Hugging Face's logo

Datasets:
patriziobellan
/
PET

Tasks:
Token Classification
Languages:
English
Size:
n<1K
ArXiv:
Tags:
Business Process Management
NLP
ML
DL
License:
Dataset card Files Community
6
PET
File size: 3,045 Bytes 
5e07f87
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5d4aa2b
5e07f87
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5d4aa2b
5e07f87
 
 
 
5d4aa2b
5e07f87
 
 
5d4aa2b
5e07f87
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5d4aa2b
5e07f87
 
 
5d4aa2b
5e07f87
 
 
 
 
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
 
annotations_creators:
- expert-generated
language_creators:
- expert-generated
languages:
- en-US
licenses:
- mit
multilinguality:
- monolingual
pretty_name: PET
size_categories:
- 1K<n<10K
source_datasets: 
  [Friedrich et al. original dataset]
task_categories:
- token-classification
- other
task_ids:
- named-entity-recognition


# Dataset Card for PET

## Table of Contents
- [Table of Contents](#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://pdi.fbk.eu/pet-dataset/
- **Repository:** 
- **Paper:** https://arxiv.org/abs/2203.04860
- **Leaderboard:**
- **Point of Contact:** pbellan@fbk.eu

### Dataset Summary

[More Information Needed]

### Supported Tasks and Leaderboards

Named Entity Recognition, Relation Extraction

### Languages

English

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

[More Information Needed]

### Data Splits

Testing Dataset only

## Dataset Creation

### Curation Rationale

[More Information Needed]

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed]

#### Who are the source language producers?

English

### Annotations

#### Annotation process
You can read about the annotation process in the original paper https://arxiv.org/abs/2203.04860

#### Who are the annotators?

Expert Annotators

### 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

Patrizio Bellan, Mauro Dragoni, Chiara Ghidini, Han van der Aa, Simone Ponzetto
[More Information Needed]

### Licensing Information

MIT

### Citation Information

Bellan, Patrizio et al. “PET: A new Dataset for Process Extraction from Natural Language Text.” ArXiv abs/2203.04860 (2022)

### Contributions

Thanks to Patrizio Bellan for adding this dataset.