---
license: cc-by-4.0
configs:
- config_name: posterior_sampled_100_estimation
  data_files:
  - split: test
    path: posterior_sampled_100_estimation/test-*
- config_name: posterior_sampled_100_most_freq
  data_files:
  - split: test
    path: posterior_sampled_100_most_freq/test-*
- config_name: posterior_sampled_100_second_freq
  data_files:
  - split: test
    path: posterior_sampled_100_second_freq/test-*
- config_name: posterior_sampled_50_estimation
  data_files:
  - split: test
    path: posterior_sampled_50_estimation/test-*
- config_name: posterior_sampled_50_most_freq
  data_files:
  - split: test
    path: posterior_sampled_50_most_freq/test-*
- config_name: posterior_sampled_50_second_freq
  data_files:
  - split: test
    path: posterior_sampled_50_second_freq/test-*
- config_name: prior_estimation
  data_files:
  - split: test
    path: prior_estimation/test-*
- config_name: prior_most_freq
  data_files:
  - split: test
    path: prior_most_freq/test-*
- config_name: prior_second_freq
  data_files:
  - split: test
    path: prior_second_freq/test-*
dataset_info:
- config_name: posterior_sampled_100_estimation
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  splits:
  - name: test
    num_bytes: 3895061
    num_examples: 297
  download_size: 1527563
  dataset_size: 3895061
- config_name: posterior_sampled_100_most_freq
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: source
    dtype: string
  - name: answer
    list: string
  - name: ref_dist
    struct:
    - name: (Actor,negative)
      dtype: float64
    - name: (Actor,positive)
      dtype: float64
    - name: (Audio,negative)
      dtype: float64
    - name: (Audio,positive)
      dtype: float64
    - name: (Lyrics,negative)
      dtype: float64
    - name: (Lyrics,positive)
      dtype: float64
    - name: (Singer,negative)
      dtype: float64
    - name: (Singer,positive)
      dtype: float64
    - name: (Song,negative)
      dtype: float64
    - name: (Song,positive)
      dtype: float64
    - name: (Storyline,negative)
      dtype: float64
    - name: (Storyline,positive)
      dtype: float64
    - name: (Visual,negative)
      dtype: float64
    - name: (Visual,positive)
      dtype: float64
    - name: Actor
      dtype: float64
    - name: Audio
      dtype: float64
    - name: Lyrics
      dtype: float64
    - name: Singer
      dtype: float64
    - name: Song
      dtype: float64
    - name: Storyline
      dtype: float64
    - name: Visual
      dtype: float64
    - name: negative
      dtype: float64
    - name: positive
      dtype: float64
  - name: question
    dtype: string
  splits:
  - name: test
    num_bytes: 3740817
    num_examples: 289
  download_size: 1504753
  dataset_size: 3740817
- config_name: posterior_sampled_100_second_freq
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: source
    dtype: string
  - name: answer
    list: string
  - name: ref_dist
    struct:
    - name: (Actor,negative)
      dtype: float64
    - name: (Actor,positive)
      dtype: float64
    - name: (Audio,negative)
      dtype: float64
    - name: (Audio,positive)
      dtype: float64
    - name: (Lyrics,negative)
      dtype: float64
    - name: (Lyrics,positive)
      dtype: float64
    - name: (Singer,negative)
      dtype: float64
    - name: (Singer,positive)
      dtype: float64
    - name: (Song,negative)
      dtype: float64
    - name: (Song,positive)
      dtype: float64
    - name: (Storyline,negative)
      dtype: float64
    - name: (Storyline,positive)
      dtype: float64
    - name: (Visual,negative)
      dtype: float64
    - name: (Visual,positive)
      dtype: float64
    - name: Actor
      dtype: float64
    - name: Audio
      dtype: float64
    - name: Lyrics
      dtype: float64
    - name: Singer
      dtype: float64
    - name: Song
      dtype: float64
    - name: Storyline
      dtype: float64
    - name: Visual
      dtype: float64
    - name: negative
      dtype: float64
    - name: positive
      dtype: float64
  - name: question
    dtype: string
  splits:
  - name: test
    num_bytes: 3647726
    num_examples: 281
  download_size: 1465854
  dataset_size: 3647726
- config_name: posterior_sampled_50_estimation
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  splits:
  - name: test
    num_bytes: 2458831
    num_examples: 297
  download_size: 865476
  dataset_size: 2458831
- config_name: posterior_sampled_50_most_freq
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  splits:
  - name: test
    num_bytes: 2300065
    num_examples: 286
  download_size: 834651
  dataset_size: 2300065
- config_name: posterior_sampled_50_second_freq
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  splits:
  - name: test
    num_bytes: 2203134
    num_examples: 273
  download_size: 823940
  dataset_size: 2203134
- config_name: prior_estimation
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: source
    dtype: string
  - name: answer
    struct:
    - name: (Actor,negative)
      dtype: float64
    - name: (Actor,positive)
      dtype: float64
    - name: (Audio,negative)
      dtype: float64
    - name: (Audio,positive)
      dtype: float64
    - name: (Lyrics,negative)
      dtype: float64
    - name: (Lyrics,positive)
      dtype: float64
    - name: (Singer,negative)
      dtype: float64
    - name: (Singer,positive)
      dtype: float64
    - name: (Song,negative)
      dtype: float64
    - name: (Song,positive)
      dtype: float64
    - name: (Storyline,negative)
      dtype: float64
    - name: (Storyline,positive)
      dtype: float64
    - name: (Visual,negative)
      dtype: float64
    - name: (Visual,positive)
      dtype: float64
    - name: Actor
      dtype: float64
    - name: Audio
      dtype: float64
    - name: Lyrics
      dtype: float64
    - name: Singer
      dtype: float64
    - name: Song
      dtype: float64
    - name: Storyline
      dtype: float64
    - name: Visual
      dtype: float64
    - name: negative
      dtype: float64
    - name: positive
      dtype: float64
  - name: ref_dist
    struct:
    - name: (Actor,negative)
      dtype: float64
    - name: (Actor,positive)
      dtype: float64
    - name: (Audio,negative)
      dtype: float64
    - name: (Audio,positive)
      dtype: float64
    - name: (Lyrics,negative)
      dtype: float64
    - name: (Lyrics,positive)
      dtype: float64
    - name: (Singer,negative)
      dtype: float64
    - name: (Singer,positive)
      dtype: float64
    - name: (Song,negative)
      dtype: float64
    - name: (Song,positive)
      dtype: float64
    - name: (Storyline,negative)
      dtype: float64
    - name: (Storyline,positive)
      dtype: float64
    - name: (Visual,negative)
      dtype: float64
    - name: (Visual,positive)
      dtype: float64
    - name: Actor
      dtype: float64
    - name: Audio
      dtype: float64
    - name: Lyrics
      dtype: float64
    - name: Singer
      dtype: float64
    - name: Song
      dtype: float64
    - name: Storyline
      dtype: float64
    - name: Visual
      dtype: float64
    - name: negative
      dtype: float64
    - name: positive
      dtype: float64
  - name: question
    dtype: string
  splits:
  - name: test
    num_bytes: 935381
    num_examples: 297
  download_size: 199143
  dataset_size: 935381
- config_name: prior_most_freq
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: source
    dtype: string
  - name: answer
    list: string
  - name: ref_dist
    struct:
    - name: (Actor,negative)
      dtype: float64
    - name: (Actor,positive)
      dtype: float64
    - name: (Audio,negative)
      dtype: float64
    - name: (Audio,positive)
      dtype: float64
    - name: (Lyrics,negative)
      dtype: float64
    - name: (Lyrics,positive)
      dtype: float64
    - name: (Singer,negative)
      dtype: float64
    - name: (Singer,positive)
      dtype: float64
    - name: (Song,negative)
      dtype: float64
    - name: (Song,positive)
      dtype: float64
    - name: (Storyline,negative)
      dtype: float64
    - name: (Storyline,positive)
      dtype: float64
    - name: (Visual,negative)
      dtype: float64
    - name: (Visual,positive)
      dtype: float64
    - name: Actor
      dtype: float64
    - name: Audio
      dtype: float64
    - name: Lyrics
      dtype: float64
    - name: Singer
      dtype: float64
    - name: Song
      dtype: float64
    - name: Storyline
      dtype: float64
    - name: Visual
      dtype: float64
    - name: negative
      dtype: float64
    - name: positive
      dtype: float64
  - name: question
    dtype: string
  splits:
  - name: test
    num_bytes: 818945
    num_examples: 289
  download_size: 179115
  dataset_size: 818945
- config_name: prior_second_freq
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: source
    dtype: string
  - name: answer
    list: string
  - name: ref_dist
    struct:
    - name: (Actor,negative)
      dtype: float64
    - name: (Actor,positive)
      dtype: float64
    - name: (Audio,negative)
      dtype: float64
    - name: (Audio,positive)
      dtype: float64
    - name: (Lyrics,negative)
      dtype: float64
    - name: (Lyrics,positive)
      dtype: float64
    - name: (Singer,negative)
      dtype: float64
    - name: (Singer,positive)
      dtype: float64
    - name: (Song,negative)
      dtype: float64
    - name: (Song,positive)
      dtype: float64
    - name: (Storyline,negative)
      dtype: float64
    - name: (Storyline,positive)
      dtype: float64
    - name: (Visual,negative)
      dtype: float64
    - name: (Visual,positive)
      dtype: float64
    - name: Actor
      dtype: float64
    - name: Audio
      dtype: float64
    - name: Lyrics
      dtype: float64
    - name: Singer
      dtype: float64
    - name: Song
      dtype: float64
    - name: Storyline
      dtype: float64
    - name: Visual
      dtype: float64
    - name: negative
      dtype: float64
    - name: positive
      dtype: float64
  - name: question
    dtype: string
  splits:
  - name: test
    num_bytes: 813863
    num_examples: 281
  download_size: 176268
  dataset_size: 813863
---

**Text2DistBench** is a 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 estimate statistics such as:
stance distribution, topic distribution, and most/second-most frequent labels.

The dataset is constructed from movie and music entities released between 2025-12-01 and 2026-03-01. 

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:
`posterior_sampled_50_estimation`, 
`posterior_sampled_50_most_freq`,  
`posterior_sampled_50_second_freq`,  
`posterior_sampled_100_estimation`, 
`posterior_sampled_100_most_freq`, 
`posterior_sampled_100_second_freq`  

**Prior configurations** contain only metadata without comments: `prior_estimation`, `prior_most_freq`, `prior_second_freq`  

---

## Load the Dataset
```bash
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")
```