Search is not available for this dataset
qid string | task string | domain string | distribution_type string | condition string | source string | answer string | ref_dist string | question string | meta_data string | comments string |
|---|---|---|---|---|---|---|---|---|---|---|
1db5d5e8-3367-4f1b-96ef-ff25b51a834c | Estimation | movie | P_s | NaN | Project Hail Mary | {"negative": 32.0, "positive": 68.0} | {"negative": 32.0, "positive": 68.0} |
You will be given information about a movie, followed by a collection of viewer comments.
Each comment reflects what a viewer thinks about the movie and focuses on a particular aspect while expressing a certain attitude.
When reading the comments, keep in mind two dimensions:
- Stance: whether the com... |
- 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 ... | 1. The movie actually lived up to the emotions you get from this trailer. Best movie of the year.
2. OK, so me and my mom watched this yesterday. It’s like three hours watching it and it’s the best movie space movie you can ever find you guys should really watch it. It’s in theaters right now and it’s really really goo... |
577ab693-13d2-4e9f-949e-0f2bb2daaedb | Estimation | movie | P_s | NaN | undertone | {"negative": 84.0, "positive": 16.0} | {"negative": 84.0, "positive": 16.0} |
You will be given information about a movie, followed by a collection of viewer comments.
Each comment reflects what a viewer thinks about the movie and focuses on a particular aspect while expressing a certain attitude.
When reading the comments, keep in mind two dimensions:
- Stance: whether the com... |
- 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... | 1. Oh look another skeptic that has gets Jump scared alot how quaint 🙄
2. Dude. Just saw it. The build up was perfect. The ending? Wtf was that? It was terrible. The mom in the movie was completely pointless and irrelevant to 99.9% of the movie. The ending was just lacking.
3. This looks unique and creepy, but definit... |
ed232b49-dbac-4de8-8f23-214a5c023e4c | Estimation | movie | P_s | NaN | Hoppers | {"negative": 60.46511627906976, "positive": 39.53488372093023} | {"negative": 60.46511627906976, "positive": 39.53488372093023} |
You will be given information about a movie, followed by a collection of viewer comments.
Each comment reflects what a viewer thinks about the movie and focuses on a particular aspect while expressing a certain attitude.
When reading the comments, keep in mind two dimensions:
- Stance: whether the com... |
- Movie Title: Hoppers
- Release Date: 2026-03-06
- Cast: Piper Curda, Bobby Moynihan, Jon Hamm, Kathy Najimy, Dave Franco
- Summary: S c i e n t i s t s h a v e d i s c o v e r e d h o w t o ' h o p ' h u m a n c o n s c i o u s n e s s i n t o l i f e l i k e r o b o t i c a n i... | 1. This is nothing like AVATAR 😂
2. I love that they are using another art style once and for all!
3. 0:09 If this was really like avatar, she gotta fall in love with a beaver.
And you know they ain't gonna do that cuz zootopia 2 already filled up the furry movie quota
4. The marketing for this movie has improved sign... |
4e723f47-b8b3-46dc-8d2b-23256da0db0d | Estimation | movie | P_s | NaN | Dhurandhar_ The Revenge | {"negative": 62.903225806451616, "positive": 37.096774193548384} | {"negative": 62.903225806451616, "positive": 37.096774193548384} |
You will be given information about a movie, followed by a collection of viewer comments.
Each comment reflects what a viewer thinks about the movie and focuses on a particular aspect while expressing a certain attitude.
When reading the comments, keep in mind two dimensions:
- Stance: whether the com... |
- Movie Title: Dhurandhar_ The Revenge
- Release Date: 2026-03-18
- Cast: Ranveer Singh, Arjun Rampal, R. Madhavan, Sanjay Dutt, Sara Arjun
- Summary: A s r i v a l g a n g s , c o r r u p t o f f i c i a l s a n d a r u t h l e s s M a j o r I q b a l c l o s e i n , H a m z a ... | 1. This movie not against Pakistan. This is about terrorism. Dhurandhar❤
2. When will Bollywood stop making their entire films around Muslims being villainized while they don’t even let Muslims in idea live in peace hypocrisy and propaganda
3. 1:57 OH MY GOD! WHAT AN EXPRESSION of ranveer singh. This is pure class perf... |
5b563b51-13d3-4a5d-816e-495edc16f880 | Estimation | movie | P_s | NaN | Forbidden Fruits | {"negative": 24.0, "positive": 76.0} | {"negative": 24.0, "positive": 76.0} |
You will be given information about a movie, followed by a collection of viewer comments.
Each comment reflects what a viewer thinks about the movie and focuses on a particular aspect while expressing a certain attitude.
When reading the comments, keep in mind two dimensions:
- Stance: whether the com... |
- Movie Title: Forbidden Fruits
- Release Date: 2026-03-27
- Cast: Lili Reinhart, Lola Tung, Victoria Pedretti, Alexandra Shipp, Emma Chamberlain
- Summary: F r e e E d e n e m p l o y e e A p p l e s e c r e t l y r u n s a w i t c h y f e m m e c u l t i n t h e b a s e m e n ... | 1. I’m going to watch this film for nostalgia purposes 🥹
2. I hope this will be in the same universe as Jennifer's Body and Lisa Frankenstein.
3. Witches reinterpreted as lame social media make up and makeover influencers. Could have worked, if they included a trans witch.
4. So Mean girls????The craft???? But fruits?... |
aa9f28b9-b2f4-459a-bfb0-18afc5a86fd1 | Estimation | movie | P_s | NaN | Good Luck_ Have Fun_ Don_t Die | {"negative": 62.0, "positive": 38.0} | {"negative": 62.0, "positive": 38.0} |
You will be given information about a movie, followed by a collection of viewer comments.
Each comment reflects what a viewer thinks about the movie and focuses on a particular aspect while expressing a certain attitude.
When reading the comments, keep in mind two dimensions:
- Stance: whether the com... |
- Movie Title: Good Luck_ Have Fun_ Don_t Die
- Release Date: 2026-02-13
- Cast: Sam Rockwell, Juno Temple, Haley Lu Richardson, Michael Peña, Zazie Beetz
- Summary: A ' M a n f r o m t h e F u t u r e ' a r r i v e s a t a n L A d i n e r w h e r e h e m u s t r e c r u i t ... | 1. This is what i want, lots of crazy action, i don't care about the reason.
2. Good luck have fun dont die is going to be one them movies that's entertaining but has a deeper meaning. Did you here what he said about society? Look at the world now afterwards 👀👀👀
3. Let me guess, Kraken is an unofficial prequel to A... |
35aff14a-dcd7-4a10-a63d-8b8920cd091e | Estimation | movie | P_s | NaN | EPiC_ Elvis Presley in Concert | {"negative": 20.253164556962027, "positive": 79.74683544303798} | {"negative": 20.253164556962027, "positive": 79.74683544303798} |
You will be given information about a movie, followed by a collection of viewer comments.
Each comment reflects what a viewer thinks about the movie and focuses on a particular aspect while expressing a certain attitude.
When reading the comments, keep in mind two dimensions:
- Stance: whether the com... |
- Movie Title: EPiC_ Elvis Presley in Concert
- Release Date: 2026-02-27
- Cast: Elvis Presley, James Burton, John Wilkinson, Charlie Hodge, Jerry Scheff
- Summary: L o n g - l o s t f o o t a g e f r o m E l v i s P r e s l e y ' s l e g e n d a r y L a s V e g a s r e s i d e n c y ... | 1. He could not dance at all. Looks like it will be a great movie though. I mean it is “The King” baby. 😂
2. My God!! Elvis is incredible!! The Best! Greetings from Brazil!
3. Just saw this!! Fantastic, that guy put his heart and soul into every lyric and performance.
Im only 43, but ive seen the emergenceof alternat... |
4f65d0e7-f08f-40b3-ab42-68c4f941a4a7 | Estimation | movie | P_s | NaN | Crime 101 | {"negative": 34.0, "positive": 66.0} | {"negative": 34.0, "positive": 66.0} | "\n You will be given information about a movie, followed by a collection of viewer comments.\n (...TRUNCATED) | "\n - Movie Title: Crime 101\n - Release Date: 2026-02-13\n - Cast: Chris Hemsworth, Mark R(...TRUNCATED) | "1. 🎵 Background Music: \nFred Again x Skepta- Victory Lap 🔥\n2. Garbage. Halfway through and (...TRUNCATED) |
c6514efc-d797-4fd3-b091-c173e4b98696 | Estimation | movie | P_s | NaN | They Will Kill You | {"negative": 53.84615384615385, "positive": 46.15384615384615} | {"negative": 53.84615384615385, "positive": 46.15384615384615} | "\n You will be given information about a movie, followed by a collection of viewer comments.\n (...TRUNCATED) | "\n - Movie Title: They Will Kill You\n - Release Date: 2026-03-27\n - Cast: Zazie Beetz, P(...TRUNCATED) | "1. This movie was dope, weird and wtf at the same time great acting\n2. Let me guess...another woma(...TRUNCATED) |
6ed708d8-a56f-408c-b686-68318eda88f4 | Estimation | movie | P_s | NaN | Border 2 | {"negative": 55.00000000000001, "positive": 45.0} | {"negative": 55.00000000000001, "positive": 45.0} | "\n You will be given information about a movie, followed by a collection of viewer comments.\n (...TRUNCATED) | "\n - Movie Title: Border 2\n - Release Date: 2026-01-23\n - Cast: Sunny Deol, Varun Dhawan(...TRUNCATED) | "1. I have just watched and trust in chutiyo ne barbad kar diya border jaisi iconic movie ko ... Hum(...TRUNCATED) |
End of preview. Expand in Data Studio
📌 Overview
Text2DistBench is a reading comprehension benchmark for evaluating whether large language models can infer distributional knowledge from natural language evidence. Given metadata and a set of user comments about an entity (e.g., a movie or song), models must infer statistics such as: stance/topic distribution, and most/second- frequent labels.
⚙️ Configurations
The dataset is constructed from movie and music entities released between 2026-01-01 and 2026-04-01. It includes two types of configurations:
🟦 Posterior Configurations
Include both metadata and user comments as evidence.
These configurations differ by sample size (50 or 100 comments) and task type (estimation, most_freq, second_freq).
Format: posterior_sampled_<comment_num>_<task>
🟨 Prior Configurations
Include only metadata (no comments).
Format: prior_<task>
⚙️ Dataset Format
Each benchmark instance corresponds to a distributional reading comprehension question.
{
"qid": < question id >,
"qtype": < distribution type >,
"answer": < answer (mode label or distribution depending on task) >,
"ref_dist": < Ground-truth distribution over labels >,
"question": < Full prompt shown to model (instruction + evidence + query) >,
"source": "< entity name >",
"meta_data": "< text evidence >",
"comments": "< text evidence (if posterior)>",
"condition": "< conditioning variable for P(s|t), P(t|s) >",
}
⚙️ Load the Dataset
from datasets import load_dataset
ds = load_dataset("frett/Text2DistBench", "posterior_sampled_50_estimation", split="test")
ds = load_dataset("frett/Text2DistBench", "prior_most_freq", split="test")
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