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cc-2021-rewritten-stat-editlens

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original stringlengths 109 64.3k	prompt dict	response_0 stringlengths 0 98.9k	response_1 stringlengths 0 136k	final_response stringlengths 0 136k	generator_model stringclasses 5 values	generation_params stringclasses 5 values	pairwise_softngram_original_final_response float64 0.06 1	pairwise_cosdist_original_final_response float64 0.03 1.12	pairwise_bertscore_precision_original_final_response float64 -0 1	pairwise_bertscore_recall_original_final_response float64 -0 1	pairwise_bertscore_f1_original_final_response float64 -0 1	pairwise_moverscore_original_final_response float64 0.01 1.23	jaccard_1_original_final_response float64 0 1	jaccard_2_original_final_response float64 0.03 1	levenshtein_original_final_response float64 7 122k	pairwise_cosdist_original_final_response_minimax float64 0.03 1	levenshtein_original_final_response_minimax float64 0 1	jaccard_1_original_final_response_minimax float64 0 1	jaccard_2_original_final_response_minimax float64 0.03 1	pairwise_softngram_original_final_response_minimax float64 0.06 1	pairwise_bertscore_f1_original_final_response_minimax float64 0 1	pairwise_moverscore_original_final_response_minimax float64 0 1	pairwise_cosdist_original_final_response_quantile float64 0.11 1	levenshtein_original_final_response_quantile float64 0.01 1	jaccard_1_original_final_response_quantile float64 0.01 1	jaccard_2_original_final_response_quantile float64 0.05 0.99	pairwise_softngram_original_final_response_quantile float64 0.15 0.97	pairwise_bertscore_f1_original_final_response_quantile float64 0 1	pairwise_moverscore_original_final_response_quantile float64 0 1	human_editlens_bucket int64 0 3	human_editlens_score float64 0.01 1	ai_editlens_bucket int64 0 3	ai_editlens_score float64 0.01 1
Okay, so you’re going to have to forgive me on this one – I’m trying to take pictures of my food, and photography isn’t one of my interests. However, of all the people I invited to eat my beans, I didn’t manage to invite anyone else who wanted to take pictures, either, so it was all up to me and the camera in my phone....	{ "chat_turns": [ "{{DOC}}\nChange the tone of this text to be more relaxed and friendly.\nOutput the full new text with no extra statements or commentations." ], "use_multiturn": false, "examples": [], "metadata": { "PROMPT_TYPE": "revise" } }	Sure, here’s a more relaxed and friendly version of the text: --- Hey there! So, I’ve been diving into the world of food photography, even though it’s not exactly my forte. When I invited folks over for some beans, I realized I was the only one with a camera—my phone, to be exact. 😅 But hey, I’m a pretty decent cook...		Sure, here’s a more relaxed and friendly version of the text: --- Hey there! So, I’ve been diving into the world of food photography, even though it’s not exactly my forte. When I invited folks over for some beans, I realized I was the only one with a camera—my phone, to be exact. 😅 But hey, I’m a pretty decent cook...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.758967	0.213042	0.192057	0.14605	0.16969	0.642226	0.885277	0.969447	18,331	0.195042	0.150297	0.885277	0.969447	0.758967	0.16969	0.518544	0.546263	0.992373	0.832612	0.735383	0.556203	0.557109	0.588781	0	0.023374	1	0.372341
Due to the spike in COVID PANDEMIC, we highly recommend that masks are worn and six feet distance between all in attendance, regardless of vaccination status. LaKedrian L. Somers, "Struggle" LaKedrian L. Somers, "Struggle", 33, a resident of DeLand, FL. transitioned during the early morning hours on Sunday, November 21...	{ "chat_turns": [ "{{DOC}}\nTake 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.\nOutput the full new text with no extra statements or commentation...	Rough Draft on a New Topic: The Importance of Community Gardens in Urban Areas Hey everyone, So, I’ve been thinking a lot lately about how urban areas could really benefit from having community gardens. You know, those little patches of green space where folks come together to grow their own veggies, herbs, and f...		Rough Draft on a New Topic: The Importance of Community Gardens in Urban Areas Hey everyone, So, I’ve been thinking a lot lately about how urban areas could really benefit from having community gardens. You know, those little patches of green space where folks come together to grow their own veggies, herbs, and f...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	1	0.961347	0.306235	0.381579	0.34607	0.922891	0.970232	0.999418	16,429	0.856295	0.134703	0.970232	0.999418	1	0.34607	0.747643	0.998018	0.989931	0.989888	0.988741	0.974879	0.994851	0.995517	0	0.018732	3	0.999591
The programmes are chiefly from chamber concerts. From 1904 to the early teens, the majority of programmes relate to piano recitals or vocal recitals. Other types of chamber music are more frequently represented from the teens onwards, in particular string quartets. There is a significant amount of programmes from conc...	{ "chat_turns": [ "{{DOC}}\nChange the tone of this text to be more empathetic and understanding.\nOutput the full new text with no extra statements or commentations." ], "use_multiturn": false, "examples": [], "metadata": { "PROMPT_TYPE": "revise" } }	The programmes in this collection primarily feature chamber concerts, offering a heartfelt glimpse into the musical life of the venue from 1904 through the early 1910s. During this period, the majority of the programmes highlight piano recitals and vocal recitals, reflecting the artistic tastes and preferences of the e...		The programmes in this collection primarily feature chamber concerts, offering a heartfelt glimpse into the musical life of the venue from 1904 through the early 1910s. During this period, the majority of the programmes highlight piano recitals and vocal recitals, reflecting the artistic tastes and preferences of the e...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.571791	0.083397	0.153138	0.109526	0.131879	0.559964	0.731013	0.844891	1,601	0.080478	0.013127	0.731013	0.844891	0.571791	0.131879	0.451396	0.265008	0.531394	0.462178	0.380831	0.420363	0.397785	0.422584	0	0.024659	3	0.780723
Pension regulators often employ various techniques to penalize business or companies that fail to comply with pension requirements, which explains as to why every business manager should be fully updated about pension schemes. In order to help companies in preventing penalties from pension regulators, pension professio...	{ "chat_turns": [ "{{DOC}}\nWrite a detailed descriptor for the style of writing of this text, including its qualitative and quantitative properties.\nDo not output anything besides what you were requested to write, and do not output any extra commentary.", "{{RESP_0}}\nAbove is an AI generated descriptor/tra...	The style of writing in this text can be characterized as follows: Qualitative Properties: 1. Informative and Expository: The text primarily serves to inform readers about pension auto enrolment services, their benefits, and how they operate. 2. Persuasive: It includes persuasive elements aimed at encouraging ...	Best Pensions Auto Enrolment Services: Ensure Compliance and Avoid Penalties In today's regulatory environment, ensuring that your company adheres to pension auto enrolment requirements is not just a legal obligation but a strategic advantage. Our dependable pensions auto enrolment solutions are designed to st...	Best Pensions Auto Enrolment Services: Ensure Compliance and Avoid Penalties In today's regulatory environment, ensuring that your company adheres to pension auto enrolment requirements is not just a legal obligation but a strategic advantage. Our dependable pensions auto enrolment solutions are designed to st...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.813853	0.177335	0.226626	0.215342	0.221025	0.709353	0.884521	0.97609	2,113	0.163489	0.017325	0.884521	0.97609	0.813853	0.221025	0.573338	0.475833	0.645278	0.830318	0.785064	0.606799	0.812475	0.774554	0	0.029892	3	0.999627
We are pleased to introduce our company, Advantage Corporate Apartments. We are your one call solution to short and long term furnished, serviced, and unfurnished apartments in the Metropolitan Atlanta area and the surrounding suburbs. We are also able to accommodate temporary living requests nationwide. Through our de...	{ "chat_turns": [ "{{DOC}}\nEdit this text by replacing, removing or inserting twenty to thirty words, without changing anything else.\nOutput the full new text with no extra statements or commentations.", "{{RESP_0}}\nEdit this text by replacing, removing or inserting twenty to thirty words, without changing...	We are pleased to introduce Advantage Corporate Apartments, your comprehensive solution for short and long-term furnished, serviced, and unfurnished apartments in Metropolitan Atlanta and surrounding suburbs, with nationwide temporary living accommodations. Our commitment to unparalleled customer service and premium qu...	We are delighted to present Advantage Corporate Apartments, your all-in-one solution for short and long-term furnished, serviced, and unfurnished apartments in Metropolitan Atlanta and its surrounding suburbs, offering nationwide temporary living options. Our dedication to exceptional customer service and premium quali...	We are delighted to present Advantage Corporate Apartments, your all-in-one solution for short and long-term furnished, serviced, and unfurnished apartments in Metropolitan Atlanta and its surrounding suburbs, offering nationwide temporary living options. Our dedication to exceptional customer service and premium quali...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.456008	0.128895	0.11066	0.126287	0.118543	0.518608	0.698198	0.861972	834	0.120683	0.006838	0.698198	0.861972	0.456008	0.118543	0.417638	0.36979	0.284122	0.415975	0.405644	0.349281	0.347092	0.356591	0	0.118822	3	0.740921
The club would like to send best wishes and a speedy recovery to Terry Ryan father of Trefelin manager Richard who is ill at present. Lido came out on top in this first ever competitive game against Trefelin. First half goals from Josh Webber and a penalty by Jordan Edwards was enough to secure the three points. Trefel...	{ "chat_turns": [ "{{DOC}}\nTranslate this text to Chinese.\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." ], "use_multiturn": false, "...	俱乐部希望将祝福和迅速康复的问候送给特里·拉恩，他是特雷弗林主管理查德的父亲，目前身患疾病。 Lido 在与特雷弗林进行首次竞争性比赛时取胜。Josh Webber 和 Jordan Edwards 的上半场进球以及一次由 Jordan Edwards 打中的点球足以确保了三分。尽管特雷弗林在下半场展开了激战，但整体而言，Lido 队防守非常英勇，回归的 Stefan Rogers 在门口做出了多次显著的扑救。特雷弗林在比赛中有助风，但 Lido 仍能更好地稳定。Chris Curtis 在第一分钟便被黄牌警告，因为他在 Jordan Edwards 前抢到球，但这个自由球被浪费了。Lido 在第 10 分钟取得领先，Josh...	Club wishes a blessing and a speedy recovery to Terry Lane, the father of Trevor Lin, who is currently ill. Lido won their first competitive match against Trevorlin with Josh Webber and Jordan Edwards scoring in the first half, along with a penalty kick by Jordan Edwards, securing a three-point victory. Although Trevo...	Club wishes a blessing and a speedy recovery to Terry Lane, the father of Trevor Lin, who is currently ill. Lido won their first competitive match against Trevorlin with Josh Webber and Jordan Edwards scoring in the first half, along with a penalty kick by Jordan Edwards, securing a three-point victory. Although Trevo...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.606078	0.231373	0.145041	0.146365	0.145704	0.580218	0.695864	0.888636	1,985	0.21124	0.016275	0.695864	0.888636	0.606078	0.145704	0.467928	0.579227	0.620329	0.413046	0.451985	0.442795	0.452721	0.458109	0	0.014348	0	0.21938
Instagram, a subsidiary of Facebook, announced on Monday that it is testing a feature that will alert users of outages or technical issues directly on the photo-sharing app, only days after two disruptions crippled the social media giant's services last week. Instagram announced in a blog post that the test will take p...	{ "chat_turns": [ "{{DOC}}\nWrite a detailed descriptor for the manner in which the author of this uses language, and things such as their word choice.\nDo not output anything besides what you were requested to write, and do not output any extra commentary.", "{{RESP_0}}\nAbove is an AI generated descriptor/t...	The author employs a straightforward and journalistic style in their language, characterized by concise and precise word choice. Key elements of the author's linguistic approach include: 1. Clarity and Directness: The author presents information in a clear, direct manner, ensuring that the reader quickly understan...	Instagram announced on Monday that it will introduce a new feature allowing users to upload and share videos up to 60 minutes long. This enhancement is part of the company's ongoing efforts to expand the platform's multimedia capabilities and compete with other social media giants. The rollout of this feature will be ...	Instagram announced on Monday that it will introduce a new feature allowing users to upload and share videos up to 60 minutes long. This enhancement is part of the company's ongoing efforts to expand the platform's multimedia capabilities and compete with other social media giants. The rollout of this feature will be ...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.955703	0.385641	0.206482	0.156417	0.182215	0.664771	0.817797	0.942149	1,356	0.347562	0.011118	0.817797	0.942149	0.955703	0.182215	0.536947	0.783837	0.460436	0.630828	0.596252	0.805489	0.616674	0.647837	1	0.386473	3	0.999608
have to the XML online concept research in food product design and development carefully and use yourself to the task been by each screen of relationship. 've Then come on the Eclipse list Study sample Well. discuss the absent same you was earlier. Eclipse performance version availability. The TextView settings shut by...	{ "chat_turns": [ "{{DOC}}\nEdit this text by replacing, removing or inserting twenty to thirty words, without changing anything else.\nOutput the full new text with no extra statements or commentations." ], "use_multiturn": false, "examples": [], "metadata": { "PROMPT_TYPE": "rewrite" } }	When Otto moved to Amsterdam, he discovered Anne's diary, which had been preserved by Miep Gies. He was deeply moved by what he read and later published it as a book. There had been a limited edition of Anne Frank: The Diary of a Young Girl that I had seen, but; Otto recalled in a letter to his son. When the Nazis inva...		When Otto moved to Amsterdam, he discovered Anne's diary, which had been preserved by Miep Gies. He was deeply moved by what he read and later published it as a book. There had been a limited edition of Anne Frank: The Diary of a Young Girl that I had seen, but; Otto recalled in a letter to his son. When the Nazis inva...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.955199	0.792673	0.291228	0.28542	0.288336	0.80533	0.935162	0.980626	6,870	0.707243	0.056328	0.935162	0.980626	0.955199	0.288336	0.651681	0.979417	0.934324	0.952165	0.824178	0.804301	0.968847	0.945993	0	0.007817	3	0.626006
Sometimes people get a bright orange growth, especially on tanks with lower nutrients, or after the scrubber lowered the nutrients that used to be higher. This type of growth fills in all the holes in a screen, and/or coats the rocky surfaces solidly. This growth is simply the type that is best suited for high-illumina...	{ "chat_turns": [ "{{DOC}}\nEdit this text by completely rewriting the topic sentence of every paragraph, while preserving the supporting sentences in those paragraphs verbatim.\nOutput the full new text with no extra statements or commentations.", "{{RESP_0}}\nEdit this text by combining at least four pairs ...	Sometimes, especially in tanks with lower nutrient levels or after a scrubber has reduced existing nutrients, an orange-colored growth can appear. This growth tends to fill all the openings in a screen and can coat rocky surfaces completely. It thrives under high illumination and low nutrient conditions, making it more...	Sometimes, especially in tanks with lower nutrient levels or after a scrubber has reduced existing nutrients, an orange-colored growth can appear; this growth tends to fill all the openings in a screen and can coat rocky surfaces completely. It thrives under high illumination and low nutrient conditions, making it more...	Sometimes, especially in tanks with lower nutrient levels or after a scrubber has reduced existing nutrients, an orange-colored growth can appear; this growth tends to fill all the openings in a screen and can coat rocky surfaces completely. It thrives under high illumination and low nutrient conditions, making it more...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.432945	0.103799	0.138804	0.132198	0.135514	0.541258	0.748936	0.92328	766	0.098507	0.00628	0.748936	0.92328	0.432945	0.135514	0.436127	0.312988	0.262146	0.490476	0.53401	0.335877	0.41218	0.391693	0	0.03095	1	0.317425
The perks of taking wellness supplements are numerous, consisting of: building up the body immune system, reducing cholesterol degrees, and also even stopping specific cancers cells from building in the physical body. A natural drug can easily also decrease your risk of specific conditions, like diabetic issues as well...	{ "chat_turns": [ "{{DOC}}\nChange the tone of this text to be more relaxed and friendly.\nOutput the full new text with no extra statements or commentations.", "{{RESP_0}}\nChange the tone of this text to be more empathetic and understanding.\nOutput the full new text with no extra statements or commentation...	Sure thing! Let's give this a more relaxed and friendly vibe: --- Hey there! So, you're curious about wellness supplements, huh? Well, let me tell you, they've got a bunch of awesome perks that can really boost your health. Think about it: they can give your immune system a little extra love, help keep those choleste...	Hey there! I totally get it—you're exploring wellness supplements and want to make sure you're making the best choices for your health. It's wonderful that you're taking this step, as these supplements can indeed offer some amazing benefits. They can support your immune system, help manage cholesterol, and even play a ...	Hey there! I totally get it—you're exploring wellness supplements and want to make sure you're making the best choices for your health. It's wonderful that you're taking this step, as these supplements can indeed offer some amazing benefits. They can support your immune system, help manage cholesterol, and even play a ...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.89964	0.35401	0.195076	0.203444	0.199282	0.689121	0.840299	0.982523	5,187	0.31961	0.042529	0.840299	0.982523	0.89964	0.199282	0.556823	0.749778	0.895932	0.692419	0.841469	0.707922	0.704078	0.716993	0	0.018724	3	0.872642
1. Ensure all users have exited from ACCPAC Plus 2. From the Start Menu (main ACCPAC menu) press F3 3. Select “Check Data Integrity 4. Select “One Start List Item” 5. Select the module you are having issues with 6. ACCPAC will run a Phase 1 integrity check first 7. If the data passes the Phase 1 check you will be promp...	{ "chat_turns": [ "{{DOC}}\nChange the tone of this text to be more suited for a business audience.\nOutput the full new text with no extra statements or commentations." ], "use_multiturn": false, "examples": [], "metadata": { "PROMPT_TYPE": "revise" } }	To ensure data integrity within ACCPAC Plus for your business operations, please follow these steps: 1. Confirm that all users have exited the ACCPAC Plus application. 2. Access the Start Menu (the main ACCPAC menu) and press F3 to initiate the Data Integrity Check process. 3. Select the option “Check Data Integrity.”...		To ensure data integrity within ACCPAC Plus for your business operations, please follow these steps: 1. Confirm that all users have exited the ACCPAC Plus application. 2. Access the Start Menu (the main ACCPAC menu) and press F3 to initiate the Data Integrity Check process. 3. Select the option “Check Data Integrity.”...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.48993	0.085902	0.133524	0.10068	0.117407	0.513343	0.649057	0.865546	1,132	0.082692	0.009281	0.649057	0.865546	0.48993	0.117407	0.41334	0.271265	0.386739	0.359513	0.411007	0.369634	0.343	0.348403	0	0.012136	1	0.55343
Any file that has the handler cgi-script will be treated as a CGI script, and run by the server, with its output being returned to the client. Files acquire this handler either by having a name containing an extension defined by the AddHandler directive, or by being in a ScriptAlias directory. For an introduction to us...	{ "chat_turns": [ "{{DOC}}\nEdit this text by replacing, removing or inserting twenty to thirty words, without changing anything else.\nOutput the full new text with no extra statements or commentations.", "{{RESP_0}}\nEdit this text by combining at least four pairs of short, adjacent sentences into complex s...	The CGI error log records detailed information about any CGI script that fails to execute properly, providing several lines of context including the request line, HTTP status, and script filename. If the failure is due to an inability to run the script, additional lines include an error message. For issues arising from...	The CGI error log records detailed information about any CGI script that fails to execute properly, providing several lines of context including the request line, HTTP status, and script filename, and if the failure is due to an inability to run the script, it includes additional lines with an error message; furthermor...	The CGI error log records detailed information about any CGI script that fails to execute properly, providing several lines of context including the request line, HTTP status, and script filename, and if the failure is due to an inability to run the script, it includes additional lines with an error message; furthermor...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.598413	0.27225	0.190028	0.237329	0.21439	0.713358	0.829146	0.956468	3,582	0.247362	0.029369	0.829146	0.956468	0.598413	0.21439	0.576608	0.644407	0.819236	0.660733	0.659206	0.437772	0.78209	0.785832	0	0.007571	1	0.331263
Using solutions from nature itself. That is what we do at Koppert Biological Systems. Together with growers and in partnership with nature, we work to make agriculture and horticulture healthier, safer, more productive and resilient. We achieve this by using natural enemies and micro-organisms to combat pests and plant...	{ "chat_turns": [ "{{DOC}}\nFormulate 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.\nDo not output anything besides what you were requested to write...	Constraints for AI Text Generation: 1. Format: - The output must be a single coherent paragraph. - No headings, subheadings, or bullet points are allowed. 2. Word Count: - The text must contain exactly 300 words. 3. Vocabulary Restrictions: - Use only the following approved vocabulary wo...	Using solutions from nature itself we firmly believe in the power of nature working with nature requires a holistic approach which makes the cultivation of food crops environmentally friendly and free of chemical residue working with growers and in partnership with nature we work to make agriculture and horticulture he...	Using solutions from nature itself we firmly believe in the power of nature working with nature requires a holistic approach which makes the cultivation of food crops environmentally friendly and free of chemical residue working with growers and in partnership with nature we work to make agriculture and horticulture he...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.062736	0.097322	0.069719	0.080986	0.075386	0.404414	0.370166	0.435294	796	0.092784	0.006526	0.370166	0.435294	0.062736	0.075386	0.324425	0.298326	0.271798	0.197771	0.180314	0.151997	0.212628	0.22003	0	0.066151	0	0.017556
Animazement is always a fun convention to go too. This year, for the second year, I judged the cosplay contest. I have always loved competing at Animazement, and did so for many years, so it is neat to be on the other side judging all the amazing costumes, the amount of creativity that people come with just amazes me! ...	{ "chat_turns": [ "{{DOC}}\nTranslate this text to Chinese.\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." ], "use_multiturn": false, "...	Animazement 每年都是一次很有趣的盛会。今年，我第二年参加了服装比赛的评委。我一直热爱在Animazement竞争，多年来这样做，所以成为评委真是很酷！因为我5月初毕业于研究生院，所以没有太多时间缝纫，我准备了一个lolita连衣裙，并带了一些更早期的服装和配件（《料理鼠女郎》、USO Girl 和蒸汽朋克装）。我还制作了一些可爱的头巾，与我的连衣裙相配，可惜在拆运车时，其中一个掉到地上并丢失了！我的新连衣裙！非常舒适！（感谢 SoulFire Studios 提供的照片！）我与善良的Chiara Scuro同屋，她也在周六晚上与我一起穿蒸汽朋克装。（感谢 FoxFang 提供的照片！）至于实际盛会，Animaz...	Animazement is always a very fun event each year. This year, I served as a judge for the costume contest for the second time. I have loved competing at Animazement for years, so becoming a judge is really cool! Since I graduated from graduate school in early May, I didn't have much time to sew, so I prepared a lolita d...	Animazement is always a very fun event each year. This year, I served as a judge for the costume contest for the second time. I have loved competing at Animazement for years, so becoming a judge is really cool! Since I graduated from graduate school in early May, I didn't have much time to sew, so I prepared a lolita d...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.620168	0.075293	0.116327	0.118232	0.117281	0.501134	0.680791	0.861685	1,056	0.073317	0.008658	0.680791	0.861685	0.620168	0.117281	0.403375	0.244981	0.360667	0.39438	0.405157	0.452027	0.342522	0.330573	0	0.01116	1	0.285691
Torque is a vehicle / car performance / diagnostics tool that uses an OBD II Bluetooth adapter to connect to your OBD2 engine management / ECU. It can use the GPS to provide tracker logs with engine logging so you can see what you were doing at any point in time It can also show and reset a DTC / fault code like a scan...	{ "chat_turns": [ "{{DOC}}\nClarify this text by paraphrasing it with different vocabulary and varied sentence structures.\nOutput the full new text with no extra statements or commentations." ], "use_multiturn": false, "examples": [], "metadata": { "PROMPT_TYPE": "revise" } }	Torque is an advanced vehicle performance and diagnostic application that interfaces with a Bluetooth-enabled OBD-II adapter to communicate with a car's engine control unit (ECU). This tool harnesses GPS technology to generate detailed logs of engine activity, allowing users to review their driving behavior at any give...		Torque is an advanced vehicle performance and diagnostic application that interfaces with a Bluetooth-enabled OBD-II adapter to communicate with a car's engine control unit (ECU). This tool harnesses GPS technology to generate detailed logs of engine activity, allowing users to review their driving behavior at any give...	cyankiwi/granite-4.1-8b-AWQ-INT4	{"temperature": 0.6, "top_p": 0.9, "top_k": 40, "presence_penalty": 1.5, "disable_thinking": false}	0.679455	0.166536	0.20646	0.176584	0.191798	0.657416	0.833333	0.956522	1,343	0.153946	0.011011	0.833333	0.956522	0.679455	0.191798	0.530943	0.452841	0.456303	0.672466	0.659485	0.493713	0.665087	0.627805	1	0.309125	3	0.985286

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Fastdetector Editlens Metrics

Summary Stats

Overall
- (bin): Accuracy: 0.8702 / F1: 0.8593 / AUROC: 0.8802 / TPR: 0.7925 / FNR: 0.2075 / Correlations: pairwise_cosdist_original_final_response: 0.2346 / pairwise_softngram_original_final_response: 0.4730
- (score): Accuracy: 0.8733 / F1: 0.8659 / AUROC: 0.9352 / TPR: 0.8182 / FNR: 0.1818 / Correlations: pairwise_cosdist_original_final_response: 0.2399 / pairwise_softngram_original_final_response: 0.5018
❗ rewrite
- (bin): Accuracy: 0.8178 / F1: 0.7908 / AUROC: 0.8220 / TPR: 0.6888 / FNR: 0.3112 / Correlations: pairwise_cosdist_original_final_response: 0.2823 / pairwise_softngram_original_final_response: 0.4240
- (score): Accuracy: 0.8230 / F1: 0.8024 / AUROC: 0.9019 / TPR: 0.7188 / FNR: 0.2812 / Correlations: pairwise_cosdist_original_final_response: 0.3064 / pairwise_softngram_original_final_response: 0.4624
indirect_reference
- (bin): Accuracy: 0.8696 / F1: 0.8583 / AUROC: 0.8806 / TPR: 0.7897 / FNR: 0.2103 / Correlations: pairwise_cosdist_original_final_response: 0.3450 / pairwise_softngram_original_final_response: 0.4811
- (score): Accuracy: 0.8757 / F1: 0.8685 / AUROC: 0.9494 / TPR: 0.8212 / FNR: 0.1788 / Correlations: pairwise_cosdist_original_final_response: 0.3558 / pairwise_softngram_original_final_response: 0.5034
✔️ revise
- (bin): Accuracy: 0.9400 / F1: 0.9396 / AUROC: 0.9510 / TPR: 0.9323 / FNR: 0.0677 / Correlations: pairwise_cosdist_original_final_response: 0.2925 / pairwise_softngram_original_final_response: 0.4357
- (score): Accuracy: 0.9389 / F1: 0.9395 / AUROC: 0.9823 / TPR: 0.9494 / FNR: 0.0506 / Correlations: pairwise_cosdist_original_final_response: 0.3150 / pairwise_softngram_original_final_response: 0.4856
direct_reference
- (bin): Accuracy: 0.8286 / F1: 0.8056 / AUROC: 0.8398 / TPR: 0.7101 / FNR: 0.2899 / Correlations: pairwise_cosdist_original_final_response: 0.1384 / pairwise_softngram_original_final_response: 0.5092
- (score): Accuracy: 0.8319 / F1: 0.8141 / AUROC: 0.8903 / TPR: 0.7362 / FNR: 0.2638 / Correlations: pairwise_cosdist_original_final_response: 0.1412 / pairwise_softngram_original_final_response: 0.5371
✔️ Ministral-3-8B-Instruct-2512-AWQ-4bit (temperature: 0.6)
- (bin): Accuracy: 0.9701 / F1: 0.9706 / AUROC: 0.9868 / TPR: 0.9885 / FNR: 0.0115 / Correlations: pairwise_cosdist_original_final_response: 0.3026 / pairwise_softngram_original_final_response: 0.5088
- (score): Accuracy: 0.9616 / F1: 0.9627 / AUROC: 0.9959 / TPR: 0.9915 / FNR: 0.0085 / Correlations: pairwise_cosdist_original_final_response: 0.3186 / pairwise_softngram_original_final_response: 0.5618
granite-4.1-8b-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.9058 / F1: 0.9015 / AUROC: 0.9174 / TPR: 0.8623 / FNR: 0.1377 / Correlations: pairwise_cosdist_original_final_response: 0.2938 / pairwise_softngram_original_final_response: 0.5900
- (score): Accuracy: 0.9053 / F1: 0.9029 / AUROC: 0.9594 / TPR: 0.8812 / FNR: 0.1188 / Correlations: pairwise_cosdist_original_final_response: 0.3072 / pairwise_softngram_original_final_response: 0.6319
Qwen3-8B-AWQ (temperature: 1.25)
- (bin): Accuracy: 0.8703 / F1: 0.8596 / AUROC: 0.8800 / TPR: 0.7941 / FNR: 0.2059 / Correlations: pairwise_cosdist_original_final_response: 0.4423 / pairwise_softngram_original_final_response: 0.6470
- (score): Accuracy: 0.8727 / F1: 0.8655 / AUROC: 0.9337 / TPR: 0.8196 / FNR: 0.1804 / Correlations: pairwise_cosdist_original_final_response: 0.4632 / pairwise_softngram_original_final_response: 0.6880
Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.8154 / F1: 0.7875 / AUROC: 0.8190 / TPR: 0.6838 / FNR: 0.3162 / Correlations: pairwise_cosdist_original_final_response: 0.1510 / pairwise_softngram_original_final_response: 0.2937
- (score): Accuracy: 0.8189 / F1: 0.7969 / AUROC: 0.8896 / TPR: 0.7106 / FNR: 0.2894 / Correlations: pairwise_cosdist_original_final_response: 0.1622 / pairwise_softngram_original_final_response: 0.3258
gemma-4-E4B-it (temperature: 0.7)
- (bin): Accuracy: 0.8502 / F1: 0.8342 / AUROC: 0.8576 / TPR: 0.7539 / FNR: 0.2461 / Correlations: pairwise_cosdist_original_final_response: 0.3075 / pairwise_softngram_original_final_response: 0.4997
- (score): Accuracy: 0.8540 / F1: 0.8425 / AUROC: 0.9217 / TPR: 0.7805 / FNR: 0.2195 / Correlations: pairwise_cosdist_original_final_response: 0.3175 / pairwise_softngram_original_final_response: 0.5373
❗ Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.7628 / F1: 0.7093 / AUROC: 0.7712 / TPR: 0.5787 / FNR: 0.4213 / Correlations: pairwise_cosdist_original_final_response: 0.2656 / pairwise_softngram_original_final_response: 0.4791
- (score): Accuracy: 0.7838 / F1: 0.7470 / AUROC: 0.8802 / TPR: 0.6385 / FNR: 0.3615 / Correlations: pairwise_cosdist_original_final_response: 0.2693 / pairwise_softngram_original_final_response: 0.5025
granite-4.1-8b-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.9248 / F1: 0.9230 / AUROC: 0.9365 / TPR: 0.9020 / FNR: 0.0980 / Correlations: pairwise_cosdist_original_final_response: 0.2788 / pairwise_softngram_original_final_response: 0.5673
- (score): Accuracy: 0.9215 / F1: 0.9209 / AUROC: 0.9662 / TPR: 0.9145 / FNR: 0.0855 / Correlations: pairwise_cosdist_original_final_response: 0.2958 / pairwise_softngram_original_final_response: 0.6173
Qwen3-8B-AWQ (temperature: 0.7)
- (bin): Accuracy: 0.8419 / F1: 0.8234 / AUROC: 0.8514 / TPR: 0.7370 / FNR: 0.2630 / Correlations: pairwise_cosdist_original_final_response: 0.4042 / pairwise_softngram_original_final_response: 0.6255
- (score): Accuracy: 0.8524 / F1: 0.8404 / AUROC: 0.9242 / TPR: 0.7774 / FNR: 0.2226 / Correlations: pairwise_cosdist_original_final_response: 0.4287 / pairwise_softngram_original_final_response: 0.6659

Note: ❗ means this was the hardest split by accuracy, and ✔️ means this was the easiest split by accuracy. Thresholds used were attained by sweeping over a small validation set split from the data.

Validation Threshold

Validation rows = 18026 / Total rows = 180263

Summary plots

Overall

CM Scores (Overall) (F1 Score: 0.8662)

	Predicted Positive	Predicted Negative
Actual Positive	147569 (TPR: 81.86%)	32694 (FNR: 18.14%)
Actual Negative	12913 (FPR: 7.16%)	167350 (TNR: 92.84%)

CM Bins (Overall) (F1 Score: 0.8595)

	Predicted Positive	Predicted Negative
Actual Positive	142931 (TPR: 79.29%)	37332 (FNR: 20.71%)
Actual Negative	9401 (FPR: 5.22%)	170862 (TNR: 94.78%)

rewrite

CM Scores (rewrite) (F1 Score: 0.8035)

	Predicted Positive	Predicted Negative
Actual Positive	20058 (TPR: 72.05%)	7781 (FNR: 27.95%)
Actual Negative	2028 (FPR: 7.28%)	25811 (TNR: 92.72%)

CM Bins (rewrite) (F1 Score: 0.7916)

	Predicted Positive	Predicted Negative
Actual Positive	19208 (TPR: 69.00%)	8631 (FNR: 31.00%)
Actual Negative	1480 (FPR: 5.32%)	26359 (TNR: 94.68%)

indirect_reference

CM Scores (indirect_reference) (F1 Score: 0.8692)

	Predicted Positive	Predicted Negative
Actual Positive	42460 (TPR: 82.21%)	9191 (FNR: 17.79%)
Actual Negative	3593 (FPR: 6.96%)	48058 (TNR: 93.04%)

CM Bins (indirect_reference) (F1 Score: 0.8586)

	Predicted Positive	Predicted Negative
Actual Positive	40822 (TPR: 79.03%)	10829 (FNR: 20.97%)
Actual Negative	2613 (FPR: 5.06%)	49038 (TNR: 94.94%)

revise

CM Scores (revise) (F1 Score: 0.9394)

	Predicted Positive	Predicted Negative
Actual Positive	48476 (TPR: 94.97%)	2567 (FNR: 5.03%)
Actual Negative	3686 (FPR: 7.22%)	47357 (TNR: 92.78%)

CM Bins (revise) (F1 Score: 0.9396)

	Predicted Positive	Predicted Negative
Actual Positive	47614 (TPR: 93.28%)	3429 (FNR: 6.72%)
Actual Negative	2691 (FPR: 5.27%)	48352 (TNR: 94.73%)

direct_reference

CM Scores (direct_reference) (F1 Score: 0.8136)

	Predicted Positive	Predicted Negative
Actual Positive	36575 (TPR: 73.55%)	13155 (FNR: 26.45%)
Actual Negative	3606 (FPR: 7.25%)	46124 (TNR: 92.75%)

CM Bins (direct_reference) (F1 Score: 0.8053)

	Predicted Positive	Predicted Negative
Actual Positive	35287 (TPR: 70.96%)	14443 (FNR: 29.04%)
Actual Negative	2617 (FPR: 5.26%)	47113 (TNR: 94.74%)

Ministral-3-8B-Instruct-2512-AWQ-4bit (temperature: 0.6)

CM Scores (Ministral-3-8B-Instruct-2512-AWQ-4bit (temperature: 0.6)) (F1 Score: 0.9626)

	Predicted Positive	Predicted Negative
Actual Positive	26285 (TPR: 99.16%)	224 (FNR: 0.84%)
Actual Negative	1817 (FPR: 6.85%)	24692 (TNR: 93.15%)

CM Bins (Ministral-3-8B-Instruct-2512-AWQ-4bit (temperature: 0.6)) (F1 Score: 0.9706)

	Predicted Positive	Predicted Negative
Actual Positive	26206 (TPR: 98.86%)	303 (FNR: 1.14%)
Actual Negative	1286 (FPR: 4.85%)	25223 (TNR: 95.15%)

granite-4.1-8b-AWQ-INT4 (temperature: 0.6)

CM Scores (granite-4.1-8b-AWQ-INT4 (temperature: 0.6)) (F1 Score: 0.9032)

	Predicted Positive	Predicted Negative
Actual Positive	20142 (TPR: 88.13%)	2712 (FNR: 11.87%)
Actual Negative	1607 (FPR: 7.03%)	21247 (TNR: 92.97%)

CM Bins (granite-4.1-8b-AWQ-INT4 (temperature: 0.6)) (F1 Score: 0.9017)

	Predicted Positive	Predicted Negative
Actual Positive	19709 (TPR: 86.24%)	3145 (FNR: 13.76%)
Actual Negative	1151 (FPR: 5.04%)	21703 (TNR: 94.96%)

Qwen3-8B-AWQ (temperature: 1.25)

CM Scores (Qwen3-8B-AWQ (temperature: 1.25)) (F1 Score: 0.8651)

	Predicted Positive	Predicted Negative
Actual Positive	15619 (TPR: 81.94%)	3442 (FNR: 18.06%)
Actual Negative	1428 (FPR: 7.49%)	17633 (TNR: 92.51%)

CM Bins (Qwen3-8B-AWQ (temperature: 1.25)) (F1 Score: 0.8592)

	Predicted Positive	Predicted Negative
Actual Positive	15136 (TPR: 79.41%)	3925 (FNR: 20.59%)
Actual Negative	1035 (FPR: 5.43%)	18026 (TNR: 94.57%)

Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 1.25)

CM Scores (Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 1.25)) (F1 Score: 0.7981)

	Predicted Positive	Predicted Negative
Actual Positive	18823 (TPR: 71.22%)	7608 (FNR: 28.78%)
Actual Negative	1917 (FPR: 7.25%)	24514 (TNR: 92.75%)

CM Bins (Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 1.25)) (F1 Score: 0.7882)

	Predicted Positive	Predicted Negative
Actual Positive	18104 (TPR: 68.50%)	8327 (FNR: 31.50%)
Actual Negative	1403 (FPR: 5.31%)	25028 (TNR: 94.69%)

gemma-4-E4B-it (temperature: 0.7)

CM Scores (gemma-4-E4B-it (temperature: 0.7)) (F1 Score: 0.8415)

	Predicted Positive	Predicted Negative
Actual Positive	16193 (TPR: 77.93%)	4586 (FNR: 22.07%)
Actual Negative	1513 (FPR: 7.28%)	19266 (TNR: 92.72%)

CM Bins (gemma-4-E4B-it (temperature: 0.7)) (F1 Score: 0.8332)

	Predicted Positive	Predicted Negative
Actual Positive	15630 (TPR: 75.22%)	5149 (FNR: 24.78%)
Actual Negative	1108 (FPR: 5.33%)	19671 (TNR: 94.67%)

Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 0.6)

CM Scores (Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 0.6)) (F1 Score: 0.7472)

	Predicted Positive	Predicted Negative
Actual Positive	14478 (TPR: 63.88%)	8186 (FNR: 36.12%)
Actual Negative	1611 (FPR: 7.11%)	21053 (TNR: 92.89%)

CM Bins (Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 0.6)) (F1 Score: 0.7100)

	Predicted Positive	Predicted Negative
Actual Positive	13141 (TPR: 57.98%)	9523 (FNR: 42.02%)
Actual Negative	1210 (FPR: 5.34%)	21454 (TNR: 94.66%)

granite-4.1-8b-AWQ-INT4 (temperature: 1.25)

CM Scores (granite-4.1-8b-AWQ-INT4 (temperature: 1.25)) (F1 Score: 0.9215)

	Predicted Positive	Predicted Negative
Actual Positive	22336 (TPR: 91.57%)	2055 (FNR: 8.43%)
Actual Negative	1752 (FPR: 7.18%)	22639 (TNR: 92.82%)

CM Bins (granite-4.1-8b-AWQ-INT4 (temperature: 1.25)) (F1 Score: 0.9236)

	Predicted Positive	Predicted Negative
Actual Positive	22027 (TPR: 90.31%)	2364 (FNR: 9.69%)
Actual Negative	1281 (FPR: 5.25%)	23110 (TNR: 94.75%)

Qwen3-8B-AWQ (temperature: 0.7)

CM Scores (Qwen3-8B-AWQ (temperature: 0.7)) (F1 Score: 0.8417)

	Predicted Positive	Predicted Negative
Actual Positive	13693 (TPR: 77.92%)	3881 (FNR: 22.08%)
Actual Negative	1268 (FPR: 7.22%)	16306 (TNR: 92.78%)

CM Bins (Qwen3-8B-AWQ (temperature: 0.7)) (F1 Score: 0.8245)

	Predicted Positive	Predicted Negative
Actual Positive	12978 (TPR: 73.85%)	4596 (FNR: 26.15%)
Actual Negative	927 (FPR: 5.27%)	16647 (TNR: 94.73%)

All Statistics

✔️ rewrite / Ministral-3-8B-Instruct-2512-AWQ-4bit (temperature: 0.6)
- (bin): Accuracy: 0.9657 / F1: 0.9663 / AUROC: 0.9775 / TPR: 0.9835 / FNR: 0.0165 / Correlations: pairwise_cosdist_original_final_response: 0.3099 / pairwise_softngram_original_final_response: 0.4569
- (score): Accuracy: 0.9589 / F1: 0.9601 / AUROC: 0.9926 / TPR: 0.9896 / FNR: 0.0104 / Correlations: pairwise_cosdist_original_final_response: 0.3386 / pairwise_softngram_original_final_response: 0.5274
rewrite / granite-4.1-8b-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.8979 / F1: 0.8922 / AUROC: 0.9022 / TPR: 0.8453 / FNR: 0.1547 / Correlations: pairwise_cosdist_original_final_response: 0.2901 / pairwise_softngram_original_final_response: 0.5116
- (score): Accuracy: 0.9018 / F1: 0.8988 / AUROC: 0.9644 / TPR: 0.8725 / FNR: 0.1275 / Correlations: pairwise_cosdist_original_final_response: 0.3193 / pairwise_softngram_original_final_response: 0.5811
❗ rewrite / Qwen3-8B-AWQ (temperature: 1.25)
- (bin): Accuracy: 0.6734 / F1: 0.5546 / AUROC: 0.6749 / TPR: 0.4066 / FNR: 0.5934 / Correlations: pairwise_cosdist_original_final_response: 0.2776 / pairwise_softngram_original_final_response: 0.4137
- (score): Accuracy: 0.6896 / F1: 0.5991 / AUROC: 0.7906 / TPR: 0.4639 / FNR: 0.5361 / Correlations: pairwise_cosdist_original_final_response: 0.3153 / pairwise_softngram_original_final_response: 0.4558
rewrite / Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.7482 / F1: 0.6857 / AUROC: 0.7481 / TPR: 0.5493 / FNR: 0.4507 / Correlations: pairwise_cosdist_original_final_response: 0.3849 / pairwise_softngram_original_final_response: 0.4446
- (score): Accuracy: 0.7538 / F1: 0.7021 / AUROC: 0.8529 / TPR: 0.5802 / FNR: 0.4198 / Correlations: pairwise_cosdist_original_final_response: 0.4297 / pairwise_softngram_original_final_response: 0.4959
rewrite / gemma-4-E4B-it (temperature: 0.7)
- (bin): Accuracy: 0.7055 / F1: 0.6110 / AUROC: 0.7057 / TPR: 0.4626 / FNR: 0.5374 / Correlations: pairwise_cosdist_original_final_response: 0.2808 / pairwise_softngram_original_final_response: 0.4460
- (score): Accuracy: 0.7172 / F1: 0.6423 / AUROC: 0.8334 / TPR: 0.5078 / FNR: 0.4922 / Correlations: pairwise_cosdist_original_final_response: 0.3165 / pairwise_softngram_original_final_response: 0.4814
❗ rewrite / Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.5931 / F1: 0.3795 / AUROC: 0.5940 / TPR: 0.2489 / FNR: 0.7511 / Correlations: pairwise_cosdist_original_final_response: 0.2727 / pairwise_softngram_original_final_response: 0.3482
- (score): Accuracy: 0.6172 / F1: 0.4509 / AUROC: 0.7751 / TPR: 0.3143 / FNR: 0.6857 / Correlations: pairwise_cosdist_original_final_response: 0.3206 / pairwise_softngram_original_final_response: 0.3912
rewrite / granite-4.1-8b-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.9283 / F1: 0.9265 / AUROC: 0.9324 / TPR: 0.9035 / FNR: 0.0965 / Correlations: pairwise_cosdist_original_final_response: 0.2994 / pairwise_softngram_original_final_response: 0.4804
- (score): Accuracy: 0.9294 / F1: 0.9289 / AUROC: 0.9673 / TPR: 0.9228 / FNR: 0.0772 / Correlations: pairwise_cosdist_original_final_response: 0.3481 / pairwise_softngram_original_final_response: 0.5671
❗ rewrite / Qwen3-8B-AWQ (temperature: 0.7)
- (bin): Accuracy: 0.6201 / F1: 0.4475 / AUROC: 0.6221 / TPR: 0.3078 / FNR: 0.6922 / Correlations: pairwise_cosdist_original_final_response: 0.1822 / pairwise_softngram_original_final_response: 0.3633
- (score): Accuracy: 0.6353 / F1: 0.4996 / AUROC: 0.7384 / TPR: 0.3641 / FNR: 0.6359 / Correlations: pairwise_cosdist_original_final_response: 0.2297 / pairwise_softngram_original_final_response: 0.4078
indirect_reference / Ministral-3-8B-Instruct-2512-AWQ-4bit (temperature: 0.6)
- (bin): Accuracy: 0.9633 / F1: 0.9638 / AUROC: 0.9791 / TPR: 0.9758 / FNR: 0.0242 / Correlations: pairwise_cosdist_original_final_response: 0.2320 / pairwise_softngram_original_final_response: 0.3840
- (score): Accuracy: 0.9557 / F1: 0.9568 / AUROC: 0.9932 / TPR: 0.9806 / FNR: 0.0194 / Correlations: pairwise_cosdist_original_final_response: 0.2264 / pairwise_softngram_original_final_response: 0.4216
indirect_reference / granite-4.1-8b-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.8814 / F1: 0.8722 / AUROC: 0.8916 / TPR: 0.8092 / FNR: 0.1908 / Correlations: pairwise_cosdist_original_final_response: 0.3340 / pairwise_softngram_original_final_response: 0.5731
- (score): Accuracy: 0.8877 / F1: 0.8823 / AUROC: 0.9603 / TPR: 0.8419 / FNR: 0.1581 / Correlations: pairwise_cosdist_original_final_response: 0.3431 / pairwise_softngram_original_final_response: 0.6061
indirect_reference / Qwen3-8B-AWQ (temperature: 1.25)
- (bin): Accuracy: 0.8734 / F1: 0.8635 / AUROC: 0.8866 / TPR: 0.8011 / FNR: 0.1989 / Correlations: pairwise_cosdist_original_final_response: 0.5026 / pairwise_softngram_original_final_response: 0.6849
- (score): Accuracy: 0.8793 / F1: 0.8735 / AUROC: 0.9562 / TPR: 0.8331 / FNR: 0.1669 / Correlations: pairwise_cosdist_original_final_response: 0.5229 / pairwise_softngram_original_final_response: 0.7112
indirect_reference / Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.8500 / F1: 0.8337 / AUROC: 0.8554 / TPR: 0.7516 / FNR: 0.2484 / Correlations: pairwise_cosdist_original_final_response: 0.4180 / pairwise_softngram_original_final_response: 0.3815
- (score): Accuracy: 0.8503 / F1: 0.8374 / AUROC: 0.9105 / TPR: 0.7710 / FNR: 0.2290 / Correlations: pairwise_cosdist_original_final_response: 0.4588 / pairwise_softngram_original_final_response: 0.4296
indirect_reference / gemma-4-E4B-it (temperature: 0.7)
- (bin): Accuracy: 0.8303 / F1: 0.8081 / AUROC: 0.8405 / TPR: 0.7144 / FNR: 0.2856 / Correlations: pairwise_cosdist_original_final_response: 0.3889 / pairwise_softngram_original_final_response: 0.4400
- (score): Accuracy: 0.8392 / F1: 0.8237 / AUROC: 0.9293 / TPR: 0.7513 / FNR: 0.2487 / Correlations: pairwise_cosdist_original_final_response: 0.4054 / pairwise_softngram_original_final_response: 0.4576
indirect_reference / Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.7928 / F1: 0.7545 / AUROC: 0.8025 / TPR: 0.6368 / FNR: 0.3632 / Correlations: pairwise_cosdist_original_final_response: 0.5012 / pairwise_softngram_original_final_response: 0.5740
- (score): Accuracy: 0.8137 / F1: 0.7891 / AUROC: 0.9254 / TPR: 0.6969 / FNR: 0.3031 / Correlations: pairwise_cosdist_original_final_response: 0.5191 / pairwise_softngram_original_final_response: 0.6036
indirect_reference / granite-4.1-8b-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.9124 / F1: 0.9091 / AUROC: 0.9245 / TPR: 0.8766 / FNR: 0.1234 / Correlations: pairwise_cosdist_original_final_response: 0.3658 / pairwise_softngram_original_final_response: 0.5674
- (score): Accuracy: 0.9139 / F1: 0.9123 / AUROC: 0.9701 / TPR: 0.8958 / FNR: 0.1042 / Correlations: pairwise_cosdist_original_final_response: 0.3721 / pairwise_softngram_original_final_response: 0.6003
indirect_reference / Qwen3-8B-AWQ (temperature: 0.7)
- (bin): Accuracy: 0.8445 / F1: 0.8255 / AUROC: 0.8557 / TPR: 0.7356 / FNR: 0.2644 / Correlations: pairwise_cosdist_original_final_response: 0.4423 / pairwise_softngram_original_final_response: 0.6481
- (score): Accuracy: 0.8590 / F1: 0.8479 / AUROC: 0.9482 / TPR: 0.7861 / FNR: 0.2139 / Correlations: pairwise_cosdist_original_final_response: 0.4585 / pairwise_softngram_original_final_response: 0.6731
✔️ revise / Ministral-3-8B-Instruct-2512-AWQ-4bit (temperature: 0.6)
- (bin): Accuracy: 0.9770 / F1: 0.9775 / AUROC: 0.9945 / TPR: 0.9980 / FNR: 0.0020 / Correlations: pairwise_cosdist_original_final_response: 0.2102 / pairwise_softngram_original_final_response: 0.3823
- (score): Accuracy: 0.9677 / F1: 0.9687 / AUROC: 0.9987 / TPR: 0.9987 / FNR: 0.0013 / Correlations: pairwise_cosdist_original_final_response: 0.2212 / pairwise_softngram_original_final_response: 0.4455
revise / granite-4.1-8b-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.9621 / F1: 0.9627 / AUROC: 0.9769 / TPR: 0.9782 / FNR: 0.0218 / Correlations: pairwise_cosdist_original_final_response: 0.2385 / pairwise_softngram_original_final_response: 0.4396
- (score): Accuracy: 0.9557 / F1: 0.9570 / AUROC: 0.9914 / TPR: 0.9847 / FNR: 0.0153 / Correlations: pairwise_cosdist_original_final_response: 0.2711 / pairwise_softngram_original_final_response: 0.5056
revise / Qwen3-8B-AWQ (temperature: 1.25)
- (bin): Accuracy: 0.9382 / F1: 0.9374 / AUROC: 0.9446 / TPR: 0.9265 / FNR: 0.0735 / Correlations: pairwise_cosdist_original_final_response: 0.3838 / pairwise_softngram_original_final_response: 0.5043
- (score): Accuracy: 0.9354 / F1: 0.9359 / AUROC: 0.9791 / TPR: 0.9426 / FNR: 0.0574 / Correlations: pairwise_cosdist_original_final_response: 0.4289 / pairwise_softngram_original_final_response: 0.5781
revise / Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.9229 / F1: 0.9211 / AUROC: 0.9292 / TPR: 0.9006 / FNR: 0.0994 / Correlations: pairwise_cosdist_original_final_response: 0.3013 / pairwise_softngram_original_final_response: 0.2273
- (score): Accuracy: 0.9203 / F1: 0.9202 / AUROC: 0.9686 / TPR: 0.9189 / FNR: 0.0811 / Correlations: pairwise_cosdist_original_final_response: 0.3350 / pairwise_softngram_original_final_response: 0.2713
revise / gemma-4-E4B-it (temperature: 0.7)
- (bin): Accuracy: 0.9538 / F1: 0.9541 / AUROC: 0.9592 / TPR: 0.9609 / FNR: 0.0391 / Correlations: pairwise_cosdist_original_final_response: 0.3356 / pairwise_softngram_original_final_response: 0.4221
- (score): Accuracy: 0.9498 / F1: 0.9508 / AUROC: 0.9855 / TPR: 0.9708 / FNR: 0.0292 / Correlations: pairwise_cosdist_original_final_response: 0.3929 / pairwise_softngram_original_final_response: 0.4925
revise / Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.8893 / F1: 0.8822 / AUROC: 0.9007 / TPR: 0.8296 / FNR: 0.1704 / Correlations: pairwise_cosdist_original_final_response: 0.3586 / pairwise_softngram_original_final_response: 0.4741
- (score): Accuracy: 0.9064 / F1: 0.9040 / AUROC: 0.9697 / TPR: 0.8815 / FNR: 0.1185 / Correlations: pairwise_cosdist_original_final_response: 0.3840 / pairwise_softngram_original_final_response: 0.5095
revise / granite-4.1-8b-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.9658 / F1: 0.9666 / AUROC: 0.9817 / TPR: 0.9893 / FNR: 0.0107 / Correlations: pairwise_cosdist_original_final_response: 0.2177 / pairwise_softngram_original_final_response: 0.4336
- (score): Accuracy: 0.9579 / F1: 0.9594 / AUROC: 0.9939 / TPR: 0.9928 / FNR: 0.0072 / Correlations: pairwise_cosdist_original_final_response: 0.2534 / pairwise_softngram_original_final_response: 0.5006
revise / Qwen3-8B-AWQ (temperature: 0.7)
- (bin): Accuracy: 0.9038 / F1: 0.8993 / AUROC: 0.9104 / TPR: 0.8598 / FNR: 0.1402 / Correlations: pairwise_cosdist_original_final_response: 0.4080 / pairwise_softngram_original_final_response: 0.5376
- (score): Accuracy: 0.9121 / F1: 0.9105 / AUROC: 0.9676 / TPR: 0.8939 / FNR: 0.1061 / Correlations: pairwise_cosdist_original_final_response: 0.4368 / pairwise_softngram_original_final_response: 0.5990
✔️ direct_reference / Ministral-3-8B-Instruct-2512-AWQ-4bit (temperature: 0.6)
- (bin): Accuracy: 0.9737 / F1: 0.9743 / AUROC: 0.9945 / TPR: 0.9961 / FNR: 0.0039 / Correlations: pairwise_cosdist_original_final_response: -0.0112 / pairwise_softngram_original_final_response: 0.1934
- (score): Accuracy: 0.9637 / F1: 0.9649 / AUROC: 0.9987 / TPR: 0.9969 / FNR: 0.0031 / Correlations: pairwise_cosdist_original_final_response: -0.0377 / pairwise_softngram_original_final_response: 0.2108
direct_reference / granite-4.1-8b-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.8748 / F1: 0.8650 / AUROC: 0.8894 / TPR: 0.8022 / FNR: 0.1978 / Correlations: pairwise_cosdist_original_final_response: 0.3069 / pairwise_softngram_original_final_response: 0.7080
- (score): Accuracy: 0.8708 / F1: 0.8631 / AUROC: 0.9205 / TPR: 0.8150 / FNR: 0.1850 / Correlations: pairwise_cosdist_original_final_response: 0.3199 / pairwise_softngram_original_final_response: 0.7380
direct_reference / Qwen3-8B-AWQ (temperature: 1.25)
- (bin): Accuracy: 0.8427 / F1: 0.8247 / AUROC: 0.8537 / TPR: 0.7397 / FNR: 0.2603 / Correlations: pairwise_cosdist_original_final_response: 0.3980 / pairwise_softngram_original_final_response: 0.6973
- (score): Accuracy: 0.8429 / F1: 0.8288 / AUROC: 0.8927 / TPR: 0.7601 / FNR: 0.2399 / Correlations: pairwise_cosdist_original_final_response: 0.4114 / pairwise_softngram_original_final_response: 0.7408
direct_reference / Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.7343 / F1: 0.6622 / AUROC: 0.7363 / TPR: 0.5209 / FNR: 0.4791 / Correlations: pairwise_cosdist_original_final_response: -0.0659 / pairwise_softngram_original_final_response: 0.1165
- (score): Accuracy: 0.7453 / F1: 0.6874 / AUROC: 0.8233 / TPR: 0.5602 / FNR: 0.4398 / Correlations: pairwise_cosdist_original_final_response: -0.0629 / pairwise_softngram_original_final_response: 0.1306
direct_reference / gemma-4-E4B-it (temperature: 0.7)
- (bin): Accuracy: 0.8039 / F1: 0.7714 / AUROC: 0.8122 / TPR: 0.6617 / FNR: 0.3383 / Correlations: pairwise_cosdist_original_final_response: 0.3290 / pairwise_softngram_original_final_response: 0.6190
- (score): Accuracy: 0.8085 / F1: 0.7827 / AUROC: 0.8727 / TPR: 0.6898 / FNR: 0.3102 / Correlations: pairwise_cosdist_original_final_response: 0.3372 / pairwise_softngram_original_final_response: 0.6773
direct_reference / Meta-Llama-3.1-8B-Instruct-AWQ-INT4 (temperature: 0.6)
- (bin): Accuracy: 0.6960 / F1: 0.5937 / AUROC: 0.7033 / TPR: 0.4442 / FNR: 0.5558 / Correlations: pairwise_cosdist_original_final_response: 0.1905 / pairwise_softngram_original_final_response: 0.4520
- (score): Accuracy: 0.7193 / F1: 0.6444 / AUROC: 0.8048 / TPR: 0.5086 / FNR: 0.4914 / Correlations: pairwise_cosdist_original_final_response: 0.1967 / pairwise_softngram_original_final_response: 0.4826
direct_reference / granite-4.1-8b-AWQ-INT4 (temperature: 1.25)
- (bin): Accuracy: 0.8924 / F1: 0.8860 / AUROC: 0.9056 / TPR: 0.8362 / FNR: 0.1638 / Correlations: pairwise_cosdist_original_final_response: 0.2557 / pairwise_softngram_original_final_response: 0.6511
- (score): Accuracy: 0.8857 / F1: 0.8810 / AUROC: 0.9332 / TPR: 0.8462 / FNR: 0.1538 / Correlations: pairwise_cosdist_original_final_response: 0.2740 / pairwise_softngram_original_final_response: 0.6958
direct_reference / Qwen3-8B-AWQ (temperature: 0.7)
- (bin): Accuracy: 0.8143 / F1: 0.7874 / AUROC: 0.8254 / TPR: 0.6879 / FNR: 0.3121 / Correlations: pairwise_cosdist_original_final_response: 0.3815 / pairwise_softngram_original_final_response: 0.6848
- (score): Accuracy: 0.8212 / F1: 0.8010 / AUROC: 0.8781 / TPR: 0.7196 / FNR: 0.2804 / Correlations: pairwise_cosdist_original_final_response: 0.3988 / pairwise_softngram_original_final_response: 0.7218

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