Hugging Face's logo

Datasets:
NLP-FBK
/
medqa-en

Modalities:
Tabular
Text
Formats:
parquet
Size:
10K - 100K
ArXiv:
Libraries:
Datasets
pandas
Dataset card Data Studio Files
xet
 Community
medqa-en
File size: 2,863 Bytes
fa62a68
 
d0618ac
fa62a68
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d0618ac
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4e347ba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fa62a68
 
 
 
 
d0618ac
 
 
 
4e347ba
 
 
 
fa62a68
f9e6832
 
 
 
 
 
 
 
 
 
 
 
 
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
---
dataset_info:
- config_name: test
  features:
  - name: id
    dtype: string
  - name: subject_name
    dtype: string
  - name: correct_answer
    dtype: string
  - name: correct_option
    dtype: int64
  - name: options
    struct:
    - name: '1'
      dtype: string
    - name: '2'
      dtype: string
    - name: '3'
      dtype: string
    - name: '4'
      dtype: string
  - name: question
    dtype: string
  - name: opa
    dtype: string
  - name: opb
    dtype: string
  - name: opc
    dtype: string
  - name: opd
    dtype: string
  - name: cop
    dtype: int64
  - name: full_question
    dtype: string
  splits:
  - name: train
    num_bytes: 2343210
    num_examples: 1273
  download_size: 1387673
  dataset_size: 2343210
- config_name: train
  features:
  - name: id
    dtype: string
  - name: subject_name
    dtype: string
  - name: correct_answer
    dtype: string
  - name: correct_option
    dtype: int64
  - name: options
    struct:
    - name: '1'
      dtype: string
    - name: '2'
      dtype: string
    - name: '3'
      dtype: string
    - name: '4'
      dtype: string
  - name: question
    dtype: string
  - name: opa
    dtype: string
  - name: opb
    dtype: string
  - name: opc
    dtype: string
  - name: opd
    dtype: string
  - name: cop
    dtype: int64
  - name: full_question
    dtype: string
  splits:
  - name: train
    num_bytes: 18301901
    num_examples: 10178
  download_size: 10676640
  dataset_size: 18301901
- config_name: validation
  features:
  - name: id
    dtype: string
  - name: subject_name
    dtype: string
  - name: correct_answer
    dtype: string
  - name: correct_option
    dtype: int64
  - name: options
    struct:
    - name: '1'
      dtype: string
    - name: '2'
      dtype: string
    - name: '3'
      dtype: string
    - name: '4'
      dtype: string
  - name: question
    dtype: string
  - name: opa
    dtype: string
  - name: opb
    dtype: string
  - name: opc
    dtype: string
  - name: opd
    dtype: string
  - name: cop
    dtype: int64
  - name: full_question
    dtype: string
  splits:
  - name: train
    num_bytes: 2289926
    num_examples: 1272
  download_size: 1349289
  dataset_size: 2289926
configs:
- config_name: test
  data_files:
  - split: train
    path: test/train-*
- config_name: train
  data_files:
  - split: train
    path: train/train-*
- config_name: validation
  data_files:
  - split: train
    path: validation/train-*
---

This dataset is presented in 
```
@misc{ferrazzi2025groundedmultilingualmedicalreasoning,
      title={Grounded Multilingual Medical Reasoning for Question Answering with Large Language Models}, 
      author={Pietro Ferrazzi and Aitor Soroa and Rodrigo Agerri},
      year={2025},
      eprint={2512.05658},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2512.05658}, 
}
```