Hugging Face's logo

Datasets:
embedding-data
/
simple-wiki

Tasks:
Sentence Similarity
Sub-tasks:
semantic-similarity-classification
Languages:
English
Tags:
License:
Dataset card Viewer Files Community
1
simple-wiki
File size: 4,164 Bytes 
20f7d63
 
3f80d62
 
 
 
ce219b5
 
 
 
 
20f7d63
3f80d62
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9c53f67
 
 
 
3f80d62
 
ce219b5
3f80d62
ce219b5
 
3f80d62
ce219b5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3f80d62
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
bdee1d3
 
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
 
---
license: mit
language:
- en
paperswithcode_id: embedding-data/simple-wiki
pretty_name: simple-wiki
task_categories:
- sentence-similarity
- paraphrase-mining
task_ids:
- semantic-similarity-classification
---

# Dataset Card for "simple-wiki"

## 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:** [https://cs.pomona.edu/~dkauchak/simplification/](https://cs.pomona.edu/~dkauchak/simplification/)
- **Repository:** [More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)
- **Paper:** [https://aclanthology.org/P11-2117/](https://aclanthology.org/P11-2117/)
- **Point of Contact:** [David Kauchak](dkauchak@cs.pomona.edu)

### Dataset Summary
This dataset contains pairs of equivalent sentences obtained from Wikipedia.

### Supported Tasks
- [Sentence Transformers](https://huggingface.co/sentence-transformers) training; useful for semantic search and sentence similarity. 
### Languages
- English.
## Dataset Structure
Each example in the dataset contains pairs of equivalent sentences and is formatted as a dictionary with the key "set" and a list with the sentences as "value".
```
{"set": [sentence_1, sentence_2]}
{"set": [sentence_1, sentence_2]}
...
{"set": [sentence_1, sentence_2]}
```
This dataset is useful for training Sentence Transformers models. Refer to the following post on how to train models using similar sentences.
### Usage Example
Install the 🤗 Datasets library with `pip install datasets` and load the dataset from the Hub with:
```python
from datasets import load_dataset
dataset = load_dataset("embedding-data/simple-wiki")
```
The dataset is loaded as a `DatasetDict` and has the format:
```python
DatasetDict({
    train: Dataset({
        features: ['set'],
        num_rows: 102225
    })
})
```
Review an example `i` with:
```python
dataset["train"][i]["set"]
```

### Curation Rationale

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

#### Who are the source language producers?

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

### Annotations

#### Annotation process

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

#### Who are the annotators?

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

### Personal and Sensitive Information

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

### Discussion of Biases

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

### Other Known Limitations

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

## Additional Information

### Dataset Curators

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

### Licensing Information

[More Information Needed](https://cs.pomona.edu/~dkauchak/simplification/)

### Contributions