsets

One envelope per prompt subsetOpen full size ↗

cosdist: generator configs

One envelope per generator configOpen full size ↗

bertscoreoverall · prompt subsets · generator configs⌄
bertscore: prompt subsets

One envelope per prompt subsetOpen full size ↗

bertscore: generator configs

One envelope per generator configOpen full size ↗

bertscore_precisionoverall · prompt subsets · generator configs⌄
bertscore_precision: prompt subsets

One envelope per prompt subsetOpen full size ↗

bertscore_precision: generator configs

One envelope per generator configOpen full size ↗

bertscore_recalloverall · prompt subsets · generator configs⌄
bertscore_recall: prompt subsets

One envelope per prompt subsetOpen full size ↗

bertscore_recall: generator configs

One envelope per generator configOpen full size ↗

moverscoreoverall · prompt subsets · generator configs⌄
moverscore: prompt subsets

One envelope per prompt subsetOpen full size ↗

moverscore: generator configs

One envelope per generator configOpen full size ↗

rerankeroverall · prompt subsets · generator configs⌄
reranker: prompt subsets

One envelope per prompt subsetOpen full size ↗

reranker: generator configs

One envelope per generator configOpen full size ↗

04

Appendix

Reference material: how the dataset was built and evaluated, its schema and loading code, univariate statistics, and cross-statistic correlations.

How the dataset was built10 generator configs · 4 prompt subsets · evaluation protocol⌄

Every row pairs original (Human) and final_response (AI): a human-written source and the text a generator model produced from it. Inclusion filtering happens while the dataset is built, so this report evaluates the published corpus exactly as it is.

Generator configs

Generator modelTempSamplingRowsShare
claude-opus-4-5-20251101—type disabled1,62110.3%
claude-opus-5—type disabled1,59210.1%
gemini-3.1-pro-preview—thinking_level low1,61610.3%
gemini-3.8-flash—thinking_level low1,60710.2%
gpt-5.4—reasoning_effort none1,59410.2%
gpt-5.6-sol—reasoning_effort none1,60410.2%
x-ai/grok-4.3—enabled False · max_completion_tokens 160001,4469.2%
moonshotai/kimi-k3—enabled False · max_completion_tokens 160001,5119.6%
minimax/minimax-m3—enabled False · max_completion_tokens 160001,5129.6%
qwen/qwen3.7-max—enabled False · max_completion_tokens 160001,59210.1%
Total15,695100%

Prompt subsets

Instructions are grouped by their first message. Counts cover all 15,695 rows.

direct_reference4,030 rows
single-turn · 60 instructions
Show the 60 instructions ▾
  • 83× Write a new piece of text that uses this text as a citation or reference.
  • 81× Write a prequel to this text, describing the events, thoughts, or historical context that immediately led up to this piece being written, making sure to use similar language and wording as the author, as if it was written by the author. The final text must have the topic <<topic>>.
  • 79× Write a detailed rebuttal or critique challenging the core ideas, themes, or facts presented in this text, using the same language and roughly matching the intellectual level of the text. The final text must have the topic <<topic>>.
  • 78× Take a subpoint within this text and write a full new text about it, using the language and wording from the text as appropriate. The final text must have the format <<format>>.
  • 78× Write an alternate version of this text, it should follow the style and format of the original text.
  • 76× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should make sure there are slight, subtle grammatical mistakes, to make it sound like it was written by a human. The final text must have the topic <<topic>>.
  • 76× Write a piece of text in the same style and language as this text, but is directly contrasting to the themes, ideas, and/or details in this text. The final text must have the topic <<topic>>.
  • 75× Write a followup to this piece of text, in the same style and language as the text. The final text must have the format <<format>> and topic <<topic>>.
  • 75× Write a new piece of text that is on a completely different topic, but reuses verbatim as many phrases and sentences from this text as possible.
  • 74× Take a subpoint within this text and write a full new text about it, using the language and wording from the text as appropriate.
  • 74× Write a different piece of text on the same topic. The final text must have the format <<format>> and topic <<topic>>.
  • 74× Write a followup to this piece of text, in the same style and language as the text. The final text must have the topic <<topic>>.
  • 74× Write another piece of text that resembles the style and language of this text.
  • 73× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should write the new text as if it was a rough draft being typed out on a phone.
  • 73× Write a prequel to this text, describing the events, thoughts, or historical context that immediately led up to this piece being written, making sure to use similar language and wording as the author, as if it was written by the author.
  • 73× Write another piece of text that is of a similar theme or background as this text. The final text must have the format <<format>> and topic <<topic>>.
  • 72× Write a different piece of text on the same topic. The final text must have the format <<format>>.
  • 72× Write another piece of text that is of a similar theme or background as this text. The final text must have the format <<format>>.
  • 71× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should use varied sentence lengths, and remove all common AI buzzwords such as 'tapestry', 'delve', or 'testament', to ensure that it sounds like it was written by a human. The final text must have the topic <<topic>>.
  • 71× Write a detailed rebuttal or critique challenging the core ideas, themes, or facts presented in this text, using the same language and roughly matching the intellectual level of the text. The final text must have the format <<format>>.
  • 71× Write a new piece of text that uses this text as a citation or reference. The final text must have the topic <<topic>>.
  • 70× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should write the new text as if it was a rough draft being typed out on a phone. The final text must have the format <<format>> and topic <<topic>>.
  • 70× Write a piece of text with a different topic that the author of this text might write about. The final text must have the topic <<topic>>.
  • 70× Write another piece of text that resembles the style and language of this text. The final text must have the topic <<topic>>.
  • 69× Take a subpoint within this text and write a full new text about it, using the language and wording from the text as appropriate. The final text must have the format <<format>> and topic <<topic>>.
  • 69× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should make sure there are slight, subtle grammatical mistakes, to make it sound like it was written by a human.
  • 69× Write a new piece of text that uses this text as a citation or reference. The final text must have the format <<format>> and topic <<topic>>.
  • 69× Write a piece of text with a different topic that the author of this text might write about. The final text must have the format <<format>>.
  • 68× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should make sure there are slight, subtle grammatical mistakes, to make it sound like it was written by a human. The final text must have the format <<format>> and topic <<topic>>.
  • 68× Write a followup to this piece of text, in the same style and language as the text.
  • 67× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should use varied sentence lengths, and remove all common AI buzzwords such as 'tapestry', 'delve', or 'testament', to ensure that it sounds like it was written by a human. The final text must have the format <<format>> and topic <<topic>>.
  • 67× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should use varied sentence lengths, and remove all common AI buzzwords such as 'tapestry', 'delve', or 'testament', to ensure that it sounds like it was written by a human. The final text must have the format <<format>>.
  • 67× Write a piece of text in the same style and language as this text, but is directly contrasting to the themes, ideas, and/or details in this text. The final text must have the format <<format>> and topic <<topic>>.
  • 67× Write a piece of text with a different topic that the author of this text might write about. The final text must have the format <<format>> and topic <<topic>>.
  • 66× Take a subpoint within this text and write a full new text about it, using the language and wording from the text as appropriate. The final text must have the topic <<topic>>.
  • 66× Write a piece of text in the same style and language as this text, but is directly contrasting to the themes, ideas, and/or details in this text.
  • 66× Write a piece of text with a different topic that the author of this text might write about.
  • 66× Write a prequel to this text, describing the events, thoughts, or historical context that immediately led up to this piece being written, making sure to use similar language and wording as the author, as if it was written by the author. The final text must have the format <<format>>.
  • 66× Write another piece of text that is of a similar theme or background as this text.
  • 66× Write another piece of text that resembles the style and language of this text. The final text must have the format <<format>>.
  • 65× Write a new piece of text that uses this text as a citation or reference. The final text must have the format <<format>>.
  • 64× Write a prequel to this text, describing the events, thoughts, or historical context that immediately led up to this piece being written, making sure to use similar language and wording as the author, as if it was written by the author. The final text must have the format <<format>> and topic <<topic>>.
  • 63× Write a detailed rebuttal or critique challenging the core ideas, themes, or facts presented in this text, using the same language and roughly matching the intellectual level of the text.
  • 62× Write an alternate version of this text, it should follow the style and format of the original text. The final text must have the format <<format>> and topic <<topic>>.
  • 61× Write a detailed rebuttal or critique challenging the core ideas, themes, or facts presented in this text, using the same language and roughly matching the intellectual level of the text. The final text must have the format <<format>> and topic <<topic>>.
  • 61× Write a different piece of text on the same topic. The final text must have the topic <<topic>>.
  • 60× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should write the new text as if it was a rough draft being typed out on a phone. The final text must have the format <<format>>.
  • 60× Write a different piece of text on the same topic.
  • 59× Write another piece of text that resembles the style and language of this text. The final text must have the format <<format>> and topic <<topic>>.
  • 58× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should make sure there are slight, subtle grammatical mistakes, to make it sound like it was written by a human. The final text must have the format <<format>>.
  • 58× Write an alternate version of this text, it should follow the style and format of the original text. The final text must have the format <<format>>.
  • 57× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should use varied sentence lengths, and remove all common AI buzzwords such as 'tapestry', 'delve', or 'testament', to ensure that it sounds like it was written by a human.
  • 57× Write a new piece of text that is on a completely different topic, but reuses verbatim as many phrases and sentences from this text as possible. The final text must have the format <<format>>.
  • 57× Write a piece of text in the same style and language as this text, but is directly contrasting to the themes, ideas, and/or details in this text. The final text must have the format <<format>>.
  • 57× Write an alternate version of this text, it should follow the style and format of the original text. The final text must have the topic <<topic>>.
  • 56× Write a new piece of text that is on a completely different topic, but reuses verbatim as many phrases and sentences from this text as possible. The final text must have the format <<format>> and topic <<topic>>.
  • 56× Write another piece of text that is of a similar theme or background as this text. The final text must have the topic <<topic>>.
  • 55× Write a new piece of text that is on a completely different topic, but reuses verbatim as many phrases and sentences from this text as possible. The final text must have the topic <<topic>>.
  • 53× Write a followup to this piece of text, in the same style and language as the text. The final text must have the format <<format>>.
  • 52× Take inspiration from the style, language, and content of this text, and write a new piece of text on a topic of your choice. However, you should write the new text as if it was a rough draft being typed out on a phone. The final text must have the topic <<topic>>.
indirect_reference4,001 rows
two-turn · 25 instructions
Show the 25 instructions ▾
  • 218× Translate the given text to Chinese. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 216× Translate the given text to French. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 216× Translate the given text to Spanish. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 215× Translate the given text to German. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 199× Formulate a set of strict, absolute constraints regarding format, word count, vocabulary restrictions, and syntax rules that, if followed perfectly by an AI, would result in generating a text nearly identical to this one. Note that your response should be formatted as a prompt that would be sent to an AI requesting it to generate something, not just a list of rules. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 193× Translate the given text to Hindi. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 170× Convert this text into a series of logical propositions or syllogisms that represent the core argument or narrative progression, stripped of all rhetorical flair. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 170× This piece of text was cleverely generated by an LLM with a human supervising it so that the text seems authentic. Reverse engineer the process and come up with a prompt that is most probable to be the one used to generate the text. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 169× Create a prompt that might cause an LLM to generate an output resembling this text. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 167× Summarize this text, attempting to preserve as much of the original language of the text as possible. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 165× Write a 'few-shot' prompt using minimal, fragmented excerpts from this text as examples. The prompt should be designed to teach an LLM the pattern needed to generate the rest of the text from scratch. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 159× Take this text, but extract only the most meaningful sentences out of it to create a new text that is a series of disjoint sentences representing the original text. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 156× Replace every verb in this text with the tag [VERB], keeping all nouns, adjectives, articles and punctuation exactly as they appear. Reproduce the document in full, in its original order and paragraph structure. Do not output a legend or a list of the tags you used. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 153× Take this text and replace one word in every four with a single underscore (use one underscore for each removed word, never several in a row). This way, it will be appropriate for a FIM task. You may decide which words to replace. Reproduce the rest of the document in full, in its original order and paragraph structure. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 150× Create a prompt that would allow an LLM to generate this text as accurately/verbatim as possible, without the prompt containing any of the actual text. That is, you must use descriptors to accurately describe the text to generate. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 146× Provide only the first and last word of every sentence in this text, replacing the middle of each sentence with an ellipsis '...'. Maintain the original paragraph structure. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 145× Create the shortest possible prompt that can be sent to an LLM to reproduce this text. The prompt may include verbatim pieces of the original text, however, it must be short and accurate, working as an effective compression of the original text. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 139× Write a detailed descriptor for how this text is stylistically differentiated from other texts, including grammatical choices and word choices not present in other texts of this kind. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 132× Envision the scenario in which the author wrote this text. Describe that scenario in exhaustive detail. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 129× Create a detailed dictionary that fully describes all the meaningful phrases and words this author utilizes to create this text, and how the author utilizes those words and phrases, and why. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 129× Write a detailed descriptor for the manner in which the author of this uses language, and things such as their word choice. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 127× Write a detailed descriptor for the style of writing of this text, including its qualitative and quantitative properties. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 121× Reformat this text into a sensible, structured JSON object. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 111× Write a detailed descriptor for the (imaginary) personality of the author who wrote this text, including their livelihood and day to day activities, as well as how that influences their writing. Do not output anything besides what you were requested to write, and do not output any extra commentary.
  • 106× Translate the entirety of this text into a sequence of emojis that captures the literal meaning, tone, and narrative progression of the writing. Do not use any letters or words. Do not output anything besides what you were requested to write, and do not output any extra commentary.
revise4,068 rows
2,001 single · 2,067 two-turn · 172 instructions
Show the 172 instructions ▾
  • 77× Change the tone of this text to be more objective and unbiased.
  • 74× Restructure this text to eliminate awkward phrasing and improve the overall rhythm.
  • 73× Clarify this text by making the cause-and-effect relationships more obvious.
  • 73× Clarify this text by presenting the same information from a fresh angle.
  • 72× Clarify this text by eliminating any ambiguous or vague language.
  • 71× Change the tone of this text to be more suited for a business audience.
  • 69× Change the tone of this text to be more academic and scholarly.
  • 69× Change the tone of this text to be more urgent and compelling.
  • 68× Restructure this text to arrange the points in order of importance.
  • 67× Expand this text by adding vivid imagery and sensory details to bring it to life.
  • 67× Restructure this text to improve the transitions and connections between ideas.
  • 66× Expand this text by adding storytelling elements and dialogue to increase engagement.
  • 65× Change the tone of this text to be more inspiring and motivational.
  • 65× Change the tone of this text to be more lighthearted and humorous.
  • 64× Change the tone of this text to be more persuasive and convincing.
  • 64× Clarify this text by paraphrasing it with different vocabulary and varied sentence structures.
  • 63× Adapt this text for a teenage audience.
  • 63× Restructure this text to improve the logical flow and argument progression.
  • 62× Adapt this text for an elderly adult with limited knowledge of modern day affairs.
  • 60× Change the tone of this text to be more empathetic and understanding.
  • 60× Edit this text to eliminate redundant and filler words.
  • 60× Expand this text by adding backstory and context to enrich understanding.
  • 60× Restructure this text to group related ideas and include clear section breaks.
  • 59× Restructure this text to read more naturally, as if written by a native English speaker.
  • 58× Edit this text to trim the length without losing important information or tone.
  • 58× Expand this text by adding real-world applications and specific details.
  • 57× Change the tone of this text to be more enthusiastic and energetic.
  • 57× Change the tone of this text to be more professional and authoritative.
  • 57× Clarify this text by making the argument and main points stronger and easier to understand.
  • 55× Change the tone of this text to be more analytical and logical.
  • 55× Clarify this text by improving the phrasing while preserving its original intent.
  • 54× Adapt this text for a lay audience with no technical background.
  • 54× Expand this text by adding concrete examples to illustrate the main points.
  • 53× Change the tone of this text to be more direct and bold.
  • 52× Adapt this text for social media sharing.
  • 51× Clarify this text by defining any terms that might be unclear to the reader.
  • 50× Edit this text to be more concise and powerful.
  • 49× Expand this text by adding supporting information to elaborate on the key points.
  • 48× Adapt this text for a 5th-grade reading level.
  • 48× Change the tone of this text to be more conversational and approachable.
  • 47× Change the tone of this text to be more relaxed and friendly.
  • 45× Restructure this text to ensure a clear introduction, body, and compelling conclusion.
  • 43× Change the tone of this text to be more polite and diplomatic.
  • 20× Clarify this text by presenting the same information from a fresh angle. The final text must have the format <<format>> and topic <<topic>>.
  • 19× Change the tone of this text to be more direct and bold. The final text must have the format <<format>> and topic <<topic>>.
  • 19× Change the tone of this text to be more relaxed and friendly. The final text must have the format <<format>>.
  • 18× Change the tone of this text to be more enthusiastic and energetic. The final text must have the format <<format>>.
  • 18× Change the tone of this text to be more objective and unbiased. The final text must have the format <<format>>.
  • 18× Edit this text to trim the length without losing important information or tone. The final text must have the format <<format>> and topic <<topic>>.
  • 17× Change the tone of this text to be more polite and diplomatic. The final text must have the format <<format>>.
  • 17× Change the tone of this text to be more suited for a business audience. The final text must have the topic <<topic>>.
  • 17× Expand this text by adding concrete examples to illustrate the main points. The final text must have the format <<format>>.
  • 17× Restructure this text to read more naturally, as if written by a native English speaker. The final text must have the topic <<topic>>.
  • 16× Adapt this text for a lay audience with no technical background. The final text must have the topic <<topic>>.
  • 16× Change the tone of this text to be more direct and bold. The final text must have the topic <<topic>>.
  • 16× Change the tone of this text to be more empathetic and understanding. The final text must have the format <<format>> and topic <<topic>>.
  • 16× Change the tone of this text to be more inspiring and motivational. The final text must have the format <<format>>.
  • 16× Restructure this text to group related ideas and include clear section breaks. The final text must have the topic <<topic>>.
  • 15× Change the tone of this text to be more enthusiastic and energetic. The final text must have the format <<format>> and topic <<topic>>.
  • 15× Clarify this text by making the argument and main points stronger and easier to understand. The final text must have the format <<format>>.
  • 15× Clarify this text by paraphrasing it with different vocabulary and varied sentence structures. The final text must have the format <<format>> and topic <<topic>>.
  • 15× Expand this text by adding storytelling elements and dialogue to increase engagement. The final text must have the format <<format>>.
  • 15× Restructure this text to group related ideas and include clear section breaks. The final text must have the format <<format>> and topic <<topic>>.
  • 15× Restructure this text to improve the logical flow and argument progression. The final text must have the topic <<topic>>.
  • 14× Adapt this text for a 5th-grade reading level. The final text must have the format <<format>>.
  • 14× Adapt this text for a teenage audience. The final text must have the topic <<topic>>.
  • 14× Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the topic <<topic>>.
  • 14× Adapt this text for social media sharing. The final text must have the format <<format>> and topic <<topic>>.
  • 14× Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>> and topic <<topic>>.
  • 14× Change the tone of this text to be more conversational and approachable. The final text must have the format <<format>>.
  • 14× Change the tone of this text to be more empathetic and understanding. The final text must have the format <<format>>.
  • 14× Change the tone of this text to be more lighthearted and humorous. The final text must have the format <<format>> and topic <<topic>>.
  • 14× Change the tone of this text to be more suited for a business audience. The final text must have the format <<format>>.
  • 14× Clarify this text by eliminating any ambiguous or vague language. The final text must have the format <<format>> and topic <<topic>>.
  • 14× Edit this text to be more concise and powerful. The final text must have the topic <<topic>>.
  • 14× Expand this text by adding backstory and context to enrich understanding. The final text must have the format <<format>> and topic <<topic>>.
  • 14× Expand this text by adding real-world applications and specific details. The final text must have the topic <<topic>>.
  • 14× Expand this text by adding supporting information to elaborate on the key points. The final text must have the format <<format>> and topic <<topic>>.
  • 14× Restructure this text to arrange the points in order of importance. The final text must have the topic <<topic>>.
  • 14× Restructure this text to eliminate awkward phrasing and improve the overall rhythm. The final text must have the format <<format>> and topic <<topic>>.
  • 13× Adapt this text for a 5th-grade reading level. The final text must have the topic <<topic>>.
  • 13× Adapt this text for a lay audience with no technical background. The final text must have the format <<format>>.
  • 13× Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>> and topic <<topic>>.
  • 13× Adapt this text for social media sharing. The final text must have the topic <<topic>>.
  • 13× Change the tone of this text to be more conversational and approachable. The final text must have the format <<format>> and topic <<topic>>.
  • 13× Clarify this text by presenting the same information from a fresh angle. The final text must have the format <<format>>.
  • 13× Clarify this text by presenting the same information from a fresh angle. The final text must have the topic <<topic>>.
  • 13× Restructure this text to read more naturally, as if written by a native English speaker. The final text must have the format <<format>> and topic <<topic>>.
  • 12× Adapt this text for a lay audience with no technical background. The final text must have the format <<format>> and topic <<topic>>.
  • 12× Change the tone of this text to be more academic and scholarly. The final text must have the format <<format>>.
  • 12× Change the tone of this text to be more direct and bold. The final text must have the format <<format>>.
  • 12× Change the tone of this text to be more inspiring and motivational. The final text must have the topic <<topic>>.
  • 12× Change the tone of this text to be more lighthearted and humorous. The final text must have the format <<format>>.
  • 12× Change the tone of this text to be more persuasive and convincing. The final text must have the format <<format>> and topic <<topic>>.
  • 12× Change the tone of this text to be more persuasive and convincing. The final text must have the topic <<topic>>.
  • 12× Change the tone of this text to be more relaxed and friendly. The final text must have the format <<format>> and topic <<topic>>.
  • 12× Change the tone of this text to be more urgent and compelling. The final text must have the topic <<topic>>.
  • 12× Clarify this text by defining any terms that might be unclear to the reader. The final text must have the format <<format>>.
  • 12× Clarify this text by defining any terms that might be unclear to the reader. The final text must have the topic <<topic>>.
  • 12× Clarify this text by improving the phrasing while preserving its original intent. The final text must have the format <<format>>.
  • 12× Clarify this text by making the cause-and-effect relationships more obvious. The final text must have the format <<format>> and topic <<topic>>.
  • 12× Edit this text to eliminate redundant and filler words. The final text must have the format <<format>> and topic <<topic>>.
  • 12× Expand this text by adding real-world applications and specific details. The final text must have the format <<format>> and topic <<topic>>.
  • 12× Expand this text by adding real-world applications and specific details. The final text must have the format <<format>>.
  • 12× Expand this text by adding supporting information to elaborate on the key points. The final text must have the topic <<topic>>.
  • 12× Expand this text by adding vivid imagery and sensory details to bring it to life. The final text must have the topic <<topic>>.
  • 12× Restructure this text to eliminate awkward phrasing and improve the overall rhythm. The final text must have the format <<format>>.
  • 12× Restructure this text to read more naturally, as if written by a native English speaker. The final text must have the format <<format>>.
  • 11× Adapt this text for a teenage audience. The final text must have the format <<format>> and topic <<topic>>.
  • 11× Adapt this text for social media sharing. The final text must have the format <<format>>.
  • 11× Change the tone of this text to be more analytical and logical. The final text must have the format <<format>> and topic <<topic>>.
  • 11× Change the tone of this text to be more analytical and logical. The final text must have the topic <<topic>>.
  • 11× Change the tone of this text to be more conversational and approachable. The final text must have the topic <<topic>>.
  • 11× Change the tone of this text to be more objective and unbiased. The final text must have the format <<format>> and topic <<topic>>.
  • 11× Change the tone of this text to be more persuasive and convincing. The final text must have the format <<format>>.
  • 11× Change the tone of this text to be more polite and diplomatic. The final text must have the format <<format>> and topic <<topic>>.
  • 11× Edit this text to eliminate redundant and filler words. The final text must have the format <<format>>.
  • 11× Edit this text to trim the length without losing important information or tone. The final text must have the topic <<topic>>.
  • 11× Expand this text by adding vivid imagery and sensory details to bring it to life. The final text must have the format <<format>> and topic <<topic>>.
  • 11× Expand this text by adding vivid imagery and sensory details to bring it to life. The final text must have the format <<format>>.
  • 11× Restructure this text to group related ideas and include clear section breaks. The final text must have the format <<format>>.
  • 11× Restructure this text to improve the logical flow and argument progression. The final text must have the format <<format>> and topic <<topic>>.
  • 11× Restructure this text to improve the transitions and connections between ideas. The final text must have the format <<format>>.
  • 10× Change the tone of this text to be more inspiring and motivational. The final text must have the format <<format>> and topic <<topic>>.
  • 10× Change the tone of this text to be more polite and diplomatic. The final text must have the topic <<topic>>.
  • 10× Change the tone of this text to be more professional and authoritative. The final text must have the topic <<topic>>.
  • 10× Clarify this text by eliminating any ambiguous or vague language. The final text must have the topic <<topic>>.
  • 10× Clarify this text by making the argument and main points stronger and easier to understand. The final text must have the format <<format>> and topic <<topic>>.
  • 10× Clarify this text by paraphrasing it with different vocabulary and varied sentence structures. The final text must have the format <<format>>.
  • 10× Clarify this text by paraphrasing it with different vocabulary and varied sentence structures. The final text must have the topic <<topic>>.
  • 10× Edit this text to be more concise and powerful. The final text must have the format <<format>> and topic <<topic>>.
  • 10× Edit this text to eliminate redundant and filler words. The final text must have the topic <<topic>>.
  • 10× Restructure this text to arrange the points in order of importance. The final text must have the format <<format>> and topic <<topic>>.
  • 10× Restructure this text to ensure a clear introduction, body, and compelling conclusion. The final text must have the format <<format>> and topic <<topic>>.
  • 10× Restructure this text to ensure a clear introduction, body, and compelling conclusion. The final text must have the topic <<topic>>.
  • 9× Adapt this text for a teenage audience. The final text must have the format <<format>>.
  • 9× Adapt this text for an elderly adult with limited knowledge of modern day affairs. The final text must have the format <<format>>.
  • 9× Change the tone of this text to be more analytical and logical. The final text must have the format <<format>>.
  • 9× Change the tone of this text to be more lighthearted and humorous. The final text must have the topic <<topic>>.
  • 9× Change the tone of this text to be more objective and unbiased. The final text must have the topic <<topic>>.
  • 9× Change the tone of this text to be more professional and authoritative. The final text must have the format <<format>> and topic <<topic>>.
  • 9× Change the tone of this text to be more urgent and compelling. The final text must have the format <<format>> and topic <<topic>>.
  • 9× Clarify this text by eliminating any ambiguous or vague language. The final text must have the format <<format>>.
  • 9× Clarify this text by making the argument and main points stronger and easier to understand. The final text must have the topic <<topic>>.
  • 9× Clarify this text by making the cause-and-effect relationships more obvious. The final text must have the format <<format>>.
  • 9× Expand this text by adding backstory and context to enrich understanding. The final text must have the topic <<topic>>.
  • 9× Expand this text by adding concrete examples to illustrate the main points. The final text must have the topic <<topic>>.
  • 9× Restructure this text to arrange the points in order of importance. The final text must have the format <<format>>.
  • 9× Restructure this text to ensure a clear introduction, body, and compelling conclusion. The final text must have the format <<format>>.
  • 9× Restructure this text to improve the transitions and connections between ideas. The final text must have the format <<format>> and topic <<topic>>.
  • 8× Adapt this text for a 5th-grade reading level. The final text must have the format <<format>> and topic <<topic>>.
  • 8× Change the tone of this text to be more academic and scholarly. The final text must have the topic <<topic>>.
  • 8× Change the tone of this text to be more relaxed and friendly. The final text must have the topic <<topic>>.
  • 8× Change the tone of this text to be more urgent and compelling. The final text must have the format <<format>>.
  • 8× Clarify this text by improving the phrasing while preserving its original intent. The final text must have the format <<format>> and topic <<topic>>.
  • 8× Expand this text by adding backstory and context to enrich understanding. The final text must have the format <<format>>.
  • 8× Expand this text by adding storytelling elements and dialogue to increase engagement. The final text must have the format <<format>> and topic <<topic>>.
  • 8× Expand this text by adding storytelling elements and dialogue to increase engagement. The final text must have the topic <<topic>>.
  • 8× Expand this text by adding supporting information to elaborate on the key points. The final text must have the format <<format>>.
  • 8× Restructure this text to improve the logical flow and argument progression. The final text must have the format <<format>>.
  • 8× Restructure this text to improve the transitions and connections between ideas. The final text must have the topic <<topic>>.
  • 7× Change the tone of this text to be more suited for a business audience. The final text must have the format <<format>> and topic <<topic>>.
  • 7× Restructure this text to eliminate awkward phrasing and improve the overall rhythm. The final text must have the topic <<topic>>.
  • 6× Change the tone of this text to be more empathetic and understanding. The final text must have the topic <<topic>>.
  • 6× Clarify this text by improving the phrasing while preserving its original intent. The final text must have the topic <<topic>>.
  • 6× Clarify this text by making the cause-and-effect relationships more obvious. The final text must have the topic <<topic>>.
  • 6× Edit this text to be more concise and powerful. The final text must have the format <<format>>.
  • 5× Change the tone of this text to be more professional and authoritative. The final text must have the format <<format>>.
  • 5× Clarify this text by defining any terms that might be unclear to the reader. The final text must have the format <<format>> and topic <<topic>>.
  • 5× Expand this text by adding concrete examples to illustrate the main points. The final text must have the format <<format>> and topic <<topic>>.
  • 4× Change the tone of this text to be more enthusiastic and energetic. The final text must have the topic <<topic>>.
  • 3× Edit this text to trim the length without losing important information or tone. The final text must have the format <<format>>.
rewrite3,596 rows
1,701 single · 1,895 two-turn · 104 instructions
Show the 104 instructions ▾
  • 104× Edit this text by upgrading the verbs to be more dynamic and action-oriented, leaving the subjects, objects, and overall length completely unchanged.
  • 104× Rewrite the weakest section in this text, but do not make any modifications to any other section.
  • 102× Modify this text so that it is as short as possible. At least a quarter of the original text must be repeated verbatim, and at most half of it; the remainder must be new prose.
  • 101× Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound.
  • 101× Edit this text by replacing all existing transition words and phrases (e.g., 'however', 'therefore', 'in addition') with different, synonymous transitions, making no other changes.
  • 100× Edit this text by completely rewriting the topic sentence of every paragraph, while preserving the supporting sentences in those paragraphs verbatim.
  • 97× Edit this text by replacing exactly one to three sentences, without changing anything else.
  • 93× Edit this text by removing one section from it (the least necessary), you may only make minimal modifications to adjacent sections for better flow.
  • 93× Edit this text by replacing all instances of passive voice with active voice, without altering any sentences that are already in the active voice.
  • 91× Edit this text by inserting a single, highly engaging introductory sentence at the very beginning, without modifying any of the original text that follows.
  • 91× Rewrite only the opening hook and the final concluding sentence of this text, leaving the entire middle portion exactly as it was originally written.
  • 89× Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow.
  • 89× Edit this text by removing five to ten percent of the words from it (the least necessary), without changing anything else.
  • 87× Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched.
  • 87× Rewrite exactly one section of this text so that its wording is entirely new, and leave every other section untouched. The rewritten section must share no sentence with the original.
  • 86× Edit this text by replacing generic adjectives with highly specific, evocative ones, modifying no more than ten percent of the total words.
  • 86× Modify this text to be as long as possible. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose.
  • 83× Edit this text by inserting exactly one to three sentences (in appropriate locations), you may only make minimal modifications to transitions in adjacent sentences for better flow.
  • 82× Improve this text by rewriting it. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose.
  • 81× Edit this text by inserting a singular new section (in an appropriate locations), you may only make minimal modifications to transitions in adjacent sections for better flow.
  • 81× Edit this text by replacing the final sentence with a more open-ended, thought-provoking statement, without altering any preceding text.
  • 81× Edit this text by splitting the three longest sentences into shorter, distinct sentences, without changing the vocabulary or structure of the rest of the text.
  • 75× Edit this text by inserting twenty to thirty words (in appropriate locations), without changing anything else.
  • 75× Edit this text by replacing five to ten percent of words in it, without changing anything else.
  • 74× Edit this text by replacing, removing or inserting exactly one to three sentences, without changing anything else.
  • 63× Edit this text by replacing, removing or inserting twenty to thirty words, without changing anything else.
  • 28× Edit this text by completely rewriting the topic sentence of every paragraph, while preserving the supporting sentences in those paragraphs verbatim. The final text must have the format <<format>>.
  • 26× Edit this text by completely rewriting the topic sentence of every paragraph, while preserving the supporting sentences in those paragraphs verbatim. The final text must have the format <<format>> and topic <<topic>>.
  • 26× Improve this text by rewriting it. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose. The final text must have the format <<format>> and topic <<topic>>.
  • 24× Edit this text by inserting a single, highly engaging introductory sentence at the very beginning, without modifying any of the original text that follows. The final text must have the topic <<topic>>.
  • 24× Edit this text by removing one section from it (the least necessary), you may only make minimal modifications to adjacent sections for better flow. The final text must have the format <<format>>.
  • 24× Improve this text by rewriting it. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose. The final text must have the topic <<topic>>.
  • 23× Edit this text by inserting exactly one to three sentences (in appropriate locations), you may only make minimal modifications to transitions in adjacent sentences for better flow. The final text must have the format <<format>> and topic <<topic>>.
  • 23× Edit this text by upgrading the verbs to be more dynamic and action-oriented, leaving the subjects, objects, and overall length completely unchanged. The final text must have the topic <<topic>>.
  • 22× Edit this text by removing one section from it (the least necessary), you may only make minimal modifications to adjacent sections for better flow. The final text must have the topic <<topic>>.
  • 22× Edit this text by replacing all instances of passive voice with active voice, without altering any sentences that are already in the active voice. The final text must have the topic <<topic>>.
  • 21× Edit this text by inserting a single, highly engaging introductory sentence at the very beginning, without modifying any of the original text that follows. The final text must have the format <<format>>.
  • 21× Edit this text by inserting exactly one to three sentences (in appropriate locations), you may only make minimal modifications to transitions in adjacent sentences for better flow. The final text must have the format <<format>>.
  • 21× Edit this text by inserting twenty to thirty words (in appropriate locations), without changing anything else. The final text must have the format <<format>>.
  • 21× Edit this text by replacing, removing or inserting exactly one to three sentences, without changing anything else. The final text must have the format <<format>> and topic <<topic>>.
  • 21× Modify this text to be as long as possible. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose. The final text must have the format <<format>> and topic <<topic>>.
  • 20× Edit this text by inserting a singular new section (in an appropriate locations), you may only make minimal modifications to transitions in adjacent sections for better flow. The final text must have the format <<format>> and topic <<topic>>.
  • 20× Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the format <<format>>.
  • 20× Edit this text by removing five to ten percent of the words from it (the least necessary), without changing anything else. The final text must have the format <<format>> and topic <<topic>>.
  • 20× Edit this text by removing one section from it (the least necessary), you may only make minimal modifications to adjacent sections for better flow. The final text must have the format <<format>> and topic <<topic>>.
  • 20× Edit this text by replacing the final sentence with a more open-ended, thought-provoking statement, without altering any preceding text. The final text must have the topic <<topic>>.
  • 20× Modify this text so that it is as short as possible. At least a quarter of the original text must be repeated verbatim, and at most half of it; the remainder must be new prose. The final text must have the format <<format>> and topic <<topic>>.
  • 20× Rewrite only the opening hook and the final concluding sentence of this text, leaving the entire middle portion exactly as it was originally written. The final text must have the format <<format>> and topic <<topic>>.
  • 20× Rewrite the weakest section in this text, but do not make any modifications to any other section. The final text must have the topic <<topic>>.
  • 19× Edit this text by inserting a single, highly engaging introductory sentence at the very beginning, without modifying any of the original text that follows. The final text must have the format <<format>> and topic <<topic>>.
  • 19× Edit this text by replacing all instances of passive voice with active voice, without altering any sentences that are already in the active voice. The final text must have the format <<format>>.
  • 19× Edit this text by replacing five to ten percent of words in it, without changing anything else. The final text must have the format <<format>> and topic <<topic>>.
  • 19× Modify this text so that it is as short as possible. At least a quarter of the original text must be repeated verbatim, and at most half of it; the remainder must be new prose. The final text must have the format <<format>>.
  • 19× Modify this text to be as long as possible. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose. The final text must have the topic <<topic>>.
  • 18× Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the topic <<topic>>.
  • 18× Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the format <<format>> and topic <<topic>>.
  • 18× Edit this text by splitting the three longest sentences into shorter, distinct sentences, without changing the vocabulary or structure of the rest of the text. The final text must have the format <<format>>.
  • 18× Edit this text by upgrading the verbs to be more dynamic and action-oriented, leaving the subjects, objects, and overall length completely unchanged. The final text must have the format <<format>>.
  • 18× Modify this text so that it is as short as possible. At least a quarter of the original text must be repeated verbatim, and at most half of it; the remainder must be new prose. The final text must have the topic <<topic>>.
  • 18× Rewrite exactly one section of this text so that its wording is entirely new, and leave every other section untouched. The rewritten section must share no sentence with the original. The final text must have the topic <<topic>>.
  • 18× Rewrite the weakest section in this text, but do not make any modifications to any other section. The final text must have the format <<format>> and topic <<topic>>.
  • 17× Edit this text by inserting twenty to thirty words (in appropriate locations), without changing anything else. The final text must have the topic <<topic>>.
  • 17× Edit this text by replacing all existing transition words and phrases (e.g., 'however', 'therefore', 'in addition') with different, synonymous transitions, making no other changes. The final text must have the format <<format>> and topic <<topic>>.
  • 17× Edit this text by replacing exactly one to three sentences, without changing anything else. The final text must have the format <<format>>.
  • 17× Edit this text by splitting the three longest sentences into shorter, distinct sentences, without changing the vocabulary or structure of the rest of the text. The final text must have the topic <<topic>>.
  • 17× Rewrite exactly one section of this text so that its wording is entirely new, and leave every other section untouched. The rewritten section must share no sentence with the original. The final text must have the format <<format>> and topic <<topic>>.
  • 16× Edit this text by inserting twenty to thirty words (in appropriate locations), without changing anything else. The final text must have the format <<format>> and topic <<topic>>.
  • 16× Edit this text by replacing all instances of passive voice with active voice, without altering any sentences that are already in the active voice. The final text must have the format <<format>> and topic <<topic>>.
  • 16× Edit this text by replacing exactly one to three sentences, without changing anything else. The final text must have the format <<format>> and topic <<topic>>.
  • 16× Edit this text by replacing the final sentence with a more open-ended, thought-provoking statement, without altering any preceding text. The final text must have the format <<format>>.
  • 16× Edit this text by splitting the three longest sentences into shorter, distinct sentences, without changing the vocabulary or structure of the rest of the text. The final text must have the format <<format>> and topic <<topic>>.
  • 15× Edit this text by completely rewriting the topic sentence of every paragraph, while preserving the supporting sentences in those paragraphs verbatim. The final text must have the topic <<topic>>.
  • 15× Edit this text by inserting a singular new section (in an appropriate locations), you may only make minimal modifications to transitions in adjacent sections for better flow. The final text must have the topic <<topic>>.
  • 15× Edit this text by inserting exactly one to three sentences (in appropriate locations), you may only make minimal modifications to transitions in adjacent sentences for better flow. The final text must have the topic <<topic>>.
  • 15× Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the format <<format>> and topic <<topic>>.
  • 15× Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the format <<format>>.
  • 15× Edit this text by replacing five to ten percent of words in it, without changing anything else. The final text must have the format <<format>>.
  • 15× Edit this text by replacing five to ten percent of words in it, without changing anything else. The final text must have the topic <<topic>>.
  • 15× Modify this text to be as long as possible. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose. The final text must have the format <<format>>.
  • 15× Rewrite only the opening hook and the final concluding sentence of this text, leaving the entire middle portion exactly as it was originally written. The final text must have the topic <<topic>>.
  • 14× Edit this text by removing five to ten percent of the words from it (the least necessary), without changing anything else. The final text must have the format <<format>>.
  • 14× Edit this text by replacing the final sentence with a more open-ended, thought-provoking statement, without altering any preceding text. The final text must have the format <<format>> and topic <<topic>>.
  • 14× Rewrite exactly one section of this text so that its wording is entirely new, and leave every other section untouched. The rewritten section must share no sentence with the original. The final text must have the format <<format>>.
  • 14× Rewrite only the opening hook and the final concluding sentence of this text, leaving the entire middle portion exactly as it was originally written. The final text must have the format <<format>>.
  • 13× Edit this text by removing five to ten percent of the words from it (the least necessary), without changing anything else. The final text must have the topic <<topic>>.
  • 13× Edit this text by replacing generic adjectives with highly specific, evocative ones, modifying no more than ten percent of the total words. The final text must have the format <<format>>.
  • 13× Edit this text by replacing, removing or inserting exactly one to three sentences, without changing anything else. The final text must have the format <<format>>.
  • 13× Edit this text by replacing, removing or inserting twenty to thirty words, without changing anything else. The final text must have the format <<format>> and topic <<topic>>.
  • 13× Edit this text by upgrading the verbs to be more dynamic and action-oriented, leaving the subjects, objects, and overall length completely unchanged. The final text must have the format <<format>> and topic <<topic>>.
  • 13× Rewrite the weakest section in this text, but do not make any modifications to any other section. The final text must have the format <<format>>.
  • 12× Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the format <<format>>.
  • 12× Edit this text by inserting a singular new section (in an appropriate locations), you may only make minimal modifications to transitions in adjacent sections for better flow. The final text must have the format <<format>>.
  • 12× Edit this text by replacing exactly one to three sentences, without changing anything else. The final text must have the topic <<topic>>.
  • 12× Edit this text by replacing generic adjectives with highly specific, evocative ones, modifying no more than ten percent of the total words. The final text must have the format <<format>> and topic <<topic>>.
  • 12× Edit this text by replacing generic adjectives with highly specific, evocative ones, modifying no more than ten percent of the total words. The final text must have the topic <<topic>>.
  • 11× Edit this text by removing exactly one to three sentences from it (the least necessary), you may only make minimal modifications to adjacent sentences for better flow. The final text must have the topic <<topic>>.
  • 10× Edit this text by replacing all existing transition words and phrases (e.g., 'however', 'therefore', 'in addition') with different, synonymous transitions, making no other changes. The final text must have the format <<format>>.
  • 10× Improve this text by rewriting it. At least half of the original text must be repeated verbatim, and at most three quarters of it; the remainder must be new prose. The final text must have the format <<format>>.
  • 9× Edit this text by combining at least four pairs of short, adjacent sentences into complex sentences using appropriate conjunctions, leaving all other sentences untouched. The final text must have the format <<format>> and topic <<topic>>.
  • 9× Edit this text by removing all adverbs, making only minimal adjustments to the surrounding grammar to ensure the sentences remain structurally sound. The final text must have the topic <<topic>>.
  • 8× Edit this text by replacing all existing transition words and phrases (e.g., 'however', 'therefore', 'in addition') with different, synonymous transitions, making no other changes. The final text must have the topic <<topic>>.
  • 8× Edit this text by replacing, removing or inserting twenty to thirty words, without changing anything else. The final text must have the topic <<topic>>.
  • 7× Edit this text by replacing, removing or inserting twenty to thirty words, without changing anything else. The final text must have the format <<format>>.
  • 6× Edit this text by replacing, removing or inserting exactly one to three sentences, without changing anything else. The final text must have the topic <<topic>>.

Topics

TopicRowsShare
Finance & Business1,1227.1%
Education & Jobs8995.7%
Health8565.5%
Software Dev.7895.0%
Sports & Fitness7754.9%
Literature7714.9%
Entertainment7514.8%
Crime & Law7244.6%
Social Life7154.6%
Science & Tech.7144.5%
Politics6644.2%
Software6444.1%
Religion6224.0%
Hardware6093.9%
Transportation5953.8%
Industrial5863.7%
Home & Hobbies5813.7%
Food & Dining5773.7%
Games5683.6%
Art & Design5553.5%
Travel5403.4%
History5343.4%
Fashion & Beauty5043.2%

Formats

FormatRowsShare
Personal Blog2,98419.0%
News Article2,52016.1%
Nonfiction Writing1,3428.6%
News (Org.)6384.1%
About (Pers.)4823.1%
Knowledge Article4813.1%
Tutorial4813.1%
User Review4813.1%
Product Page4793.1%
Documentation4763.0%
Customer Support4753.0%
Creative Writing4713.0%
FAQ4703.0%
Legal Notices4703.0%
Academic Writing4663.0%
About (Org.)4643.0%
Listicle4632.9%
Comment Section4532.9%
Q&A Forum4432.8%
Audio Transcript4132.6%
Structured Data3912.5%
Content Listing3522.2%

Evaluation protocol

Classes
original is Human, final_response is AI. Each detector scores both texts of every row.
Thresholds
All 15,695 rows are used; there is no sweep/evaluation split. Each detector's thresholds are placed exactly on its human scores so that 1% and 0.1% of human texts are called AI. 9 detectors call lower scores AI (for example, perplexity).
Metrics
N (texts scored), AUROC, and TPR at the 1% and 0.1% FPR thresholds. Subsets are scored at the corpus-wide thresholds rather than refitted.
Filters
None. No cosine, soft-ngram, Jaccard, or other analysis-time filtering is applied.
Skipped
None
Config
config/analysis.toml
Schema & usage57 columns · loading snippet⌄

57 columns per row. Detector columns come in pairs, one per text of the row.

Text

original
Human-written source (class: Human)
final_response
Generated text (class: AI)
response_0
Generator output for the first turn
response_1
Generator output for the second turn (empty for single-turn prompts)

Generation

prompt
struct: chat_turns (list of strings), use_multiturn, examples, metadata.PROMPT_TYPE
generator_model
Hugging Face id of the generator model
generation_params
JSON string of sampling parameters

Metadata

topic
Topic of the human source
format
Format of the human source

Distances

jaccard_1, jaccard_2, levenshtein, softngram, cosdist, bertscore, bertscore_precision, bertscore_recall, moverscore, reranker
10 float columns measuring how far the rewrite moved from the original

Other columns

original_editlens_bucket_roberta_large, final_response_editlens_bucket_roberta_large, original_editlens_bucket_llama_3_2_3b, final_response_editlens_bucket_llama_3_2_3b, original_editlens_bucket_giga_roberta, final_response_editlens_bucket_giga_roberta, original_editlens_bucket_giga_llama_3_2_3b, final_response_editlens_bucket_giga_llama_3_2_3b
Not used by this report

Detector scores

One float column per text: {original|final_response}<suffix>
_editlens_score_roberta_large
EditLens Roberta-Large Score
_editlens_score_llama_3_2_3b
EditLens Llama-3.2-3B Score
_editlens_score_giga_roberta
Giga EditLens Roberta Score
_editlens_score_giga_llama_3_2_3b
Giga EditLens Llama-3.2-3B Score
_perplexity_llama_instruct
Perplexity (Llama-3.2-3B-Instruct)
_perplexity_llama_base
Perplexity (Llama-3.2-3B)
_entropy_llama_instruct
Entropy (Llama-3.2-3B-Instruct)
_entropy_llama_base
Entropy (Llama-3.2-3B)
_topp_outlier_llama_instruct
Top-p Outliers (Llama-3.2-3B-Instruct)
_topp_outlier_llama_base
Top-p Outliers (Llama-3.2-3B)
_topk_outlier_llama_instruct
Top-k Outliers (Llama-3.2-3B-Instruct)
_topk_outlier_llama_base
Top-k Outliers (Llama-3.2-3B)
_fastdetectgpt_llama_instruct
FastDetectGPT (Llama-3.2-3B-Instruct)
_fastdetectgpt_llama_base
FastDetectGPT (Llama-3.2-3B)
_binoculars
Binoculars

Load it

from datasets import concatenate_datasets, get_dataset_config_names, load_dataset

repo = "G-reen/fastdetector-test-stat-test"
# every generator config is its own dataset config
ds = concatenate_datasets([
    load_dataset(repo, config, split="train")
    for config in get_dataset_config_names(repo)
])
Univariate statistics40 statistics · all 15,695 rows valid⌄

Every statistic the report does arithmetic on, over the complete corpus. Missing or non-finite values are counted as invalid.

StatisticMeanMedianStdMinMaxInvalid
jaccard_10.57460.67190.28210.00001.00000
jaccard_20.69230.83580.30950.01801.00000
levenshtein2123.56411533.00002534.11963.000079984.00000
softngram0.53010.58830.36020.00001.00000
cosdist0.15890.08630.1807-0.00720.96480
bertscore0.11810.12380.07330.00120.79660
bertscore_precision0.11700.12360.07190.00120.74970
bertscore_recall0.11840.12180.07860.00060.82870
moverscore0.48580.54030.20000.05951.33480
reranker-5.8904-7.31254.0837-10.937517.12500
EditLens Roberta-Large Score (Human)0.04630.02040.07160.00640.98380
EditLens Roberta-Large Score (AI)0.36280.26110.34010.00640.99960
EditLens Llama-3.2-3B Score (Human)0.02990.01590.04060.00030.49050
EditLens Llama-3.2-3B Score (AI)0.34390.28040.31000.00041.00000
Giga EditLens Roberta Score (Human)0.00860.00380.02580.00130.67200
Giga EditLens Roberta Score (AI)0.38340.23600.39970.00131.00000
Giga EditLens Llama-3.2-3B Score (Human)0.00500.00260.01140.00050.18350
Giga EditLens Llama-3.2-3B Score (AI)0.32850.17710.36310.00061.00000
Perplexity (Llama-3.2-3B-Instruct) (Human)15.573313.96086.99302.995465.30620
Perplexity (Llama-3.2-3B-Instruct) (AI)15.524413.634711.04911.0071537.90310
Perplexity (Llama-3.2-3B) (Human)11.828910.82804.94171.206847.06320
Perplexity (Llama-3.2-3B) (AI)12.490911.05778.98631.0034612.34030
Entropy (Llama-3.2-3B-Instruct) (Human)2.49832.48770.43471.07314.22970
Entropy (Llama-3.2-3B-Instruct) (AI)2.44632.43410.48710.03657.18780
Entropy (Llama-3.2-3B) (Human)2.37852.37920.38020.22943.79630
Entropy (Llama-3.2-3B) (AI)2.41492.41430.39780.01005.51160
Top-p Outliers (Llama-3.2-3B-Instruct) (Human)0.05500.05370.01200.02150.12310
Top-p Outliers (Llama-3.2-3B-Instruct) (AI)0.05520.05370.01420.00000.20830
Top-p Outliers (Llama-3.2-3B) (Human)0.04210.04170.00940.00640.07960
Top-p Outliers (Llama-3.2-3B) (AI)0.03980.03930.01170.00000.18180
Top-k Outliers (Llama-3.2-3B-Instruct) (Human)0.09600.09170.03460.00640.26300
Top-k Outliers (Llama-3.2-3B-Instruct) (AI)0.09570.09120.04060.00010.50000
Top-k Outliers (Llama-3.2-3B) (Human)0.07780.07390.03060.00390.21920
Top-k Outliers (Llama-3.2-3B) (AI)0.08140.07640.03720.00010.50000
FastDetectGPT (Llama-3.2-3B-Instruct) (Human)-1.8366-1.79721.6611-10.57085.98970
FastDetectGPT (Llama-3.2-3B-Instruct) (AI)-1.9261-1.91961.8921-14.464756.78240
FastDetectGPT (Llama-3.2-3B) (Human)-0.1385-0.09411.0285-5.87952.76650
FastDetectGPT (Llama-3.2-3B) (AI)0.10400.03561.5462-10.485316.76970
Binoculars (Human)0.84690.85440.06810.03791.00630
Binoculars (AI)0.86900.86940.06220.03551.26660
Correlation heatmappairwise Pearson r⌄
Statistic correlations

Each pair is correlated over the rows where both are finite.Open full size ↗

Generated by the FastDetector analysis pipeline from the complete published corpus.config/analysis.toml
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