Commit
•
abdacc9
1
Parent(s):
a59253e
added first version of lextreme benchmark
Browse files- README.md +179 -0
- lextreme.py +2140 -0
README.md
ADDED
@@ -0,0 +1,179 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
annotations_creators:
|
3 |
+
- other
|
4 |
+
language_creators:
|
5 |
+
- found
|
6 |
+
language:
|
7 |
+
- bg
|
8 |
+
- cs
|
9 |
+
- da
|
10 |
+
- de
|
11 |
+
- el
|
12 |
+
- en
|
13 |
+
- es
|
14 |
+
- et
|
15 |
+
- fi
|
16 |
+
- fr
|
17 |
+
- ga
|
18 |
+
- hr
|
19 |
+
- hu
|
20 |
+
- it
|
21 |
+
- lt
|
22 |
+
- lv
|
23 |
+
- mt
|
24 |
+
- nl
|
25 |
+
- pl
|
26 |
+
- pt
|
27 |
+
- ro
|
28 |
+
- sk
|
29 |
+
- sl
|
30 |
+
- sv
|
31 |
+
license:
|
32 |
+
- cc-by-4.0
|
33 |
+
multilinguality:
|
34 |
+
- multilingual
|
35 |
+
paperswithcode_id: null
|
36 |
+
pretty_name: LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding
|
37 |
+
size_categories:
|
38 |
+
- 1K<n<100K
|
39 |
+
source_datasets:
|
40 |
+
- original
|
41 |
+
task_categories:
|
42 |
+
- text-classification
|
43 |
+
- token-classification
|
44 |
+
task_ids:
|
45 |
+
- multi-class-classification
|
46 |
+
- multi-label-classification
|
47 |
+
- topic-classification
|
48 |
+
- text-classification-other-judgement-prediction
|
49 |
+
- named-entity-recognition
|
50 |
+
- named entity recognition and classification (NERC)
|
51 |
+
|
52 |
+
---
|
53 |
+
|
54 |
+
# Dataset Card for LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding
|
55 |
+
|
56 |
+
## Table of Contents
|
57 |
+
|
58 |
+
- [Table of Contents](#table-of-contents)
|
59 |
+
- [Dataset Description](#dataset-description)
|
60 |
+
- [Dataset Summary](#dataset-summary)
|
61 |
+
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
62 |
+
- [Languages](#languages)
|
63 |
+
- [Dataset Structure](#dataset-structure)
|
64 |
+
- [Data Instances](#data-instances)
|
65 |
+
- [Data Fields](#data-fields)
|
66 |
+
- [Data Splits](#data-splits)
|
67 |
+
- [Dataset Creation](#dataset-creation)
|
68 |
+
- [Curation Rationale](#curation-rationale)
|
69 |
+
- [Source Data](#source-data)
|
70 |
+
- [Annotations](#annotations)
|
71 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
72 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
73 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
|
74 |
+
- [Discussion of Biases](#discussion-of-biases)
|
75 |
+
- [Other Known Limitations](#other-known-limitations)
|
76 |
+
- [Additional Information](#additional-information)
|
77 |
+
- [Dataset Curators](#dataset-curators)
|
78 |
+
- [Licensing Information](#licensing-information)
|
79 |
+
- [Citation Information](#citation-information)
|
80 |
+
- [Contributions](#contributions)
|
81 |
+
|
82 |
+
## Dataset Description
|
83 |
+
|
84 |
+
- **Homepage:**
|
85 |
+
- **Repository:**
|
86 |
+
- **Paper:**
|
87 |
+
- **Leaderboard:**
|
88 |
+
- **Point of Contact:** [Joel Niklaus](joel.niklaus.2@bfh.ch)
|
89 |
+
|
90 |
+
### Dataset Summary
|
91 |
+
|
92 |
+
The dataset consists of 11 diverse multilingual legal NLU tasks. 6 tasks have one single configuration and 5 tasks have two or three configurations. This leads to a total of 18 tasks (8 single-label text classification tasks, 5 multi-label text classification tasks and 5 token-classification tasks).
|
93 |
+
|
94 |
+
### Supported Tasks and Leaderboards
|
95 |
+
|
96 |
+
The dataset supports the tasks of text classification and token classification.
|
97 |
+
|
98 |
+
### Languages
|
99 |
+
|
100 |
+
The following languages are supported: bg , cs , da, de, el, en, es, et, fi, fr, ga, hr, hu, it, lt, lv, mt, nl, pl, pt, ro, sk, sl, sv
|
101 |
+
|
102 |
+
## Dataset Structure
|
103 |
+
|
104 |
+
### Data Instances
|
105 |
+
|
106 |
+
The file format is jsonl and three data splits are present for each configuration (train, validation and test).
|
107 |
+
|
108 |
+
### Data Fields
|
109 |
+
|
110 |
+
[More Information Needed]
|
111 |
+
|
112 |
+
### Data Splits
|
113 |
+
|
114 |
+
[More Information Needed]
|
115 |
+
|
116 |
+
## Dataset Creation
|
117 |
+
|
118 |
+
### Curation Rationale
|
119 |
+
|
120 |
+
[More Information Needed]
|
121 |
+
|
122 |
+
### Source Data
|
123 |
+
|
124 |
+
#### Initial Data Collection and Normalization
|
125 |
+
|
126 |
+
[More Information Needed]
|
127 |
+
|
128 |
+
#### Who are the source language producers?
|
129 |
+
|
130 |
+
[More Information Needed]
|
131 |
+
|
132 |
+
|
133 |
+
### Annotations
|
134 |
+
|
135 |
+
#### Annotation process
|
136 |
+
|
137 |
+
[More Information Needed]
|
138 |
+
|
139 |
+
#### Who are the annotators?
|
140 |
+
|
141 |
+
[More Information Needed]
|
142 |
+
|
143 |
+
### Personal and Sensitive Information
|
144 |
+
|
145 |
+
[More Information Needed]
|
146 |
+
|
147 |
+
## Considerations for Using the Data
|
148 |
+
|
149 |
+
### Social Impact of Dataset
|
150 |
+
|
151 |
+
[More Information Needed]
|
152 |
+
|
153 |
+
### Discussion of Biases
|
154 |
+
|
155 |
+
[More Information Needed]
|
156 |
+
|
157 |
+
### Other Known Limitations
|
158 |
+
|
159 |
+
[More Information Needed]
|
160 |
+
|
161 |
+
## Additional Information
|
162 |
+
|
163 |
+
### Dataset Curators
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
### Licensing Information
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
### Citation Information
|
172 |
+
|
173 |
+
```
|
174 |
+
TODO add citation
|
175 |
+
```
|
176 |
+
|
177 |
+
### Contributions
|
178 |
+
|
179 |
+
Thanks to [@JoelNiklaus](https://github.com/joelniklaus) for adding this dataset.
|
lextreme.py
ADDED
@@ -0,0 +1,2140 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# coding=utf-8
|
2 |
+
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
|
3 |
+
#
|
4 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
5 |
+
# you may not use this file except in compliance with the License.
|
6 |
+
# You may obtain a copy of the License at
|
7 |
+
#
|
8 |
+
# http://www.apache.org/licenses/LICENSE-2.0
|
9 |
+
#
|
10 |
+
# Unless required by applicable law or agreed to in writing, software
|
11 |
+
# distributed under the License is distributed on an "AS IS" BASIS,
|
12 |
+
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
13 |
+
# See the License for the specific language governing permissions and
|
14 |
+
# limitations under the License.
|
15 |
+
|
16 |
+
|
17 |
+
"""LexGLUE: A Benchmark Dataset for Legal Language Understanding in English."""
|
18 |
+
|
19 |
+
import textwrap
|
20 |
+
import datasets
|
21 |
+
|
22 |
+
from datasets import ClassLabel
|
23 |
+
|
24 |
+
from enum import Enum
|
25 |
+
|
26 |
+
|
27 |
+
class TaskType(Enum):
|
28 |
+
NER = "Named Entity Recognition"
|
29 |
+
SLTC = "Single Label Text Classification"
|
30 |
+
MLTC = "Multi Label Text Classification"
|
31 |
+
|
32 |
+
|
33 |
+
MAIN_CITATION = """
|
34 |
+
TODO add citation
|
35 |
+
"""
|
36 |
+
|
37 |
+
_DESCRIPTION = """
|
38 |
+
The LEXTREME Benchmark is a collection of multilingual datasets for evaluating model performance
|
39 |
+
across a diverse set of legal NLU tasks.
|
40 |
+
"""
|
41 |
+
|
42 |
+
|
43 |
+
class LextremeConfig(datasets.BuilderConfig):
|
44 |
+
"""BuilderConfig for LEXTREME."""
|
45 |
+
|
46 |
+
def __init__(
|
47 |
+
self,
|
48 |
+
input_col,
|
49 |
+
label_col,
|
50 |
+
url,
|
51 |
+
citation,
|
52 |
+
hf_hub_name,
|
53 |
+
config_name="default",
|
54 |
+
label_classes=None,
|
55 |
+
task_type=None,
|
56 |
+
**kwargs,
|
57 |
+
):
|
58 |
+
"""BuilderConfig for LEXTREME.
|
59 |
+
Args:
|
60 |
+
input_col: ``string`, name of the column in the jsonl file corresponding
|
61 |
+
to the input
|
62 |
+
label_col: `string`, name of the column in the jsonl file corresponding
|
63 |
+
to the label
|
64 |
+
url: `string`, url for the original project
|
65 |
+
citation: `string`, citation for the data set
|
66 |
+
hf_hub_name: `string`, huggingface dataset identifier
|
67 |
+
config_name: `string`, huggingface dataset config name
|
68 |
+
label_classes: `list[string]`, the list of classes if the label is
|
69 |
+
categorical. If not provided, then the label will be of type
|
70 |
+
`datasets.Value('float32')`.
|
71 |
+
task_type: `TaskType`, the task type of the dataset
|
72 |
+
**kwargs: keyword arguments forwarded to super.
|
73 |
+
"""
|
74 |
+
super(LextremeConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
|
75 |
+
self.input_col = input_col
|
76 |
+
self.label_col = label_col
|
77 |
+
self.url = url
|
78 |
+
self.description = textwrap.dedent(self.description)
|
79 |
+
self.citation = textwrap.dedent(citation)
|
80 |
+
self.hf_hub_name = hf_hub_name
|
81 |
+
self.config_name = config_name
|
82 |
+
self.label_classes = label_classes
|
83 |
+
self.task_type = task_type
|
84 |
+
|
85 |
+
|
86 |
+
_BRAZILIAN_COURT_DECISIONS_JUDGMENT = {
|
87 |
+
"task_type": TaskType.SLTC,
|
88 |
+
"hf_hub_name": "joelito/brazilian_court_decisions",
|
89 |
+
"input_col": "decision_description",
|
90 |
+
"label_col": "judgment_label",
|
91 |
+
"url": "https://github.com/lagefreitas/predicting-brazilian-court-decisions",
|
92 |
+
"description":
|
93 |
+
"""
|
94 |
+
The dataset is a collection of 4043 Ementa (summary) court decisions and their metadata from the Tribunal de Justiça de Alagoas (TJAL, the State Supreme Court of Alagoas (Brazil). The court decisions are labeled according to 7 categories and whether the decisions were unanimous on the part of the judges or not. The dataset supports the task of Legal Judgment Prediction.
|
95 |
+
"""
|
96 |
+
,
|
97 |
+
"citation":
|
98 |
+
"""
|
99 |
+
@article{Lage-Freitas2022,
|
100 |
+
author = {Lage-Freitas, Andr{\'{e}} and Allende-Cid, H{\'{e}}ctor and Santana, Orivaldo and Oliveira-Lage, L{\'{i}}via},
|
101 |
+
doi = {10.7717/peerj-cs.904},
|
102 |
+
issn = {2376-5992},
|
103 |
+
journal = {PeerJ. Computer science},
|
104 |
+
keywords = {Artificial intelligence,Jurimetrics,Law,Legal,Legal NLP,Legal informatics,Legal outcome forecast,Litigation prediction,Machine learning,NLP,Portuguese,Predictive algorithms,judgement prediction},
|
105 |
+
language = {eng},
|
106 |
+
month = {mar},
|
107 |
+
pages = {e904--e904},
|
108 |
+
publisher = {PeerJ Inc.},
|
109 |
+
title = {{Predicting Brazilian Court Decisions}},
|
110 |
+
url = {https://pubmed.ncbi.nlm.nih.gov/35494851 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044329/},
|
111 |
+
volume = {8},
|
112 |
+
year = {2022}
|
113 |
+
}
|
114 |
+
"""
|
115 |
+
,
|
116 |
+
"label_classes": ["no", "partial", "yes"],
|
117 |
+
}
|
118 |
+
_BRAZILIAN_COURT_DECISIONS_UNANIMITY = {
|
119 |
+
**_BRAZILIAN_COURT_DECISIONS_JUDGMENT,
|
120 |
+
"label_col": "unanimity_label",
|
121 |
+
"label_classes": ["unanimity", "not-unanimity"],
|
122 |
+
}
|
123 |
+
_SWISS_JUDGMENT_PREDICTION = {
|
124 |
+
"task_type": TaskType.SLTC,
|
125 |
+
"hf_hub_name": "swiss_judgment_prediction",
|
126 |
+
"config_name": "all_languages",
|
127 |
+
"input_col": "text",
|
128 |
+
"label_col": "label",
|
129 |
+
"url": "https://github.com/JoelNiklaus/SwissCourtRulingCorpus",
|
130 |
+
"description":
|
131 |
+
"""
|
132 |
+
Swiss-Judgment-Prediction is a multilingual, diachronic dataset of 85K Swiss Federal Supreme Court (FSCS) cases annotated with the respective binarized judgment outcome (approval/dismissal), posing a challenging text classification task. We also provide additional metadata, i.e., the publication year, the legal area and the canton of origin per case, to promote robustness and fairness studies on the critical area of legal NLP.
|
133 |
+
"""
|
134 |
+
,
|
135 |
+
"citation":
|
136 |
+
"""
|
137 |
+
@InProceedings{niklaus-etal-2021-swiss,
|
138 |
+
author = {Niklaus, Joel
|
139 |
+
and Chalkidis, Ilias
|
140 |
+
and Stürmer, Matthias},
|
141 |
+
title = {Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark},
|
142 |
+
booktitle = {Proceedings of the 2021 Natural Legal Language Processing Workshop},
|
143 |
+
year = {2021},
|
144 |
+
location = {Punta Cana, Dominican Republic},
|
145 |
+
}
|
146 |
+
"""
|
147 |
+
,
|
148 |
+
"label_classes": ["dismissal", "approval"],
|
149 |
+
}
|
150 |
+
_GERMAN_ARGUMENT_MINING = {
|
151 |
+
"task_type": TaskType.SLTC,
|
152 |
+
"hf_hub_name": "joelito/german_argument_mining",
|
153 |
+
"input_col": "input_sentence",
|
154 |
+
"label_col": "label",
|
155 |
+
"url": "https://zenodo.org/record/3936490#.X1ed7ovgomK",
|
156 |
+
"description":
|
157 |
+
"""
|
158 |
+
This dataset consists of 200 randomly chosen judgments. In these judgments a legal expert annotated the components conclusion, definition and subsumption of the German legal writing style Urteilsstil.
|
159 |
+
"""
|
160 |
+
,
|
161 |
+
"citation":
|
162 |
+
"""
|
163 |
+
@conference{icaart21,
|
164 |
+
author = {Urchs., Stefanie and Mitrovi{\'{c}}., Jelena and Granitzer., Michael},
|
165 |
+
booktitle = {Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
|
166 |
+
doi = {10.5220/0010187305150521},
|
167 |
+
isbn = {978-989-758-484-8},
|
168 |
+
issn = {2184-433X},
|
169 |
+
organization = {INSTICC},
|
170 |
+
pages = {515--521},
|
171 |
+
publisher = {SciTePress},
|
172 |
+
title = {{Design and Implementation of German Legal Decision Corpora}},
|
173 |
+
year = {2021}
|
174 |
+
}
|
175 |
+
"""
|
176 |
+
,
|
177 |
+
"label_classes": ["conclusion", "definition", "subsumption", "other"],
|
178 |
+
}
|
179 |
+
_GREEK_LEGAL_CODE_VOLUME = {
|
180 |
+
"task_type": TaskType.SLTC,
|
181 |
+
"hf_hub_name": "greek_legal_code",
|
182 |
+
"config_name": "volume",
|
183 |
+
"input_col": "text",
|
184 |
+
"label_col": "label",
|
185 |
+
"url": "https://github.com/christospi/glc-nllp-21",
|
186 |
+
"description":
|
187 |
+
"""
|
188 |
+
Greek_Legal_Code (GLC) is a dataset consisting of approx. 47k legal resources from Greek legislation. The origin of GLC is “Permanent Greek Legislation Code - Raptarchis”, a collection of Greek legislative documents classified into multi-level (from broader to more specialized) categories.
|
189 |
+
"""
|
190 |
+
,
|
191 |
+
"citation":
|
192 |
+
"""
|
193 |
+
@inproceedings{papaloukas-etal-2021-glc,
|
194 |
+
title = "Multi-granular Legal Topic Classification on Greek Legislation",
|
195 |
+
author = "Papaloukas, Christos and Chalkidis, Ilias and Athinaios, Konstantinos and Pantazi, Despina-Athanasia and Koubarakis, Manolis",
|
196 |
+
booktitle = "Proceedings of the 3rd Natural Legal Language Processing (NLLP) Workshop",
|
197 |
+
year = "2021",
|
198 |
+
address = "Punta Cana, Dominican Republic",
|
199 |
+
publisher = "",
|
200 |
+
url = "https://arxiv.org/abs/2109.15298",
|
201 |
+
doi = "",
|
202 |
+
pages = ""
|
203 |
+
}
|
204 |
+
"""
|
205 |
+
,
|
206 |
+
"label_classes": [
|
207 |
+
"ΚΟΙΝΩΝΙΚΗ ΠΡΟΝΟΙΑ",
|
208 |
+
"ΓΕΩΡΓΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
209 |
+
"ΡΑΔΙΟΦΩΝΙΑ ΚΑΙ ΤΥΠΟΣ",
|
210 |
+
"ΒΙΟΜΗΧΑΝΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
211 |
+
"ΥΓΕΙΟΝΟΜΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
212 |
+
"ΠΟΛΕΜΙΚΟ ΝΑΥΤΙΚΟ",
|
213 |
+
"ΤΑΧΥΔΡΟΜΕΙΑ - ΤΗΛΕΠΙΚΟΙΝΩΝΙΕΣ",
|
214 |
+
"ΔΑΣΗ ΚΑΙ ΚΤΗΝΟΤΡΟΦΙΑ",
|
215 |
+
"ΕΛΕΓΚΤΙΚΟ ΣΥΝΕΔΡΙΟ ΚΑΙ ΣΥΝΤΑΞΕΙΣ",
|
216 |
+
"ΠΟΛΕΜΙΚΗ ΑΕΡΟΠΟΡΙΑ",
|
217 |
+
"ΝΟΜΙΚΑ ΠΡΟΣΩΠΑ ΔΗΜΟΣΙΟΥ ΔΙΚΑΙΟΥ",
|
218 |
+
"ΝΟΜΟΘΕΣΙΑ ΑΝΩΝΥΜΩΝ ΕΤΑΙΡΕΙΩΝ ΤΡΑΠΕΖΩΝ ΚΑΙ ΧΡΗΜΑΤΙΣΤΗΡΙΩΝ",
|
219 |
+
"ΠΟΛΙΤΙΚΗ ΑΕΡΟΠΟΡΙΑ",
|
220 |
+
"ΕΜΜΕΣΗ ΦΟΡΟΛΟΓΙΑ",
|
221 |
+
"ΚΟΙΝΩΝΙΚΕΣ ΑΣΦΑΛΙΣΕΙΣ",
|
222 |
+
"ΝΟΜΟΘΕΣΙΑ ΔΗΜΩΝ ΚΑΙ ΚΟΙΝΟΤΗΤΩΝ",
|
223 |
+
"ΝΟΜΟΘΕΣΙΑ ΕΠΙΜΕΛΗΤΗΡΙΩΝ ΣΥΝΕΤΑΙΡΙΣΜΩΝ ΚΑΙ ΣΩΜΑΤΕΙΩΝ",
|
224 |
+
"ΔΗΜΟΣΙΑ ΕΡΓΑ",
|
225 |
+
"ΔΙΟΙΚΗΣΗ ΔΙΚΑΙΟΣΥΝΗΣ",
|
226 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ",
|
227 |
+
"ΕΚΚΛΗΣΙΑΣΤΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
228 |
+
"ΕΚΠΑΙΔΕΥΤΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
229 |
+
"ΔΗΜΟΣΙΟ ΛΟΓΙΣΤΙΚΟ",
|
230 |
+
"ΤΕΛΩΝΕΙΑΚΗ ΝΟΜΟΘΕΣΙΑ",
|
231 |
+
"ΣΥΓΚΟΙΝΩΝΙΕΣ",
|
232 |
+
"ΕΘΝΙΚΗ ΑΜΥΝΑ",
|
233 |
+
"ΣΤΡΑΤΟΣ ΞΗΡΑΣ",
|
234 |
+
"ΑΓΟΡΑΝΟΜΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
235 |
+
"ΔΗΜΟΣΙΟΙ ΥΠΑΛΛΗΛΟΙ",
|
236 |
+
"ΠΕΡΙΟΥΣΙΑ ΔΗΜΟΣΙΟΥ ΚΑΙ ΝΟΜΙΣΜΑ",
|
237 |
+
"ΟΙΚΟΝΟΜΙΚΗ ΔΙΟΙΚΗΣΗ",
|
238 |
+
"ΛΙΜΕΝΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
239 |
+
"ΑΣΤΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
240 |
+
"ΠΟΛΙΤΙΚΗ ΔΙΚΟΝΟΜΙΑ",
|
241 |
+
"ΔΙΠΛΩΜΑΤΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
242 |
+
"ΔΙΟΙΚΗΤΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
243 |
+
"ΑΜΕΣΗ ΦΟΡΟΛΟΓΙΑ",
|
244 |
+
"ΤΥΠΟΣ ΚΑΙ ΤΟΥΡΙΣΜΟΣ",
|
245 |
+
"ΕΘΝΙΚΗ ΟΙΚΟΝΟΜΙΑ",
|
246 |
+
"ΑΣΤΥΝΟΜΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
247 |
+
"ΑΓΡΟΤΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
248 |
+
"ΕΡΓΑΤΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
249 |
+
"ΠΟΙΝΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
250 |
+
"ΕΜΠΟΡΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
251 |
+
"ΕΠΙΣΤΗΜΕΣ ΚΑΙ ΤΕΧΝΕΣ",
|
252 |
+
"ΕΜΠΟΡΙΚΗ ΝΑΥΤΙΛΙΑ",
|
253 |
+
"ΣΥΝΤΑΓΜΑΤΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
254 |
+
],
|
255 |
+
}
|
256 |
+
_GREEK_LEGAL_CODE_CHAPTER = {
|
257 |
+
**_GREEK_LEGAL_CODE_VOLUME,
|
258 |
+
"config_name": "chapter",
|
259 |
+
"label_classes": [
|
260 |
+
"ΜΕΤΑΛΛΕΙΑ ΚΑΙ ΟΡΥΧΕΙΑ",
|
261 |
+
"ΣΤΑΤΙΩΤΙΚΕΣ ΣΧΟΛΕΣ",
|
262 |
+
"ΠΑΡΟΧΕΣ ΑΝΕΡΓΙΑΣ",
|
263 |
+
"ΣΙΔΗΡΟΔΡΟΜΙΚΑ ΔΙΚΤΥΑ",
|
264 |
+
"ΕΙΔΙΚΑ ΣΤΡΑΤΙΩΤΙΚΑ ΑΔΙΚΗΜΑΤΑ",
|
265 |
+
"ΚΡΑΤΙΚΕΣ ΠΡΟΜΗΘΕΙΕΣ",
|
266 |
+
"ΑΓΡΟΤΙΚΗ ΑΠΟΚΑΤΑΣΤΑΣΗ",
|
267 |
+
"ΑΞΙΩΜΑΤΙΚΟΙ ΠΟΛΕΜΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
268 |
+
"ΣΧΕΔΙΑ ΠΟΛΕΩΝ",
|
269 |
+
"ΣΥΚΑ",
|
270 |
+
"ΠΡΟΛΗΨΙΣ ΚΑΙ ΔΙΩΞΙΣ ΤΟΥ ΕΓΚΛΗΜΑΤΟΣ",
|
271 |
+
"ΔΙΕΘΝΕΙΣ ΜΕΤΑΦΟΡΕΣ",
|
272 |
+
"ΓΕΝΙΚΗ ΣΥΓΚΟΙΝΩΝΙΑ ΚΑΙ ΔΙΑΤΑΞΕΙΣ",
|
273 |
+
"ΚΛΗΡΟΝΟΜΙΚΟ ΔΙΚΑΙΟ",
|
274 |
+
"ΚΟΙΝΩΝΙΚΗ ΑΝΤΙΛΗΨΗ",
|
275 |
+
"ΝΑΥΤΙΛΙΑΚΕΣ ΣΗΜΑΝΣΕΙΣ",
|
276 |
+
"ΔΙΕΘΝΕΣ ΠΟΙΝΙΚΟ ΔΙΚΑΙΟ",
|
277 |
+
"ΑΣΦΑΛΙΣΤΙΚΟΙ ΟΡΓΑΝΙΣΜΟΙ Ε.Ν",
|
278 |
+
"ΣΩΜΑΤΙΚΗ ΑΓΩΓΗ",
|
279 |
+
"ΣΠΟΡΟΠΑΡΑΓΩΓΗ",
|
280 |
+
"ΥΠΗΡΕΣΙΑΙ ΔΗΜΟΣΙΩΝ ΕΡΓΩΝ",
|
281 |
+
"ΤΑΜΕΙΑ ΣΥΝΤΑΞΕΩΝ ΤΡΑΠΕΖΩΝ",
|
282 |
+
"ΠΥΡΟΣΒΕΣΤΙΚΟ ΣΩΜΑ",
|
283 |
+
"ΔΙΑΦΟΡΕΣ ΒΙΟΜΗΧΑΝΙΕΣ",
|
284 |
+
"ΕΚΤΕΛΕΣΗ ΚΑΙ ΣΥΝΕΠΕΙΕΣ ΤΗΣ ΠΟΙΝΗΣ",
|
285 |
+
"ΔΙΕΘΝΕΙΣ ΑΣΦΑΛΙΣΤΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
286 |
+
"ΝΟΜΟΘΕΣΙΑ",
|
287 |
+
"ΒΑΜΒΑΚΙ",
|
288 |
+
"ΠΑΡΟΧΕΣ ΣΥΝΤΑΞΕΩΝ",
|
289 |
+
"ΝΟΜΙΣΜΑ",
|
290 |
+
"ΣΥΜΒΑΣΗ ΝΑΥΤΙΚΗΣ ΕΡΓΑΣΙΑΣ",
|
291 |
+
"ΟΡΓΑΝΙΣΜΟΊ ΚΟΙΝΩΝΙΚΉΣ ΑΣΦΑΛΊΣΕΩΣ",
|
292 |
+
"ΑΓΡΟΤΙΚΗ ΑΣΦΑΛΕΙΑ",
|
293 |
+
"ΥΓΕΙΟΝΟΜΙΚΟΣ ΕΛΕΓΧΟΣ ΕΙΣΕΡΧΟΜΕΝΩΝ",
|
294 |
+
"ΜΟΥΣΕΙΑ ΚΑΙ ΣΥΛΛΟΓΕΣ",
|
295 |
+
"ΠΡΟΣΩΠΙΚΟ Ι.Κ.Α",
|
296 |
+
"ΞΕΝΟΔΟΧΕΙΑ",
|
297 |
+
"ΚΡΑΤΙΚΗ ΑΣΦΑΛΕΙΑ",
|
298 |
+
"ΣΥΝΕΤΑΙΡΙΣΜΟΙ",
|
299 |
+
"ΠΟΛΥΕΘΝΕΙΣ ΣΥΜΦΩΝΙΕΣ",
|
300 |
+
"ΕΤΕΡΟΔΟΞΟΙ",
|
301 |
+
"ΜΕΣΗ ΕΚΠΑΙΔΕΥΣΙΣ",
|
302 |
+
"ΓΕΩΡΓΙΚΟΙ ΟΡΓΑΝΙΣΜΟΙ",
|
303 |
+
"ΓΕΝΙΚΟ ΛΟΓΙΣΤΗΡΙΟ",
|
304 |
+
"ΡΥΘΜΙΣΗ ΤΗΣ ΑΓΟΡΑΣ ΕΡΓΑΣΙΑΣ",
|
305 |
+
"ΠΑΡΟΧΟΙ ΚΙΝΗΤΩΝ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ",
|
306 |
+
"ΕΜΠΡΑΓΜΑΤΟΣ ΑΣΦΑΛΕΙΑ",
|
307 |
+
"ΦΟΡΟΛΟΓΙΑ ΑΚΑΘΑΡΙΣΤΟΥ ΠΡΟΣΟΔΟΥ",
|
308 |
+
"ΚΤΗΜΑΤΙΚΕΣ ΤΡΑΠΕΖΕΣ",
|
309 |
+
"ΣΤΑΤΙΣΤΙΚΗ",
|
310 |
+
"ΚΕΡΑΙΕΣ – ΣΤΑΘΜΟΙ ΚΕΡΑΙΩΝ",
|
311 |
+
"ΠΟΙΝΙΚΟΣ ΝΟΜΟΣ",
|
312 |
+
"ΜΕΣΑ ΔΙΔΑΣΚΑΛΙΑΣ",
|
313 |
+
"ΕΜΠΟΡΙΟ ΦΑΡΜΑΚΩΝ",
|
314 |
+
"ΔΙΑΦΟΡΑ",
|
315 |
+
"ΔΗΜΟΣΙΑ ΚΤΗΜΑΤΑ",
|
316 |
+
"ΕΙΣΦΟΡΕΣ Ι.Κ.Α",
|
317 |
+
"ΚΑΤΑΓΓΕΛΙΑ ΣΥΜΒΑΣΕΩΣ ΕΡΓΑΣΙΑΣ",
|
318 |
+
"ΠΡΟΣΩΠΙΚΟ ΠΟΛΙΤΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
319 |
+
"ΔΗΜΟΣΙΟ ΧΡΕΟΣ",
|
320 |
+
"ΑΠΟΤΑΜΙΕΥΣΗ",
|
321 |
+
"ΑΛΛΟΘΡΗΣΚΟΙ",
|
322 |
+
"ΠΛΟΗΓΙΚΗ ΥΠΗΡΕΣΙΑ",
|
323 |
+
"ΤΥΠΟΣ ΚΑΙ ΠΛΗΡΟΦΟΡΙΕΣ",
|
324 |
+
"ΤΡΟΠΟΠΟΙΗΣΗ ΚΑΙ ΚΑΤΑΡΓΗΣΗ ΤΗΣ ΠΟΙΝΗΣ",
|
325 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ ΤΥΠΟΥ",
|
326 |
+
"ΟΙΚΟΓΕΝΕΙΑΚΟ ΔΙΚΑΙΟ",
|
327 |
+
"ΔΙΟΙΚΗΣΗ ΕΘΝΙΚΗΣ ΟΙΚΟΝΟΜΙΑΣ",
|
328 |
+
"ΥΠΟΥΡΓΕΙΟ ΕΘΝΙΚΗΣ ΑΜΥΝΑΣ",
|
329 |
+
"ΔΙΕΘΝΕΙΣ ΣΥΜΒΑΣΕΙΣ ΠΡΟΝΟΙΑΣ",
|
330 |
+
"ΠΡΟΣΩΠΙΚΟ ΤΩΝ ΔΙΚΑΣΤΗΡΙΩΝ",
|
331 |
+
"ΠΡΟΣΤΑΣΙΑ ΠΡΟΣΩΠΩΝ ΕΙΔΙΚΩΝ ΚΑΤΗΓΟΡΙΩΝ",
|
332 |
+
"ΠΑΡΟΧΕΣ ΑΣΘΕΝΕΙΑΣ",
|
333 |
+
"ΜΕΤΑΝΑΣΤΕΥΣΗ",
|
334 |
+
"ΥΠΟΥΡΓΕΙΟ ΠΑΙΔΕΙΑΣ",
|
335 |
+
"ΑΣΦΑΛΕΙΑ ΝΑΥΣΙΠΛΟΪΑΣ",
|
336 |
+
"ΟΔΟΠΟΙΪΑ",
|
337 |
+
"ΣΤΡΑΤΟΔΙΚΕΙΑ",
|
338 |
+
"ΜΙΣΘΩΣΗ",
|
339 |
+
"ΕΙΣΠΡΑΞΗ ΔΗΜΟΣΙΩΝ ΕΣΟΔΩΝ",
|
340 |
+
"ΟΠΛΙΤΕΣ ΚΑΙ ΑΝΘΥΠΑΣΠΙΣΤΕΣ",
|
341 |
+
"ΟΡΓΑΝΙΣΜΟΣ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ ΕΛΛΑΔΑΣ (Ο.Τ.Ε.)",
|
342 |
+
"ΌΡΓΑΝΑ ΆΣΚΗΣΗΣ ΔΙΑΧΕΙΡΙΣΤΙΚΟΎ ΕΛΈΓΧΟΥ ΟΡΓΑΝΙΣΜΏΝ ΚΑΙ ΕΠΙΧΕΙΡΉΣΕΩΝ",
|
343 |
+
"ΠΟΙΝΙΚΗ ΝΟΜΟΘΕΣΙΑ ΤΥΠΟΥ",
|
344 |
+
"ΕΞΑΓΩΓΙΚΟ ΕΜΠΟΡΙΟ",
|
345 |
+
"ΑΕΡΟΠΟΡΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
346 |
+
"ΓΕΩΡΓΙΚΟΙ ΣΥΝΕΤΑΙΡΙΣΜΟΙ ΑΓΡΟΤΙΚΕΣ ΣΥΝΕΤΑΙΡΙΣΤΙΚΕΣ ΟΡΓΑΝΩΣΕΙΣ",
|
347 |
+
"ΟΙΚΟΝΟΜΙΚΕΣ ΥΠΗΡΕΣΙΕΣ",
|
348 |
+
"ΟΧΥΡΩΣΕΙΣ",
|
349 |
+
"ΕΚΤΑΚΤΟΙ ΠΟΙΝΙΚΟΙ ΝΟΜΟΙ",
|
350 |
+
"ΕΚΤΕΛΕΣΗ",
|
351 |
+
"ΔΙΟΙΚΗΤΙΚΟΙ ΚΑΝΟΝΙΣΜΟΙ",
|
352 |
+
"ΥΔΡΑΥΛΙΚΑ ΕΡΓΑ",
|
353 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ ΔΗΜΟΣΙΩΝ ΥΠΑΛΛΗΛΩΝ",
|
354 |
+
"ΕΚΚΑΘΑΡΙΣΕΙΣ ΔΗΜΟΣΙΩΝ ΥΠΑΛΛΗΛΩΝ",
|
355 |
+
"ΔΙΟΙΚΗΣΗ ΕΜΠΟΡΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
356 |
+
"ΑΝΩΤΑΤΟ ΕΙΔΙΚΟ ΔΙΚΑΣΤΗΡΙΟ",
|
357 |
+
"ΑΡΤΟΣ",
|
358 |
+
"ΕΙΣΑΓΩΓΙΚΟ ΕΜΠΟΡΙΟ",
|
359 |
+
"ΑΛΙΕΙΑ",
|
360 |
+
"ΕΚΚΛΗΣΙΑΣΤΙΚΗ ΠΕΡΙΟΥΣΙΑ",
|
361 |
+
"ΔΙΑΦΟΡΑ ΔΗΜΟΣΙΑ ΕΡΓΑ",
|
362 |
+
"ΜΟΝΕΣ",
|
363 |
+
"ΠΡΟΕΔΡΟΣ ΤΗΣ ΔΗΜΟΚΡΑΤΙΑΣ ΚΑΙ ΠΡΟΕΔΡΙΑ ΤΗΣ ΔΗΜΟΚΡΑΤΙΑΣ",
|
364 |
+
"ΠΟΛΥΕΘΝΕΙΣ ΟΡΓΑΝΙΣΜΟΙ",
|
365 |
+
"ΑΡΧΑΙΟΤΗΤΕΣ",
|
366 |
+
"ΝΑΟΙ ΚΑΙ ΛΕΙΤΟΥΡΓΟΙ ΑΥΤΩΝ",
|
367 |
+
"ΕΚΚΛΗΣΙΑΣΤΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
368 |
+
"ΕΝΙΣΧΥΣΙΣ ΤΗΣ ΓΕΩΡΓΙΑΣ",
|
369 |
+
"ΕΚΘΕΣΕΙΣ",
|
370 |
+
"ΠΡΟΣΤΑΣΙΑ ΤΩΝ ΣΥΝΑΛΛΑΓΩΝ",
|
371 |
+
"ΑΣΦΑΛΙΣΗ",
|
372 |
+
"ΚΤΗΝΟΤΡΟΦΙΑ",
|
373 |
+
"ΕΚΠΑΙΔΕΥΤΙΚΑ ΤΕΛΗ",
|
374 |
+
"ΔΙΟΙΚΗΣΗ ΕΚΠΑΙΔΕΥΣΕΩΣ",
|
375 |
+
"ΤΑΜΕΙΟ ΠΑΡΑΚΑΤΑΘΗΚΩΝ ΚΑΙ ΔΑΝΕΙΩΝ",
|
376 |
+
"ΑΓΑΘΟΕΡΓΑ ΙΔΡΥΜΑΤΑ",
|
377 |
+
"ΦΟΡΟΛΟΓΙΚΑ ΔΙΚΑΣΤΗΡΙΑ",
|
378 |
+
"ΦΟΡΟΙ ΚΑΤΑΝΑΛΩΣΕΩΣ",
|
379 |
+
"ΒΙΒΛΙΟΘΗΚΕΣ-ΠΡΟΣΤΑΣΙΑ ΒΙΒΛΙΟΥ-ΔΙΑΔΟΣΗ ΛΟΓΟΤΕΧΝΙΑΣ",
|
380 |
+
"ΤΗΛΕΠΙΚΟΙΝΩΝΙΑΚΕΣ ΚΑΙ ΤΑΧΥΔΡΟΜΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
381 |
+
"ΙΔΙΩΤΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
382 |
+
"ΤΗΛΕΠΙΚΟΙΝΩΝΙΕΣ",
|
383 |
+
"ΑΣΥΡΜΑΤΟΣ",
|
384 |
+
"ΑΠΟΔΟΧΕΣ ΔΗΜΟΣΙΩΝ ΥΠΑΛΛΗΩΝ",
|
385 |
+
"ΥΓΕΙΟΝΟΜΙΚΗ ΥΠΗΡΕΣΙΑ ΣΤΡΑΤΟΥ",
|
386 |
+
"ΦΑΡΜΑΚΕΙΑ",
|
387 |
+
"ΔΗΜΟΣΙΟ ΛΟΓΙΣΤΙΚΟ",
|
388 |
+
"ΝΑΥΤΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
389 |
+
"ΕΞΥΠΗΡΕΤΗΣΗ ΠΟΛΙΤΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
390 |
+
"ΠΑΡΟΧΕΣ Ι.Κ.Α",
|
391 |
+
"ΓΕΝΙΚΑ ΥΓΕΙΟΝΟΜΙΚΑ ΜΕΤΡΑ",
|
392 |
+
"ΕΚΜΕΤΑΛΛΕΥΣΗ ΘΑΛΑΣΣΙΩΝ ΣΥΓΚΟΙΝΩΝΙΩΝ",
|
393 |
+
"ΠΡΟΣΩΠΙΚΟ ΤΑΧΥΔΡΟΜΕΙΩΝ",
|
394 |
+
"ΕΚΤΕΛΕΣΤΙΚΗ ΕΞΟΥΣΙΑ",
|
395 |
+
"ΣΥΣΤΑΣΗ ΚΑΙ ΕΔΡΑ ΤΟΥ ΚΡΑΤΟΥΣ",
|
396 |
+
"ΦΟΡΟΛΟΓΙΑ ΔΙΑΣΚΕΔΑΣΕΩΝ",
|
397 |
+
"ΤΗΛΕΦΩΝΑ",
|
398 |
+
"ΣΤΡΑΤΟΛΟΓΙΑ",
|
399 |
+
"ΕΚΠΑΙΔΕΥΣΗ ΕΡΓΑΤΩΝ",
|
400 |
+
"ΥΠΟΥΡΓΕΙΟ ΠΟΛΙΤΙΣΜΟΥ",
|
401 |
+
"ΦΟΡΟΛΟΓΙΑ ΟΙΝΟΠΝΕΥΜΑΤΩΔΩΝ ΠΟΤΩΝ",
|
402 |
+
"ΥΠΟΥΡΓΕΙΟ ΓΕΩΡΓΙΑΣ",
|
403 |
+
"ΣΩΜΑΤΕΙΑ",
|
404 |
+
"ΕΙΔΙΚΕΣ ΜΟΡΦΕΣ ΑΠΑΣΧΟΛΗΣΗΣ",
|
405 |
+
"ΥΠΟΥΡΓΕΙΟ ΔΙΚΑΙΟΣΥΝΗΣ",
|
406 |
+
"ΝΑΥΤΙΛΙΑΚΟΙ ΟΡΓΑΝΙΣΜΟΙ",
|
407 |
+
"ΤΟΥΡΙΣΜΟΣ",
|
408 |
+
"ΚΑΠΝΟΣ",
|
409 |
+
"ΠΡΟΣΤΑΣΙΑ ΗΘΩΝ",
|
410 |
+
"ΕΙΔΙΚΕΣ ΥΠΗΡΕΣΙΕΣ ΝΑΥΤΙΚΟΥ",
|
411 |
+
"ΑΠΟΔΟΧΕΣ ΣΤΡΑΤΙΩΤΙΚΩΝ",
|
412 |
+
"ΠΡΟΝΟΙΑ ΠΛΗΡΩΜΑΤΩΝ Ε.Ν",
|
413 |
+
"ΕΙΔΙΚΕΣ ΔΙΑΤΑΞΕΙΣ ΠΕΡΙ ΑΝΩΝ.ΕΤΑΙΡΕΙΩΝ",
|
414 |
+
"ΔΗΜΟΣΙΑ ΔΙΟΙΚΗΣΗ",
|
415 |
+
"ΤΟΠΙΚΑ ΣΧΕΔΙΑ ΠΟΛΕΩΝ",
|
416 |
+
"ΠΡΟΣΤΑΣΙΑ ΠΑΙΔΙΚΗΣ ΗΛΙΚΙΑΣ",
|
417 |
+
"ΕΛΛΗΝΙΚΗ ΑΣΤΥΝΟΜΙΑ",
|
418 |
+
"ΛΙΜΕΝΙΚΟ ΣΩΜΑ",
|
419 |
+
"ΤΟΥΡΙΣΤΙΚΗ ΑΣΤΥΝΟΜΙΑ",
|
420 |
+
"ΒΙΟΜΗΧΑΝΙΑ",
|
421 |
+
"ΣΧΟΛΕΣ ΠΑΝΕΠΙΣΤΗΜΙΟΥ ΑΘΗΝΩΝ",
|
422 |
+
"ΑΣΦΑΛΙΣΤΙΚΟΙ ΟΡΓΑΝΙΣΜΟΙ ΣΤΡΑΤΟΥ",
|
423 |
+
"ΑΛΥΚΕΣ",
|
424 |
+
"ΕΣΩΤΕΡΙΚΟ ΕΜΠΟΡΙΟ",
|
425 |
+
"ΕΘΝΙΚΟ ΣΥΣΤΗΜΑ ΥΓΕΙΑΣ",
|
426 |
+
"ΝΟΜΟΘΕΤΙΚΗ ΕΞΟΥΣΙΑ",
|
427 |
+
"ΔΙΟΙΚΗΣH ΚΟΙΝΩΝIKΗΣ ΠΡΟΝΟΙΑΣ",
|
428 |
+
"ΠΛΗΡΩΜΑΤΑ",
|
429 |
+
"ΜΑΘΗΤΙΚΗ ΠΡΟΝΟΙΑ",
|
430 |
+
"ΔΙΟΙΚΗΣΗ ΤΥΠΟΥ ΚΑΙ ΤΟΥΡΙΣΜΟΥ",
|
431 |
+
"ΕΠΟΙΚΙΣΜΟΣ",
|
432 |
+
"ΤΡΟΧΙΟΔΡΟΜΟΙ",
|
433 |
+
"ΕΠΑΓΓΕΛΜΑΤΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
434 |
+
"ΑΕΡΟΠΟΡΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
435 |
+
"ΥΠΟΥΡΓΕΙΟ ΕΘΝΙΚΗΣ ΟΙΚΟΝΟΜΙΑΣ",
|
436 |
+
"ΘΕΑΤΡΟ",
|
437 |
+
"ΥΔΡΕΥΣΗ",
|
438 |
+
"ΔΙΕΘΝΕΙΣ ΣΤΡΑΤΙΩΤΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
439 |
+
"ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ",
|
440 |
+
"ΥΠΟΥΡΓΕΙΟ ΕΞΩΤΕΡΙΚΩΝ",
|
441 |
+
"ΕΥΡΩΠΑΪΚΟΙ ΠΟΛΥΕΘΝΕΙΣ ΟΡΓΑΝΙΣΜΟΙ",
|
442 |
+
"ΕΛΕΥΘΕΡΙΑ ΤΗΣ ΕΡΓΑΣΙΑΣ",
|
443 |
+
"ΥΠΟΥΡΓΕΙΟ ΕΣΩΤΕΡΙΚΩΝ ΔΗΜ.ΔΙΟΙΚΗΣΗΣ ΚΑΙ ΑΠΟΚΕΝΤΡΩΣΗΣ",
|
444 |
+
"ΔΙΑΦΟΡΕΣ ΕΝΟΧΙΚΕΣ ΣΧΕΣΕΙΣ",
|
445 |
+
"ΛΗΞΙΑΡΧΕΙΑ",
|
446 |
+
"ΕΙΔΙΚΟΙ ΚΑΝΟΝΙΣΜΟΙ",
|
447 |
+
"ΤΕΛΩΝΕΙΑΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
448 |
+
"ΝΑΥΤΙΚΟ ΠΟΙΝΙΚΟ ΔΙΚΑΙΟ",
|
449 |
+
"ΣΤΕΓΑΣΗ ΔΗΜΟΣΙΩΝ ΥΠΗΡΕΣΙΩΝ",
|
450 |
+
"ΠΛΗΡΩΜΑΤΑ ΠΟΛΕΜΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
451 |
+
"ΣΥΝΤΑΓΜΑΤΙΚΟΣ ΧΑΡΤΗΣ",
|
452 |
+
"ΗΛΕΚΤΡΙΣΜΟΣ",
|
453 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΔΙΚΑΣΤΗΡΙΑ",
|
454 |
+
"ΛΕΣΧΕΣ ΕΛΛΗΝΙΚΗΣ ΑΣΤΥΝΟΜΙΑΣ",
|
455 |
+
"ΥΠΟΥΡΓΕΙΟ ΔΗΜΟΣΙΑΣ TAΞΗΣ",
|
456 |
+
"ΕΚΤΕΛΕΣ ΔΗΜΟΣΙΩΝ ΕΡΓΩΝ",
|
457 |
+
"ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ",
|
458 |
+
"ΔΑΣΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
459 |
+
"ΕΙΔΙΚΕΣ ΑΝΩΤΑΤΕΣ ΣΧΟΛΕΣ",
|
460 |
+
"ΕΔΑΦΟΣ ΤΟΥ ΕΛΛΗΝΙΚΟΥ ΚΡΑΤΟΥΣ",
|
461 |
+
"ΔΙΚΗΓΟΡΟΙ",
|
462 |
+
"ΔΙΚΑΙΟ ΤΩΝ ΠΡΟΣΩΠΩΝ",
|
463 |
+
"ΔΙΟΙΚΗΣΗ ΤΑΧΥΔΡΟΜΙΚΗΣ, ΤΗΛΕΓΡΑΦΙΚΗΣ",
|
464 |
+
"ΣΧΟΛΙΚΑ ΚΤΙΡΙΑ ΚΑΙ ΤΑΜΕΙΑ",
|
465 |
+
"ΑΕΡΟΛΙΜΕΝΕΣ",
|
466 |
+
"ΥΠΟΘΗΚΟΦΥΛΑΚΕΙΑ",
|
467 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ ΠΡΟΣΩΠΙΚΟΥ ΥΠΟΥΡΓΕΙΟΥ ΔΗΜΟΣΙΑΣ ΤΑΞΗΣ",
|
468 |
+
"ΔΙΑΧΕΙΡΙΣΕΙΣ ΤΟΥ ΔΗΜΟΣΙΟΥ",
|
469 |
+
"ΕΜΠΡΑΓΜΑΤΟ ΔΙΚΑΙΟ",
|
470 |
+
"ΦΟΡΤΟΕΚΦΟΡΤΩΣΕΙΣ",
|
471 |
+
"ΑΝΩΝΥΜΕΣ ΕΤΑΙΡΕΙΕΣ",
|
472 |
+
"ΕΙΔΙΚΟΙ ΕΠΙΣΙΤΙΣΤΙΚΟΙ ΝΟΜΟΙ",
|
473 |
+
"ΕΚΚΛΗΣΙΕΣ ΑΛΛΟΔΑΠΗΣ",
|
474 |
+
"ΔΙΕΘΝΕΙΣ ΣΥΜΒΑΣΕΙΣ",
|
475 |
+
"ΟΡΓΑΝΙΣΜΟΣ ΑΣΦΑΛΙΣΗΣ ΕΛΕΥΘΕΡΩΝ ΕΠΑΓΓΕΛΜΑΤΙΩΝ",
|
476 |
+
"ΑΣΦΑΛΕΙΑ ΑΕΡΟΠΛΟΪΑΣ",
|
477 |
+
"ΤΑΜΕΙΑ ΑΣΦΑΛΙΣΕΩΣ ΚΑΙ ΑΡΩΓΗΣ",
|
478 |
+
"ΑΝΩΤΑΤΗ ΕΚΠΑΙΔΕΥΣΗ",
|
479 |
+
"ΠΟΛΕΜΙΚΗ ΔΙΑΘΕΣΙΜΟΤΗΤΑ",
|
480 |
+
"ΠΟΙΝΙΚΟ ΚΑΙ ΠΕΙΘΑΡΧΙΚΟ ΔΙΚΑΙΟ",
|
481 |
+
"ΦΟΡΟΛΟΓΙΑ ΕΠΙΤΗΔΕΥΜΑΤΟΣ",
|
482 |
+
"ΕΚΤΑΚΤΕΣ ΦΟΡΟΛΟΓΙΕΣ",
|
483 |
+
"ΠΟΙΝΙΚΗ ΔΙΚΟΝΟΜΙΑ",
|
484 |
+
"ΣΤΟΙΧΕΙΩΔΗΣ ΕΚΠΑΙΔΕΥΣΗ",
|
485 |
+
"ΣΥΜΒΟΥΛΙΟ ΕΠΙΚΡΑΤΕΙΑΣ ΚΑΙ ΔΙΟΙΚΗΤΙΚΑ ΔΙΚΑΣΤΗΡΙΑ",
|
486 |
+
"ΝΟΜΙΚΑ ΠΡΟΣΩΠΑ ΚΑΙ ΕΚΜΕΤΑΛΛΕΥΣΕΙΣ",
|
487 |
+
"ΟΙΚΟΝΟΜΙΚΗ ΔΙΟΙΚΗΣΗ ΝΑΥΤΙΚΟΥ",
|
488 |
+
"ΤΥΠΟΣ",
|
489 |
+
"ΤΑΜΕΙΟ ΑΣΦΑΛΙΣΕΩΣ ΕΠΑΓΓΕΛΜΑΤΙΩΝ",
|
490 |
+
"ΠΑΝΕΠΙΣΤΗΜΙΟ ΙΩΑΝΝΙΝΩΝ",
|
491 |
+
"ΧΡΕΩΓΡΑΦΑ",
|
492 |
+
"ΠΡΟΪΟΝΤΑ ΕΛΑΙΑΣ",
|
493 |
+
"ΕΚΚΛΗΣΙΑ ΙΟΝΙΩΝ ΝΗΣΩΝ",
|
494 |
+
"ΔΙΟΙΚΗΣH ΥΓΙΕΙΝΗΣ",
|
495 |
+
"ΑΕΡΟΠΟΡΙΚΟ ΠΟΙΝΙΚΟ ΔΙΚΑΙΟ",
|
496 |
+
"ΚΑΤΑΠΟΛΕΜΗΣΗ ΝΟΣΩΝ ΚΑΤ’ ΙΔΙΑΝ",
|
497 |
+
"ΕΙΔΙΚΟΙ ΠΟΙΝΙΚΟΙ ΝΟΜΟΙ",
|
498 |
+
"ΘΗΡΑ",
|
499 |
+
"ΥΓΙΕΙΝΗ ΚΑΙ ΑΣΦΑΛΕΙΑ ΕΡΓΑΖΟΜΕΝΩΝ",
|
500 |
+
"ΔΙΟΙΚΗΣΗ ΣΥΓΚΟΙΝΩΝΙΩΝ",
|
501 |
+
"ΑΠΟΣΤΟΛΙΚΗ ΔΙΑΚΟΝΙΑ ΕΚΚΛΗΣΙΑΣ ΤΗΣ ΕΛΛΑΔΟΣ",
|
502 |
+
"ΠΡΟΣΩΡΙΝΕΣ ΑΤΕΛΕΙΕΣ",
|
503 |
+
"ΤΑΧΥΔΡΟΜΙΚΑ ΤΑΜΙΕΥΤΗΡΙΑ",
|
504 |
+
"ΑΝΩΤΑΤΗ ΣΧΟΛΗ ΚΑΛΩΝ ΤΕΧΝΩΝ",
|
505 |
+
"ΔΙΟΙΚΗΣΗ ΕΡΓΑΣΙΑΣ",
|
506 |
+
"ΑΓΙΟΝ ΟΡΟΣ",
|
507 |
+
"ΣΧΟΛΕΣ Π. ΝΑΥΤΙΚΟΥ",
|
508 |
+
"ΤΡΑΠΕΖΕΣ",
|
509 |
+
"ΕΛΕΓΧΟΣ ΚΙΝΗΣΕΩΣ ΜΕ ΤΟ ΕΞΩΤΕΡΙΚΟ",
|
510 |
+
"ΕΙΔΙΚΑΙ ΚΑΤΗΓΟΡΙΑΙ ΠΛΟΙΩΝ",
|
511 |
+
"ΓΕΩΡΓΙΚΗ ΥΓΙΕΙΝΗ",
|
512 |
+
"ΕΞΟΔΑ ΠΟΙΝΙΚΗΣ ΔΙΑΔΙΚΑΣΙΑΣ",
|
513 |
+
"ΕΡΓΑΣΙΑ ΓΥΝΑΙΚΩΝ ΚΑΙ ΑΝΗΛΙΚΩΝ",
|
514 |
+
"ΔΙΟΙΚΗΣΗ ΕΦΟΔΙΑΣΜΟΥ",
|
515 |
+
"ΕΜΠΟΡΙΚΑ ΕΠΑΓΓΕΛΜΑΤΑ",
|
516 |
+
"ΕΚΤΕΛΩΝΙΣΤΕΣ",
|
517 |
+
"ΦΟΡΟΛΟΓΙΑ ΚΛΗΡΟΝΟΜΙΩΝ, ΔΩΡΕΩΝ ΚΛΠ",
|
518 |
+
"ΟΡΓΑΝΙΣΜΟΙ ΥΠΟΥΡΓΕΙΟΥ ΕΡΓΑΣΙΑΣ",
|
519 |
+
"ΕΝΙΣΧΥΣΗ ΕΠΙΣΤΗΜΩΝ ΚΑΙ ΤΕΧΝΩΝ",
|
520 |
+
"ΔΙΑΦΟΡΟΙ ΦΟΡΟΛΟΓΙΚΟΙ ΝΟΜΟΙ",
|
521 |
+
"ΤΕΧΝΙΚΕΣ ΠΡΟΔΙΑΓΡΑΦΕΣ",
|
522 |
+
"ΜΗΤΡΩΑ ΔΗΜΟΤΩΝ",
|
523 |
+
"ΚΑΤΑΣΤΑΣΗ ΔΗΜΟΣΙΩΝ ΥΠΑΛΛΗΛΩΝ",
|
524 |
+
"ΠΡΟ��ΩΠΙΚΟΝ ΔΗΜΩΝ ΚΑΙ ΚΟΙΝΟΤΗΤΩΝ",
|
525 |
+
"ΥΓΕΙΟΝΟΜΙΚΗ ΑΝΤΙΛΗΨΗ",
|
526 |
+
"ΤΕΛΗ ΧΑΡΤΟΣΗΜΟΥ",
|
527 |
+
"ΣΤΡΑΤΙΩΤΙΚΟΙ ΓΕΝΙΚΑ",
|
528 |
+
"ΛΙΜΕΝΙΚΕΣ ΑΡΧΕΣ",
|
529 |
+
"ΕΛΕΓΧΟΣ ΚΥΚΛΟΦΟΡΙΑΣ",
|
530 |
+
"ΤΑΜΕΙΟ ΣΥΝΤΑΞΕΩΣ ΚΑΙ ΑΥΤΑΣΦΑΛΙΣΕΩΣ ΥΓΕΙΟΝΟΜΙΚΩΝ",
|
531 |
+
"ΠΟΛΙΤΙΚΗ ΚΑΙ ΟΙΚΟΝΟΜΙΚΗ ΕΠΙΣΤΡΑΤΕΥΣΗ",
|
532 |
+
"ΤΗΛΕΓΡΑΦΟΙ",
|
533 |
+
"ΣΕΙΣΜΟΠΛΗΚΤΟΙ",
|
534 |
+
"ΙΑΜΑΤΙΚΕΣ ΠΗΓΕΣ",
|
535 |
+
"ΙΔΙΩΤΙΚΟ ΝΑΥΤΙΚΟ ΔΙΚΑΙΟ",
|
536 |
+
"ΔΙΕΘΝΕΙΣ ΥΓΕΙΟΝΟΜΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
537 |
+
"ΝΟΜΙΚΑ ΠΡΟΣΩΠΑ ΔΗΜΟΣΙΟΥ ΔΙΚΑΙΟΥ",
|
538 |
+
"ΕΚΚΛΗΣΙΑ ΚΡΗΤΗΣ",
|
539 |
+
"ΠΡΟΣΤΑΣΙΑ ΝΟΜΙΣΜΑΤΟΣ",
|
540 |
+
"ΠΡΟΣΤΑΣΙΑ ΠΡΟΪΟΝΤΩΝ ΑΜΠΕΛΟΥ",
|
541 |
+
"ΑΝΑΠΗΡΟΙ ΚΑΙ ΘΥΜΑΤΑ ΠΟΛΕΜΟΥ",
|
542 |
+
"ΠΑΡΟΧΕΣ ΔΙΑΦΟΡΕΣ",
|
543 |
+
"ΤΟΠΙΚΗ ΑΥΤΟΔΙΟΙΚΗΣΗ",
|
544 |
+
"OΡΓΑΝΩΣΗ ΣΤΡΑΤΟΥ ΞΗΡΑΣ",
|
545 |
+
"ΔΙΑΚΟΠΕΣ ΤΗΣ ΕΡΓΑΣΙΑΣ",
|
546 |
+
"ΟΡΓΑΝΙΣΜΟΣ ΠΟΛΕΜΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
547 |
+
"ΕΠΙΜΕΛΗΤΗΡΙΑ",
|
548 |
+
"ΕΚΚΛΗΣΙΑ ΤΗΣ ΕΛΛΑΔΟΣ",
|
549 |
+
"ΝΑΡΚΩΤΙΚΑ",
|
550 |
+
"ΕΚΜΕΤΑΛΛΕΥΣΗ ΤΑΧΥΔΡΟΜΕΙΩΝ",
|
551 |
+
"ΜΟΥΣΙΚΗ",
|
552 |
+
"ΝΟΜΑΡΧΙΕΣ",
|
553 |
+
"ΠΡΟΣΩΠΙΚΟ ΠΟΛΕΜΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
554 |
+
"ΓΕΝΙΚΟ ΧΗΜΕΙΟ ΤΟΥ ΚΡΑΤΟΥΣ",
|
555 |
+
"ΚΡΑΤΙΚΗ",
|
556 |
+
"ΔΙΟΙΚΗΣΗ ΠΟΛΕΜΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
557 |
+
"ΠΑΡΟΧΟΙ ΣΤΑΘΕΡΩΝ ΗΛΕΚΤΡΟΝΙΚΩΝ ΕΠΙΚΟΙΝΩΝΙΩΝ",
|
558 |
+
"ΕΠΑΓΓΕΛΜΑΤΙΚΟΣ ΚΙΝΔΥΝΟΣ",
|
559 |
+
"ΕΝΟΧΕΣ ΣΕ ΧΡΥΣΟ ΚΑΙ ΣΥΝΑΛΛΑΓΜΑ",
|
560 |
+
"ΙΠΠΟΠΑΡΑΓΩΓΗ",
|
561 |
+
"ΑΥΤΟΚΙΝΗΤΑ",
|
562 |
+
"ΑΓΟΡΑΝΟΜΙΚΕΣ ΔΙΑΤΑΞΕΙΣ",
|
563 |
+
"ΠΡΟΣΦΥΓΕΣ",
|
564 |
+
"ΔΙΑΦΟΡΑ ΣΤΡΑΤΙΩΤΙΚΑ ΘΕΜΑΤΑ",
|
565 |
+
"ΓΕΝ. ΓΡΑΜΜ. ΒΙΟΜΗΧΑΝΙΑΣ - ΓΕΝ. ΓΡΑΜΜ. ΕΡΕΥΝΑΣ ΚΑΙ ΤΕΧΝΟΛΟΓΙΑΣ",
|
566 |
+
"ΔΙΑΜΕΤΑΚΟΜΙΣΗ",
|
567 |
+
"ΔΙΚΑΙΟΣΤΑΣΙΟ",
|
568 |
+
"ΥΔΑΤΑ",
|
569 |
+
"ΦΟΡΟΛΟΓΙΚΕΣ ΔΙΕΥΚΟΛΥΝΣΕΙΣ ΚΑΙ ΑΠΑΛΛΑΓΕΣ",
|
570 |
+
"ΜΟΝΟΠΩΛΙΑ",
|
571 |
+
"ΕΙΔΙΚΕΣ ΔΙΑΔΙΚΑΣΙΕΣ",
|
572 |
+
"ΠΡΟΝΟΙΑ ΓΙΑ ΤΟΥΣ ΣΤΡΑΤΙΩΤΙΚΟΥΣ",
|
573 |
+
"ΠΟΛΙΤΙΚΗ ΔΙΚΟΝΟΜΙΑ",
|
574 |
+
"ΟΡΓΑΝΩΣΗ ΧΡΟΝΟΥ ΕΡΓΑΣΙΑΣ",
|
575 |
+
"ΠΡΟΣΩΠΙΚΟ ΤΥΠΟΥ",
|
576 |
+
"ΔΙΚΑΣΤΙΚΟΙ ΕΠΙΜΕΛΗΤΕΣ",
|
577 |
+
"ΛΟΥΤΡΟΠΟΛΕΙΣ",
|
578 |
+
"ΤΕΛΩΝΕΙΑΚΟΣ ΚΩΔΙΚΑΣ",
|
579 |
+
"ΤΑΜΕΙΟ ΣΥΝΤΑΞΕΩΝ ΝΟΜΙΚΩΝ",
|
580 |
+
"ΔΙΑΦΟΡΟΙ ΤΕΛΩΝΕΙΑΚΟΙ ΝΟΜΟΙ",
|
581 |
+
"ΔΙΟΙΚΗΣΗ ΠΟΛΙΤΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
582 |
+
"ΑΕΡΟΠΟΡΙΚΕΣ ΕΚΜΕΤΑΛΛΕΥΣΕΙΣ",
|
583 |
+
"ΕΜΠΟΡΙΚΕΣ ΠΡΑΞΕΙΣ",
|
584 |
+
"ΔΙΚΑΣΤΗΡΙΑ",
|
585 |
+
"ΒΑΣΙΛΕΙΑ ΚΑΙ ΑΝΤΙΒΑΣΙΛΕΙΑ",
|
586 |
+
"ΠΡΟΣΩΠΙΚΟ ΠΟΛΕΜΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
587 |
+
"ΠΡΟΣΤΑΣΙΑ ΚΑΙ ΚΙΝΗΤΡΑ ΙΔΙΩΤΙΚΩΝ ΕΠΕΝΔΥΣΕΩΝ",
|
588 |
+
"ΒΑΣΙΛΙΚΑ ΙΔΡΥΜΑΤΑ",
|
589 |
+
"ΣΙΔΗΡΟΔΡΟΜΟΙ ΓΕΝΙΚΑ",
|
590 |
+
"ΠΝΕΥΜΑΤΙΚΗ ΙΔΙΟΚΤΗΣΙΑ",
|
591 |
+
"ΔΙΑΦΟΡΑ ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ",
|
592 |
+
"ΥΓΕΙΟΝΟΜΙΚΑ ΕΠΑΓΓΕΛΜΑΤΑ",
|
593 |
+
"ΦΟΡΟΛΟΓΙΑ ΚΑΠΝΟΥ",
|
594 |
+
"ΟΙΚΟΝΟΜΙΚΗ ΔΙΟΙΚΗΣΗ",
|
595 |
+
"ΧΩΡΟΦΥΛΑΚΗ",
|
596 |
+
"ΤΕΛΩΝΕΙΑΚΗ ΥΠΗΡΕΣΙΑ",
|
597 |
+
"ΠΑΝΕΠΙΣΤΗΜΙΟ ΠΑΤΡΩΝ",
|
598 |
+
"ΤΑΜΕΙΟ ΕΠΙΚΟΥΡΙΚΗΣ ΑΣΦΑΛΙΣΕΩΣ ΑΣΦΑΛΙΣΤΩΝ",
|
599 |
+
"ΑΣΦΑΛΙΣΤΙΚΟΙ ΟΡΓΑΝΙΣΜΟΙ",
|
600 |
+
"ΣΤΡΑΤΙΩΤΙΚΑ ΕΡΓΑ ΚΑΙ ΠΡΟΜΗΘΕΙΕΣ",
|
601 |
+
"ΥΠΟΝΟΜΟΙ",
|
602 |
+
"ΦΟΡΟΛΟΓΙΑ ΚΕΦΑΛΑΙΟΥ",
|
603 |
+
"ΕΤΑΙΡΕΙΕΣ ΠΕΡΙΩΡΙΣΜΕΝΗΣ ΕΥΘΥΝΗΣ",
|
604 |
+
"ΥΠΟΥΡΓΕΊΟ ΚΟΙΝΩΝΙΚΏΝ ΑΣΦΑΛΊΣΕΩΝ",
|
605 |
+
"ΣΥΜΒΟΛΑΙΟΓΡΑΦΟΙ",
|
606 |
+
"ΤΑΜΕΙΟ ΑΣΦΑΛΙΣΕΩΣ ΑΡΤΕΡΓΑΤΩΝ",
|
607 |
+
"ΕΡΓΑ ΚΑΙ ΠΡΟΜΗΘΕΙΕΣ ΔΗΜΩΝ ΚΑΙ ΚΟΙΝΟΤΗΤΩΝ",
|
608 |
+
"ΕΛΕΓΚΤΙΚΟ ΣΥΝΕΔΡΙΟ",
|
609 |
+
"ΔΙΑΦΟΡΑ ΕΠΙΣΤΗΜΟΝΙΚΑ ΙΔΡΥΜΑΤΑ",
|
610 |
+
"ΑΞΙΩΜΑΤΙΚΟΙ ΕΝΟΠΛΩΝ ΔΥΝΑΜΕΩΝ",
|
611 |
+
"ΤΑΜΕΙΟ ΑΣΦΑΛΙΣΕΩΣ ΕΜΠΟΡΩΝ (Τ.Α.Ε)",
|
612 |
+
"ΣΤΡΑΤΙΩΤΙΚΗ ΠΟΙΝΙΚΗ",
|
613 |
+
"ΦΟΡΟΛΟΓΙΑ ΟΙΝΟΠΝΕΥΜΑΤΟΣ",
|
614 |
+
"ΟΡΓΑΝΙΣΜΟΣ ΓΕΩΡΓΙΚΩΝ ΑΣΦΑΛΙΣΕΩΝ",
|
615 |
+
"ΣΥΛΛΟΓΙΚΕΣ ΣΥΜΒΑΣΕΙΣ ΕΡΓΑΣΙΑΣ",
|
616 |
+
"ΧΡΗΜΑΤΙΣΤΗΡΙΑ",
|
617 |
+
"ΠΟΛΙΤΙΚΑΙ ΚΑΙ ΣΤΡΑΤΙΩΤΙΚΑΙ ΣΥΝΤΑΞΕΙΣ",
|
618 |
+
"ΚΟΙΝΩΝΙΚΗ ΣΤΕΓΑΣΤΙΚΗ ΣΥΝΔΡΟΜΗ",
|
619 |
+
"ΚΑΤΟΧΥΡΩΣΗ ΕΠΑΓΓΕΛΜΑΤΩΝ",
|
620 |
+
"ΦΟΡΟΛΟΓΙΑ ΚΑΘΑΡΑΣ ΠΡΟΣΟΔΟΥ",
|
621 |
+
"ΠΕΡΙΦΕΡΕΙΕΣ",
|
622 |
+
"ΕΚΚΛΗΣΙΑΣΤΙΚΗ ΔΙΚΑΙΟΣΥΝΗ",
|
623 |
+
"ΥΠΟΥΡΓΕΙΟ ΟΙΚΟΝΟΜΙΚΩΝ",
|
624 |
+
"ΕΘΝΙΚΑ ΚΛΗΡΟΔΟΤΗΜΑΤΑ",
|
625 |
+
"ΕΓΓΕΙΟΒΕΛΤΙΩΤΙΚΑ ΕΡΓΑ",
|
626 |
+
"ΛΙΜΕΝΕΣ",
|
627 |
+
"ΦΥΛΑΚΕΣ",
|
628 |
+
"ΓΕΩΡΓΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
629 |
+
"ΠΛΗΡΩΜΗ ΕΡΓΑΣΙΑΣ",
|
630 |
+
"ΕΜΠΟΡΙΚΟΣ ΝΟΜΟΣ",
|
631 |
+
"ΙΔΡΥΜΑ ΚΟΙΝΩΝΙΚΩΝ ΑΣΦΑΛΙΣΕΩΝ",
|
632 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ ΤΡΑΠΕΖΩΝ",
|
633 |
+
"ΕΙΔΙΚΟΙ ΑΓΡΟΤΙΚΟΙ ΝΟΜΟΙ",
|
634 |
+
"ΔΙΕΘΝΕΙΣ ΔΙΚΟΝΟΜΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
635 |
+
"ΥΠΟΥΡΓΕΙΑ ΜΑΚΕΔΟΝΙΑΣ–ΘΡΑΚΗΣ, ΑΙΓΑΙΟΥ Κ.Λ.Π",
|
636 |
+
"ΑΣΤΥΝΟΜΙΚΟΊ ΣΚΎΛΟΙ",
|
637 |
+
"ΔΙΑΦΟΡΑ ΘΕΜΑΤΑ",
|
638 |
+
"ΕΚΔΟΣΗ ΕΓΚΛΗΜΑΤΙΩΝ",
|
639 |
+
"ΑΓΟΡΑΝΟΜΙΑ",
|
640 |
+
"ΔΙΚΑΣΤΙΚΟ ΤΟΥ ΔΗΜΟΣΙΟΥ",
|
641 |
+
"ΑΣΤΙΚΟΣ ΚΩΔΙΚΑΣ",
|
642 |
+
"ΤΕΛΩΝΕΙΑΚΕΣ ΑΤΕΛΕΙΕΣ",
|
643 |
+
"ΑΓΡΟΤΙΚΕΣ ΜΙΣΘΩΣΕΙΣ",
|
644 |
+
"ΛΕΩΦΟΡΕΙΑ",
|
645 |
+
"ΓΕΝΙΚΟΙ ΕΠΙΣΙΤΙΣΤΙΚΟΙ ΝΟΜΟΙ",
|
646 |
+
"ΑΣΤΥΝΟΜΙΑ ΠΟΛΕΩΝ",
|
647 |
+
"ΜΗΧΑΝΙΚΟΙ ΚΑΙ ΕΡΓΟΛΑΒΟΙ",
|
648 |
+
"ΠΟΛΕΜΙΚΕΣ ΣΥΝΤΑΞΕΙΣ",
|
649 |
+
],
|
650 |
+
}
|
651 |
+
_GREEK_LEGAL_CODE_SUBJECT = {
|
652 |
+
**_GREEK_LEGAL_CODE_VOLUME,
|
653 |
+
"config_name": "subject",
|
654 |
+
"label_classes": [
|
655 |
+
"ΜΕΤΑΛΛΕΙΑ ΚΑΙ ΟΡΥΧΕΙΑ",
|
656 |
+
"ΣΤΑΤΙΩΤΙΚΕΣ ΣΧΟΛΕΣ",
|
657 |
+
"ΠΑΡΟΧΕΣ ΑΝΕΡΓΙΑΣ",
|
658 |
+
"ΣΙΔΗΡΟΔΡΟΜΙΚΑ ΔΙΚΤΥΑ",
|
659 |
+
"ΕΙΔΙΚΑ ΣΤΡΑΤΙΩΤΙΚΑ ΑΔΙΚΗΜΑΤΑ",
|
660 |
+
"ΚΡΑΤΙΚΕΣ ΠΡΟΜΗΘΕΙΕΣ",
|
661 |
+
"ΑΓΡΟΤΙΚΗ ΑΠΟΚΑΤΑΣΤΑΣΗ",
|
662 |
+
"ΑΞΙΩΜΑΤΙΚΟΙ ΠΟΛΕΜΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
663 |
+
"ΣΧΕΔΙΑ ΠΟΛΕΩΝ",
|
664 |
+
"ΣΥΚΑ",
|
665 |
+
"ΠΡΟΛΗΨΙΣ ΚΑΙ ΔΙΩΞΙΣ ΤΟΥ ΕΓΚΛΗΜΑΤΟΣ",
|
666 |
+
"ΔΙΕΘΝΕΙΣ ΜΕΤΑΦΟΡΕΣ",
|
667 |
+
"ΓΕΝΙΚΗ ΣΥΓΚΟΙΝΩΝΙΑ ΚΑΙ ΔΙΑΤΑΞΕΙΣ",
|
668 |
+
"ΚΛΗΡΟΝΟΜΙΚΟ ΔΙΚΑΙΟ",
|
669 |
+
"ΚΟΙΝΩΝΙΚΗ ΑΝΤΙΛΗΨΗ",
|
670 |
+
"ΝΑΥΤΙΛΙΑΚΕΣ ΣΗΜΑΝΣΕΙΣ",
|
671 |
+
"ΔΙΕΘΝΕΣ ΠΟΙΝΙΚΟ ΔΙΚΑΙΟ",
|
672 |
+
"ΑΣΦΑΛΙΣΤΙΚΟΙ ΟΡΓΑΝΙΣΜΟΙ Ε.Ν",
|
673 |
+
"ΣΩΜΑΤΙΚΗ ΑΓΩΓΗ",
|
674 |
+
"ΣΠΟΡΟΠΑΡΑΓΩΓΗ",
|
675 |
+
"ΥΠΗΡΕΣΙΑΙ ΔΗΜΟΣΙΩΝ ΕΡΓΩΝ",
|
676 |
+
"ΤΑΜΕΙΑ ΣΥΝΤΑΞΕΩΝ ΤΡΑΠΕΖΩΝ",
|
677 |
+
"ΠΥΡΟΣΒΕΣΤΙΚΟ ΣΩΜΑ",
|
678 |
+
"ΔΙΑΦΟΡΕΣ ΒΙΟΜΗΧΑΝΙΕΣ",
|
679 |
+
"ΕΚΤΕΛΕΣΗ ΚΑΙ ΣΥΝΕΠΕΙΕΣ ΤΗΣ ΠΟΙΝΗΣ",
|
680 |
+
"ΔΙΕΘΝΕΙΣ ΑΣΦΑΛΙΣΤΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
681 |
+
"ΝΟΜΟΘΕΣΙΑ",
|
682 |
+
"ΒΑΜΒΑΚΙ",
|
683 |
+
"ΠΑΡΟΧΕΣ ΣΥΝΤΑΞΕΩΝ",
|
684 |
+
"ΝΟΜΙΣΜΑ",
|
685 |
+
"ΣΥΜΒΑΣΗ ΝΑΥΤΙΚΗΣ ΕΡΓΑΣΙΑΣ",
|
686 |
+
"ΟΡΓΑΝΙΣΜΟΊ ΚΟΙΝΩΝΙΚΉΣ ΑΣΦΑΛΊΣΕΩΣ",
|
687 |
+
"ΑΓΡΟΤΙΚΗ ΑΣΦΑΛΕΙΑ",
|
688 |
+
"ΥΓΕΙΟΝΟΜΙΚΟΣ ΕΛΕΓΧΟΣ ΕΙΣΕΡΧΟΜΕΝΩΝ",
|
689 |
+
"ΜΟΥΣΕΙΑ ΚΑΙ ΣΥΛΛΟΓΕΣ",
|
690 |
+
"ΠΡΟΣΩΠΙΚΟ Ι.Κ.Α",
|
691 |
+
"ΞΕΝΟΔΟΧΕΙΑ",
|
692 |
+
"ΚΡΑΤΙΚΗ ΑΣΦΑΛΕΙΑ",
|
693 |
+
"ΣΥΝΕΤΑΙΡΙΣΜΟΙ",
|
694 |
+
"ΠΟΛΥΕΘΝΕΙΣ ΣΥΜΦΩΝΙΕΣ",
|
695 |
+
"ΕΤΕΡΟΔΟΞΟΙ",
|
696 |
+
"ΜΕΣΗ ΕΚΠΑΙΔΕΥΣΙΣ",
|
697 |
+
"ΓΕΩΡΓΙΚΟΙ ΟΡΓΑΝΙΣΜΟΙ",
|
698 |
+
"ΓΕΝΙΚΟ ΛΟΓΙΣΤΗΡΙΟ",
|
699 |
+
"ΡΥΘΜΙΣΗ ΤΗΣ ΑΓΟΡΑΣ ΕΡΓΑΣΙΑΣ",
|
700 |
+
"ΠΑΡΟΧΟΙ ΚΙΝΗΤΩΝ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ",
|
701 |
+
"ΕΜΠΡΑΓΜΑΤΟΣ ΑΣΦΑΛΕΙΑ",
|
702 |
+
"ΦΟΡΟΛΟΓΙΑ ΑΚΑΘΑΡΙΣΤΟΥ ΠΡΟΣΟΔΟΥ",
|
703 |
+
"ΚΤΗΜΑΤΙΚΕΣ ΤΡΑΠΕΖΕΣ",
|
704 |
+
"ΣΤΑΤΙΣΤΙΚΗ",
|
705 |
+
"ΚΕΡΑΙΕΣ – ΣΤΑΘΜΟΙ ΚΕΡΑΙΩΝ",
|
706 |
+
"ΠΟΙΝΙΚΟΣ ΝΟΜΟΣ",
|
707 |
+
"ΜΕΣΑ ΔΙΔΑΣΚΑΛΙΑΣ",
|
708 |
+
"ΕΜΠΟΡΙΟ ΦΑΡΜΑΚΩΝ",
|
709 |
+
"ΔΙΑΦΟΡΑ",
|
710 |
+
"ΔΗΜΟΣΙΑ ΚΤΗΜΑΤΑ",
|
711 |
+
"ΕΙΣΦΟΡΕΣ Ι.Κ.Α",
|
712 |
+
"ΚΑΤΑΓΓΕΛΙΑ ΣΥΜΒΑΣΕΩΣ ΕΡΓΑΣΙΑΣ",
|
713 |
+
"ΠΡΟΣΩΠΙΚΟ ΠΟΛΙΤΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
714 |
+
"ΔΗΜΟΣΙΟ ΧΡΕΟΣ",
|
715 |
+
"ΑΠΟΤΑΜΙΕΥΣΗ",
|
716 |
+
"ΑΛΛΟΘΡΗΣΚΟΙ",
|
717 |
+
"ΠΛΟΗΓΙΚΗ ΥΠΗΡΕΣΙΑ",
|
718 |
+
"ΤΥΠΟΣ ΚΑΙ ΠΛΗΡΟΦΟΡΙΕΣ",
|
719 |
+
"ΤΡΟΠΟ��ΟΙΗΣΗ ΚΑΙ ΚΑΤΑΡΓΗΣΗ ΤΗΣ ΠΟΙΝΗΣ",
|
720 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ ΤΥΠΟΥ",
|
721 |
+
"ΟΙΚΟΓΕΝΕΙΑΚΟ ΔΙΚΑΙΟ",
|
722 |
+
"ΔΙΟΙΚΗΣΗ ΕΘΝΙΚΗΣ ΟΙΚΟΝΟΜΙΑΣ",
|
723 |
+
"ΥΠΟΥΡΓΕΙΟ ΕΘΝΙΚΗΣ ΑΜΥΝΑΣ",
|
724 |
+
"ΔΙΕΘΝΕΙΣ ΣΥΜΒΑΣΕΙΣ ΠΡΟΝΟΙΑΣ",
|
725 |
+
"ΠΡΟΣΩΠΙΚΟ ΤΩΝ ΔΙΚΑΣΤΗΡΙΩΝ",
|
726 |
+
"ΠΡΟΣΤΑΣΙΑ ΠΡΟΣΩΠΩΝ ΕΙΔΙΚΩΝ ΚΑΤΗΓΟΡΙΩΝ",
|
727 |
+
"ΠΑΡΟΧΕΣ ΑΣΘΕΝΕΙΑΣ",
|
728 |
+
"ΜΕΤΑΝΑΣΤΕΥΣΗ",
|
729 |
+
"ΥΠΟΥΡΓΕΙΟ ΠΑΙΔΕΙΑΣ",
|
730 |
+
"ΑΣΦΑΛΕΙΑ ΝΑΥΣΙΠΛΟΪΑΣ",
|
731 |
+
"ΟΔΟΠΟΙΪΑ",
|
732 |
+
"ΣΤΡΑΤΟΔΙΚΕΙΑ",
|
733 |
+
"ΜΙΣΘΩΣΗ",
|
734 |
+
"ΕΙΣΠΡΑΞΗ ΔΗΜΟΣΙΩΝ ΕΣΟΔΩΝ",
|
735 |
+
"ΟΠΛΙΤΕΣ ΚΑΙ ΑΝΘΥΠΑΣΠΙΣΤΕΣ",
|
736 |
+
"ΟΡΓΑΝΙΣΜΟΣ ΤΗΛΕΠΙΚΟΙΝΩΝΙΩΝ ΕΛΛΑΔΑΣ (Ο.Τ.Ε.)",
|
737 |
+
"ΌΡΓΑΝΑ ΆΣΚΗΣΗΣ ΔΙΑΧΕΙΡΙΣΤΙΚΟΎ ΕΛΈΓΧΟΥ ΟΡΓΑΝΙΣΜΏΝ ΚΑΙ ΕΠΙΧΕΙΡΉΣΕΩΝ",
|
738 |
+
"ΠΟΙΝΙΚΗ ΝΟΜΟΘΕΣΙΑ ΤΥΠΟΥ",
|
739 |
+
"ΕΞΑΓΩΓΙΚΟ ΕΜΠΟΡΙΟ",
|
740 |
+
"ΑΕΡΟΠΟΡΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
741 |
+
"ΓΕΩΡΓΙΚΟΙ ΣΥΝΕΤΑΙΡΙΣΜΟΙ ΑΓΡΟΤΙΚΕΣ ΣΥΝΕΤΑΙΡΙΣΤΙΚΕΣ ΟΡΓΑΝΩΣΕΙΣ",
|
742 |
+
"ΟΙΚΟΝΟΜΙΚΕΣ ΥΠΗΡΕΣΙΕΣ",
|
743 |
+
"ΟΧΥΡΩΣΕΙΣ",
|
744 |
+
"ΕΚΤΑΚΤΟΙ ΠΟΙΝΙΚΟΙ ΝΟΜΟΙ",
|
745 |
+
"ΕΚΤΕΛΕΣΗ",
|
746 |
+
"ΔΙΟΙΚΗΤΙΚΟΙ ΚΑΝΟΝΙΣΜΟΙ",
|
747 |
+
"ΥΔΡΑΥΛΙΚΑ ΕΡΓΑ",
|
748 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ ΔΗΜΟΣΙΩΝ ΥΠΑΛΛΗΛΩΝ",
|
749 |
+
"ΕΚΚΑΘΑΡΙΣΕΙΣ ΔΗΜΟΣΙΩΝ ΥΠΑΛΛΗΛΩΝ",
|
750 |
+
"ΔΙΟΙΚΗΣΗ ΕΜΠΟΡΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
751 |
+
"ΑΝΩΤΑΤΟ ΕΙΔΙΚΟ ΔΙΚΑΣΤΗΡΙΟ",
|
752 |
+
"ΑΡΤΟΣ",
|
753 |
+
"ΕΙΣΑΓΩΓΙΚΟ ΕΜΠΟΡΙΟ",
|
754 |
+
"ΑΛΙΕΙΑ",
|
755 |
+
"ΕΚΚΛΗΣΙΑΣΤΙΚΗ ΠΕΡΙΟΥΣΙΑ",
|
756 |
+
"ΔΙΑΦΟΡΑ ΔΗΜΟΣΙΑ ΕΡΓΑ",
|
757 |
+
"ΜΟΝΕΣ",
|
758 |
+
"ΠΡΟΕΔΡΟΣ ΤΗΣ ΔΗΜΟΚΡΑΤΙΑΣ ΚΑΙ ΠΡΟΕΔΡΙΑ ΤΗΣ ΔΗΜΟΚΡΑΤΙΑΣ",
|
759 |
+
"ΠΟΛΥΕΘΝΕΙΣ ΟΡΓΑΝΙΣΜΟΙ",
|
760 |
+
"ΑΡΧΑΙΟΤΗΤΕΣ",
|
761 |
+
"ΝΑΟΙ ΚΑΙ ΛΕΙΤΟΥΡΓΟΙ ΑΥΤΩΝ",
|
762 |
+
"ΕΚΚΛΗΣΙΑΣΤΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
763 |
+
"ΕΝΙΣΧΥΣΙΣ ΤΗΣ ΓΕΩΡΓΙΑΣ",
|
764 |
+
"ΕΚΘΕΣΕΙΣ",
|
765 |
+
"ΠΡΟΣΤΑΣΙΑ ΤΩΝ ΣΥΝΑΛΛΑΓΩΝ",
|
766 |
+
"ΑΣΦΑΛΙΣΗ",
|
767 |
+
"ΚΤΗΝΟΤΡΟΦΙΑ",
|
768 |
+
"ΕΚΠΑΙΔΕΥΤΙΚΑ ΤΕΛΗ",
|
769 |
+
"ΔΙΟΙΚΗΣΗ ΕΚΠΑΙΔΕΥΣΕΩΣ",
|
770 |
+
"ΤΑΜΕΙΟ ΠΑΡΑΚΑΤΑΘΗΚΩΝ ΚΑΙ ΔΑΝΕΙΩΝ",
|
771 |
+
"ΑΓΑΘΟΕΡΓΑ ΙΔΡΥΜΑΤΑ",
|
772 |
+
"ΦΟΡΟΛΟΓΙΚΑ ΔΙΚΑΣΤΗΡΙΑ",
|
773 |
+
"ΦΟΡΟΙ ΚΑΤΑΝΑΛΩΣΕΩΣ",
|
774 |
+
"ΒΙΒΛΙΟΘΗΚΕΣ-ΠΡΟΣΤΑΣΙΑ ΒΙΒΛΙΟΥ-ΔΙΑΔΟΣΗ ΛΟΓΟΤΕΧΝΙΑΣ",
|
775 |
+
"ΤΗΛΕΠΙΚΟΙΝΩΝΙΑΚΕΣ ΚΑΙ ΤΑΧΥΔΡΟΜΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
776 |
+
"ΙΔΙΩΤΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
777 |
+
"ΤΗΛΕΠΙΚΟΙΝΩΝΙΕΣ",
|
778 |
+
"ΑΣΥΡΜΑΤΟΣ",
|
779 |
+
"ΑΠΟΔΟΧΕΣ ΔΗΜΟΣΙΩΝ ΥΠΑΛΛΗΩΝ",
|
780 |
+
"ΥΓΕΙΟΝΟΜΙΚΗ ΥΠΗΡΕΣΙΑ ΣΤΡΑΤΟΥ",
|
781 |
+
"ΦΑΡΜΑΚΕΙΑ",
|
782 |
+
"ΔΗΜΟΣΙΟ ΛΟΓΙΣΤΙΚΟ",
|
783 |
+
"ΝΑΥΤΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
784 |
+
"ΕΞΥΠΗΡΕΤΗΣΗ ΠΟΛΙΤΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
785 |
+
"ΠΑΡΟΧΕΣ Ι.Κ.Α",
|
786 |
+
"ΓΕΝΙΚΑ ΥΓΕΙΟΝΟΜΙΚΑ ΜΕΤΡΑ",
|
787 |
+
"ΕΚΜΕΤΑΛΛΕΥΣΗ ΘΑΛΑΣΣΙΩΝ ΣΥΓΚΟΙΝΩΝΙΩΝ",
|
788 |
+
"ΠΡΟΣΩΠΙΚΟ ΤΑΧΥΔΡΟΜΕΙΩΝ",
|
789 |
+
"ΕΚΤΕΛΕΣΤΙΚΗ ΕΞΟΥΣΙΑ",
|
790 |
+
"ΣΥΣΤΑΣΗ ΚΑΙ ΕΔΡΑ ΤΟΥ ΚΡΑΤΟΥΣ",
|
791 |
+
"ΦΟΡΟΛΟΓΙΑ ΔΙΑΣΚΕΔΑΣΕΩΝ",
|
792 |
+
"ΤΗΛΕΦΩΝΑ",
|
793 |
+
"ΣΤΡΑΤΟΛΟΓΙΑ",
|
794 |
+
"ΕΚΠΑΙΔΕΥΣΗ ΕΡΓΑΤΩΝ",
|
795 |
+
"ΥΠΟΥΡΓΕΙΟ ΠΟΛΙΤΙΣΜΟΥ",
|
796 |
+
"ΦΟΡΟΛΟΓΙΑ ΟΙΝΟΠΝΕΥΜΑΤΩΔΩΝ ΠΟΤΩΝ",
|
797 |
+
"ΥΠΟΥΡΓΕΙΟ ΓΕΩΡΓΙΑΣ",
|
798 |
+
"ΣΩΜΑΤΕΙΑ",
|
799 |
+
"ΕΙΔΙΚΕΣ ΜΟΡΦΕΣ ΑΠΑΣΧΟΛΗΣΗΣ",
|
800 |
+
"ΥΠΟΥΡΓΕΙΟ ΔΙΚΑΙΟΣΥΝΗΣ",
|
801 |
+
"ΝΑΥΤΙΛΙΑΚΟΙ ΟΡΓΑΝΙΣΜΟΙ",
|
802 |
+
"ΤΟΥΡΙΣΜΟΣ",
|
803 |
+
"ΚΑΠΝΟΣ",
|
804 |
+
"ΠΡΟΣΤΑΣΙΑ ΗΘΩΝ",
|
805 |
+
"ΕΙΔΙΚΕΣ ΥΠΗΡΕΣΙΕΣ ΝΑΥΤΙΚΟΥ",
|
806 |
+
"ΑΠΟΔΟΧΕΣ ΣΤΡΑΤΙΩΤΙΚΩΝ",
|
807 |
+
"ΠΡΟΝΟΙΑ ΠΛΗΡΩΜΑΤΩΝ Ε.Ν",
|
808 |
+
"ΕΙΔΙΚΕΣ ΔΙΑΤΑΞΕΙΣ ΠΕΡΙ ΑΝΩΝ.ΕΤΑΙΡΕΙΩΝ",
|
809 |
+
"ΔΗΜΟΣΙΑ ΔΙΟΙΚΗΣΗ",
|
810 |
+
"ΤΟΠΙΚΑ ΣΧΕΔΙΑ ΠΟΛΕΩΝ",
|
811 |
+
"ΠΡΟΣΤΑΣΙΑ ΠΑΙΔΙΚΗΣ ΗΛΙΚΙΑΣ",
|
812 |
+
"ΕΛΛΗ��ΙΚΗ ΑΣΤΥΝΟΜΙΑ",
|
813 |
+
"ΛΙΜΕΝΙΚΟ ΣΩΜΑ",
|
814 |
+
"ΤΟΥΡΙΣΤΙΚΗ ΑΣΤΥΝΟΜΙΑ",
|
815 |
+
"ΒΙΟΜΗΧΑΝΙΑ",
|
816 |
+
"ΣΧΟΛΕΣ ΠΑΝΕΠΙΣΤΗΜΙΟΥ ΑΘΗΝΩΝ",
|
817 |
+
"ΑΣΦΑΛΙΣΤΙΚΟΙ ΟΡΓΑΝΙΣΜΟΙ ΣΤΡΑΤΟΥ",
|
818 |
+
"ΑΛΥΚΕΣ",
|
819 |
+
"ΕΣΩΤΕΡΙΚΟ ΕΜΠΟΡΙΟ",
|
820 |
+
"ΕΘΝΙΚΟ ΣΥΣΤΗΜΑ ΥΓΕΙΑΣ",
|
821 |
+
"ΝΟΜΟΘΕΤΙΚΗ ΕΞΟΥΣΙΑ",
|
822 |
+
"ΔΙΟΙΚΗΣH ΚΟΙΝΩΝIKΗΣ ΠΡΟΝΟΙΑΣ",
|
823 |
+
"ΠΛΗΡΩΜΑΤΑ",
|
824 |
+
"ΜΑΘΗΤΙΚΗ ΠΡΟΝΟΙΑ",
|
825 |
+
"ΔΙΟΙΚΗΣΗ ΤΥΠΟΥ ΚΑΙ ΤΟΥΡΙΣΜΟΥ",
|
826 |
+
"ΕΠΟΙΚΙΣΜΟΣ",
|
827 |
+
"ΤΡΟΧΙΟΔΡΟΜΟΙ",
|
828 |
+
"ΕΠΑΓΓΕΛΜΑΤΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
829 |
+
"ΑΕΡΟΠΟΡΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
830 |
+
"ΥΠΟΥΡΓΕΙΟ ΕΘΝΙΚΗΣ ΟΙΚΟΝΟΜΙΑΣ",
|
831 |
+
"ΘΕΑΤΡΟ",
|
832 |
+
"ΥΔΡΕΥΣΗ",
|
833 |
+
"ΔΙΕΘΝΕΙΣ ΣΤΡΑΤΙΩΤΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
834 |
+
"ΕΘΝΙΚΟ ΜΕΤΣΟΒΙΟ ΠΟΛΥΤΕΧΝΕΙΟ",
|
835 |
+
"ΥΠΟΥΡΓΕΙΟ ΕΞΩΤΕΡΙΚΩΝ",
|
836 |
+
"ΕΥΡΩΠΑΪΚΟΙ ΠΟΛΥΕΘΝΕΙΣ ΟΡΓΑΝΙΣΜΟΙ",
|
837 |
+
"ΕΛΕΥΘΕΡΙΑ ΤΗΣ ΕΡΓΑΣΙΑΣ",
|
838 |
+
"ΥΠΟΥΡΓΕΙΟ ΕΣΩΤΕΡΙΚΩΝ ΔΗΜ.ΔΙΟΙΚΗΣΗΣ ΚΑΙ ΑΠΟΚΕΝΤΡΩΣΗΣ",
|
839 |
+
"ΔΙΑΦΟΡΕΣ ΕΝΟΧΙΚΕΣ ΣΧΕΣΕΙΣ",
|
840 |
+
"ΛΗΞΙΑΡΧΕΙΑ",
|
841 |
+
"ΕΙΔΙΚΟΙ ΚΑΝΟΝΙΣΜΟΙ",
|
842 |
+
"ΤΕΛΩΝΕΙΑΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
843 |
+
"ΝΑΥΤΙΚΟ ΠΟΙΝΙΚΟ ΔΙΚΑΙΟ",
|
844 |
+
"ΣΤΕΓΑΣΗ ΔΗΜΟΣΙΩΝ ΥΠΗΡΕΣΙΩΝ",
|
845 |
+
"ΠΛΗΡΩΜΑΤΑ ΠΟΛΕΜΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
846 |
+
"ΣΥΝΤΑΓΜΑΤΙΚΟΣ ΧΑΡΤΗΣ",
|
847 |
+
"ΗΛΕΚΤΡΙΣΜΟΣ",
|
848 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΔΙΚΑΣΤΗΡΙΑ",
|
849 |
+
"ΛΕΣΧΕΣ ΕΛΛΗΝΙΚΗΣ ΑΣΤΥΝΟΜΙΑΣ",
|
850 |
+
"ΥΠΟΥΡΓΕΙΟ ΔΗΜΟΣΙΑΣ TAΞΗΣ",
|
851 |
+
"ΕΚΤΕΛΕΣ ΔΗΜΟΣΙΩΝ ΕΡΓΩΝ",
|
852 |
+
"ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΟΝΙΚΗΣ",
|
853 |
+
"ΔΑΣΙΚΗ ΝΟΜΟΘΕΣΙΑ",
|
854 |
+
"ΕΙΔΙΚΕΣ ΑΝΩΤΑΤΕΣ ΣΧΟΛΕΣ",
|
855 |
+
"ΕΔΑΦΟΣ ΤΟΥ ΕΛΛΗΝΙΚΟΥ ΚΡΑΤΟΥΣ",
|
856 |
+
"ΔΙΚΗΓΟΡΟΙ",
|
857 |
+
"ΔΙΚΑΙΟ ΤΩΝ ΠΡΟΣΩΠΩΝ",
|
858 |
+
"ΔΙΟΙΚΗΣΗ ΤΑΧΥΔΡΟΜΙΚΗΣ, ΤΗΛΕΓΡΑΦΙΚΗΣ",
|
859 |
+
"ΣΧΟΛΙΚΑ ΚΤΙΡΙΑ ΚΑΙ ΤΑΜΕΙΑ",
|
860 |
+
"ΑΕΡΟΛΙΜΕΝΕΣ",
|
861 |
+
"ΥΠΟΘΗΚΟΦΥΛΑΚΕΙΑ",
|
862 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ ΠΡΟΣΩΠΙΚΟΥ ΥΠΟΥΡΓΕΙΟΥ ΔΗΜΟΣΙΑΣ ΤΑΞΗΣ",
|
863 |
+
"ΔΙΑΧΕΙΡΙΣΕΙΣ ΤΟΥ ΔΗΜΟΣΙΟΥ",
|
864 |
+
"ΕΜΠΡΑΓΜΑΤΟ ΔΙΚΑΙΟ",
|
865 |
+
"ΦΟΡΤΟΕΚΦΟΡΤΩΣΕΙΣ",
|
866 |
+
"ΑΝΩΝΥΜΕΣ ΕΤΑΙΡΕΙΕΣ",
|
867 |
+
"ΕΙΔΙΚΟΙ ΕΠΙΣΙΤΙΣΤΙΚΟΙ ΝΟΜΟΙ",
|
868 |
+
"ΕΚΚΛΗΣΙΕΣ ΑΛΛΟΔΑΠΗΣ",
|
869 |
+
"ΔΙΕΘΝΕΙΣ ΣΥΜΒΑΣΕΙΣ",
|
870 |
+
"ΟΡΓΑΝΙΣΜΟΣ ΑΣΦΑΛΙΣΗΣ ΕΛΕΥΘΕΡΩΝ ΕΠΑΓΓΕΛΜΑΤΙΩΝ",
|
871 |
+
"ΑΣΦΑΛΕΙΑ ΑΕΡΟΠΛΟΪΑΣ",
|
872 |
+
"ΤΑΜΕΙΑ ΑΣΦΑΛΙΣΕΩΣ ΚΑΙ ΑΡΩΓΗΣ",
|
873 |
+
"ΑΝΩΤΑΤΗ ΕΚΠΑΙΔΕΥΣΗ",
|
874 |
+
"ΠΟΛΕΜΙΚΗ ΔΙΑΘΕΣΙΜΟΤΗΤΑ",
|
875 |
+
"ΠΟΙΝΙΚΟ ΚΑΙ ΠΕΙΘΑΡΧΙΚΟ ΔΙΚΑΙΟ",
|
876 |
+
"ΦΟΡΟΛΟΓΙΑ ΕΠΙΤΗΔΕΥΜΑΤΟΣ",
|
877 |
+
"ΕΚΤΑΚΤΕΣ ΦΟΡΟΛΟΓΙΕΣ",
|
878 |
+
"ΠΟΙΝΙΚΗ ΔΙΚΟΝΟΜΙΑ",
|
879 |
+
"ΣΤΟΙΧΕΙΩΔΗΣ ΕΚΠΑΙΔΕΥΣΗ",
|
880 |
+
"ΣΥΜΒΟΥΛΙΟ ΕΠΙΚΡΑΤΕΙΑΣ ΚΑΙ ΔΙΟΙΚΗΤΙΚΑ ΔΙΚΑΣΤΗΡΙΑ",
|
881 |
+
"ΝΟΜΙΚΑ ΠΡΟΣΩΠΑ ΚΑΙ ΕΚΜΕΤΑΛΛΕΥΣΕΙΣ",
|
882 |
+
"ΟΙΚΟΝΟΜΙΚΗ ΔΙΟΙΚΗΣΗ ΝΑΥΤΙΚΟΥ",
|
883 |
+
"ΤΥΠΟΣ",
|
884 |
+
"ΤΑΜΕΙΟ ΑΣΦΑΛΙΣΕΩΣ ΕΠΑΓΓΕΛΜΑΤΙΩΝ",
|
885 |
+
"ΠΑΝΕΠΙΣΤΗΜΙΟ ΙΩΑΝΝΙΝΩΝ",
|
886 |
+
"ΧΡΕΩΓΡΑΦΑ",
|
887 |
+
"ΠΡΟΪΟΝΤΑ ΕΛΑΙΑΣ",
|
888 |
+
"ΕΚΚΛΗΣΙΑ ΙΟΝΙΩΝ ΝΗΣΩΝ",
|
889 |
+
"ΔΙΟΙΚΗΣH ΥΓΙΕΙΝΗΣ",
|
890 |
+
"ΑΕΡΟΠΟΡΙΚΟ ΠΟΙΝΙΚΟ ΔΙΚΑΙΟ",
|
891 |
+
"ΚΑΤΑΠΟΛΕΜΗΣΗ ΝΟΣΩΝ ΚΑΤ’ ΙΔΙΑΝ",
|
892 |
+
"ΕΙΔΙΚΟΙ ΠΟΙΝΙΚΟΙ ΝΟΜΟΙ",
|
893 |
+
"ΘΗΡΑ",
|
894 |
+
"ΥΓΙΕΙΝΗ ΚΑΙ ΑΣΦΑΛΕΙΑ ΕΡΓΑΖΟΜΕΝΩΝ",
|
895 |
+
"ΔΙΟΙΚΗΣΗ ΣΥΓΚΟΙΝΩΝΙΩΝ",
|
896 |
+
"ΑΠΟΣΤΟΛΙΚΗ ΔΙΑΚΟΝΙΑ ΕΚΚΛΗΣΙΑΣ ΤΗΣ ΕΛΛΑΔΟΣ",
|
897 |
+
"ΠΡΟΣΩΡΙΝΕΣ ΑΤΕΛΕΙΕΣ",
|
898 |
+
"ΤΑΧΥΔΡΟΜΙΚΑ ΤΑΜΙΕΥΤΗΡΙΑ",
|
899 |
+
"ΑΝΩΤΑΤΗ ΣΧΟΛΗ ΚΑΛΩΝ ΤΕΧΝΩΝ",
|
900 |
+
"ΔΙΟΙΚΗΣΗ ΕΡΓΑΣΙΑΣ",
|
901 |
+
"ΑΓΙΟΝ ΟΡΟΣ",
|
902 |
+
"ΣΧΟΛΕΣ Π. ΝΑΥΤΙΚΟΥ",
|
903 |
+
"ΤΡΑΠΕΖΕΣ",
|
904 |
+
"ΕΛΕΓΧΟΣ ΚΙΝΗΣΕΩΣ ΜΕ ΤΟ ΕΞΩΤΕΡΙΚΟ",
|
905 |
+
"ΕΙΔΙΚΑΙ ΚΑΤΗΓΟΡΙΑΙ ΠΛΟΙΩΝ",
|
906 |
+
"ΓΕΩΡΓΙΚΗ ΥΓΙΕΙΝΗ",
|
907 |
+
"ΕΞΟΔΑ ΠΟΙΝΙΚΗΣ ΔΙΑΔΙΚΑΣΙΑΣ",
|
908 |
+
"ΕΡΓΑΣΙΑ ΓΥΝΑΙΚΩΝ ΚΑΙ ΑΝΗΛΙΚΩΝ",
|
909 |
+
"ΔΙΟΙΚΗΣΗ ΕΦΟΔΙΑΣΜΟΥ",
|
910 |
+
"ΕΜΠΟΡΙΚΑ ΕΠΑΓΓΕΛΜΑΤΑ",
|
911 |
+
"ΕΚΤΕΛΩΝΙΣΤΕΣ",
|
912 |
+
"ΦΟΡΟΛΟΓΙΑ ΚΛΗΡΟΝΟΜΙΩΝ, ΔΩΡΕΩΝ ΚΛΠ",
|
913 |
+
"ΟΡΓΑΝΙΣΜΟΙ ΥΠΟΥΡΓΕΙΟΥ ΕΡΓΑΣΙΑΣ",
|
914 |
+
"ΕΝΙΣΧΥΣΗ ΕΠΙΣΤΗΜΩΝ ΚΑΙ ΤΕΧΝΩΝ",
|
915 |
+
"ΔΙΑΦΟΡΟΙ ΦΟΡΟΛΟΓΙΚΟΙ ΝΟΜΟΙ",
|
916 |
+
"ΤΕΧΝΙΚΕΣ ΠΡΟΔΙΑΓΡΑΦΕΣ",
|
917 |
+
"ΜΗΤΡΩΑ ΔΗΜΟΤΩΝ",
|
918 |
+
"ΚΑΤΑΣΤΑΣΗ ΔΗΜΟΣΙΩΝ ΥΠΑΛΛΗΛΩΝ",
|
919 |
+
"ΠΡΟΣΩΠΙΚΟΝ ΔΗΜΩΝ ΚΑΙ ΚΟΙΝΟΤΗΤΩΝ",
|
920 |
+
"ΥΓΕΙΟΝΟΜΙΚΗ ΑΝΤΙΛΗΨΗ",
|
921 |
+
"ΤΕΛΗ ΧΑΡΤΟΣΗΜΟΥ",
|
922 |
+
"ΣΤΡΑΤΙΩΤΙΚΟΙ ΓΕΝΙΚΑ",
|
923 |
+
"ΛΙΜΕΝΙΚΕΣ ΑΡΧΕΣ",
|
924 |
+
"ΕΛΕΓΧΟΣ ΚΥΚΛΟΦΟΡΙΑΣ",
|
925 |
+
"ΤΑΜΕΙΟ ΣΥΝΤΑΞΕΩΣ ΚΑΙ ΑΥΤΑΣΦΑΛΙΣΕΩΣ ΥΓΕΙΟΝΟΜΙΚΩΝ",
|
926 |
+
"ΠΟΛΙΤΙΚΗ ΚΑΙ ΟΙΚΟΝΟΜΙΚΗ ΕΠΙΣΤΡΑΤΕΥΣΗ",
|
927 |
+
"ΤΗΛΕΓΡΑΦΟΙ",
|
928 |
+
"ΣΕΙΣΜΟΠΛΗΚΤΟΙ",
|
929 |
+
"ΙΑΜΑΤΙΚΕΣ ΠΗΓΕΣ",
|
930 |
+
"ΙΔΙΩΤΙΚΟ ΝΑΥΤΙΚΟ ΔΙΚΑΙΟ",
|
931 |
+
"ΔΙΕΘΝΕΙΣ ΥΓΕΙΟΝΟΜΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
932 |
+
"ΝΟΜΙΚΑ ΠΡΟΣΩΠΑ ΔΗΜΟΣΙΟΥ ΔΙΚΑΙΟΥ",
|
933 |
+
"ΕΚΚΛΗΣΙΑ ΚΡΗΤΗΣ",
|
934 |
+
"ΠΡΟΣΤΑΣΙΑ ΝΟΜΙΣΜΑΤΟΣ",
|
935 |
+
"ΠΡΟΣΤΑΣΙΑ ΠΡΟΪΟΝΤΩΝ ΑΜΠΕΛΟΥ",
|
936 |
+
"ΑΝΑΠΗΡΟΙ ΚΑΙ ΘΥΜΑΤΑ ΠΟΛΕΜΟΥ",
|
937 |
+
"ΠΑΡΟΧΕΣ ΔΙΑΦΟΡΕΣ",
|
938 |
+
"ΤΟΠΙΚΗ ΑΥΤΟΔΙΟΙΚΗΣΗ",
|
939 |
+
"OΡΓΑΝΩΣΗ ΣΤΡΑΤΟΥ ΞΗΡΑΣ",
|
940 |
+
"ΔΙΑΚΟΠΕΣ ΤΗΣ ΕΡΓΑΣΙΑΣ",
|
941 |
+
"ΟΡΓΑΝΙΣΜΟΣ ΠΟΛΕΜΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
942 |
+
"ΕΠΙΜΕΛΗΤΗΡΙΑ",
|
943 |
+
"ΕΚΚΛΗΣΙΑ ΤΗΣ ΕΛΛΑΔΟΣ",
|
944 |
+
"ΝΑΡΚΩΤΙΚΑ",
|
945 |
+
"ΕΚΜΕΤΑΛΛΕΥΣΗ ΤΑΧΥΔΡΟΜΕΙΩΝ",
|
946 |
+
"ΜΟΥΣΙΚΗ",
|
947 |
+
"ΝΟΜΑΡΧΙΕΣ",
|
948 |
+
"ΠΡΟΣΩΠΙΚΟ ΠΟΛΕΜΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
949 |
+
"ΓΕΝΙΚΟ ΧΗΜΕΙΟ ΤΟΥ ΚΡΑΤΟΥΣ",
|
950 |
+
"ΚΡΑΤΙΚΗ",
|
951 |
+
"ΔΙΟΙΚΗΣΗ ΠΟΛΕΜΙΚΟΥ ΝΑΥΤΙΚΟΥ",
|
952 |
+
"ΠΑΡΟΧΟΙ ΣΤΑΘΕΡΩΝ ΗΛΕΚΤΡΟΝΙΚΩΝ ΕΠΙΚΟΙΝΩΝΙΩΝ",
|
953 |
+
"ΕΠΑΓΓΕΛΜΑΤΙΚΟΣ ΚΙΝΔΥΝΟΣ",
|
954 |
+
"ΕΝΟΧΕΣ ΣΕ ΧΡΥΣΟ ΚΑΙ ΣΥΝΑΛΛΑΓΜΑ",
|
955 |
+
"ΙΠΠΟΠΑΡΑΓΩΓΗ",
|
956 |
+
"ΑΥΤΟΚΙΝΗΤΑ",
|
957 |
+
"ΑΓΟΡΑΝΟΜΙΚΕΣ ΔΙΑΤΑΞΕΙΣ",
|
958 |
+
"ΠΡΟΣΦΥΓΕΣ",
|
959 |
+
"ΔΙΑΦΟΡΑ ΣΤΡΑΤΙΩΤΙΚΑ ΘΕΜΑΤΑ",
|
960 |
+
"ΓΕΝ. ΓΡΑΜΜ. ΒΙΟΜΗΧΑΝΙΑΣ - ΓΕΝ. ΓΡΑΜΜ. ΕΡΕΥΝΑΣ ΚΑΙ ΤΕΧΝΟΛΟΓΙΑΣ",
|
961 |
+
"ΔΙΑΜΕΤΑΚΟΜΙΣΗ",
|
962 |
+
"ΔΙΚΑΙΟΣΤΑΣΙΟ",
|
963 |
+
"ΥΔΑΤΑ",
|
964 |
+
"ΦΟΡΟΛΟΓΙΚΕΣ ΔΙΕΥΚΟΛΥΝΣΕΙΣ ΚΑΙ ΑΠΑΛΛΑΓΕΣ",
|
965 |
+
"ΜΟΝΟΠΩΛΙΑ",
|
966 |
+
"ΕΙΔΙΚΕΣ ΔΙΑΔΙΚΑΣΙΕΣ",
|
967 |
+
"ΠΡΟΝΟΙΑ ΓΙΑ ΤΟΥΣ ΣΤΡΑΤΙΩΤΙΚΟΥΣ",
|
968 |
+
"ΠΟΛΙΤΙΚΗ ΔΙΚΟΝΟΜΙΑ",
|
969 |
+
"ΟΡΓΑΝΩΣΗ ΧΡΟΝΟΥ ΕΡΓΑΣΙΑΣ",
|
970 |
+
"ΠΡΟΣΩΠΙΚΟ ΤΥΠΟΥ",
|
971 |
+
"ΔΙΚΑΣΤΙΚΟΙ ΕΠΙΜΕΛΗΤΕΣ",
|
972 |
+
"ΛΟΥΤΡΟΠΟΛΕΙΣ",
|
973 |
+
"ΤΕΛΩΝΕΙΑΚΟΣ ΚΩΔΙΚΑΣ",
|
974 |
+
"ΤΑΜΕΙΟ ΣΥΝΤΑΞΕΩΝ ΝΟΜΙΚΩΝ",
|
975 |
+
"ΔΙΑΦΟΡΟΙ ΤΕΛΩΝΕΙΑΚΟΙ ΝΟΜΟΙ",
|
976 |
+
"ΔΙΟΙΚΗΣΗ ΠΟΛΙΤΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
977 |
+
"ΑΕΡΟΠΟΡΙΚΕΣ ΕΚΜΕΤΑΛΛΕΥΣΕΙΣ",
|
978 |
+
"ΕΜΠΟΡΙΚΕΣ ΠΡΑΞΕΙΣ",
|
979 |
+
"ΔΙΚΑΣΤΗΡΙΑ",
|
980 |
+
"ΒΑΣΙΛΕΙΑ ΚΑΙ ΑΝΤΙΒΑΣΙΛΕΙΑ",
|
981 |
+
"ΠΡΟΣΩΠΙΚΟ ΠΟΛΕΜΙΚΗΣ ΑΕΡΟΠΟΡΙΑΣ",
|
982 |
+
"ΠΡΟΣΤΑΣΙΑ ΚΑΙ ΚΙΝΗΤΡΑ ΙΔΙΩΤΙΚΩΝ ΕΠΕΝΔΥΣΕΩΝ",
|
983 |
+
"ΒΑΣΙΛΙΚΑ ΙΔΡΥΜΑΤΑ",
|
984 |
+
"ΣΙΔΗΡΟΔΡΟΜΟΙ ΓΕΝΙΚΑ",
|
985 |
+
"ΠΝΕΥΜΑΤΙΚΗ ΙΔΙΟΚΤΗΣΙΑ",
|
986 |
+
"ΔΙΑΦΟΡΑ ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ",
|
987 |
+
"ΥΓΕΙΟΝΟΜΙΚΑ ΕΠΑΓΓΕΛΜΑΤΑ",
|
988 |
+
"ΦΟΡΟΛΟΓΙΑ ΚΑΠΝΟΥ",
|
989 |
+
"ΟΙΚΟΝΟΜΙΚΗ ΔΙΟΙΚΗΣΗ",
|
990 |
+
"ΧΩΡΟΦΥΛΑΚΗ",
|
991 |
+
"ΤΕΛΩΝΕΙΑΚΗ ΥΠΗΡΕΣΙΑ",
|
992 |
+
"ΠΑΝΕΠΙΣΤΗΜΙΟ ΠΑΤΡΩΝ",
|
993 |
+
"ΤΑΜΕΙΟ ΕΠΙΚΟΥΡΙΚΗΣ ΑΣΦΑΛΙΣΕΩΣ ΑΣΦΑΛΙΣΤΩΝ",
|
994 |
+
"ΑΣΦΑΛΙΣΤΙΚΟΙ ΟΡΓΑΝΙΣΜΟΙ",
|
995 |
+
"ΣΤΡΑΤΙΩΤΙΚΑ ΕΡΓΑ ΚΑΙ ΠΡΟΜΗΘΕΙΕΣ",
|
996 |
+
"ΥΠΟΝΟΜΟΙ",
|
997 |
+
"ΦΟΡΟΛΟΓΙΑ ΚΕΦΑΛΑΙΟΥ",
|
998 |
+
"ΕΤΑΙΡ��ΙΕΣ ΠΕΡΙΩΡΙΣΜΕΝΗΣ ΕΥΘΥΝΗΣ",
|
999 |
+
"ΥΠΟΥΡΓΕΊΟ ΚΟΙΝΩΝΙΚΏΝ ΑΣΦΑΛΊΣΕΩΝ",
|
1000 |
+
"ΣΥΜΒΟΛΑΙΟΓΡΑΦΟΙ",
|
1001 |
+
"ΤΑΜΕΙΟ ΑΣΦΑΛΙΣΕΩΣ ΑΡΤΕΡΓΑΤΩΝ",
|
1002 |
+
"ΕΡΓΑ ΚΑΙ ΠΡΟΜΗΘΕΙΕΣ ΔΗΜΩΝ ΚΑΙ ΚΟΙΝΟΤΗΤΩΝ",
|
1003 |
+
"ΕΛΕΓΚΤΙΚΟ ΣΥΝΕΔΡΙΟ",
|
1004 |
+
"ΔΙΑΦΟΡΑ ΕΠΙΣΤΗΜΟΝΙΚΑ ΙΔΡΥΜΑΤΑ",
|
1005 |
+
"ΑΞΙΩΜΑΤΙΚΟΙ ΕΝΟΠΛΩΝ ΔΥΝΑΜΕΩΝ",
|
1006 |
+
"ΤΑΜΕΙΟ ΑΣΦΑΛΙΣΕΩΣ ΕΜΠΟΡΩΝ (Τ.Α.Ε)",
|
1007 |
+
"ΣΤΡΑΤΙΩΤΙΚΗ ΠΟΙΝΙΚΗ",
|
1008 |
+
"ΦΟΡΟΛΟΓΙΑ ΟΙΝΟΠΝΕΥΜΑΤΟΣ",
|
1009 |
+
"ΟΡΓΑΝΙΣΜΟΣ ΓΕΩΡΓΙΚΩΝ ΑΣΦΑΛΙΣΕΩΝ",
|
1010 |
+
"ΣΥΛΛΟΓΙΚΕΣ ΣΥΜΒΑΣΕΙΣ ΕΡΓΑΣΙΑΣ",
|
1011 |
+
"ΧΡΗΜΑΤΙΣΤΗΡΙΑ",
|
1012 |
+
"ΠΟΛΙΤΙΚΑΙ ΚΑΙ ΣΤΡΑΤΙΩΤΙΚΑΙ ΣΥΝΤΑΞΕΙΣ",
|
1013 |
+
"ΚΟΙΝΩΝΙΚΗ ΣΤΕΓΑΣΤΙΚΗ ΣΥΝΔΡΟΜΗ",
|
1014 |
+
"ΚΑΤΟΧΥΡΩΣΗ ΕΠΑΓΓΕΛΜΑΤΩΝ",
|
1015 |
+
"ΦΟΡΟΛΟΓΙΑ ΚΑΘΑΡΑΣ ΠΡΟΣΟΔΟΥ",
|
1016 |
+
"ΠΕΡΙΦΕΡΕΙΕΣ",
|
1017 |
+
"ΕΚΚΛΗΣΙΑΣΤΙΚΗ ΔΙΚΑΙΟΣΥΝΗ",
|
1018 |
+
"ΥΠΟΥΡΓΕΙΟ ΟΙΚΟΝΟΜΙΚΩΝ",
|
1019 |
+
"ΕΘΝΙΚΑ ΚΛΗΡΟΔΟΤΗΜΑΤΑ",
|
1020 |
+
"ΕΓΓΕΙΟΒΕΛΤΙΩΤΙΚΑ ΕΡΓΑ",
|
1021 |
+
"ΛΙΜΕΝΕΣ",
|
1022 |
+
"ΦΥΛΑΚΕΣ",
|
1023 |
+
"ΓΕΩΡΓΙΚΗ ΕΚΠΑΙΔΕΥΣΗ",
|
1024 |
+
"ΠΛΗΡΩΜΗ ΕΡΓΑΣΙΑΣ",
|
1025 |
+
"ΕΜΠΟΡΙΚΟΣ ΝΟΜΟΣ",
|
1026 |
+
"ΙΔΡΥΜΑ ΚΟΙΝΩΝΙΚΩΝ ΑΣΦΑΛΙΣΕΩΝ",
|
1027 |
+
"ΑΣΦΑΛΙΣΤΙΚΑ ΤΑΜΕΙΑ ΤΡΑΠΕΖΩΝ",
|
1028 |
+
"ΕΙΔΙΚΟΙ ΑΓΡΟΤΙΚΟΙ ΝΟΜΟΙ",
|
1029 |
+
"ΔΙΕΘΝΕΙΣ ΔΙΚΟΝΟΜΙΚΕΣ ΣΥΜΒΑΣΕΙΣ",
|
1030 |
+
"ΥΠΟΥΡΓΕΙΑ ΜΑΚΕΔΟΝΙΑΣ–ΘΡΑΚΗΣ, ΑΙΓΑΙΟΥ Κ.Λ.Π",
|
1031 |
+
"ΑΣΤΥΝΟΜΙΚΟΊ ΣΚΎΛΟΙ",
|
1032 |
+
"ΔΙΑΦΟΡΑ ΘΕΜΑΤΑ",
|
1033 |
+
"ΕΚΔΟΣΗ ΕΓΚΛΗΜΑΤΙΩΝ",
|
1034 |
+
"ΑΓΟΡΑΝΟΜΙΑ",
|
1035 |
+
"ΔΙΚΑΣΤΙΚΟ ΤΟΥ ΔΗΜΟΣΙΟΥ",
|
1036 |
+
"ΑΣΤΙΚΟΣ ΚΩΔΙΚΑΣ",
|
1037 |
+
"ΤΕΛΩΝΕΙΑΚΕΣ ΑΤΕΛΕΙΕΣ",
|
1038 |
+
"ΑΓΡΟΤΙΚΕΣ ΜΙΣΘΩΣΕΙΣ",
|
1039 |
+
"ΛΕΩΦΟΡΕΙΑ",
|
1040 |
+
"ΓΕΝΙΚΟΙ ΕΠΙΣΙΤΙΣΤΙΚΟΙ ΝΟΜΟΙ",
|
1041 |
+
"ΑΣΤΥΝΟΜΙΑ ΠΟΛΕΩΝ",
|
1042 |
+
"ΜΗΧΑΝΙΚΟΙ ΚΑΙ ΕΡΓΟΛΑΒΟΙ",
|
1043 |
+
"ΠΟΛΕΜΙΚΕΣ ΣΥΝΤΑΞΕΙΣ",
|
1044 |
+
],
|
1045 |
+
}
|
1046 |
+
_ONLINE_TERMS_OF_SERVICE_UNFAIRNESS_LEVELS = {
|
1047 |
+
"task_type": TaskType.SLTC,
|
1048 |
+
"hf_hub_name": "joelito/online_terms_of_service",
|
1049 |
+
"input_col": "sentence",
|
1050 |
+
"label_col": "unfairness_level",
|
1051 |
+
"url": "http://claudette.eui.eu/corpus_multilingual_NLLP2021.zip",
|
1052 |
+
"description":
|
1053 |
+
"""
|
1054 |
+
We present the first annotated corpus for multilingual analysis of potentially unfair clauses in online Terms of Service [=ToS]. The data set comprises a total of 100 contracts, obtained from 25 documents annotated in four different languages: English, German, Italian, and Polish. For each contract, potentially unfair clauses for the consumer are annotated, for nine different unfairness categories.
|
1055 |
+
"""
|
1056 |
+
,
|
1057 |
+
"citation":
|
1058 |
+
"""
|
1059 |
+
@inproceedings{drawzeski-etal-2021-corpus,
|
1060 |
+
address = {Punta Cana, Dominican Republic},
|
1061 |
+
author = {Drawzeski, Kasper and Galassi, Andrea and Jablonowska, Agnieszka and Lagioia, Francesca and Lippi, Marco and Micklitz, Hans Wolfgang and Sartor, Giovanni and Tagiuri, Giacomo and Torroni, Paolo},
|
1062 |
+
booktitle = {Proceedings of the Natural Legal Language Processing Workshop 2021},
|
1063 |
+
doi = {10.18653/v1/2021.nllp-1.1},
|
1064 |
+
month = {nov},
|
1065 |
+
pages = {1--8},
|
1066 |
+
publisher = {Association for Computational Linguistics},
|
1067 |
+
title = {{A Corpus for Multilingual Analysis of Online Terms of Service}},
|
1068 |
+
url = {https://aclanthology.org/2021.nllp-1.1},
|
1069 |
+
year = {2021}
|
1070 |
+
}
|
1071 |
+
"""
|
1072 |
+
,
|
1073 |
+
"label_classes": ["potentially_unfair", "clearly_unfair", "clearly_fair"],
|
1074 |
+
}
|
1075 |
+
_ONLINE_TERMS_OF_SERVICE_CLAUSE_TOPICS = {
|
1076 |
+
**_ONLINE_TERMS_OF_SERVICE_UNFAIRNESS_LEVELS,
|
1077 |
+
"task_type": TaskType.MLTC,
|
1078 |
+
"label_col": "all_topics",
|
1079 |
+
"label_classes": ["a", "ch", "cr", "j", "law", "ltd", "ter", "use", "pinc"],
|
1080 |
+
}
|
1081 |
+
_COVID19_EMERGENCY_EVENT = {
|
1082 |
+
"task_type": TaskType.MLTC,
|
1083 |
+
"hf_hub_name": "joelito/covid19_emergency_event",
|
1084 |
+
"input_col": "text",
|
1085 |
+
"label_col": "all_events",
|
1086 |
+
"url": "https://github.com/tommasoc80/COVID19_emergency_event",
|
1087 |
+
"description":
|
1088 |
+
"""
|
1089 |
+
This dataset presents a new corpus of legislative documents from 8 European countries (Beglium, France, Hunary, Italy, Netherlands, Norway, Poland, UK) in 7 languages (Dutch, English, French, Hungarian, Italian, Norwegian Bokmål, Polish) manually annotated for exceptional measures against COVID-19. The annotation was done on the sentence level.
|
1090 |
+
"""
|
1091 |
+
,
|
1092 |
+
"citation":
|
1093 |
+
"""
|
1094 |
+
@inproceedings{tziafas-etal-2021-multilingual,
|
1095 |
+
title = "A Multilingual Approach to Identify and Classify Exceptional Measures against {COVID}-19",
|
1096 |
+
author = "Tziafas, Georgios and
|
1097 |
+
de Saint-Phalle, Eugenie and
|
1098 |
+
de Vries, Wietse and
|
1099 |
+
Egger, Clara and
|
1100 |
+
Caselli, Tommaso",
|
1101 |
+
booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2021",
|
1102 |
+
month = nov,
|
1103 |
+
year = "2021",
|
1104 |
+
address = "Punta Cana, Dominican Republic",
|
1105 |
+
publisher = "Association for Computational Linguistics",
|
1106 |
+
url = "https://aclanthology.org/2021.nllp-1.5",
|
1107 |
+
pages = "46--62",
|
1108 |
+
}
|
1109 |
+
"""
|
1110 |
+
,
|
1111 |
+
"label_classes": ["event1", "event2", "event3", "event4", "event5", "event6", "event7", "event8"],
|
1112 |
+
}
|
1113 |
+
_MULTI_EURLEX_LEVEL_1 = {
|
1114 |
+
"task_type": TaskType.MLTC,
|
1115 |
+
"hf_hub_name": "multi_eurlex",
|
1116 |
+
"config_name": "all_languages",
|
1117 |
+
"input_col": "text",
|
1118 |
+
"label_col": "labels",
|
1119 |
+
"url": "https://github.com/nlpaueb/MultiEURLEX/",
|
1120 |
+
"description":
|
1121 |
+
"""
|
1122 |
+
MultiEURLEX comprises 65k EU laws in 23 official EU languages. Each EU law has been annotated with EUROVOC concepts (labels) by the Publication Office of EU. Each EUROVOC label ID is associated with a label descriptor, e.g., [60, agri-foodstuffs], [6006, plant product], [1115, fruit]. The descriptors are also available in the 23 languages. Chalkidis et al. (2019) published a monolingual (English) version of this dataset, called EUR-LEX, comprising 57k EU laws with the originally assigned gold labels.
|
1123 |
+
"""
|
1124 |
+
,
|
1125 |
+
"citation":
|
1126 |
+
"""
|
1127 |
+
@InProceedings{chalkidis-etal-2021-multieurlex,
|
1128 |
+
author = {Chalkidis, Ilias
|
1129 |
+
and Fergadiotis, Manos
|
1130 |
+
and Androutsopoulos, Ion},
|
1131 |
+
title = {MultiEURLEX -- A multi-lingual and multi-label legal document
|
1132 |
+
classification dataset for zero-shot cross-lingual transfer},
|
1133 |
+
booktitle = {Proceedings of the 2021 Conference on Empirical Methods
|
1134 |
+
in Natural Language Processing},
|
1135 |
+
year = {2021},
|
1136 |
+
publisher = {Association for Computational Linguistics},
|
1137 |
+
location = {Punta Cana, Dominican Republic},
|
1138 |
+
url = {https://arxiv.org/abs/2109.00904}
|
1139 |
+
}
|
1140 |
+
"""
|
1141 |
+
,
|
1142 |
+
"label_classes": [
|
1143 |
+
"100149",
|
1144 |
+
"100160",
|
1145 |
+
"100148",
|
1146 |
+
"100147",
|
1147 |
+
"100152",
|
1148 |
+
"100143",
|
1149 |
+
"100156",
|
1150 |
+
"100158",
|
1151 |
+
"100154",
|
1152 |
+
"100153",
|
1153 |
+
"100142",
|
1154 |
+
"100145",
|
1155 |
+
"100150",
|
1156 |
+
"100162",
|
1157 |
+
"100159",
|
1158 |
+
"100144",
|
1159 |
+
"100151",
|
1160 |
+
"100157",
|
1161 |
+
"100161",
|
1162 |
+
"100146",
|
1163 |
+
"100155"
|
1164 |
+
],
|
1165 |
+
}
|
1166 |
+
_MULTI_EURLEX_LEVEL_2 = {
|
1167 |
+
**_MULTI_EURLEX_LEVEL_1,
|
1168 |
+
"label_classes": [
|
1169 |
+
"100215",
|
1170 |
+
"100211",
|
1171 |
+
"100213",
|
1172 |
+
"100214",
|
1173 |
+
"100209",
|
1174 |
+
"100208",
|
1175 |
+
"100216",
|
1176 |
+
"100210",
|
1177 |
+
"100212",
|
1178 |
+
"100270",
|
1179 |
+
"100273",
|
1180 |
+
"100269",
|
1181 |
+
"100272",
|
1182 |
+
"100276",
|
1183 |
+
"100274",
|
1184 |
+
"100271",
|
1185 |
+
"100268",
|
1186 |
+
"100275",
|
1187 |
+
"100203",
|
1188 |
+
"100201",
|
1189 |
+
"100202",
|
1190 |
+
"100207",
|
1191 |
+
"100205",
|
1192 |
+
"100204",
|
1193 |
+
"100199",
|
1194 |
+
"100206",
|
1195 |
+
"100200",
|
1196 |
+
"100198",
|
1197 |
+
"100192",
|
1198 |
+
"100193",
|
1199 |
+
"100191",
|
1200 |
+
"100196",
|
1201 |
+
"100197",
|
1202 |
+
"100195",
|
1203 |
+
"100194",
|
1204 |
+
"100230",
|
1205 |
+
"100231",
|
1206 |
+
"100229",
|
1207 |
+
"100227",
|
1208 |
+
"100228",
|
1209 |
+
"100226",
|
1210 |
+
"100173",
|
1211 |
+
"100170",
|
1212 |
+
"100172",
|
1213 |
+
"100171",
|
1214 |
+
"100250",
|
1215 |
+
"100245",
|
1216 |
+
"100251",
|
1217 |
+
"100246",
|
1218 |
+
"100248",
|
1219 |
+
"100249",
|
1220 |
+
"100252",
|
1221 |
+
"100247",
|
1222 |
+
"100260",
|
1223 |
+
"100262",
|
1224 |
+
"100261",
|
1225 |
+
"100237",
|
1226 |
+
"100241",
|
1227 |
+
"100238",
|
1228 |
+
"100239",
|
1229 |
+
"100240",
|
1230 |
+
"100234",
|
1231 |
+
"100236",
|
1232 |
+
"100232",
|
1233 |
+
"100235",
|
1234 |
+
"100233",
|
1235 |
+
"100164",
|
1236 |
+
"100166",
|
1237 |
+
"100169",
|
1238 |
+
"100167",
|
1239 |
+
"100165",
|
1240 |
+
"100163",
|
1241 |
+
"100168",
|
1242 |
+
"100178",
|
1243 |
+
"100181",
|
1244 |
+
"100179",
|
1245 |
+
"100184",
|
1246 |
+
"100183",
|
1247 |
+
"100180",
|
1248 |
+
"100182",
|
1249 |
+
"100222",
|
1250 |
+
"100217",
|
1251 |
+
"100219",
|
1252 |
+
"100223",
|
1253 |
+
"100218",
|
1254 |
+
"100220",
|
1255 |
+
"100221",
|
1256 |
+
"100288",
|
1257 |
+
"100285",
|
1258 |
+
"100287",
|
1259 |
+
"100289",
|
1260 |
+
"100286",
|
1261 |
+
"100264",
|
1262 |
+
"100263",
|
1263 |
+
"100265",
|
1264 |
+
"100267",
|
1265 |
+
"100266",
|
1266 |
+
"100177",
|
1267 |
+
"100174",
|
1268 |
+
"100176",
|
1269 |
+
"100175",
|
1270 |
+
"100225",
|
1271 |
+
"100224",
|
1272 |
+
"100256",
|
1273 |
+
"100255",
|
1274 |
+
"100258",
|
1275 |
+
"100253",
|
1276 |
+
"100254",
|
1277 |
+
"100257",
|
1278 |
+
"100259",
|
1279 |
+
"100278",
|
1280 |
+
"100280",
|
1281 |
+
"100284",
|
1282 |
+
"100277",
|
1283 |
+
"100279",
|
1284 |
+
"100282",
|
1285 |
+
"100281",
|
1286 |
+
"100283",
|
1287 |
+
"100190",
|
1288 |
+
"100186",
|
1289 |
+
"100185",
|
1290 |
+
"100188",
|
1291 |
+
"100189",
|
1292 |
+
"100187",
|
1293 |
+
"100244",
|
1294 |
+
"100243",
|
1295 |
+
"100242"
|
1296 |
+
],
|
1297 |
+
}
|
1298 |
+
_MULTI_EURLEX_LEVEL_3 = {
|
1299 |
+
**_MULTI_EURLEX_LEVEL_1,
|
1300 |
+
"label_classes": [
|
1301 |
+
"1754",
|
1302 |
+
"5881",
|
1303 |
+
"c_4ee83dea",
|
1304 |
+
"2479",
|
1305 |
+
"1268",
|
1306 |
+
"181",
|
1307 |
+
"1415",
|
1308 |
+
"2789",
|
1309 |
+
"85",
|
1310 |
+
"3487",
|
1311 |
+
"1820",
|
1312 |
+
"4305",
|
1313 |
+
"2688",
|
1314 |
+
"317",
|
1315 |
+
"3257",
|
1316 |
+
"2459",
|
1317 |
+
"108",
|
1318 |
+
"1004",
|
1319 |
+
"4050",
|
1320 |
+
"1909",
|
1321 |
+
"1916",
|
1322 |
+
"4184",
|
1323 |
+
"3307",
|
1324 |
+
"540",
|
1325 |
+
"965",
|
1326 |
+
"2398",
|
1327 |
+
"4619",
|
1328 |
+
"2496",
|
1329 |
+
"490",
|
1330 |
+
"1690",
|
1331 |
+
"2475",
|
1332 |
+
"1687",
|
1333 |
+
"1221",
|
1334 |
+
"385",
|
1335 |
+
"3300",
|
1336 |
+
"52",
|
1337 |
+
"3318",
|
1338 |
+
"2690",
|
1339 |
+
"4706",
|
1340 |
+
"1700",
|
1341 |
+
"2517",
|
1342 |
+
"1882",
|
1343 |
+
"1417",
|
1344 |
+
"3820",
|
1345 |
+
"4414",
|
1346 |
+
"3879",
|
1347 |
+
"4565",
|
1348 |
+
"3798",
|
1349 |
+
"3809",
|
1350 |
+
"3810",
|
1351 |
+
"1362",
|
1352 |
+
"1401",
|
1353 |
+
"1400",
|
1354 |
+
"3895",
|
1355 |
+
"1398",
|
1356 |
+
"5359",
|
1357 |
+
"1390",
|
1358 |
+
"1386",
|
1359 |
+
"1845",
|
1360 |
+
"1410",
|
1361 |
+
"1834",
|
1362 |
+
"5615",
|
1363 |
+
"1718",
|
1364 |
+
"5614",
|
1365 |
+
"2720",
|
1366 |
+
"2507",
|
1367 |
+
"3587",
|
1368 |
+
"4303",
|
1369 |
+
"1418",
|
1370 |
+
"1388",
|
1371 |
+
"3151",
|
1372 |
+
"1804",
|
1373 |
+
"1630",
|
1374 |
+
"1000",
|
1375 |
+
"1488",
|
1376 |
+
"2489",
|
1377 |
+
"2639",
|
1378 |
+
"1039",
|
1379 |
+
"2656",
|
1380 |
+
"2632",
|
1381 |
+
"929",
|
1382 |
+
"394",
|
1383 |
+
"2698",
|
1384 |
+
"1012",
|
1385 |
+
"2448",
|
1386 |
+
"1018",
|
1387 |
+
"424",
|
1388 |
+
"2510",
|
1389 |
+
"4602",
|
1390 |
+
"2486",
|
1391 |
+
"1809",
|
1392 |
+
"1325",
|
1393 |
+
"1326",
|
1394 |
+
"1321",
|
1395 |
+
"2504",
|
1396 |
+
"1021",
|
1397 |
+
"1310",
|
1398 |
+
"8469",
|
1399 |
+
"285",
|
1400 |
+
"1452",
|
1401 |
+
"2495",
|
1402 |
+
"2149",
|
1403 |
+
"4370",
|
1404 |
+
"1016",
|
1405 |
+
"6332",
|
1406 |
+
"4671",
|
1407 |
+
"3239",
|
1408 |
+
"1850",
|
1409 |
+
"4380",
|
1410 |
+
"3156",
|
1411 |
+
"2520",
|
1412 |
+
"5842",
|
1413 |
+
"2519",
|
1414 |
+
"2292",
|
1415 |
+
"2128",
|
1416 |
+
"614",
|
1417 |
+
"c_4c7717f3",
|
1418 |
+
"2487",
|
1419 |
+
"2449",
|
1420 |
+
"2450",
|
1421 |
+
"1786",
|
1422 |
+
"1810",
|
1423 |
+
"524",
|
1424 |
+
"2488",
|
1425 |
+
"87",
|
1426 |
+
"5268",
|
1427 |
+
"13",
|
1428 |
+
"474",
|
1429 |
+
"4291",
|
1430 |
+
"138",
|
1431 |
+
"3193",
|
1432 |
+
"139",
|
1433 |
+
"3584",
|
1434 |
+
"11",
|
1435 |
+
"3185",
|
1436 |
+
"1155",
|
1437 |
+
"54",
|
1438 |
+
"2474",
|
1439 |
+
"802",
|
1440 |
+
"539",
|
1441 |
+
"3581",
|
1442 |
+
"4413",
|
1443 |
+
"1164",
|
1444 |
+
"1154",
|
1445 |
+
"813",
|
1446 |
+
"5985",
|
1447 |
+
"445",
|
1448 |
+
"4189",
|
1449 |
+
"4703",
|
1450 |
+
"4300",
|
1451 |
+
"69",
|
1452 |
+
"2469",
|
1453 |
+
"3582",
|
1454 |
+
"554",
|
1455 |
+
"3451",
|
1456 |
+
"2628",
|
1457 |
+
"2647",
|
1458 |
+
"3423",
|
1459 |
+
"2464",
|
1460 |
+
"1346",
|
1461 |
+
"3461",
|
1462 |
+
"3474",
|
1463 |
+
"3467",
|
1464 |
+
"2189",
|
1465 |
+
"3476",
|
1466 |
+
"2500",
|
1467 |
+
"4697",
|
1468 |
+
"6722",
|
1469 |
+
"3450",
|
1470 |
+
"99",
|
1471 |
+
"3074",
|
1472 |
+
"2460",
|
1473 |
+
"3489",
|
1474 |
+
"2734",
|
1475 |
+
"2723",
|
1476 |
+
"5877",
|
1477 |
+
"711",
|
1478 |
+
"1277",
|
1479 |
+
"2711",
|
1480 |
+
"2443",
|
1481 |
+
"2442",
|
1482 |
+
"1063",
|
1483 |
+
"651",
|
1484 |
+
"2505",
|
1485 |
+
"2972",
|
1486 |
+
"2477",
|
1487 |
+
"2493",
|
1488 |
+
"4363",
|
1489 |
+
"4412",
|
1490 |
+
"4630",
|
1491 |
+
"2014",
|
1492 |
+
"5962",
|
1493 |
+
"1372",
|
1494 |
+
"2320",
|
1495 |
+
"3544",
|
1496 |
+
"1652",
|
1497 |
+
"5913",
|
1498 |
+
"2476",
|
1499 |
+
"3605",
|
1500 |
+
"2551",
|
1501 |
+
"4358",
|
1502 |
+
"2814",
|
1503 |
+
"937",
|
1504 |
+
"962",
|
1505 |
+
"2707",
|
1506 |
+
"2481",
|
1507 |
+
"2817",
|
1508 |
+
"4185",
|
1509 |
+
"2914",
|
1510 |
+
"2478",
|
1511 |
+
"3797",
|
1512 |
+
"4418",
|
1513 |
+
"3641",
|
1514 |
+
"3632",
|
1515 |
+
"3689",
|
1516 |
+
"4415",
|
1517 |
+
"3160",
|
1518 |
+
"2494",
|
1519 |
+
"3101",
|
1520 |
+
"3131",
|
1521 |
+
"4505",
|
1522 |
+
"3092",
|
1523 |
+
"1954",
|
1524 |
+
"2181",
|
1525 |
+
"2015",
|
1526 |
+
"3098",
|
1527 |
+
"4539",
|
1528 |
+
"4522",
|
1529 |
+
"2512",
|
1530 |
+
"4515",
|
1531 |
+
"2184",
|
1532 |
+
"82",
|
1533 |
+
"4543",
|
1534 |
+
"2178",
|
1535 |
+
"557",
|
1536 |
+
"3209",
|
1537 |
+
"5974",
|
1538 |
+
"1627",
|
1539 |
+
"1074",
|
1540 |
+
"4299",
|
1541 |
+
"2468",
|
1542 |
+
"3522",
|
1543 |
+
"1163",
|
1544 |
+
"2491",
|
1545 |
+
"3273",
|
1546 |
+
"5275",
|
1547 |
+
"1737",
|
1548 |
+
"1802",
|
1549 |
+
"4276",
|
1550 |
+
"2180",
|
1551 |
+
"2258",
|
1552 |
+
"4436",
|
1553 |
+
"41",
|
1554 |
+
"3232",
|
1555 |
+
"2242",
|
1556 |
+
"53",
|
1557 |
+
"2246",
|
1558 |
+
"2166",
|
1559 |
+
"77",
|
1560 |
+
"6034",
|
1561 |
+
"3062",
|
1562 |
+
"517",
|
1563 |
+
"2702",
|
1564 |
+
"2703",
|
1565 |
+
"4157",
|
1566 |
+
"1748",
|
1567 |
+
"695",
|
1568 |
+
"4750",
|
1569 |
+
"558",
|
1570 |
+
"2186",
|
1571 |
+
"4367",
|
1572 |
+
"1953",
|
1573 |
+
"883",
|
1574 |
+
"2370",
|
1575 |
+
"1282",
|
1576 |
+
"2573",
|
1577 |
+
"3025",
|
1578 |
+
"1453",
|
1579 |
+
"2152",
|
1580 |
+
"2001",
|
1581 |
+
"4045",
|
1582 |
+
"4179",
|
1583 |
+
"4704",
|
1584 |
+
"5789",
|
1585 |
+
"3935",
|
1586 |
+
"4222",
|
1587 |
+
"5371",
|
1588 |
+
"2701",
|
1589 |
+
"1538",
|
1590 |
+
"5400",
|
1591 |
+
"3929",
|
1592 |
+
"523",
|
1593 |
+
"584",
|
1594 |
+
"7347",
|
1595 |
+
"3901",
|
1596 |
+
"538",
|
1597 |
+
"3900",
|
1598 |
+
"3908",
|
1599 |
+
"3899",
|
1600 |
+
"6922",
|
1601 |
+
"565",
|
1602 |
+
"567",
|
1603 |
+
"4010",
|
1604 |
+
"566",
|
1605 |
+
"1432",
|
1606 |
+
"3513",
|
1607 |
+
"3878",
|
1608 |
+
"3954",
|
1609 |
+
"573",
|
1610 |
+
"2351",
|
1611 |
+
"5923",
|
1612 |
+
"2472",
|
1613 |
+
"1422",
|
1614 |
+
"4486",
|
1615 |
+
"2467",
|
1616 |
+
"668",
|
1617 |
+
"3683",
|
1618 |
+
"3278",
|
1619 |
+
"4705",
|
1620 |
+
"2175",
|
1621 |
+
"4554",
|
1622 |
+
"1426",
|
1623 |
+
"4488",
|
1624 |
+
"1405",
|
1625 |
+
"3028",
|
1626 |
+
"5922",
|
1627 |
+
"873",
|
1628 |
+
"778",
|
1629 |
+
"2059",
|
1630 |
+
"795",
|
1631 |
+
"784",
|
1632 |
+
"4150",
|
1633 |
+
"494",
|
1634 |
+
"486",
|
1635 |
+
"4366",
|
1636 |
+
"1370",
|
1637 |
+
"4361",
|
1638 |
+
"2473",
|
1639 |
+
"2012",
|
1640 |
+
"3855",
|
1641 |
+
"c_415bab24",
|
1642 |
+
"119",
|
1643 |
+
"2188",
|
1644 |
+
"3716",
|
1645 |
+
"4365",
|
1646 |
+
"4826",
|
1647 |
+
"2179",
|
1648 |
+
"6015",
|
1649 |
+
"1455",
|
1650 |
+
"8380",
|
1651 |
+
"2170",
|
1652 |
+
"5286",
|
1653 |
+
"2190",
|
1654 |
+
"2172",
|
1655 |
+
"2167",
|
1656 |
+
"5285",
|
1657 |
+
"2171",
|
1658 |
+
"6157",
|
1659 |
+
"2191",
|
1660 |
+
"90",
|
1661 |
+
"2187",
|
1662 |
+
"5366",
|
1663 |
+
"2767",
|
1664 |
+
"3743",
|
1665 |
+
"1411",
|
1666 |
+
"2498",
|
1667 |
+
"3737",
|
1668 |
+
"2364",
|
1669 |
+
"1274",
|
1670 |
+
"1414",
|
1671 |
+
"744",
|
1672 |
+
"1412",
|
1673 |
+
"5350",
|
1674 |
+
"3783",
|
1675 |
+
"753",
|
1676 |
+
"5576",
|
1677 |
+
"5051",
|
1678 |
+
"5620",
|
1679 |
+
"438855",
|
1680 |
+
"1005",
|
1681 |
+
"3258",
|
1682 |
+
"4067",
|
1683 |
+
"5640",
|
1684 |
+
"2163",
|
1685 |
+
"5130",
|
1686 |
+
"5767",
|
1687 |
+
"5769",
|
1688 |
+
"1451",
|
1689 |
+
"5758",
|
1690 |
+
"4304",
|
1691 |
+
"4057",
|
1692 |
+
"4060",
|
1693 |
+
"4040",
|
1694 |
+
"5442",
|
1695 |
+
"26",
|
1696 |
+
"4017",
|
1697 |
+
"5258",
|
1698 |
+
"8473",
|
1699 |
+
"525",
|
1700 |
+
"4479",
|
1701 |
+
"3956",
|
1702 |
+
"3928",
|
1703 |
+
"3952",
|
1704 |
+
"6382",
|
1705 |
+
"3941",
|
1706 |
+
"3949",
|
1707 |
+
"3946",
|
1708 |
+
"5017",
|
1709 |
+
"4314",
|
1710 |
+
"2775",
|
1711 |
+
"239",
|
1712 |
+
"2763",
|
1713 |
+
"6788",
|
1714 |
+
"1360",
|
1715 |
+
"656",
|
1716 |
+
"2418",
|
1717 |
+
"2417",
|
1718 |
+
"5360",
|
1719 |
+
"2412",
|
1720 |
+
"1602",
|
1721 |
+
"2416",
|
1722 |
+
"2414",
|
1723 |
+
"2413",
|
1724 |
+
"1115",
|
1725 |
+
"2737",
|
1726 |
+
"2735",
|
1727 |
+
"2736",
|
1728 |
+
"1258",
|
1729 |
+
"4416",
|
1730 |
+
"6052",
|
1731 |
+
"8301",
|
1732 |
+
"1088",
|
1733 |
+
"7816",
|
1734 |
+
"8189",
|
1735 |
+
"2564",
|
1736 |
+
"2288",
|
1737 |
+
"6138",
|
1738 |
+
"6136",
|
1739 |
+
"1520",
|
1740 |
+
"1506",
|
1741 |
+
"1329",
|
1742 |
+
"337",
|
1743 |
+
"7815",
|
1744 |
+
"c_6acbfd25",
|
1745 |
+
"1184",
|
1746 |
+
"6135",
|
1747 |
+
"7879",
|
1748 |
+
"4840",
|
1749 |
+
"7861",
|
1750 |
+
"7855",
|
1751 |
+
"7868",
|
1752 |
+
"7817",
|
1753 |
+
"7814",
|
1754 |
+
"864",
|
1755 |
+
"281",
|
1756 |
+
"5424",
|
1757 |
+
"311",
|
1758 |
+
"3778",
|
1759 |
+
"1087",
|
1760 |
+
"2287",
|
1761 |
+
"1086",
|
1762 |
+
"911",
|
1763 |
+
"912",
|
1764 |
+
"913",
|
1765 |
+
"909",
|
1766 |
+
"914",
|
1767 |
+
"1587",
|
1768 |
+
"1293",
|
1769 |
+
"1615",
|
1770 |
+
"5259",
|
1771 |
+
"1632",
|
1772 |
+
"1297",
|
1773 |
+
"5302",
|
1774 |
+
"4069",
|
1775 |
+
"1844",
|
1776 |
+
"4607",
|
1777 |
+
"2117",
|
1778 |
+
"8365",
|
1779 |
+
"c_2b2e17b1",
|
1780 |
+
"5283",
|
1781 |
+
"5776",
|
1782 |
+
"c_964c9649",
|
1783 |
+
"4690",
|
1784 |
+
"6205",
|
1785 |
+
"c_b2c019c8",
|
1786 |
+
"7207",
|
1787 |
+
"1794",
|
1788 |
+
"4587",
|
1789 |
+
"8369",
|
1790 |
+
"187",
|
1791 |
+
"4845",
|
1792 |
+
"5083",
|
1793 |
+
"5087",
|
1794 |
+
"2148",
|
1795 |
+
"594",
|
1796 |
+
"5778",
|
1797 |
+
"8278",
|
1798 |
+
"c_c385cfb4",
|
1799 |
+
"5780",
|
1800 |
+
"8366",
|
1801 |
+
"5265",
|
1802 |
+
"1847",
|
1803 |
+
"1105",
|
1804 |
+
"1191",
|
1805 |
+
"8367",
|
1806 |
+
"2106",
|
1807 |
+
"2838",
|
1808 |
+
"727",
|
1809 |
+
"5448",
|
1810 |
+
"3791",
|
1811 |
+
"2858",
|
1812 |
+
"3889",
|
1813 |
+
"956",
|
1814 |
+
"2113",
|
1815 |
+
"2705",
|
1816 |
+
"1765",
|
1817 |
+
"2848",
|
1818 |
+
"2119",
|
1819 |
+
"c_6e703074",
|
1820 |
+
"122",
|
1821 |
+
"5775",
|
1822 |
+
"5434",
|
1823 |
+
"2200",
|
1824 |
+
"1658",
|
1825 |
+
"5435",
|
1826 |
+
"130",
|
1827 |
+
"2079",
|
1828 |
+
"5931",
|
1829 |
+
"4590",
|
1830 |
+
"c_789ead37",
|
1831 |
+
"4483",
|
1832 |
+
"5437",
|
1833 |
+
"5655",
|
1834 |
+
"2616",
|
1835 |
+
"4256",
|
1836 |
+
"1800",
|
1837 |
+
"335",
|
1838 |
+
"427",
|
1839 |
+
"84",
|
1840 |
+
"712",
|
1841 |
+
"2402",
|
1842 |
+
"2497",
|
1843 |
+
"637",
|
1844 |
+
"4006",
|
1845 |
+
"3013",
|
1846 |
+
"3659",
|
1847 |
+
"4362",
|
1848 |
+
"56",
|
1849 |
+
"5848",
|
1850 |
+
"2515",
|
1851 |
+
"3058",
|
1852 |
+
"371",
|
1853 |
+
"343",
|
1854 |
+
"2090",
|
1855 |
+
"2524",
|
1856 |
+
"3549",
|
1857 |
+
"3150",
|
1858 |
+
"3146",
|
1859 |
+
"6011",
|
1860 |
+
"833",
|
1861 |
+
"1707",
|
1862 |
+
"434743",
|
1863 |
+
"1158",
|
1864 |
+
"2470",
|
1865 |
+
"c_98d1408a",
|
1866 |
+
"2825",
|
1867 |
+
"5781"
|
1868 |
+
],
|
1869 |
+
}
|
1870 |
+
_LENER_BR = {
|
1871 |
+
"task_type": TaskType.NER,
|
1872 |
+
"hf_hub_name": "lener_br",
|
1873 |
+
"config_name": "lener_br",
|
1874 |
+
"input_col": "tokens",
|
1875 |
+
"label_col": "ner_tags",
|
1876 |
+
"url": "https://github.com/peluz/lener-br",
|
1877 |
+
"description":
|
1878 |
+
"""
|
1879 |
+
LeNER-Br is a Portuguese language dataset for named entity recognition applied to legal documents. LeNER-Br consists entirely of manually annotated legislation and legal cases texts and contains tags for persons, locations, time entities, organizations, legislation and legal cases. To compose the dataset, 66 legal documents from several Brazilian Courts were collected. Courts of superior and state levels were considered, such as Supremo Tribunal Federal, Superior Tribunal de Justiça, Tribunal de Justiça de Minas Gerais and Tribunal de Contas da União. In addition, four legislation documents were collected, such as "Lei Maria da Penha", giving a total of 70 documents
|
1880 |
+
"""
|
1881 |
+
,
|
1882 |
+
"citation":
|
1883 |
+
"""
|
1884 |
+
@inproceedings{luz_etal_propor2018,
|
1885 |
+
author = {Pedro H. {Luz de Araujo} and Te\'{o}filo E. {de Campos} and
|
1886 |
+
Renato R. R. {de Oliveira} and Matheus Stauffer and
|
1887 |
+
Samuel Couto and Paulo Bermejo},
|
1888 |
+
title = {{LeNER-Br}: a Dataset for Named Entity Recognition in {Brazilian} Legal Text},
|
1889 |
+
booktitle = {International Conference on the Computational Processing of Portuguese ({PROPOR})},
|
1890 |
+
publisher = {Springer},
|
1891 |
+
series = {Lecture Notes on Computer Science ({LNCS})},
|
1892 |
+
pages = {313--323},
|
1893 |
+
year = {2018},
|
1894 |
+
month = {September 24-26},
|
1895 |
+
address = {Canela, RS, Brazil},
|
1896 |
+
doi = {10.1007/978-3-319-99722-3_32},
|
1897 |
+
url = {https://cic.unb.br/~teodecampos/LeNER-Br/},
|
1898 |
+
}
|
1899 |
+
"""
|
1900 |
+
,
|
1901 |
+
"label_classes": [
|
1902 |
+
"O",
|
1903 |
+
"B-ORGANIZACAO",
|
1904 |
+
"I-ORGANIZACAO",
|
1905 |
+
"B-PESSOA",
|
1906 |
+
"I-PESSOA",
|
1907 |
+
"B-TEMPO",
|
1908 |
+
"I-TEMPO",
|
1909 |
+
"B-LOCAL",
|
1910 |
+
"I-LOCAL",
|
1911 |
+
"B-LEGISLACAO",
|
1912 |
+
"I-LEGISLACAO",
|
1913 |
+
"B-JURISPRUDENCIA",
|
1914 |
+
"I-JURISPRUDENCIA",
|
1915 |
+
],
|
1916 |
+
}
|
1917 |
+
_LEGAL_NERO = {
|
1918 |
+
"task_type": TaskType.NER,
|
1919 |
+
"hf_hub_name": "joelito/legalnero",
|
1920 |
+
"input_col": "words",
|
1921 |
+
"label_col": "ner",
|
1922 |
+
"url": "https://zenodo.org/record/4922385",
|
1923 |
+
"description":
|
1924 |
+
"""
|
1925 |
+
LegalNERo is a manually annotated corpus for named entity recognition in the Romanian legal domain. It provides gold annotations for organizations, locations, persons, time and legal resources mentioned in legal documents. Additionally it offers GEONAMES codes for the named entities annotated as location (where a link could be established).
|
1926 |
+
"""
|
1927 |
+
,
|
1928 |
+
"citation":
|
1929 |
+
"""
|
1930 |
+
@dataset{pais_vasile_2021_4922385,
|
1931 |
+
author = {Păiș, Vasile and
|
1932 |
+
Mitrofan, Maria and
|
1933 |
+
Gasan, Carol Luca and
|
1934 |
+
Ianov, Alexandru and
|
1935 |
+
Ghiță, Corvin and
|
1936 |
+
Coneschi, Vlad Silviu and
|
1937 |
+
Onuț, Andrei},
|
1938 |
+
title = {{Romanian Named Entity Recognition in the Legal
|
1939 |
+
domain (LegalNERo)}},
|
1940 |
+
month = may,
|
1941 |
+
year = 2021,
|
1942 |
+
publisher = {Zenodo},
|
1943 |
+
doi = {10.5281/zenodo.4922385},
|
1944 |
+
url = {https://doi.org/10.5281/zenodo.4922385}
|
1945 |
+
}
|
1946 |
+
"""
|
1947 |
+
,
|
1948 |
+
"label_classes": [
|
1949 |
+
"LEGAL",
|
1950 |
+
"LOC",
|
1951 |
+
"ORG",
|
1952 |
+
"PER",
|
1953 |
+
"TIME",
|
1954 |
+
"O",
|
1955 |
+
],
|
1956 |
+
}
|
1957 |
+
_GREEK_LEGAL_NER = {
|
1958 |
+
"task_type": TaskType.NER,
|
1959 |
+
"hf_hub_name": "joelito/greek_legal_ner",
|
1960 |
+
"input_col": "words",
|
1961 |
+
"label_col": "ner",
|
1962 |
+
"url": "http://legislation.di.uoa.gr/publications?language=en",
|
1963 |
+
"description":
|
1964 |
+
"""
|
1965 |
+
This dataset contains an annotated corpus for named entity recognition in Greek legislations. It is the first of its kind for the Greek language in such an extended form and one of the few that examines legal text in a full spectrum entity recognition.
|
1966 |
+
"""
|
1967 |
+
,
|
1968 |
+
"citation":
|
1969 |
+
"""
|
1970 |
+
@inproceedings{Angelidis2018NamedER,
|
1971 |
+
author = {Angelidis, Iosif and Chalkidis, Ilias and Koubarakis, Manolis},
|
1972 |
+
booktitle = {JURIX},
|
1973 |
+
keywords = {greek,legal nlp,named entity recognition},
|
1974 |
+
title = {{Named Entity Recognition, Linking and Generation for Greek Legislation}},
|
1975 |
+
year = {2018}
|
1976 |
+
}
|
1977 |
+
"""
|
1978 |
+
,
|
1979 |
+
"label_classes": [
|
1980 |
+
"FACILITY",
|
1981 |
+
"GPE",
|
1982 |
+
"LEG-REFS",
|
1983 |
+
"LOCATION-NAT",
|
1984 |
+
"LOCATION-UNK",
|
1985 |
+
"ORG",
|
1986 |
+
"PERSON",
|
1987 |
+
"PUBLIC-DOCS",
|
1988 |
+
"O",
|
1989 |
+
],
|
1990 |
+
}
|
1991 |
+
_MAPA_COARSE = {
|
1992 |
+
"task_type": TaskType.NER,
|
1993 |
+
"hf_hub_name": "joelito/mapa",
|
1994 |
+
"input_col": "tokens",
|
1995 |
+
"label_col": "coarse_grained",
|
1996 |
+
"url": "",
|
1997 |
+
"description":
|
1998 |
+
"""
|
1999 |
+
The dataset consists of 12 documents (9 for Spanish due to parsing errors) taken from EUR-Lex, a multilingual corpus of court decisions and legal dispositions in the 24 official languages of the European Union. The documents have been annotated for named entities following the guidelines of the MAPA project which foresees two annotation level, a general and a more fine-grained one. The annotated corpus can be used for named entity recognition/classification.
|
2000 |
+
"""
|
2001 |
+
,
|
2002 |
+
"citation":
|
2003 |
+
"""
|
2004 |
+
@article{DeGibertBonet2022,
|
2005 |
+
author = {{de Gibert Bonet}, Ona and {Garc{\'{i}}a Pablos}, Aitor and Cuadros, Montse and Melero, Maite},
|
2006 |
+
journal = {Proceedings of the Language Resources and Evaluation Conference},
|
2007 |
+
number = {June},
|
2008 |
+
pages = {3751--3760},
|
2009 |
+
title = {{Spanish Datasets for Sensitive Entity Detection in the Legal Domain}},
|
2010 |
+
url = {https://aclanthology.org/2022.lrec-1.400},
|
2011 |
+
year = {2022}
|
2012 |
+
}
|
2013 |
+
"""
|
2014 |
+
,
|
2015 |
+
"label_classes": ['ADDRESS', 'AMOUNT', 'DATE', 'PERSON', 'ORGANISATION', 'TIME', 'VEHICLE', 'O'],
|
2016 |
+
}
|
2017 |
+
_MAPA_FINE = {
|
2018 |
+
**_MAPA_COARSE,
|
2019 |
+
"label_col": "fine_grained",
|
2020 |
+
"label_classes": [
|
2021 |
+
'building',
|
2022 |
+
'city',
|
2023 |
+
'country',
|
2024 |
+
'place',
|
2025 |
+
'postcode',
|
2026 |
+
'street',
|
2027 |
+
'territory',
|
2028 |
+
'unit',
|
2029 |
+
'value',
|
2030 |
+
'year',
|
2031 |
+
'standard abbreviation',
|
2032 |
+
'month',
|
2033 |
+
'day of the week',
|
2034 |
+
'day',
|
2035 |
+
'calender event',
|
2036 |
+
'age',
|
2037 |
+
'email',
|
2038 |
+
'ethnic category',
|
2039 |
+
'family name',
|
2040 |
+
'financial',
|
2041 |
+
'given name – female',
|
2042 |
+
'given name – male',
|
2043 |
+
'health insurance number',
|
2044 |
+
'id document number',
|
2045 |
+
'initial name',
|
2046 |
+
'marital status',
|
2047 |
+
'medical record number',
|
2048 |
+
'nationality',
|
2049 |
+
'profession',
|
2050 |
+
'role',
|
2051 |
+
'social security number',
|
2052 |
+
'title',
|
2053 |
+
'url',
|
2054 |
+
'build year',
|
2055 |
+
'colour',
|
2056 |
+
'license plate number',
|
2057 |
+
'model',
|
2058 |
+
'type',
|
2059 |
+
'o'
|
2060 |
+
],
|
2061 |
+
}
|
2062 |
+
|
2063 |
+
|
2064 |
+
class LEXTREME(datasets.GeneratorBasedBuilder):
|
2065 |
+
"""LEXTREME: A Multilingual Legal Benchmark for Natural Language Understanding. Version 1.0"""
|
2066 |
+
BUILDER_CONFIGS = [
|
2067 |
+
# SLTC tasks
|
2068 |
+
LextremeConfig(name="brazilian_court_decisions_judgment", **_BRAZILIAN_COURT_DECISIONS_JUDGMENT),
|
2069 |
+
LextremeConfig(name="brazilian_court_decisions_unanimity", **_BRAZILIAN_COURT_DECISIONS_UNANIMITY),
|
2070 |
+
LextremeConfig(name="swiss_judgment_prediction", **_SWISS_JUDGMENT_PREDICTION),
|
2071 |
+
LextremeConfig(name="german_argument_mining", **_GERMAN_ARGUMENT_MINING),
|
2072 |
+
LextremeConfig(name="greek_legal_code_volume", **_GREEK_LEGAL_CODE_VOLUME),
|
2073 |
+
LextremeConfig(name="greek_legal_code_chapter", **_GREEK_LEGAL_CODE_CHAPTER),
|
2074 |
+
LextremeConfig(name="greek_legal_code_subject", **_GREEK_LEGAL_CODE_SUBJECT),
|
2075 |
+
LextremeConfig(name="online_terms_of_service_unfairness_levels", **_ONLINE_TERMS_OF_SERVICE_UNFAIRNESS_LEVELS),
|
2076 |
+
# MLTC tasks
|
2077 |
+
LextremeConfig(name="online_terms_of_service_clause_topics", **_ONLINE_TERMS_OF_SERVICE_CLAUSE_TOPICS),
|
2078 |
+
LextremeConfig(name="covid19_emergency_event", **_COVID19_EMERGENCY_EVENT),
|
2079 |
+
LextremeConfig(name="multi_eurlex_level_1", **_MULTI_EURLEX_LEVEL_1),
|
2080 |
+
LextremeConfig(name="multi_eurlex_level_2", **_MULTI_EURLEX_LEVEL_2),
|
2081 |
+
LextremeConfig(name="multi_eurlex_level_3", **_MULTI_EURLEX_LEVEL_3),
|
2082 |
+
# NER tasks
|
2083 |
+
LextremeConfig(name="lener_br", **_LENER_BR),
|
2084 |
+
LextremeConfig(name="legalnero", **_LEGAL_NERO),
|
2085 |
+
LextremeConfig(name="greek_legal_ner", **_GREEK_LEGAL_NER),
|
2086 |
+
LextremeConfig(name="mapa_coarse", **_MAPA_COARSE),
|
2087 |
+
LextremeConfig(name="mapa_fine", **_MAPA_FINE),
|
2088 |
+
]
|
2089 |
+
|
2090 |
+
def _info(self):
|
2091 |
+
input = datasets.Value("string")
|
2092 |
+
label = ClassLabel(names=self.config.label_classes)
|
2093 |
+
if self.config.task_type == TaskType.NER:
|
2094 |
+
input_type = datasets.Sequence(input)
|
2095 |
+
label_type = datasets.Sequence(label)
|
2096 |
+
elif self.config.task_type == TaskType.SLTC:
|
2097 |
+
input_type = input
|
2098 |
+
label_type = label
|
2099 |
+
elif self.config.task_type == TaskType.MLTC:
|
2100 |
+
input_type = input
|
2101 |
+
label_type = datasets.Sequence(label)
|
2102 |
+
else:
|
2103 |
+
raise ValueError(f"task_type {self.config.task_type} is not recognized. "
|
2104 |
+
f"Select one of {TaskType._member_names_}")
|
2105 |
+
|
2106 |
+
return datasets.DatasetInfo(
|
2107 |
+
homepage=self.config.url,
|
2108 |
+
description=self.config.description,
|
2109 |
+
citation=self.config.citation + "\n" + MAIN_CITATION,
|
2110 |
+
features=datasets.Features({
|
2111 |
+
"input": input_type,
|
2112 |
+
"label": label_type,
|
2113 |
+
}),
|
2114 |
+
)
|
2115 |
+
|
2116 |
+
def _split_generators(self, dl_manager):
|
2117 |
+
return [
|
2118 |
+
datasets.SplitGenerator(
|
2119 |
+
name=split,
|
2120 |
+
gen_kwargs={"split": split}, # These kwargs will be passed to _generate_examples
|
2121 |
+
)
|
2122 |
+
for split in [datasets.Split.TRAIN, datasets.Split.VALIDATION, datasets.Split.TEST]
|
2123 |
+
]
|
2124 |
+
|
2125 |
+
def _generate_examples(self, split):
|
2126 |
+
"""This function returns the examples in the raw (text) form."""
|
2127 |
+
# we can just do this, since all our datasets are available on the huggingface hub
|
2128 |
+
dataset = datasets.load_dataset(self.config.hf_hub_name, self.config.config_name, split=split)
|
2129 |
+
for id, item in enumerate(dataset):
|
2130 |
+
# In case we have a class label and not just a string: convert it back to the string
|
2131 |
+
label_col = self.config.label_col
|
2132 |
+
label = item[label_col]
|
2133 |
+
if isinstance(dataset.features[label_col], ClassLabel):
|
2134 |
+
label = dataset.features[label_col].int2str(label)
|
2135 |
+
if self.config.task_type == TaskType.SLTC and label not in self.config.label_classes:
|
2136 |
+
continue # filter out invalid classes to construct ClassLabel
|
2137 |
+
yield id, {
|
2138 |
+
"input": item[self.config.input_col],
|
2139 |
+
"label": label,
|
2140 |
+
}
|