frett/Text2DistBench huggingface dataset:
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: Primate
    - Release Date: 2026-01-09
    - Cast: Johnny Sequoyah, Jessica Alexander, Troy Kotsur, Victoria Wyant, Gia Hunter
    - Summary: L u c y ,   a   c o l l e g e   s t u d e n t ,   a l o n g   w i t h   h e r   f r i e n d s ,   s p e n d   t h e i r   v a c a t i o n   a t   h e r   f a m i l y ' s   h o m e   i n   H a w a i i ,   w h i c h   i n c l u d e s   h e r   p e t   c h i m p a n z e e ,   B e n .   H o w e v e r ,   w h e n   B e n   c o n t r a c t s   r a b i e s   a f t e r   b e i n g   b i t t e n   b y   a   r a b i d   a n i m a l ,   t h e   g r o u p   m u s t   f i g h t   f o r   t h e i r   l i v e s   i n   o r d e r   t o   a v o i d   t h e   n o w - v i o l e n t   c h i m p .
    - Synopsis:

Question:
Read the movie information.
How are viewers likely to feel overall about the movie?
Predict how common each attitude is expected to be.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "positive": "<int>%",
        "negative": "<int>%"
    }}
}}

Answer:


Answer: negative: 93
positive: 7.000000000000001
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: _Wuthering Heights_
    - Release Date: 2026-02-13
    - Cast: Margot Robbie, Jacob Elordi, Hong Chau, Alison Oliver, Shazad Latif
    - Summary: T r a g e d y   s t r i k e s   w h e n   H e a t h c l i f f   f a l l s   i n   l o v e   w i t h   C a t h e r i n e   E a r n s h a w ,   a   w o m a n   f r o m   a   w e a l t h y   f a m i l y   i n   1 8 t h - c e n t u r y   E n g l a n d .
    - Synopsis:

Question:
Read the movie information.
How are viewers likely to feel overall about the movie?
Predict how common each attitude is expected to be.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "positive": "<int>%",
        "negative": "<int>%"
    }}
}}

Answer:


Answer: negative: 70
positive: 30
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: GOAT
    - Release Date: 2026-02-13
    - Cast: Caleb McLaughlin, Gabrielle Union, Stephen Curry, Aaron Pierre, Nicola Coughlan
    - Summary: A   s m a l l   g o a t   w i t h   b i g   d r e a m s   g e t s   a   o n c e - i n - a - l i f e t i m e   s h o t   t o   j o i n   t h e   p r o s   a n d   p l a y   r o a r b a l l ,   a   h i g h - i n t e n s i t y ,   c o - e d ,   f u l l - c o n t a c t   s p o r t   d o m i n a t e d   b y   t h e   f a s t e s t ,   f i e r c e s t   a n i m a l s   i n   t h e   w o r l d .
    - Synopsis:

Question:
Read the movie information.
How are viewers likely to feel overall about the movie?
Predict how common each attitude is expected to be.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "positive": "<int>%",
        "negative": "<int>%"
    }}
}}

Answer:


Answer: negative: 33.89830508474576
positive: 66.10169491525424
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: The Super Mario Galaxy Movie
    - Release Date: 2026-04-01
    - Cast: Chris Pratt, Charlie Day, Anya Taylor-Joy, Jack Black, Keegan-Michael Key
    - Summary: H a v i n g   t h w a r t e d   B o w s e r ' s   p r e v i o u s   p l o t   t o   m a r r y   P r i n c e s s   P e a c h ,   M a r i o   a n d   L u i g i   n o w   f a c e   a   f r e s h   t h r e a t   i n   B o w s e r   J r . ,   w h o   i s   d e t e r m i n e d   t o   l i b e r a t e   h i s   f a t h e r   f r o m   c a p t i v i t y   a n d   r e s t o r e   t h e   f a m i l y   l e g a c y .   A l o n g s i d e   c o m p a n i o n s   n e w   a n d   o l d ,   t h e   b r o t h e r s   t r a v e l   a c r o s s   t h e   s t a r s   t o   s t o p   t h e   y o u n g   h e i r ' s   c r u s a d e .
    - Synopsis:

Question:
Read the movie information.
How are viewers likely to feel overall about the movie?
Predict how common each attitude is expected to be.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "positive": "<int>%",
        "negative": "<int>%"
    }}
}}

Answer:


Answer: negative: 30.120481927710845
positive: 69.87951807228916
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: Iron Lung
    - Release Date: 2026-01-30
    - Cast: Mark Fischbach, Caroline Kaplan, Troy Baker, Elsie Lovelock, Elle LaMont
    - Summary: T h e   s t a r s   a r e   g o n e .   T h e   p l a n e t s   h a v e   d i s a p p e a r e d .   O n l y   i n d i v i d u a l s   a b o a r d   s p a c e   s t a t i o n s   o r   s t a r s h i p s   w e r e   l e f t   t o   g i v e   t h e   e n d   a   n a m e   - -   T h e   Q u i e t   R a p t u r e .   A f t e r   d e c a d e s   o f   d e c a y   a n d   c r u m b l i n g   i n f r a s t r u c t u r e ,   t h e   C o n s o l i d a t i o n   o f   I r o n   h a s   m a d e   a   d i s c o v e r y   o n   a   b a r r e n   m o o n   d e s i g n a t e d   A T - 5 .   A n   o c e a n   o f   b l o o d .   H o p i n g   t o   d i s c o v e r   d e s p e r a t e l y   n e e d e d   r e s o u r c e s   t h e y   i m m e d i a t e l y   l a u n c h   a n   e x p e d i t i o n .   A   s u b m a r i n e   i s   c r a f t e d   a n d   a   c o n v i c t   i s   w e l d e d   i n s i d e .   D u e   t o   t h e   p r e s s u r e   a n d   d e p t h   o f   t h e   o c e a n   t h e   f o r w a r d   v i e w p o r t   h a s   b e e n   e n c a s e d   i n   m e t a l .   I f   s u c c e s s f u l ,   t h e y   w i l l   e a r n   t h e i r   f r e e d o m .   I f   n o t ,   a n o t h e r   w i l l   f o l l o w .   T h i s   w i l l   b e   t h e   1 3 t h   e x p e d i t i o n .
    - Synopsis:

Question:
Read the movie information.
How are viewers likely to feel overall about the movie?
Predict how common each attitude is expected to be.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "positive": "<int>%",
        "negative": "<int>%"
    }}
}}

Answer:


Answer: negative: 36.84210526315789
positive: 63.1578947368421
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: Greenland 2_ Migration
    - Release Date: 2026-01-09
    - Cast: Gerard Butler, Morena Baccarin, Roman Griffin Davis, Tommie Earl Jenkins, Trond Fausa Aurvåg
    - Summary: H a v i n g   f o u n d   t h e   s a f e t y   o f   t h e   G r e e n l a n d   b u n k e r   a f t e r   t h e   c o m e t   C l a r k e   d e c i m a t e d   t h e   E a r t h ,   t h e   G a r r i t y   f a m i l y   m u s t   n o w   r i s k   e v e r y t h i n g   t o   e m b a r k   o n   a   p e r i l o u s   j o u r n e y   a c r o s s   t h e   w a s t e l a n d   o f   E u r o p e   t o   f i n d   a   n e w   h o m e .
    - Synopsis:

Question:
Read the movie information.
How are viewers likely to feel overall about the movie?
Predict how common each attitude is expected to be.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "positive": "<int>%",
        "negative": "<int>%"
    }}
}}

Answer:


Answer: negative: 77.77777777777779
positive: 22.22222222222222
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: The Strangers_ Chapter 3
    - Release Date: 2026-02-06
    - Cast: Madelaine Petsch, Richard Brake, Ema Horvath, Gabriel Basso, Pedro Leandro
    - Summary: T e t h e r e d   b y   a   f r i g h t e n i n g   c o n c l u s i o n ,   M a y a   a n d   t h e   S t r a n g e r s   a r e   l o c k e d   o n   a n   u n a v o i d a b l e ,   u n f o r g i v i n g   c o l l i s i o n   c o u r s e   —   a   s h o w d o w n   t h a t   p r o v e s   t h e y ’ r e   f a r   f r o m   s t r a n g e r s   n o w .
    - Synopsis:

Question:
Read the movie information.
How are viewers likely to feel overall about the movie?
Predict how common each attitude is expected to be.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "positive": "<int>%",
        "negative": "<int>%"
    }}
}}

Answer:


Answer: negative: 82
positive: 18
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: The Bride_
    - Release Date: 2026-03-06
    - Cast: Jessie Buckley, Christian Bale, Peter Sarsgaard, John Magaro, Jeannie Berlin
    - Summary: A   l o n e l y   F r a n k e n s t e i n   t r a v e l s   t o   1 9 3 0 s   C h i c a g o   t o   a s k   g r o u n d b r e a k i n g   s c i e n t i s t   D r .   E u p h r o n i o u s   t o   c r e a t e   a   c o m p a n i o n   f o r   h i m .   T h e   t w o   r e v i v e   a   m u r d e r e d   y o u n g   w o m a n   a n d   T h e   B r i d e   i s   b o r n .   B u t   w h a t   e n s u e s   i s   b e y o n d   w h a t   e i t h e r   o f   t h e m   i m a g i n e d .
    - Synopsis:

Question:
Read the movie information.
How are viewers likely to feel overall about the movie?
Predict how common each attitude is expected to be.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "positive": "<int>%",
        "negative": "<int>%"
    }}
}}

Answer:


Answer: negative: 52
positive: 48
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: Cold Storage
    - Release Date: 2026-02-13
    - Cast: Joe Keery, Georgina Campbell, Liam Neeson, Lesley Manville, Sosie Bacon
    - Summary: W h e n   a   m u t a t i n g ,   h i g h l y   c o n t a g i o u s   f u n g u s   e s c a p e s   a   s e a l e d   f a c i l i t y ,   t w o   e m p l o y e e s   –   j o i n e d   b y   a   g r i z z l e d   b i o t e r r o r   o p e r a t i v e   –   m u s t   s u r v i v e   t h e   w i l d e s t   n i g h t   s h i f t   e v e r   t o   s a v e   h u m a n i t y   f r o m   e x t i n c t i o n .
    - Synopsis:

Question:
Read the movie information.
How are viewers likely to feel overall about the movie?
Predict how common each attitude is expected to be.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "positive": "<int>%",
        "negative": "<int>%"
    }}
}}

Answer:


Answer: negative: 71
positive: 28.999999999999996
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: Project Hail Mary
    - Release Date: 2026-03-20
    - Cast: Ryan Gosling, James Ortiz, Sandra Hüller, Lionel Boyce, Milana Vayntrub
    - Summary: S c i e n c e   t e a c h e r   R y l a n d   G r a c e   w a k e s   u p   o n   a   s p a c e s h i p   l i g h t   y e a r s   f r o m   h o m e   w i t h   n o   r e c o l l e c t i o n   o f   w h o   h e   i s   o r   h o w   h e   g o t   t h e r e .   A s   h i s   m e m o r y   r e t u r n s ,   h e   b e g i n s   t o   u n c o v e r   h i s   m i s s i o n :   s o l v e   t h e   r i d d l e   o f   t h e   m y s t e r i o u s   s u b s t a n c e   c a u s i n g   t h e   s u n   t o   d i e   o u t .   H e   m u s t   c a l l   o n   h i s   s c i e n t i f i c   k n o w l e d g e   a n d   u n o r t h o d o x   i d e a s   t o   s a v e   e v e r y t h i n g   o n   E a r t h   f r o m   e x t i n c t i o n …   b u t   a n   u n e x p e c t e d   f r i e n d s h i p   m e a n s   h e   m a y   n o t   h a v e   t o   d o   i t   a l o n e .
    - Synopsis:

Question:
Read the movie information.
Which aspects of the movie are viewers most likely to talk about?
Predict how frequently each aspect is expected to be discussed.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "Actor": "<int>%",
        "Storyline": "<int>%",
        "Visual": "<int>%",
        "Audio": "<int>%"
    }}
}}

Answer:


Answer: Actor: 8
Audio: 7.000000000000001
Storyline: 84
Visual: 1
You will be given information about a movie.

    Based on this information, consider how viewers are likely to react to the movie and what aspects they are likely to talk about.

    When thinking about viewer opinions, keep in mind two dimensions:
    - Stance: whether viewers are likely to express a positive or negative attitude.
    - Topic: which aspect of the movie viewers are likely to focus on.

    Stance categories:
    - positive: expressing approval, enjoyment, or praise.
    - negative: expressing criticism, dissatisfaction, or disappointment.

    Topic categories:
    - Actor: acting performance, casting, chemistry, emotional expression.
    - Storyline: plot, narrative, pacing, themes, dialogue, character development.
    - Visual: cinematography, animation, lighting, color, visual effects, production design.
    - Audio: soundtrack, music, sound effects, or audio quality.

    Read the movie information carefully.
    Then answer the question based on this information.

    Movie Information:
    
    - Movie Title: undertone
    - Release Date: 2026-03-13
    - Cast: Nina Kiri, Adam DiMarco, Michèle Duquet, Keana Bastidas, Jeff Yung
    - Summary: T h e   h o s t   o f   a   p o p u l a r   p a r a n o r m a l   p o d c a s t   b e c o m e s   h a u n t e d   b y   t e r r i f y i n g   r e c o r d i n g s   m y s t e r i o u s l y   s e n t   h e r   w a y .
    - Synopsis:

Question:
Read the movie information.
Which aspects of the movie are viewers most likely to talk about?
Predict how frequently each aspect is expected to be discussed.
Ensure the percentages sum to 100 and use integers only.

Output your prediction in the following JSON format:
{{
    "percentages": {{
        "Actor": "<int>%",
        "Storyline": "<int>%",
        "Visual": "<int>%",
        "Audio": "<int>%"
    }}
}}

Answer:


Answer: Actor: 3
Audio: 9
Storyline: 86
Visual: 2