Text2DistBench / README.md
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---
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:
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dtype: float64
- name: (Actor,positive)
dtype: float64
- name: (Audio,negative)
dtype: float64
- name: (Audio,positive)
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- name: (Lyrics,negative)
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- name: (Lyrics,positive)
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- name: (Singer,negative)
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- name: (Singer,positive)
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- name: (Song,negative)
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- name: (Song,positive)
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- name: (Storyline,negative)
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- name: Audio
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- name: Lyrics
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- name: Singer
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- name: Song
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- name: Storyline
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- name: Visual
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- 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
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- name: task
dtype: string
- name: domain
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- name: distribution_type
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- name: source
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- name: answer
list: string
- name: ref_dist
struct:
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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)
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- name: (Visual,negative)
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- name: (Visual,positive)
dtype: float64
- name: Actor
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- name: Audio
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- name: Lyrics
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- name: Singer
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- name: Song
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- name: Storyline
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- name: negative
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- 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
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- name: task
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- name: domain
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- name: source
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- name: answer
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- 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
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- name: answer
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- 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
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- name: answer
struct:
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dtype: float64
- name: (Actor,positive)
dtype: float64
- name: (Audio,negative)
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- name: (Audio,positive)
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- name: (Lyrics,negative)
dtype: float64
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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:
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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
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- name: Lyrics
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- name: Singer
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- name: Song
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- name: positive
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- name: test
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num_examples: 297
download_size: 199143
dataset_size: 935381
- config_name: prior_most_freq
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splits:
- name: test
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dataset_size: 818945
- config_name: prior_second_freq
features:
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dtype: string
- name: task
dtype: string
- name: domain
dtype: string
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dtype: string
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dtype: string
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struct:
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dtype: float64
- name: (Actor,positive)
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- name: (Audio,negative)
dtype: float64
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dtype: float64
- name: (Lyrics,negative)
dtype: float64
- name: (Lyrics,positive)
dtype: float64
- name: (Singer,negative)
dtype: float64
- name: (Singer,positive)
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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
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dtype: float64
- name: positive
dtype: float64
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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")
```