File size: 6,643 Bytes
95e2b50
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5ce34b8
 
95e2b50
 
 
4f1b42e
95e2b50
4f1b42e
95e2b50
 
be7e59b
 
 
 
95e2b50
 
5ce34b8
95e2b50
5ce34b8
 
95e2b50
 
 
 
 
 
 
 
 
 
7507243
 
95e2b50
 
 
5009616
95e2b50
5009616
95e2b50
 
7e81956
 
 
 
95e2b50
 
7507243
95e2b50
7507243
 
95e2b50
 
 
 
 
 
 
 
 
 
ab9d448
 
95e2b50
 
 
e48070d
95e2b50
e48070d
95e2b50
 
4d6f136
 
 
 
95e2b50
 
ab9d448
95e2b50
ab9d448
 
95e2b50
c716447
95e2b50
 
c716447
 
 
 
95e2b50
4f9d956
95e2b50
 
4f9d956
 
 
 
95e2b50
4e40c6f
95e2b50
 
4e40c6f
 
 
 
95e2b50
 
 
 
 
 
 
 
 
 
64efc6e
 
95e2b50
 
 
d38106f
95e2b50
d38106f
95e2b50
 
b9dcbea
 
95e2b50
 
64efc6e
95e2b50
64efc6e
 
95e2b50
 
 
 
 
 
 
 
 
 
8b13860
 
95e2b50
 
 
6a6aeba
95e2b50
6a6aeba
95e2b50
 
b7ac747
 
95e2b50
 
8b13860
 
 
 
95e2b50
 
 
 
 
 
 
 
 
 
b75d947
 
95e2b50
 
 
ffe12f6
95e2b50
ffe12f6
95e2b50
 
ec90a67
 
95e2b50
 
b75d947
 
 
 
95e2b50
dd69ee1
d10d360
c46f95d
d10d360
c46f95d
dd69ee1
d10d360
 
 
1a31992
 
2a96f86
d10d360
 
 
 
dd69ee1
d10d360
 
 
dd69ee1
ec83577
 
 
d10d360
ec83577
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
dd69ee1
 
d10d360
dd69ee1
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
---
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: condition
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  - name: meta_data
    dtype: string
  - name: comments
    dtype: string
  splits:
  - name: test
    num_bytes: 7227023
    num_examples: 297
  download_size: 1754231
  dataset_size: 7227023
- 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: condition
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  - name: meta_data
    dtype: string
  - name: comments
    dtype: string
  splits:
  - name: test
    num_bytes: 6942745
    num_examples: 289
  download_size: 1718577
  dataset_size: 6942745
- 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: condition
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  - name: meta_data
    dtype: string
  - name: comments
    dtype: string
  splits:
  - name: test
    num_bytes: 6766017
    num_examples: 281
  download_size: 1680004
  dataset_size: 6766017
- config_name: posterior_sampled_50_estimation
  features: []
  splits:
  - name: test
    num_bytes: 0
    num_examples: 0
  download_size: 423
  dataset_size: 0
- config_name: posterior_sampled_50_most_freq
  features: []
  splits:
  - name: test
    num_bytes: 0
    num_examples: 0
  download_size: 423
  dataset_size: 0
- config_name: posterior_sampled_50_second_freq
  features: []
  splits:
  - name: test
    num_bytes: 0
    num_examples: 0
  download_size: 423
  dataset_size: 0
- config_name: prior_estimation
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: condition
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  - name: meta_data
    dtype: string
  splits:
  - name: test
    num_bytes: 1225753
    num_examples: 297
  download_size: 201283
  dataset_size: 1225753
- config_name: prior_most_freq
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: condition
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  - name: meta_data
    dtype: string
  splits:
  - name: test
    num_bytes: 1125647
    num_examples: 289
  download_size: 187242
  dataset_size: 1125647
- config_name: prior_second_freq
  features:
  - name: qid
    dtype: string
  - name: task
    dtype: string
  - name: domain
    dtype: string
  - name: distribution_type
    dtype: string
  - name: condition
    dtype: string
  - name: source
    dtype: string
  - name: answer
    dtype: string
  - name: ref_dist
    dtype: string
  - name: question
    dtype: string
  - name: meta_data
    dtype: string
  splits:
  - name: test
    num_bytes: 1114583
    num_examples: 281
  download_size: 184748
  dataset_size: 1114583
---

## 📌 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 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 (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
```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")
```