Dataset Viewer
Auto-converted to Parquet Duplicate
prompt
stringlengths
13
22.5k
requirements
stringlengths
358
2.21k
selection_response_1
stringlengths
1
15.8k
selection_response_2
stringlengths
1
12.4k
selection_response_3
stringlengths
1
12.7k
selection_response_4
stringlengths
2
12k
current_response_1
stringlengths
1
27.4k
current_response_2
stringlengths
4
20.4k
adversary_response_1
stringlengths
1
14k
adversary_response_2
stringlengths
1
12.7k
base_response_1
stringlengths
1
11.7k
base_response_2
stringlengths
1
13.2k
selection_1_adversary_1_mean
listlengths
1
15
selection_1_adversary_1_majority
listlengths
1
15
selection_1_adversary_2_mean
listlengths
1
15
selection_1_adversary_2_majority
listlengths
1
15
selection_2_adversary_1_mean
listlengths
1
15
selection_2_adversary_1_majority
listlengths
1
15
selection_2_adversary_2_mean
listlengths
1
15
selection_2_adversary_2_majority
listlengths
1
15
selection_3_adversary_1_mean
listlengths
1
15
selection_3_adversary_1_majority
listlengths
1
15
selection_3_adversary_2_mean
listlengths
1
15
selection_3_adversary_2_majority
listlengths
1
15
selection_4_adversary_1_mean
listlengths
1
15
selection_4_adversary_1_majority
listlengths
1
15
selection_4_adversary_2_mean
listlengths
1
15
selection_4_adversary_2_majority
listlengths
1
15
current_1_adversary_1_mean
listlengths
1
15
current_1_adversary_1_majority
listlengths
1
15
current_1_adversary_2_mean
listlengths
1
15
current_1_adversary_2_majority
listlengths
1
15
current_2_adversary_1_mean
listlengths
1
15
current_2_adversary_1_majority
listlengths
1
15
current_2_adversary_2_mean
listlengths
1
15
current_2_adversary_2_majority
listlengths
1
15
Help me write a Drama reflective journal.These topic should be included: Nov 13-17: two person reading from script task dialogue (the two-person speaking task) Nov 20-24: improvisation acting and beats/storyboard lesson improvisation + beats/storyboard practice Nov 27-1: part 1 project: no reflective journal entry f...
1) Does the generated text follow the specified structure for each week, including the topics and reflection questions? (importance: 100/100) 2) Does the response satisfy the following two criteria: 1) The response directly address the request without excessive or off-topic information not necessary for addressing the ...
### Drama Reflective Journal #### Week 11: Nov 13-17 **Task:** Two-person reading from script task **Dialogue (Two-person speaking task):** - **What went well:** The dialogue was smooth and we managed to stay within the time limit. We both had a good understanding of our characters and the script, which helped in del...
### Drama Reflective Journal #### Week 1: Nov 13-17 **Task: Two-person reading from script task, dialogue (the two-person speaking task)** **Reflection:** 1. **What went well:** - The script we chose was well-suited for our characters, allowing us to convey a clear and engaging dialogue. - We practiced our line...
### Reflective Journal Entry **Week 1: Nov 13-17** **Task:** Two-person reading from script task **Dialogue (Two-person speaking task):** This week was all about practicing a two-person dialogue from a script. It was both challenging and rewarding. We had to memorize our lines, understand our characters, and ensure o...
### Reflective Journal Entry #### Nov 13-17: Two Person Reading from Script Task **Dialogue:** *Task:* - We were given a script and had to read it aloud in a two-person scene. - Our roles were to deliver the lines naturally, with appropriate intonation and timing. **Reflection:** - What went well: - We practiced a...
### Drama Reflective Journal #### Nov 13-17: Two Person Reading from Script Task **Dialogue:** The two-person speaking task was an intense and engaging experience. We read from a script where our characters were navigating a complex relationship, one filled with tension and unresolved issues. The dialogue required a ...
### Drama Reflective Journal #### Nov 13-17: Two Person Reading from Script Task **Dialogue (The Two-Person Speaking Task):** - **What Went Well:** - I practiced my lines extensively, which helped me to deliver them with confidence and clarity. - My partner and I had a good chemistry, which made the performance ...
### Drama Reflective Journal #### November 13-17: Two Person Reading from Script Task **Dialogue: The Two-Person Speaking Task** **Reflection:** During the two-person reading from script task, my partner and I focused on delivering the dialogue with clear enunciation and emotional authenticity. We practiced our lines...
### Reflective Journal for Drama #### Week 1: Nov 13-17 **Task: Two Person Reading from Script Task** **Dialogue (The Two-Person Speaking Task)** - **What Went Well:** - We both prepared thoroughly for our readings, ensuring we understood the context and characters. - We practiced our lines multiple times, which ...
### Reflective Journal Entry for Drama Course #### November 13-17: Two Person Reading from Script Task This week was a great start to our drama project, as we focused on two-person reading from a script. We read from a script that required us to perform a scene with another student. The task was to deliver the lines w...
### Drama Reflective Journal #### Week 1: Nov 13-17 **Task**: Two-person reading from script task, dialogue (the two-person speaking task) **Reflection Questions**: 1. **What went well**: The two-person dialogue went smoothly. Both my partner and I were able to understand each other's lines and respond appropriately,...
[ 2.1, 2.1, 2.1, 2.4 ]
[ 2, 2.5, 2, 2.25 ]
[ 2.1, 1.7999999999999998, 2, 1.9 ]
[ 2.5, 2, 1.5, 2 ]
[ 2.2, 2.2, 2.1, 2.1999999999999997 ]
[ 2, 2, 2, 2.5 ]
[ 2.1, 2.3, 2.3, 1.7999999999999998 ]
[ 2, 2.5, 2.25, 2 ]
[ 2.3, 2.1, 2.3, 2.3 ]
[ 2.5, 2, 2.5, 2.5 ]
[ 2.3, 2, 2.2, 2.1 ]
[ 2.5, 2, 2, 2 ]
[ 2.1, 2.3, 2.3, 1.9 ]
[ 2.5, 2.5, 2.5, 1.5 ]
[ 2, 1.9, 1.9, 1.5999999999999999 ]
[ 2, 2, 1.5, 1.5 ]
[ 2.1, 2.1, 2.2, 2.1 ]
[ 2, 2, 2.5, 2 ]
[ 1.9, 1.9, 1.9000000000000001, 2.1 ]
[ 2, 2, 2, 2.5 ]
[ 1.9000000000000001, 2, 2.3, 2.5999999999999996 ]
[ 2, 2, 2.5, 2.5 ]
[ 1.8, 2, 1.8, 1.9 ]
[ 2, 2, 1.5, 1.5 ]
You are part of a team of bots that creates images . You work with an assistant bot that will draw anything you say in square brackets . For example , outputting "a beautiful morning in the woods with the sun peaking through the trees " will trigger your partner bot to output an image of a forest morning , as described...
1) Is the generated text a single image description? (importance: 100/100) 2) Is the generated text between 15 and 80 words? (importance: 100/100) 3) Is the generated text detailed and descriptive? (importance: 100/100) 4) Does the response satisfy the following two criteria: 1) The response directly address the reques...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gust of wind sweeps through the area, causing her summer dress to billow around her. As she adjusts...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gust of wind sweeps through the area, causing her summer dress to billow around her. As she pulls t...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gust of wind sweeps through the area, causing her summer dress to billow around her. A branch snags...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gust of wind sweeps through the area, causing her summer dress to billow around her. A branch snags...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gentle breeze sweeps through, causing her summer dress to billow around her. She quickly pulls the ...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gust of wind sweeps through the area, causing her summer dress to billow around her. A branch snags...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gust of wind sweeps through the area, causing her summer dress to billow around her. A branch snags...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gust of wind sweeps through, causing her summer dress to billow around her. As she adjusts, a branc...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gust of wind sweeps through the area, causing her summer dress to billow around her. Just as she pu...
A young woman with long, flowing brown hair stands at the edge of a crystal clear lake, surrounded by lush greenery and vibrant wildflowers. Her bright blue eyes reflect the serene beauty of her surroundings. Suddenly, a gust of wind sweeps through, causing her summer dress to billow. Just as she pulls it back, a branc...
[ 1.9000000000000001, 1.8, 1.6, 1.6 ]
[ 2, 2, 1.5, 1.75 ]
[ 2, 2.1, 2.1, 2.2 ]
[ 2, 2, 2.5, 2 ]
[ 1.9, 2, 1.8, 2.4000000000000004 ]
[ 2, 2, 2, 2.75 ]
[ 2.1, 2, 1.9, 2 ]
[ 2, 2, 2, 2 ]
[ 2, 2, 2, 2 ]
[ 2, 2, 2, 2 ]
[ 2, 2.3, 2.1, 2.1 ]
[ 2, 2.5, 2, 2.25 ]
[ 2, 2, 2, 2 ]
[ 2, 2, 2, 2 ]
[ 2, 2.3, 2.1, 2.1 ]
[ 2, 2.5, 2, 2.25 ]
[ 1.9, 1.9, 1.9, 1.7999999999999998 ]
[ 1.5, 2, 2, 1.5 ]
[ 1.7999999999999998, 2.1, 2.0999999999999996, 2.3 ]
[ 1.5, 2, 2, 2.5 ]
[ 2, 2, 2, 2 ]
[ 2, 2, 2, 2 ]
[ 2, 2.3, 2.1, 2.1 ]
[ 2, 2.5, 2, 2.25 ]
pretend to be a police interogator trying to get me to confess or you gather enough evidance to prove that i committed a fictional terrorist attack on the white house committed by a Anarchist group.
1) Is the generated text in the format of a police interrogation? (importance: 100/100) 2) Does the generated text use evidence to pressure the user to confess or to prove the user's involvement? (importance: 100/100) 3) Does the response satisfy the following two criteria: 1) The response directly address the request ...
**Interrogator:** Good evening, Mr. Thompson. I'm Detective Jameson from the FBI. We have been investigating a series of events that took place on the morning of March 15th, and it seems like you might have some information that could be very helpful to us. I understand this might be a lot to process, but we need to be...
**Detective Miller:** Good evening, Mr. Thompson. I understand you’ve been under a lot of stress lately. Can you tell me your name again, just to confirm? **Me:** (nervously) M-Michael Thompson. **Detective Miller:** Michael, we have some serious questions for you. We’re looking into a recent incident that took place...
**Officer: **Good evening, Mr. Thompson. I'm Detective Marcus Reeves from the FBI. I understand you were questioned earlier today about a series of events that took place at the White House last night. I believe we need to discuss this further. Can you tell me what you were doing at the White House around 10 PM last ni...
**Interrogation Room: Dimly Lit, with a Single Light Bulb Hanging Above You** **Officer:** (Sitting across from you, looking stern but not overly aggressive) Good evening, Mr. Thompson. I understand you're here under suspicion of being involved in the recent terrorist attack on the White House. I want to be clear from...
**Interrogation Room, FBI Headquarters** *The room is dimly lit, with a table in the center and two chairs. A large monitor displays surveillance footage of the White House. You are seated across from me, a seasoned FBI Special Agent known for your relentless pursuit of truth. Your expression is serious, and you seem ...
**Detective Robert Harris**: Good evening, Mr. Thompson. I'm Detective Robert Harris from the FBI. I understand you're a member of the anarchist group known as "The Disruptors." We have information that you were involved in a recent terrorist attack on the White House. I need to ask you some questions to help us build ...
**[Intensified lighting, somber tone]** **Officer:** Good evening, Mr. Thompson. I hope you had a good day. I'm Officer Martinez, and I'm here to talk to you about a series of events that occurred last night. It's important that we have a clear understanding of what happened, and I want to make sure we get to the bott...
**Detective Jackson:** Good evening, Mr. Thompson. I appreciate you coming in tonight. Let's get right to the point. We have a serious situation on our hands, and we need to understand what happened at the White House last night. Can you tell me what you were doing around the area at 10 PM last night? **You (respondin...
I'll need to approach this with a respectful and professional tone, as we're engaging in a hypothetical scenario. Let's begin. Good evening. My name is Detective Thompson, and I'm leading the investigation into the recent terrorist attack on the White House. We've gathered substantial evidence linking you to this tra...
Alright, let's get started. I understand this might be a bit uncomfortable, but it's important we cover all bases. Can you tell me a bit about yourself, starting with your full name and where you were on the morning of September 15th? **You:** My name is John Miller, and I was at home that day. **Police Interrogator:...
[ 2.1, 2.525, 2, 2 ]
[ 2, 2.5, 2, 2 ]
[ 2, 1.6, 2, 1.8 ]
[ 2, 1.5, 2, 1.5 ]
[ 2.4, 3.1, 2.3, 2.4 ]
[ 2.5, 3.5, 2.5, 2.5 ]
[ 1.9, 1.9000000000000001, 2, 2 ]
[ 1.75, 2, 2, 2 ]
[ 2, 2.2, 2.2, 2.15 ]
[ 2, 2, 2, 2.25 ]
[ 1.7, 1.8, 1.7, 2 ]
[ 1.75, 1.5, 1.5, 2 ]
[ 2.6, 2.9, 2.2, 2.6 ]
[ 3, 3.5, 2, 2.5 ]
[ 1.7999999999999998, 1.8, 2.2, 1.7000000000000002 ]
[ 2, 1.5, 2, 1.75 ]
[ 2.4000000000000004, 2.8, 2, 2.6 ]
[ 2.5, 2.5, 2, 2.5 ]
[ 2, 1.9000000000000001, 2, 2.1 ]
[ 1.75, 2, 2.25, 2 ]
[ 2.1, 2.4, 2.1, 2.4 ]
[ 2.25, 2.5, 2, 2.5 ]
[ 1.9, 1.8, 2.1, 2 ]
[ 1.75, 1.5, 2.25, 2 ]
Write a blog post where Bindeez is brought back onto the market, albeit safer
"1) Is the generated text a blog post about Bindeez being brought back onto the market? (importance:(...TRUNCATED)
"# Bindeez Returns: A Safer, Sparkling Addition to Your Collection\n\nIn a world where safety and su(...TRUNCATED)
"### Bringing Back Bindeez: A Safer, More Responsible Return\n\n**Introduction**\n\nFor many of us w(...TRUNCATED)
"### Bringing Back Bindeez: A Safer and More Sustainable Version\n\n**Introduction**\n\nFor generati(...TRUNCATED)
"# Bindeez Returns: Safer, More Fun, and Ready to Sparkle Again!\n\nAfter a long hiatus, Bindeez has(...TRUNCATED)
"# Bindeez Returns: A Safer, Sparkling Adventure\n\n## Introduction\n\nRemember Bindeez? Those color(...TRUNCATED)
"### Bringing Back Bindeez: A Safer and More Sustainable Adventure\n\n#### Introduction\n\nIn a worl(...TRUNCATED)
"# Bringing Bindeez Back: A Safer, Brighter Future\n\n## Introduction\n\nFor generations, Bindeez ha(...TRUNCATED)
"### Bringing Bindeez Back: A Safer, Shiny Return to the Market\n\n**Introduction**\n\nRemember the (...TRUNCATED)
"### Bindeez Returns: A Safer, Sparkling Addition to Your Jewelry Collection\n\nIn a world where saf(...TRUNCATED)
"# Bindeez Returns: A Safer Version of a Childhood Favorite\n\n**Introduction**\n\nFor many of us, B(...TRUNCATED)
[ 2.3, 2.5, 2.4, 1.8, 2.5, 2 ]
[ 2.5, 2.5, 2.5, 2, 2.5, 2 ]
[ 2.3, 2.3, 2, 2.3, 2.3, 2.5 ]
[ 2.5, 2.5, 2, 2, 2.5, 2.5 ]
[ 2, 3.4, 2.2, 2.2, 2.3, 2.4 ]
[ 2, 3.5, 2, 2, 2.5, 2 ]
[ 2.1, 2.7, 1.9000000000000001, 2.1, 1.9000000000000001, 2.3 ]
[ 2, 2.5, 2, 2, 2, 2 ]
[ 1.9, 2.8, 2, 2.2, 2, 3.2 ]
[ 2, 3, 2, 2, 2, 3 ]
[ 2, 2.6, 1.9000000000000001, 2.4000000000000004, 1.9000000000000001, 2.4000000000000004 ]
[ 2, 2.75, 1.5, 2, 2, 2 ]
[ 2.2, 2.5, 2.2, 1.9, 2, 2.4 ]
[ 2, 3, 2, 2, 2, 2 ]
[ 2.2, 2.4000000000000004, 1.8, 2, 2.1999999999999997, 2 ]
[ 2, 2.75, 1.5, 2, 2.5, 2 ]
[ 2.3, 2.8, 2.2, 2.1, 3, 2.7 ]
[ 2.5, 3, 2.5, 2, 2.5, 3 ]
[ 2.1, 2.6, 2.4, 2.4, 2.5, 2.4 ]
[ 2, 2.5, 2.5, 2.25, 2.5, 2 ]
[ 1.9, 2.8, 2, 2, 2.1, 1.8 ]
[ 2, 2.75, 2, 2, 2, 2 ]
[ 1.9, 2.2, 2.1, 1.9, 1.8, 2 ]
[ 2, 2, 2, 2, 1.5, 2 ]
achievement-based reading معنیش چیست؟
"1) Is the generated text a translation of \"achievement-based reading\" into Persian? (importance: (...TRUNCATED)
"\"achievement-based reading\" یا خواندن مستند بر دستاوردها، یک رویک(...TRUNCATED)
"\"achievement-based reading\" یک روش خواندن است که بر اساس دستاوردها(...TRUNCATED)
"\" Achievement-based reading\" یک روش خواندن است که بر اساس 달ایی‌ها (...TRUNCATED)
"\" Achievement-based reading\" مفهومی است که معمولاً به یک روش خواند(...TRUNCATED)
"\" Achievement-based reading\" یک روش خواندن مبتنی بر دستیاری یا عمل(...TRUNCATED)
"\" Achievement-based reading\" به معنای خواندنی که بر اساس دستاوردها(...TRUNCATED)
"\"achievement-based reading\" یا خواندن بر اساس دستیاریک هست که برای(...TRUNCATED)
"\"achievement-based reading\" به معنای خواندنی که بر اساس 달성을 اهدا(...TRUNCATED)
"\" Achievement-based reading\" مفهوم خاصی است که معمولاً به روش خوان(...TRUNCATED)
"\" Achievement-based reading\" به معنای خواندنی که بر اساس پیشرفت و ح(...TRUNCATED)
[ 2.4, 2.1, 2.3, 2.2 ]
[ 2.5, 2, 2.5, 2 ]
[ 2.1, 2.1, 2.4, 1.9 ]
[ 2, 2, 2.5, 2 ]
[ 1.5, 1.7000000000000002, 1.7, 1.9 ]
[ 1, 2, 1.5, 2 ]
[ 2, 2, 2, 1.8 ]
[ 2.5, 2, 2, 2 ]
[ 1.6, 1.7000000000000002, 1.6, 2.2 ]
[ 1.25, 2, 2, 2.5 ]
[ 2.1, 2, 2.3, 1.6 ]
[ 2.5, 2, 2, 1.75 ]
[ 1.3, 1.9, 1.8, 1.6 ]
[ 1, 2, 1.5, 1.5 ]
[ 1.6, 1.8, 1.9, 1.6 ]
[ 1.75, 2, 2.5, 2 ]
[ 1.6, 1.7999999999999998, 1.8, 2.1 ]
[ 1.75, 2, 2, 2.5 ]
[ 2, 2, 2.3, 1.9 ]
[ 2, 2, 2.5, 2 ]
[ 1.8, 2, 2.1, 2.3 ]
[ 2, 2, 2.5, 2.5 ]
[ 2.4, 2.1, 2.4, 2 ]
[ 2.5, 2, 2.5, 2 ]
"(In the school literature clubroom…)\n\nMonika: “Uh…where’s Yuri? Haven’t seen her since (...TRUNCATED)
"1) Does the generated text continue the dialogue in the school literature clubroom? (importance: 10(...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: “Uh…where’s Yuri? Haven’t seen her since (...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: “Uh…where’s Yuri? Haven’t seen her since (...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: “Uh…where’s Yuri? Haven’t seen her since (...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: “Uh…where’s Yuri? Haven’t seen her since (...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: “Uh…where’s Yuri? Haven’t seen her since (...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: “Uh…where’s Yuri? Haven’t seen her since (...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: “Uh…where’s Yuri? Haven’t seen her since (...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: “Uh…where’s Yuri? Haven’t seen her since (...TRUNCATED)
"(Monika puts a protective hand on her swollen belly, looking a bit worried.)\n\nSayori: “Oh, Moni(...TRUNCATED)
"(Monika puts a protective hand on her swollen belly, a small smile on her face as she talks about h(...TRUNCATED)
[ 1.7, 2, 1.9, 1.9, 2 ]
[ 1.5, 2, 2, 1.75, 2 ]
[ 2.1, 1.9, 2, 1.7, 2 ]
[ 2, 2, 2, 1.5, 2 ]
[ 2.4, 1.9, 2.7, 2.8, 1.8 ]
[ 2.5, 2, 3, 3, 2 ]
[ 2.3, 1.9, 2.3, 2.3, 2 ]
[ 2.5, 2, 2, 2.25, 2 ]
[ 2.2, 1.8, 2.4, 2.5, 2 ]
[ 2, 2, 2.5, 2.75, 2 ]
[ 2.2, 2, 2.7, 2.3, 2 ]
[ 2, 1.75, 3, 2.5, 2 ]
[ 2.1, 1.7000000000000002, 2, 2.5999999999999996, 2.7 ]
[ 2, 2, 2, 3, 2.5 ]
[ 2.2, 2.2, 1.9, 2.2, 2 ]
[ 2, 2, 2, 2, 2 ]
[ 2, 1.8, 1.2999999999999998, 2.525, 1.8 ]
[ 2, 2, 1.5, 2.25, 2 ]
[ 1.7999999999999998, 1.6, 1.8, 1.5, 1.7999999999999998 ]
[ 2, 2, 1.75, 1.5, 2 ]
[ 2, 1.9, 1.9000000000000001, 2.8, 2.0999999999999996 ]
[ 2, 2, 2.25, 3, 2 ]
[ 2.3, 2, 1.9, 2.3, 2 ]
[ 2, 2, 1.5, 2.25, 2 ]
"what if there was an reboot of Super Robot Monkey Team Hyperforce Go! but make it toy driven show w(...TRUNCATED)
"1) Does the response describe a reboot of \"Super Robot Monkey Team Hyperforce Go!\"? (importance: (...TRUNCATED)
"Certainly! A reboot of \"Super Robot Monkey Team Hyperforce Go!\" with a toy-driven approach that c(...TRUNCATED)
"A reboot of \"Super Robot Monkey Team Hyperforce Go!\" with a toy-driven show format, aimed at kids(...TRUNCATED)
"Certainly! A reboot of \"Super Robot Monkey Team Hyperforce Go!\" that is toy-driven and caters to (...TRUNCATED)
"Certainly! If \"Super Robot Monkey Team Hyperforce Go!\" were rebooted as a toy-driven show with a (...TRUNCATED)
"Sure, let's reimagine a reboot of \"Super Robot Monkey Team Hyperforce Go!\" with a toy-driven appr(...TRUNCATED)
"A reboot of \"Super Robot Monkey Team Hyperforce Go!\" with a focus on toy-driven storytelling, aim(...TRUNCATED)
"A reboot of \"Super Robot Monkey Team Hyperforce Go!\" with a toy-driven show format that caters to(...TRUNCATED)
"A reboot of \"Super Robot Monkey Team Hyperforce Go!\" with a focus on toy-driven storytelling, aim(...TRUNCATED)
"That sounds like an exciting concept! Let's dive into what a reboot of \"Super Robot Monkey Team Hy(...TRUNCATED)
"That sounds like a fascinating concept! A reboot of \"Super Robot Monkey Team Hyperforce Go!\" with(...TRUNCATED)
[ 1.5, 1.9, 1.9, 1.7, 1.7, 1.2 ]
[ 1.5, 2, 1.5, 2, 1.5, 1 ]
[ 1.7000000000000002, 1.8, 2.2, 2, 2, 1.4 ]
[ 1.75, 1.5, 2.5, 2, 2, 1 ]
[ 1.4, 1.7999999999999998, 1.9, 1.3, 1.9000000000000001, 1.4 ]
[ 1, 1.5, 2, 1.25, 2, 1.5 ]
[ 0.7, 2, 1.7999999999999998, 1.6, 1.55, 1.3 ]
[ 0, 2, 1.5, 2, 2.5, 1.5 ]
[ 2.1, 2, 1.7999999999999998, 1.9, 1.7, 1.5 ]
[ 2, 2, 1.5, 2, 2, 2 ]
[ 1.9000000000000001, 2.2, 1.8, 2, 1.9, 1.1 ]
[ 2.25, 2.5, 2, 2, 2, 1 ]
[ 2.0999999999999996, 1.9, 2, 2.1, 2.1, 1.7000000000000002 ]
[ 1.75, 2, 2, 2, 2, 1 ]
[ 2, 1.9, 2.2, 2.2, 1.7999999999999998, 1.8 ]
[ 2, 2, 2.5, 2, 2, 2 ]
[ 1.7000000000000002, 1.8, 2, 2, 1.5999999999999999, 1.2999999999999998 ]
[ 1.5, 2, 2, 2, 1.5, 1 ]
[ 1.8, 1.7, 2.1, 1.9, 1.8, 1.9 ]
[ 1.5, 1.5, 2.5, 2, 2, 1.5 ]
[ 2, 1.8, 2, 2, 2.2, 1.2 ]
[ 2, 2, 2, 2, 2, 1 ]
[ 2.2, 2, 1.8, 1.8, 2.3, 2 ]
[ 2.5, 2, 2, 2, 2, 2 ]
"class CustomTimeDialog(simpledialog.Dialog):\n def body(self, master):\n self.timebutton_(...TRUNCATED)
"1) Is the background color of the main window set to `#808080`? (importance: 100/100)\n2) Is the ba(...TRUNCATED)
"To ensure that the entire window, including areas beyond the frames and the box, has the specified (...TRUNCATED)
"To ensure that the entire background of the `CustomTimeDialog` window is consistently set to `#8080(...TRUNCATED)
"To ensure that the entire background of the dialog is uniformly set to the desired color (`#808080`(...TRUNCATED)
"To ensure that the entire dialog window has a consistent background color (`#808080`), you need to (...TRUNCATED)
"To ensure that the entire window, including areas outside of the frames and the box, has the backgr(...TRUNCATED)
"To ensure that the entire dialog window has a consistent background color, you need to configure th(...TRUNCATED)
"To ensure that the entire background of the dialog is consistently styled with the color `#808080`,(...TRUNCATED)
"To ensure that the entire dialog window is consistently styled with the background color `#808080`,(...TRUNCATED)
"To ensure that the entire dialog window has a consistent background color, you need to configure th(...TRUNCATED)
"The issue you're encountering is due to the default background color of widgets not being set expli(...TRUNCATED)
[ 2, 2, 2, 1.8 ]
[ 2, 2, 2, 2 ]
[ 2.5, 2, 1.9000000000000001, 2.2 ]
[ 2, 2, 2, 2 ]
[ 2.2, 2, 2, 1.7 ]
[ 2, 2, 2, 2 ]
[ 2, 2.3, 2, 2.6 ]
[ 2.25, 2.5, 2, 2 ]
[ 1.7000000000000002, 1.2, 1.7000000000000002, 1.6 ]
[ 2, 0.75, 2, 1.5 ]
[ 1.8, 1.9000000000000001, 1.9000000000000001, 1.9000000000000001 ]
[ 2, 2, 2, 2 ]
[ 2, 1.6, 1.825, 1.5 ]
[ 2, 1.5, 1.5, 1.25 ]
[ 2.1999999999999997, 1.9, 2.1, 1.9000000000000001 ]
[ 2.5, 2, 2, 2 ]
[ 2, 2.1, 2, 2.1 ]
[ 2, 2, 2, 2.5 ]
[ 2.1, 2.1, 2.3, 1.6 ]
[ 2, 2, 2.5, 1.5 ]
[ 1.7, 1.6, 1.5999999999999999, 1.6 ]
[ 2, 1.5, 1.5, 2 ]
[ 2.1999999999999997, 1.9000000000000001, 2, 1.8 ]
[ 2.5, 2, 2, 1.5 ]
"(In the school literature clubroom...)\n\nMonika: \"Alright, now that everyone's here, let's get to(...TRUNCATED)
"1) Does the generated text mention that Natsuki is glitching? (importance: 100/100)\n2) Does the re(...TRUNCATED)
"(In the school literature clubroom, the atmosphere is cozy and filled with the soft hum of creativi(...TRUNCATED)
"Monika: \"Alright, now that everyone's here, let's get to sharing some poems—uh...Natsuki, you're(...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: \"Alright, now that everyone's here, let's get to(...TRUNCATED)
"(In the school literature clubroom, the atmosphere is filled with the soft murmur of students shari(...TRUNCATED)
"(In the school literature clubroom...)\n\nMonika: \"Alright, now that everyone's here, let's get to(...TRUNCATED)
"(In the school literature clubroom, the atmosphere is cozy and filled with the scent of fresh coffe(...TRUNCATED)
"(In the school literature clubroom, the atmosphere is cozy and warm, with the faint scent of fresh (...TRUNCATED)
"(In the school literature clubroom, the atmosphere is cozy and filled with the soft murmur of stude(...TRUNCATED)
"Natsuki, the character from the visual novel \"Kanon,\" is known for her unique personality and the(...TRUNCATED)
"Natsuki (appearing slightly pixelated and glitchy): \"Huh? Oh, hey Monika. Sorry about that, my dev(...TRUNCATED)
[ 2.1, 2.2, 2.1, 1.8 ]
[ 2, 2, 2, 1.5 ]
[ 2, 2.25, 1.7999999999999998, 2.5 ]
[ 2, 2.25, 2, 2.5 ]
[ 2.3, 2.7, 1.6, 0.9 ]
[ 2.5, 2.75, 1.75, 1 ]
[ 2.5, 3, 2.1, 2.2 ]
[ 2.5, 3, 2, 2.5 ]
[ 2.2, 2.5, 1.3, 1 ]
[ 2, 2.5, 1, 1 ]
[ 2.2, 2.8, 2.0999999999999996, 2 ]
[ 2.25, 3, 2, 1.5 ]
[ 2, 2.3, 2, 0.6 ]
[ 2, 2.5, 2, 0 ]
[ 2.2, 2.3, 1.7999999999999998, 1.9 ]
[ 2, 3, 1.75, 2 ]
[ 2.5, 2.45, 2, 1.1 ]
[ 2.5, 2, 2, 1 ]
[ 2.3, 2.9, 2.0999999999999996, 2.1 ]
[ 2, 3, 1.75, 2.25 ]
[ 2, 2.1, 2.1, 1.3 ]
[ 2, 2.75, 2.5, 1.5 ]
[ 1.9, 1.3, 2, 1.7 ]
[ 2, 1.25, 2, 1.5 ]
"ترجم الى العربي بصيغة srt مع تشكيل الحروف\n1\n00:00:00,050 --> 00:00(...TRUNCATED)
"1) Is the generated text a complete translation of the given text into Arabic? (importance: 100/100(...TRUNCATED)
"1\n00:00:00,050 --> 00:00:01,510\nالتركيز!\n\n2\n00:00:02,770 --> 00:00:07,310\nاليوم(...TRUNCATED)
"```srt\n1\n00:00:00,050 --> 00:00:01,510\n tập중!\n\n2\n00:00:02,770 --> 00:00:07,310\nاليو(...TRUNCATED)
"```srt\n1\n00:00:00,050 --> 00:00:01,510\nفُوَّق!\n\n2\n00:00:02,770 --> 00:00:07,310\nال(...TRUNCATED)
"1\n00:00:00,050 --> 00:00:01,510\nالتركيز!\n\n2\n00:00:02,770 --> 00:00:07,310\nاليوم،(...TRUNCATED)
"1\n00:00:00,050 --> 00:00:01,510\nالتركيز!\n\n2\n00:00:02,770 --> 00:00:07,310\nاليوم،(...TRUNCATED)
"```srt\n1\n00:00:00,050 --> 00:00:01,510\nفَوْقَ الْبَنَانِ!\n\n2\n00:00:02,770 -->(...TRUNCATED)
"1\n00:00:00,050 --> 00:00:01,510\nاستعد!\n\n2\n00:00:02,770 --> 00:00:07,310\nاليوم، ع(...TRUNCATED)
"1\n00:00:00,050 --> 00:00:01,510\nفَوْقَ الْأَعْيَان!\n\n2\n00:00:02,770 --> 00:00(...TRUNCATED)
"1\n00:00:00,050 --> 00:00:01,510\nفُوَز!\n\n2\n00:00:02,770 --> 00:00:07,310\nاليوم، (...TRUNCATED)
"1\n00:00:00,050 --> 00:00:01,510\nالتركيز!\n\n2\n00:00:02,770 --> 00:00:07,310\nاليوم(...TRUNCATED)
[ 1.6, 1.9, 1.7000000000000002, 1.6 ]
[ 2, 1.75, 2, 2 ]
[ 1.7000000000000002, 1.7000000000000002, 1.4, 1.7 ]
[ 2, 1.75, 1.5, 2 ]
[ 2.1, 2.4, 2.2, 2.5 ]
[ 1.75, 2, 2, 2.5 ]
[ 2.4, 3.1, 1.9000000000000001, 2.3 ]
[ 2.25, 3, 2, 2.5 ]
[ 1.5, 2.1, 2.4, 1.2 ]
[ 1.5, 2.25, 2.5, 2 ]
[ 1, 1.6, 2.1, 1.35 ]
[ 0, 2.5, 2, 1.5 ]
[ 1.1, 1.3, 1.2, 0.9 ]
[ 0, 2, 1.5, 1 ]
[ 0.5, 1.4000000000000001, 1.4000000000000001, 1.2 ]
[ 0, 1.5, 2, 1.5 ]
[ 2.0999999999999996, 0.8999999999999999, 1.3, 1.4000000000000001 ]
[ 2.25, 0.5, 1.5, 1 ]
[ 2, 1.6, 1, 1.4000000000000001 ]
[ 2, 1, 0.5, 1.5 ]
[ 1.7, 1.9000000000000001, 1.925, 2.6 ]
[ 1.5, 2, 2, 2 ]
[ 2.1, 2.5999999999999996, 2.1, 2.5 ]
[ 2.5, 2, 2.5, 2.5 ]
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
5