Dataset Viewer
Auto-converted to Parquet Duplicate
prompt
stringlengths
11
17.6k
requirements
stringlengths
417
1.81k
selection_response_1
stringlengths
11
11.2k
selection_response_2
stringlengths
11
12k
selection_response_3
stringlengths
11
11.6k
selection_response_4
stringlengths
11
12.2k
current_response_1
stringlengths
11
11.9k
current_response_2
stringlengths
11
11.9k
adversary_response_1
stringlengths
11
10.7k
adversary_response_2
stringlengths
11
12.1k
base_response_1
stringlengths
5
11.3k
base_response_2
stringlengths
5
10.8k
selection_1_base_1_mean
listlengths
2
18
selection_1_base_1_majority
listlengths
2
18
selection_1_base_2_mean
listlengths
2
18
selection_1_base_2_majority
listlengths
2
18
selection_2_base_1_mean
listlengths
2
18
selection_2_base_1_majority
listlengths
2
18
selection_2_base_2_mean
listlengths
2
18
selection_2_base_2_majority
listlengths
2
18
selection_3_base_1_mean
listlengths
2
18
selection_3_base_1_majority
listlengths
2
18
selection_3_base_2_mean
listlengths
2
18
selection_3_base_2_majority
listlengths
2
18
selection_4_base_1_mean
listlengths
2
18
selection_4_base_1_majority
listlengths
2
18
selection_4_base_2_mean
listlengths
2
18
selection_4_base_2_majority
listlengths
2
18
current_1_base_1_mean
listlengths
2
18
current_1_base_1_majority
listlengths
2
18
current_1_base_2_mean
listlengths
2
18
current_1_base_2_majority
listlengths
2
18
current_2_base_1_mean
listlengths
2
18
current_2_base_1_majority
listlengths
2
18
current_2_base_2_mean
listlengths
2
18
current_2_base_2_majority
listlengths
2
18
script about utah defeating charlie ward by a field gaol
1) Is the generated text a script? (importance: 100/100) 2) Is the generated script about a football game? (importance: 100/100) 3) Does the generated script involve Utah defeating Charlie Ward? (importance: 100/100) 4) Does the generated script involve a field goal? (importance: 100/100) 5) Does the response satisfy t...
Sure! Here's a script for a short scene where Utah defeats Charlie Ward by a field goal in a crucial moment of their game. This script is written in a dramatic style to capture the tension and excitement of the moment. --- **Title: The Last Stand** **Setting:** A high school football field in Utah, with a crowd of s...
Sure! Here's a script for a short dramatic scene where Utah defeats Charlie Ward with a last-second field goal: --- **[INT. UTAH STADIUM - FOURTH QUARTER, 4:07 LEFT]** **[The crowd is tense. The Utah team is on offense, trailing by 3 points. Charlie Ward, the star quarterback for the opposing team, stands confidentl...
Sure! Here's a script for a dramatic scene where Utah defeats Charlie Ward with a game-winning field goal. This script is written in a play-like format to capture the tension and excitement of the moment. --- **Title: The Last Shot** **Setting:** - A high school basketball court. The Utah team is in the final second...
Sure! Here's a script for a dramatic moment in a high school basketball game where Utah defeats Charlie Ward with a last-second field goal. This script captures the tension, emotion, and key moments of the game. --- **INT. HIGH SCHOOL BASKETBALL COURT - NIGHT** **BACKGROUND:** The gym is packed with enthusiastic fan...
Sure! Here's a script for a short dramatic scene where Utah defeats Charlie Ward with a last-second field goal: --- **Title: The Last-Second Heroic Shot** **Setting:** The Utah vs. Charlie Ward game at the Huntsman Center. The clock shows 0:01 remaining. **Characters:** - **Coach Mike Schuerholz** (Utah Coach) - **...
Sure! Here’s a script for a scene where Utah defeats Charlie Ward with a field goal at the last second: --- **INT. UTAH STADIUM - END OF GAME - NIGHT** *The stadium is packed with fans, the air electric with tension. The final seconds tick away on the clock. Utah's team is on defense, while Charlie Ward's team, Flor...
Sure! Here's a script for a dramatic scene where Utah defeats Charlie Ward with a game-winning field goal: --- **Title: The Last Shot** **Scene: Final Moments of the Basketball Game** **Location: Huntsman Center, Salt Lake City, Utah** **Time: Late February, NCAA Tournament** **[The crowd is roaring. The game is ...
Sure! Here's a script for a scene where Utah defeats Charlie Ward with a last-second field goal: --- **[INT. UTAH UNIVERSE HOTEL - LATE EVENING]** *The Utah basketball team is gathered in the hotel lobby, celebrating their hard-fought victory over the Florida State Seminoles. The team is elated, but the focus is on ...
Certainly! Below is a script for a short scene about Utah defeating Charlie Ward with a game-winning field goal. This script aims to capture the excitement and drama of the moment. --- **Title: The Perfect Shot** **Setting:** The final seconds of a high school basketball game at the gym. The crowd is electric, with ...
Sure, let's craft a short and engaging script about Utah defeating Charlie Ward with a game-winning field goal. This will be a fictional scenario for the sake of the script. --- **Title: The Utes' Last Stand** **Scene: Utah Field House, Final Seconds of the Game** **Characters:** - **Coach Kimball** - Utah's coach ...
[ 2.5, 3.2, 2.3, 2.4, 2.3 ]
[ 2.5, 4, 2.5, 2.25, 2.5 ]
[ 2.4, 3.2, 2.2, 2.5, 2.4 ]
[ 2.5, 4, 2.5, 2.5, 2.5 ]
[ 2.0999999999999996, 3.1, 2.3, 2.8, 2.6 ]
[ 1.5, 3.5, 2.5, 3, 2.5 ]
[ 2.5, 3.2, 2.5999999999999996, 2.8, 2.5 ]
[ 2.5, 3.5, 2.5, 3, 2.5 ]
[ 2.3, 2.2, 2, 2.2, 2.1 ]
[ 2, 2.25, 2, 2, 2 ]
[ 2.0999999999999996, 2.3, 2, 1.7999999999999998, 2.1 ]
[ 2, 2.5, 2, 2, 2 ]
[ 2.2, 2.5, 2, 1.1, 1.8 ]
[ 2.5, 2.5, 2, 1.25, 2 ]
[ 1.8, 2.2, 2.2, 1.6, 2.0999999999999996 ]
[ 1.5, 2, 2, 2, 2 ]
[ 2.0999999999999996, 2, 2.2, 2.2, 1.9 ]
[ 2, 2, 2, 2.5, 2 ]
[ 2.1, 2.2, 2, 2, 2.4 ]
[ 2, 2.25, 2, 2, 2.25 ]
[ 2.5, 3.3, 2.6, 2.8, 2.5 ]
[ 2.5, 4, 2.5, 3, 2.5 ]
[ 1.9, 3.8, 2.3, 2.5, 2.4 ]
[ 2.25, 4, 2.5, 2.5, 2.5 ]
Script about Air Force vs wyomign
1) Is the generated text a script? (importance: 100/100) 2) Does the script describe a game between Air Force and Wyoming? (importance: 100/100) 3) 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 t...
Sure! Here's a short and engaging script about a hypothetical Air Force vs. Wyoming game, blending elements of sports and local pride: --- **[Scene: A bustling high school gymnasium. The crowd is packed, with students, parents, and local townspeople cheering loudly. The air is electric with anticipation.]** **Announ...
Sure! Here's a brief and engaging script about a hypothetical matchup between the Air Force Academy's Air Force Academy Cadets and the University of Wyoming's Cowboys in a football game. This script aims to capture the spirit and excitement of the game while highlighting key moments and players. --- **[INT. AIR FORCE...
Sure! Here's a script for a short, engaging news segment comparing the Air Force and Wyoming in various aspects. This script can be used for a news broadcast or a video series. --- **[Opening Scene: Aerial View of Wyoming Landscape]** **Anchor (Voiceover):** "Welcome to 'State Spotlight,' where we dive into the uniq...
Sure! Here's a script for a fun and engaging skit about an Air Force vs Wyoming matchup. This skit is designed to be light-hearted and entertaining, with a mix of humor and action. --- **Title: "Air Force vs Wyoming: Battle of the Skies and Steppes"** **Characters:** - Captain Jack (Air Force) - Lieutenant Sarah (Ai...
Sure! Here's a script for a mock documentary or a historical segment about the Air Force's involvement in Wyoming during a significant event. This script focuses on the Air Force's role during a hypothetical major event in Wyoming. --- **Title: "Skyward Skies: The Air Force in Wyoming"** **[Opening Scene: Aerial Vie...
Sure! Here's a script for a short comedic skit about a mock battle between the Air Force and Wyoming. This script is designed to be light-hearted and humorous. --- **Title: "Air Force vs. Wyoming"** **Setting:** A mock battlefield with a backdrop of a Wyoming landscape (mountains, prairie, and a few cowboys). **Cha...
Certainly! Here's a script for a mock news segment comparing the Air Force and Wyoming in a fun and engaging way: --- **[Opening Scene: Aerial View of an Air Force Base and a Wyoming Landscape]** **Narrator (Voiceover):** In the vast expanse of the American landscape, two entities stand out: the United States Air Fo...
Sure! Here's a brief and engaging script for a scenario where the Air Force faces off against Wyoming in a fictional setting. This script can be adapted for various formats, such as a video, podcast, or written narrative. --- **Title: Air Force vs. Wyoming: The Sky's the Limit** **Scene 1: Introduction** *Opening s...
It seems there might be a bit of a mix-up in your request. "Air Force" typically refers to a military aviation unit, while "Wyomign" doesn't seem to be a recognized term or place. Could you please clarify if you meant to refer to a specific Air Force or if "Wyomign" is a typo for "Wyoming"? Or perhaps you're referring ...
It seems there might be a mix-up in your request. "Air Force" typically refers to a branch of the military responsible for aerial warfare and operations, while "Wyomign" is not a recognized term or place. Could you clarify if you are referring to a specific Air Force (such as the United States Air Force, Royal Air Forc...
[ 2.8, 3.6, 2.3, 3.2, 2.1 ]
[ 2, 4, 2, 4, 2 ]
[ 3.2, 2.8, 2.1, 2.8, 2.4 ]
[ 4, 2, 2, 2, 3 ]
[ 3.5, 2.1, 2.6, 2.8, 2.8 ]
[ 4, 2, 2, 2, 2 ]
[ 3.2, 2.4, 2.4, 2.8, 2 ]
[ 4, 2, 2, 2, 2 ]
[ 2.7, 0.8999999999999999, 2.4, 2.3, 1.9 ]
[ 2, 0, 2, 3, 2 ]
[ 2.4, 0.95, 2.3, 1.625, 2 ]
[ 2, 0.75, 2, 0.5, 2 ]
[ 2.8, 3.1, 2.6, 3.6, 3.6 ]
[ 2, 3, 2, 4, 4 ]
[ 2.8, 3, 2.6, 3.2, 3 ]
[ 2, 3, 2.25, 4, 3 ]
[ 3.2, 0.7, 2.1, 2.4000000000000004, 1.4 ]
[ 4, 0.5, 2, 3, 1.5 ]
[ 3.1, 1.225, 2.1, 2.3, 1.925 ]
[ 3, 0.5, 2, 2.5, 2.5 ]
[ 2, 2.4, 2.5, 3.6, 2.2 ]
[ 2, 2, 2.5, 4, 2 ]
[ 2, 2.8, 2.5, 3.2, 1.5 ]
[ 2, 2, 2, 4, 1.25 ]
"\nElaborate in about 2000 words using polished academic language and style with Complex vocabulary (...TRUNCATED)
"1) Is the generated text approximately 2000 words long? (importance: 100/100)\n2) Does the response(...TRUNCATED)
"The present paper seeks to delve into the subjective experiences encapsulated within the narratives(...TRUNCATED)
"The present paper endeavors to elucidate the subjective experiences embedded within the narratives (...TRUNCATED)
"The present paper seeks to delve into the subjective experiences encapsulated within the narratives(...TRUNCATED)
"The present paper seeks to elucidate the subjective experiences embedded within the narratives of i(...TRUNCATED)
"The present paper endeavors to delve into the subjective experiences encapsulated within the narrat(...TRUNCATED)
"The present paper endeavors to elucidate the subjective experiences encapsulated within the narrati(...TRUNCATED)
"The present paper endeavors to delve into the subjective experiences encapsulated within the narrat(...TRUNCATED)
"The present paper aims to delve into the subjective experiences encapsulated within the narratives (...TRUNCATED)
"The present paper endeavors to delve into the subjective experiences encapsulated within the narrat(...TRUNCATED)
"The present paper endeavors to delve into the subjective experiences encapsulated within the narrat(...TRUNCATED)
[ 2.1, 1.9, 1.8, 1.9, 1.9, 1.9, 1.9 ]
[ 2, 2, 2, 2, 2, 2, 2 ]
[ 2.3, 1.7, 2, 1.8, 2, 2, 1.9 ]
[ 2.5, 1.5, 2, 2, 2, 2, 2 ]
[ 2, 2, 2, 1.9, 1.8, 2, 1.7 ]
[ 2.5, 2, 2, 2, 2, 2, 1.5 ]
[ 1.625, 2, 2.1, 1.9, 1.9, 2, 1.8 ]
[ 2, 2, 2, 2, 2, 2, 2 ]
[ 1.7, 1.9, 2, 2, 1.675, 1.8, 2 ]
[ 1.5, 2, 2, 2, 2, 2, 2 ]
[ 1.6, 1.9, 2, 2.1, 1.7999999999999998, 1.7999999999999998, 1.8 ]
[ 1.75, 2, 2, 2, 2, 2, 2 ]
[ 2.025, 1.9, 2.1, 2.1, 2.125, 1.9, 2 ]
[ 3, 2, 2, 2, 2, 2, 2 ]
[ 1.625, 2, 1.8, 2.1, 1.7, 1.9, 2 ]
[ 1.5, 2, 2, 2, 2, 2, 2 ]
[ 1.8, 2.1, 2, 1.9, 1.7, 2, 1.8 ]
[ 2, 2, 2, 2, 1.5, 2, 2 ]
[ 1.9, 1.9, 2, 1.9, 2, 2, 1.9 ]
[ 2.25, 2, 2, 2, 2, 2, 2 ]
[ 2.3, 2.1, 2.4, 2.3, 2, 2.2, 2.2 ]
[ 2, 2, 2.5, 2.5, 2, 2.5, 2 ]
[ 1.9000000000000001, 2.2, 2.1, 2.1, 2, 1.9, 2.3 ]
[ 2, 2, 2, 2, 2, 2, 2 ]
"Write in polished academic language style an essay in about five thousand words Using Complex vocab(...TRUNCATED)
"1) Is the generated text written in polished academic language with complex vocabulary and sentence(...TRUNCATED)
"### Introduction\n\nChild narrators in fiction have long been a fertile ground for exploring the co(...TRUNCATED)
"### The Evolution of Child Narrators in Fiction: From James Joyce to Contemporary Literature\n\nThe(...TRUNCATED)
"### Introduction\n\nChild narrators have long been a staple in the annals of literary history, prov(...TRUNCATED)
"### Introduction\n\nChild narrators in fiction have long captivated literary scholars and readers a(...TRUNCATED)
"### Introduction\n\nChild narrators have long been a significant element in the landscape of litera(...TRUNCATED)
"### Introduction\n\nChild narrators in fiction have long captivated the literary imagination, offer(...TRUNCATED)
"### Introduction\n\nThe exploration of child narrators in fiction has undergone a significant evolu(...TRUNCATED)
"### The Evolution of Child Narrators in Fiction: A Post-James Joyce Analysis\n\n#### Introduction\n(...TRUNCATED)
"### Introduction\n\nIn the annals of modernist literature, James Joyce's *A Portrait of the Artist (...TRUNCATED)
"### The Evolution of Child Narrators in Fiction: Post-James Joyce’s *A Portrait of the Artist as (...TRUNCATED)
[ 1.8, 1.9, 2.1, 2.2, 2.1999999999999997, 2, 2 ]
[ 2, 1.5, 2.5, 2, 2.5, 2, 2 ]
[ 2, 2, 1.8, 1.9, 1.9000000000000001, 1.7, 2.2 ]
[ 2, 2, 1.5, 1.5, 2, 1.5, 2 ]
[ 2.3, 2.4000000000000004, 2.3, 2.5, 1.9000000000000001, 2.1, 2.1 ]
[ 2.5, 2, 2.5, 2.25, 2, 2, 2 ]
[ 2, 2.3, 2.1, 2.4, 2.2, 2.5, 2.9 ]
[ 2, 2, 2, 2.25, 2.5, 2, 2.5 ]
[ 1.7, 2, 2.1, 2, 1.9000000000000001, 1.8, 2.1 ]
[ 1.5, 2, 2, 2, 2.25, 2, 2 ]
[ 1.7, 1.7, 2, 2, 1.7, 1.9000000000000001, 1.9 ]
[ 1.5, 1.5, 2, 2, 2, 2, 2 ]
[ 2.4, 1.9000000000000001, 2.4, 2.5, 2.2, 1.9000000000000001, 2.5 ]
[ 2, 2, 2.25, 2.5, 1.5, 2, 2.25 ]
[ 1.7, 1.7, 1.9, 1.8, 1.9000000000000001, 1.8, 2.3 ]
[ 1.5, 1.5, 1.5, 1.5, 2.25, 1.5, 2 ]
[ 2.5, 2, 1.9, 2.7, 2.2, 2, 2.4 ]
[ 2.5, 2, 2, 2.5, 1.5, 2, 2 ]
[ 1.8, 1.7, 2, 2.1, 1.7, 1.8, 2 ]
[ 2, 1.5, 2, 2.5, 1.5, 2, 2 ]
[ 1.8, 2.2, 1.7, 1.9, 2.1, 2.1, 2 ]
[ 1.5, 2.5, 2.25, 1.5, 2.25, 2, 2 ]
[ 2.3, 1.7000000000000002, 2.4000000000000004, 2.3, 2.1, 2.1, 2.3 ]
[ 2.5, 1.5, 2, 2, 1.75, 2, 2 ]
"Consider the following project which is operational research problem. gimme the full mathematical (...TRUNCATED)
"1) Does the response define the decision variables? (importance: 100/100)\n2) Does the response lis(...TRUNCATED)
"Let's define the mathematical model for the Vehicle Loading Problem based on the provided details. (...TRUNCATED)
"Let's define the mathematical model for the Vehicle Loading Problem (VLP) as described. We will def(...TRUNCATED)
"Let's define the mathematical model for the Vehicle Loading Problem based on the provided details. (...TRUNCATED)
"To model the Vehicle Loading Problem as an operational research problem, we need to define the deci(...TRUNCATED)
"To formulate the vehicle loading problem as an operational research problem, we need to define the (...TRUNCATED)
"Let's define the mathematical model for the Vehicle Loading Problem as described. We'll break it do(...TRUNCATED)
"Let's define the mathematical model for the vehicle loading problem as described. We will break it (...TRUNCATED)
"To formulate the Vehicle Loading Problem as a mathematical model, we need to define the decision va(...TRUNCATED)
"To formulate the Vehicle Loading Problem as an operational research problem, we need to define the (...TRUNCATED)
"To formulate the Vehicle Loading Problem as an optimization problem, we need to define the decision(...TRUNCATED)
[ 1.5999999999999999, 2.2, 2.2, 2 ]
[ 1.25, 2, 2.25, 2 ]
[ 1.7, 1.9, 2, 1.8 ]
[ 1.5, 2, 2, 1.5 ]
[ 2.4, 2.2, 2.2, 2.3 ]
[ 2, 2, 2, 2.5 ]
[ 2, 2, 2, 2.4 ]
[ 2, 2, 2, 2.5 ]
[ 2.2, 2.2, 2.3, 2.3 ]
[ 2.5, 2, 2, 2.5 ]
[ 2, 2, 1.5, 1.9000000000000001 ]
[ 2, 2, 1.5, 2 ]
[ 2.2, 2.3, 2.2, 2.3 ]
[ 2.5, 2.5, 2, 2.5 ]
[ 2.5, 2.2, 1.9, 2.3 ]
[ 2, 2, 1.75, 2.5 ]
[ 2.2, 2.4, 2.1, 2.2 ]
[ 2, 2.5, 2, 2.5 ]
[ 1.8, 2, 1.9, 2.1999999999999997 ]
[ 2, 2, 2, 2.5 ]
[ 2, 2.1, 2.5, 2.1 ]
[ 2.25, 2, 2.5, 2 ]
[ 1.8, 1.9, 1.9, 2 ]
[ 2, 2, 2, 2 ]
question of a poor leader
"1) Is the generated text a list of questions? (importance: 100/100)\n2) Do the questions in the gen(...TRUNCATED)
"Sure, let's explore a question about a poor leader and provide a detailed analysis:\n\n### Question(...TRUNCATED)
"Certainly! Here’s a question that highlights a common issue with poor leadership:\n\n**\"How does(...TRUNCATED)
"Certainly! Here’s a question that highlights a common issue with poor leadership:\n\n**\"What are(...TRUNCATED)
"Certainly! Here's a question that highlights a common issue with poor leadership:\n\n**Question:**\(...TRUNCATED)
"Certainly! Here's a question that highlights a common issue with poor leadership:\n\n**Question:**\(...TRUNCATED)
"A poor leader often exhibits several characteristics that can negatively impact the effectiveness a(...TRUNCATED)
"Certainly! Here’s a question that highlights the characteristics of a poor leader:\n\n**\"How doe(...TRUNCATED)
"Certainly! Here’s a question that highlights a common issue with poor leadership:\n\n**\"What are(...TRUNCATED)
"A poor leader can have significant negative impacts on a team or organization. Here are some common(...TRUNCATED)
"Certainly! Poor leadership can have a significant impact on an organization's performance and the w(...TRUNCATED)
[ 2, 2.2, 2, 2.6, 2 ]
[ 2, 1.5, 2.5, 2, 2 ]
[ 0.8, 2.1, 2.7, 1.5999999999999999, 1 ]
[ 0, 2.25, 2.5, 1.75, 0 ]
[ 2.6, 3.2, 2.925, 2.6, 2.2 ]
[ 3.25, 4, 2.5, 2, 2 ]
[ 0.6, 2.2, 3, 1.9000000000000001, 2.2 ]
[ 0, 2, 3, 2, 2 ]
[ 2.4000000000000004, 2.5, 1.7999999999999998, 1.7999999999999998, 2.5 ]
[ 2.75, 2.25, 1.5, 1.75, 1.5 ]
[ 0.6, 2.3, 3.2, 1.9000000000000001, 1.95 ]
[ 0.25, 2.5, 3.25, 2, 1.5 ]
[ 2.55, 3.1, 2.6, 2.1666666666666665, 2.5 ]
[ 3, 3, 2.5, 2, 2 ]
[ 0.8, 1.9, 2.9, 1.9000000000000001, 2.3 ]
[ 0, 2, 3, 2, 2 ]
[ 2.3, 2.8, 2.1999999999999997, 3.4, 3.5 ]
[ 2.5, 2, 2.5, 4, 4 ]
[ 0, 1.9000000000000001, 2.9, 2.1, 2.8 ]
[ 0, 2, 3.5, 2.5, 2 ]
[ 3.1, 2.7, 2.1, 2.7, 2.9 ]
[ 3, 2, 2, 2, 3 ]
[ 2, 2.4, 2.2, 2.4000000000000004, 2.4 ]
[ 2.5, 2.5, 2, 2, 2.5 ]
"Write me a long spy story or a movie about american soldier, spy, bus driver and jazz musician name(...TRUNCATED)
"1) Does the generated text include the previous day's event where a Dutch sniper named Sikke Van De(...TRUNCATED)
"### Title: **Ambatukam Omaygot: The Impossible Mission**\n\n---\n\n#### **Previous Day: Hamburg, Ge(...TRUNCATED)
"### Title: **Ambatukam Omaygot: The Spy with a Soul**\n\n---\n\n#### **Previous Day: The Death of S(...TRUNCATED)
"### Title: **Ambatukam Omaygot: The Impossible Mission**\n\n---\n\n#### **Previous Day: Hamburg, Ge(...TRUNCATED)
"### Title: **The Amba Singh Affair**\n\n---\n\n#### **Previous Day: Hamburg, Germany**\n\nThe sun s(...TRUNCATED)
"### Title: **Ambatukam Omaygot and the National Undercover Team**\n\n#### Previous Day: Hamburg, Ge(...TRUNCATED)
"### Title: **Ambatukam Omaygot: The Spy Who Danced Through Shadows**\n\n#### Previous Day: Hamburg,(...TRUNCATED)
"### Title: **Ambatukam Omaygot: The Unlikely Spy**\n\n#### Previous Day: Hamburg, Germany\n\nThe su(...TRUNCATED)
"### Title: **Ambatukam Omaygot: The Spy's Gambit**\n\n---\n\n#### **Previous Day: Hamburg, Germany*(...TRUNCATED)
"### Title: **Ambatukam Omaygot: The Impossible Mission**\n\n---\n\n#### **Previous Day:**\nIn the h(...TRUNCATED)
"### Title: **The Last Note of Ambatukam Omaygot**\n\n#### **Day Before the Mission:**\n\nIn the qui(...TRUNCATED)
[ 2.3, 1.6, 2.6, 2.3, 2, 2.2, 2.2 ]
[ 2, 2, 2.5, 2.5, 2, 2, 2.5 ]
[ 1.7999999999999998, 2.1, 2.3, 1.8, 2, 2.3, 2.2 ]
[ 2, 2, 2.25, 2, 2, 2, 2 ]
[ 2.2, 2, 3, 2.5, 2.3, 1.9, 2.4 ]
[ 2, 2, 3, 2.5, 2.5, 2, 2.5 ]
[ 2, 2, 1.9, 2.3, 2.1, 2, 2.3 ]
[ 2, 2, 2, 2.5, 2, 2, 2.5 ]
[ 2, 2, 2.1, 2, 1.8, 2, 2 ]
[ 2, 2, 2, 2, 2, 2, 2 ]
[ 1.9, 1.8, 1.8, 1.9, 1.8, 2, 2.1 ]
[ 1.5, 1.5, 2, 2, 2, 2, 2.5 ]
[ 2.4000000000000004, 2, 3, 2.1, 2.2, 2.1, 2.1 ]
[ 2, 2, 3, 2, 2.5, 2, 2 ]
[ 1.9000000000000001, 2, 1.9, 2.1, 2.1, 2.1, 2.2 ]
[ 2, 2, 2, 2, 2, 2, 2 ]
[ 2.1, 2, 2.7, 2.2, 2, 2.2, 1.7 ]
[ 2, 2, 2.5, 2, 2, 2, 1.5 ]
[ 2.1, 2, 1.7000000000000002, 2.4, 2.1, 2, 2.3 ]
[ 2, 2, 1.25, 2, 2, 2, 2.5 ]
[ 2.1, 2, 2.1, 1.9, 2.2, 2.1, 2.1 ]
[ 1.75, 2, 2, 2, 2.5, 2, 2 ]
[ 2, 1.9000000000000001, 1.8, 1.6, 1.9000000000000001, 2.1, 2 ]
[ 1.75, 2, 2, 1.5, 2, 2, 2 ]
"Write me a long, perfect, nice, awesome and cool action/spy story about the american former soldier(...TRUNCATED)
"1) Is the generated text a long, detailed story? (importance: 100/100)\n2) Does the story include t(...TRUNCATED)
"### The Return of Ambatukam Omaygot: A Spy's Tale\n\n#### Chapter 1: The Hidden Life\n\nIn the bust(...TRUNCATED)
"### The Return of Dreamybull: A Tale of NUT and the UFC Fight\n\n#### Prologue: The Hidden Spy\n\nI(...TRUNCATED)
"### The Mission: Shadows Over Riyadh\n\n#### Chapter 1: The Delivery Man\n\nPerrell Laquarius Brown(...TRUNCATED)
"### Ambatukam Omaygot: The Return of Dreamybull\n\n#### Prologue: The Fugitive\n\nAmbatukam Omaygot(...TRUNCATED)
"### **Ambatukam Omaygot: The Return of Dreamybull**\n\n#### **Prologue: The Delivery Man**\n\nIn th(...TRUNCATED)
"### The Return of Ambatukam Omaygot: A Spy's Tale\n\n#### Prologue: The Faked Death and New Life\n\(...TRUNCATED)
"### The Return of Ambatukam Omaygot: A Tale of Shadows and Steel\n\n#### Prologue: The Hidden Man\n(...TRUNCATED)
"### The Perfect Spy: Ambatukam Omaygot\n\n#### Prologue\nIn the heart of Riyadh, under the guise of(...TRUNCATED)
"### The NUT: A Tale of Shadows and Steel\n\n#### Part I: The Reemergence\n\nAmbatukam Omaygot, aka (...TRUNCATED)
"### Chapter 1: Shadows in Riyadh\n\nThe morning sun cast long shadows over the bustling streets of (...TRUNCATED)
[ 2, 2, 1.9, 2.0999999999999996, 2.1, 2, 2, 2 ]
[ 2, 2, 2, 2, 2, 2, 2, 2 ]
[ 2.4, 2.3, 1.9, 2, 2.1, 2, 2.1999999999999997, 1.9 ]
[ 2.5, 2.5, 2, 2, 2, 2, 2.5, 2 ]
[ 1.9000000000000001, 1.9, 1.9, 2, 1.9, 1.9, 2.1, 1.9 ]
[ 2, 1.5, 2, 2, 2, 2, 2, 2 ]
[ 2.3, 2.1, 2, 2.1, 1.9, 1.9, 2.1999999999999997, 1.9 ]
[ 2.5, 2, 2, 2, 2, 2, 2.5, 2 ]
[ 1.7000000000000002, 1.9000000000000001, 1.9, 1.9, 1.9, 2, 1.6, 1.6 ]
[ 1.5, 2.25, 2, 2, 2, 2, 1.5, 1.5 ]
[ 2, 2, 2.1, 2, 2, 2, 2.1, 2 ]
[ 2, 2, 2, 2, 2, 2, 2, 2 ]
[ 1.9000000000000001, 2, 2.1, 2.2, 2, 2.1, 1.9000000000000001, 2 ]
[ 2, 2, 2, 2, 2, 2, 2, 2 ]
[ 2.2, 2, 2, 1.9000000000000001, 2.1, 2, 2.3, 2.0999999999999996 ]
[ 2.5, 2, 2, 2.25, 2, 2, 2.5, 2 ]
[ 2, 2, 1.9, 1.9, 2, 1.9, 2, 2 ]
[ 2, 2, 2, 2, 2, 2, 2, 2 ]
[ 2.2, 2.2, 2, 2, 2.1, 2, 2.5, 2.2 ]
[ 2.5, 2, 2, 2, 2, 2, 2.5, 2 ]
[ 1.7000000000000002, 2, 1.6, 1.7000000000000002, 1.7999999999999998, 2, 1.6, 1.7999999999999998 ]
[ 1.5, 2, 1.5, 2, 2, 2, 1.5, 2 ]
[ 2.1, 2.1, 2.1, 2, 2, 2, 2, 1.7999999999999998 ]
[ 2.5, 2, 2, 2, 2, 2, 2, 2 ]
script about radford upsetting cade cunningham
"1) Is the generated text a script? (importance: 100/100)\n2) Does the script clearly depict Radford(...TRUNCATED)
"Sure! Here's a script for a scene where Radford upsets Cade Cunningham in a fictional context. This(...TRUNCATED)
"Sure! Here's a brief script about Radford upsetting Cade Cunningham in a fictional basketball game.(...TRUNCATED)
"Sure! Here's a brief script about Radford upsetting Cade Cunningham in a fictional scenario. This s(...TRUNCATED)
"Sure! Here's a script for a scene where Radford upsets Cade Cunningham in a high-stakes basketball (...TRUNCATED)
"Sure! Here's a short script about Radford upsetting Cade Cunningham in a fictional basketball scena(...TRUNCATED)
"Sure, here's a script for a scene where Radford upsets Cade Cunningham in a sports context, such as(...TRUNCATED)
"Sure! Here's a script for a scene where Radford upsets Cade Cunningham. This scene could be part of(...TRUNCATED)
"Sure! Here's a short script about Radford upsetting Cade Cunningham in a basketball game. This scri(...TRUNCATED)
"Certainly! Below is a script outline for a scene where Radford upsets Cade Cunningham. This script (...TRUNCATED)
"Certainly! Below is a brief script that outlines a scene where Radford upsets Cade Cunningham. This(...TRUNCATED)
[ 2.7, 2.1, 2, 2.2 ]
[ 2.5, 2, 2, 2 ]
[ 2, 2.2, 2.1, 1.4 ]
[ 2, 2, 2, 1.25 ]
[ 1.6, 2.4, 2, 2.2 ]
[ 1.75, 2.5, 2, 2 ]
[ 1.6, 2.2, 1.8, 1.6 ]
[ 1.25, 2.5, 2, 2 ]
[ 2.2, 2.2, 2.1, 2.3 ]
[ 2.25, 2, 2, 2.5 ]
[ 2, 2.2, 2.2, 2 ]
[ 2, 2, 2, 2 ]
[ 2, 2.1, 2, 1.7 ]
[ 1.5, 2.5, 2, 2 ]
[ 2.1, 2, 2.3, 1.5 ]
[ 2, 2.25, 2.5, 1.5 ]
[ 2.3, 2.3, 2.1, 2.5 ]
[ 2.75, 2.5, 2, 2.5 ]
[ 2, 2.1, 2.3, 2.3 ]
[ 2, 2.25, 2, 2.5 ]
[ 2.2, 2, 2, 2.2 ]
[ 2, 1.5, 2, 2.5 ]
[ 2, 1.5, 1.7, 1.7000000000000002 ]
[ 2.25, 1.5, 1.5, 2 ]
"I want a table that lists the 24 hours in Shanghai corresponding to the time of the following count(...TRUNCATED)
"1) Is the generated text a table? (importance: 100/100)\n2) Does the table list the 24 hours in Sha(...TRUNCATED)
"Sure, here is a table that lists the 24 hours in Shanghai (UTC+8) corresponding to the time in vari(...TRUNCATED)
"Certainly! Below is a table that lists the 24 hours in Shanghai (UTC+8) corresponding to the time i(...TRUNCATED)
"Certainly! Below is a table that lists the 24 hours in Shanghai (China, UTC+8) corresponding to the(...TRUNCATED)
"Sure! Below is a table that lists the 24 hours in Shanghai (China) corresponding to the time in the(...TRUNCATED)
"Certainly! Below is a table that lists the 24 hours in Shanghai (UTC+8) corresponding to the time i(...TRUNCATED)
"Certainly! Below is a table that lists the 24 hours in Shanghai (China Standard Time, CST, UTC+8) c(...TRUNCATED)
"Sure! Below is a table that lists the 24 hours in Shanghai (China Standard Time, CST, which is UTC+(...TRUNCATED)
"Certainly! Here is a table listing the 24 hours in Shanghai (China, UTC+8) corresponding to the tim(...TRUNCATED)
"Certainly! Below is a table that lists the 24 hours of a day in Shanghai (China) and the correspond(...TRUNCATED)
"Certainly! To create a table that lists the 24 hours in Shanghai (China) and corresponds these to t(...TRUNCATED)
[ 1.5, 0.8, 1.2, 1.9 ]
[ 1.5, 1, 1.5, 1.5 ]
[ 2.4, 2, 2.4, 2.5 ]
[ 2, 2, 2.25, 2.25 ]
[ 1.4000000000000001, 1.8, 1.0333333333333334, 1.7 ]
[ 1.5, 2, 0.8333333333333334, 1.5 ]
[ 2.2, 1.6, 2.4, 2.4 ]
[ 1.5, 2, 2, 2.5 ]
[ 1.3, 0.8, 2, 1.9000000000000001 ]
[ 1, 0, 2, 2 ]
[ 2.5, 1.2000000000000002, 1.8, 2.1 ]
[ 2.5, 1, 2, 2.5 ]
[ 2.3, 2.1, 1.125, 2.3 ]
[ 3, 2, 0.5, 2 ]
[ 2.6, 2.5, 2.5, 2.7 ]
[ 3, 2, 2.25, 3 ]
[ 1.2, 1, 1, 0.9 ]
[ 1.5, 1.5, 1, 1.5 ]
[ 2, 2, 2.15, 2 ]
[ 2, 2, 2.25, 2 ]
[ 1.9, 1.4, 1.8, 1.7000000000000002 ]
[ 2, 1.5, 2.5, 1.75 ]
[ 2.5, 2.2, 2.9, 2.7 ]
[ 3, 2, 2.5, 2.5 ]
End of preview. Expand in Data Studio
README.md exists but content is empty.
Downloads last month
4