Datasets:

Languages:
Urdu
Multilinguality:
monolingual
Size Categories:
n<1K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
Tags:
License:
File size: 3,671 Bytes
d67f9a1
 
9acee62
d67f9a1
9acee62
9dde2ab
9acee62
9dde2ab
9acee62
d67f9a1
9acee62
d67f9a1
9acee62
d67f9a1
9acee62
d67f9a1
9acee62
d67f9a1
9acee62
 
b8e7d3c
16e3105
 
 
 
 
 
 
 
ba31614
 
16e3105
 
 
 
ba31614
 
 
 
 
16e3105
 
 
 
da9f9bd
 
 
16e3105
 
d67f9a1
 
 
 
 
 
 
9acee62
d67f9a1
 
 
9acee62
 
d67f9a1
 
 
 
 
 
 
 
 
 
 
 
 
9131918
d67f9a1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9131918
 
 
16e3105
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
---
annotations_creators:
- expert-generated
language_creators:
- expert-generated
language:
- ur
license:
- unknown
multilinguality:
- monolingual
size_categories:
- n<1K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- fact-checking
- intent-classification
pretty_name: Bend the Truth (Urdu Fake News)
dataset_info:
  features:
  - name: news
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': Fake
          '1': Real
  - name: category
    dtype:
      class_label:
        names:
          '0': bus
          '1': hlth
          '2': sp
          '3': tch
          '4': sbz
  splits:
  - name: train
    num_bytes: 1762905
    num_examples: 638
  - name: test
    num_bytes: 799587
    num_examples: 262
  download_size: 1042653
  dataset_size: 2562492
---

# Dataset Card for Bend the Truth (Urdu Fake News)

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)

## Dataset Description

- **Homepage:** [Github](https://github.com/MaazAmjad/Datasets-for-Urdu-news/)
- **Repository:** [Github](https://github.com/MaazAmjad/Datasets-for-Urdu-news/)
- **Paper:**
- **Leaderboard:**
- **Point of Contact:** [Maaz Amjad](https://github.com/MaazAmjad)

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

[More Information Needed]

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

- news: a string in urdu
- label: the label indicating whethere the provided news is real or fake.
- category: The intent of the news being presented. The available 5 classes are Sports, Health, Technology, Entertainment, and Business.

### Data Splits

[More Information Needed]

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

[More Information Needed]

### Annotations

#### Annotation process

[More Information Needed]

#### Who are the annotators?

[More Information Needed]

### Personal and Sensitive Information

[More Information Needed]

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed]

### Discussion of Biases

[More Information Needed]

### Other Known Limitations

[More Information Needed]

## Additional Information

### Dataset Curators

[More Information Needed]

### Licensing Information

[More Information Needed]

### Citation Information

[More Information Needed]

### Contributions

Thanks to [@chaitnayabasava](https://github.com/chaitnayabasava) for adding this dataset.