Datasets:
Tasks:
Text Generation
Sub-tasks:
language-modeling
Languages:
German
Size:
10K<n<100K
ArXiv:
Tags:
question-generation
License:
update
Browse files- README.md +118 -0
- generate_reference_files.py +19 -0
- reference_files/answer-test.txt +0 -0
- reference_files/answer-validation.txt +0 -0
- reference_files/paragraph-test.txt +2204 -0
- reference_files/paragraph-validation.txt +2204 -0
- reference_files/question-test.txt +0 -0
- reference_files/question-validation.txt +0 -0
- reference_files/sentence-test.txt +0 -0
- reference_files/sentence-validation.txt +0 -0
README.md
CHANGED
@@ -0,0 +1,118 @@
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1 |
+
---
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2 |
+
license: cc-by-4-0
|
3 |
+
pretty_name: GermanQuAD for question generation
|
4 |
+
languages: de
|
5 |
+
multilinguality: monolingual
|
6 |
+
size_categories: 10K<n<100K
|
7 |
+
source_datasets: deepset/germanquad
|
8 |
+
task_categories: question-generation
|
9 |
+
task_ids: question-generation
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+
---
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11 |
+
|
12 |
+
# Dataset Card for "qg_dequad"
|
13 |
+
|
14 |
+
## Table of Contents
|
15 |
+
- [Dataset Description](#dataset-description)
|
16 |
+
- [Dataset Summary](#dataset-summary)
|
17 |
+
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
|
18 |
+
- [Languages](#languages)
|
19 |
+
- [Dataset Structure](#dataset-structure)
|
20 |
+
- [Data Instances](#data-instances)
|
21 |
+
- [Data Fields](#data-fields)
|
22 |
+
- [Data Splits](#data-splits)
|
23 |
+
- [Dataset Creation](#dataset-creation)
|
24 |
+
- [Curation Rationale](#curation-rationale)
|
25 |
+
- [Source Data](#source-data)
|
26 |
+
- [Annotations](#annotations)
|
27 |
+
- [Personal and Sensitive Information](#personal-and-sensitive-information)
|
28 |
+
- [Considerations for Using the Data](#considerations-for-using-the-data)
|
29 |
+
- [Social Impact of Dataset](#social-impact-of-dataset)
|
30 |
+
- [Discussion of Biases](#discussion-of-biases)
|
31 |
+
- [Other Known Limitations](#other-known-limitations)
|
32 |
+
- [Additional Information](#additional-information)
|
33 |
+
- [Dataset Curators](#dataset-curators)
|
34 |
+
- [Licensing Information](#licensing-information)
|
35 |
+
- [Citation Information](#citation-information)
|
36 |
+
|
37 |
+
## Dataset Description
|
38 |
+
- **Repository:** [https://github.com/asahi417/lm-question-generation](https://github.com/asahi417/lm-question-generation)
|
39 |
+
- **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
40 |
+
- **Point of Contact:** [Asahi Ushio](http://asahiushio.com/)
|
41 |
+
|
42 |
+
### Dataset Summary
|
43 |
+
Modified version of [GermanQuAD-es](https://huggingface.co/datasets/deepset/germanquad) for question generation (QG) task.
|
44 |
+
Since the original dataset only contains training/validation set, we manually sample test set from training set, which
|
45 |
+
has no overlap in terms of the paragraph with the training set.
|
46 |
+
|
47 |
+
### Supported Tasks and Leaderboards
|
48 |
+
* `question-generation`: The dataset can be used to train a model for question generation.
|
49 |
+
Success on this task is typically measured by achieving a high BLEU4/METEOR/ROUGE-L score.
|
50 |
+
|
51 |
+
### Languages
|
52 |
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Spanish (es)
|
53 |
+
|
54 |
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## Dataset Structure
|
55 |
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### Data Instances
|
56 |
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#### plain_text
|
57 |
+
An example of 'train' looks as follows.
|
58 |
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```
|
59 |
+
{
|
60 |
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'answer': 'elektromagnetischer Linearführungen',
|
61 |
+
'question': 'Was kann den Verschleiß des seillosen Aufzuges minimieren?',
|
62 |
+
'sentence': 'Im Rahmen der Forschungen an dem seillosen Aufzug wird ebenfalls an der Entwicklung elektromagnetischer Linearführungen gearbeitet, um den Verschleiß der seillosen Aufzugsanlage bei hohem Fahrkomfort zu minimieren.',
|
63 |
+
'paragraph': "Aufzugsanlage\n\n=== Seilloser Aufzug ===\nAn der RWTH Aachen im Institut für Elektrische Maschinen wurde ein seilloser Aufzug entwickelt und ein Prototyp aufgebaut. Die Kabine wird hierbei durch z..."
|
64 |
+
'sentence_answer': "Im Rahmen der Forschungen an dem seillosen Aufzug wird ebenfalls an der Entwicklung <hl> elektromagnetischer Linearführungen <hl> gearbeitet, um den Verschleiß der seillosen Aufzugsanlage bei...",
|
65 |
+
'paragraph_answer': "Aufzugsanlage === Seilloser Aufzug === An der RWTH Aachen im Institut für Elektrische Maschinen wurde ein seilloser Aufzug entwickelt und ein Prototyp aufgebaut. Die Kabine wird hierbei durc...",
|
66 |
+
'paragraph_sentence': "Aufzugsanlage === Seilloser Aufzug === An der RWTH Aachen im Institut für Elektrische Maschinen wurde ein seilloser Aufzug entwickelt und ein Prototyp aufgebaut. Die Kabine wird hierbei du..."
|
67 |
+
}
|
68 |
+
```
|
69 |
+
### Data Fields
|
70 |
+
The data fields are the same among all splits.
|
71 |
+
#### plain_text
|
72 |
+
- `question`: a `string` feature.
|
73 |
+
- `paragraph`: a `string` feature.
|
74 |
+
- `answer`: a `string` feature.
|
75 |
+
- `sentence`: a `string` feature.
|
76 |
+
- `paragraph_answer`: a `string` feature, which is same as the paragraph but the answer is highlighted by a special token `<hl>`.
|
77 |
+
- `paragraph_sentence`: a `string` feature, which is same as the paragraph but a sentence containing the answer is highlighted by a special token `<hl>`.
|
78 |
+
- `sentence_answer`: a `string` feature, which is same as the sentence but the answer is highlighted by a special token `<hl>`.
|
79 |
+
|
80 |
+
Each of `paragraph_answer`, `paragraph_sentence`, and `sentence_answer` feature is assumed to be used to train a question generation model,
|
81 |
+
but with different information. The `paragraph_answer` and `sentence_answer` features are for answer-aware question generation and
|
82 |
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`paragraph_sentence` feature is for sentence-aware question generation.
|
83 |
+
|
84 |
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### Data Splits
|
85 |
+
|
86 |
+
| name |train|validation|test |
|
87 |
+
|----------|----:|---------:|----:|
|
88 |
+
|plain_text|9314 | 2204 | 2204|
|
89 |
+
|
90 |
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## Dataset Creation
|
91 |
+
### Curation Rationale
|
92 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
93 |
+
### Source Data
|
94 |
+
#### Initial Data Collection and Normalization
|
95 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
96 |
+
#### Who are the source language producers?
|
97 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
98 |
+
### Annotations
|
99 |
+
#### Annotation process
|
100 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
101 |
+
#### Who are the annotators?
|
102 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
103 |
+
### Personal and Sensitive Information
|
104 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
105 |
+
## Considerations for Using the Data
|
106 |
+
### Social Impact of Dataset
|
107 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
108 |
+
### Discussion of Biases
|
109 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
110 |
+
### Other Known Limitations
|
111 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
112 |
+
## Additional Information
|
113 |
+
### Dataset Curators
|
114 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
115 |
+
### Licensing Information
|
116 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
|
117 |
+
### Citation Information
|
118 |
+
[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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generate_reference_files.py
ADDED
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import os
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from glob import glob
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from datasets import load_dataset
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os.makedirs('./reference_files', exist_ok=True)
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for split in ['validation', 'test']:
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dataset = load_dataset('asahi417/qg_dequad', split=split)
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for data in ['question', 'answer', 'sentence', 'paragraph']:
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with open('./reference_files/{}-{}.txt'.format(data, split), 'w') as f:
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if data == 'paragraph':
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tmp_data = dataset['paragraph_id']
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else:
|
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tmp_data = dataset[data]
|
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f.write('\n'.join([i.replace('\n', '.') for i in tmp_data]))
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|
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length = [len(open(i).read().split('\n')) for i in glob(f'reference_files/*{split}.txt')]
|
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assert len(list(set(length))) == 1, length
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reference_files/answer-test.txt
ADDED
The diff for this file is too large to render.
See raw diff
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reference_files/answer-validation.txt
ADDED
The diff for this file is too large to render.
See raw diff
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reference_files/paragraph-test.txt
ADDED
@@ -0,0 +1,2204 @@
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1662 |
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1663 |
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1664 |
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1666 |
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1670 |
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1715 |
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1718 |
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1719 |
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1720 |
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37176
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1721 |
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1722 |
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1723 |
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1724 |
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1726 |
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1727 |
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1728 |
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37003
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1729 |
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1730 |
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1731 |
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1732 |
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1733 |
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1734 |
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37011
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1735 |
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1736 |
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1737 |
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36688
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1738 |
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36689
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1739 |
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1740 |
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36733
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1741 |
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36734
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1742 |
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36735
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1743 |
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36758
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1745 |
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37018
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1746 |
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1747 |
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1748 |
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1749 |
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1759 |
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1762 |
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1763 |
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1764 |
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36749
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36419
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36420
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1810 |
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1811 |
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1812 |
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1813 |
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1814 |
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1815 |
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36728
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1816 |
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37227
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1817 |
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1818 |
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37230
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1819 |
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1820 |
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37680
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1821 |
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37681
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1822 |
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1823 |
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37685
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1824 |
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1825 |
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37324
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1826 |
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37325
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1827 |
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1828 |
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1829 |
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1830 |
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1833 |
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1845 |
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1847 |
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1848 |
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1849 |
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1850 |
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1851 |
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1852 |
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1853 |
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1855 |
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1856 |
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1857 |
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1866 |
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1868 |
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1869 |
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1870 |
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1871 |
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1872 |
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1873 |
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36639
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1874 |
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1875 |
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1876 |
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36423
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1877 |
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1878 |
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36425
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1879 |
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36426
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1880 |
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36427
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1881 |
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1882 |
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1883 |
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36670
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1884 |
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36671
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1885 |
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1886 |
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36665
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1887 |
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36666
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1888 |
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36667
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1889 |
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36668
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1890 |
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36672
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1891 |
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36675
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1892 |
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36677
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1893 |
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36678
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1894 |
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36682
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1895 |
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36684
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1896 |
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36685
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1897 |
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36687
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1898 |
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36699
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1899 |
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36700
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1900 |
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36701
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1901 |
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36702
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1902 |
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36703
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1903 |
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36718
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1904 |
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36719
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1905 |
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1906 |
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37357
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1907 |
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36774
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1908 |
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1909 |
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1910 |
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1911 |
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1912 |
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1913 |
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1914 |
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36784
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1915 |
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1916 |
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1917 |
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36788
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1918 |
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36791
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1919 |
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1920 |
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36793
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1921 |
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37394
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1922 |
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37395
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1923 |
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36803
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1924 |
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36804
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1925 |
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36805
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1926 |
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36807
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1927 |
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36814
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1928 |
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36815
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1929 |
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36817
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1930 |
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36853
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1931 |
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36854
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1932 |
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36855
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1933 |
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36856
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1934 |
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36857
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1935 |
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36858
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1936 |
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37398
|
1937 |
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37400
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1938 |
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37025
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1939 |
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37026
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1940 |
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37028
|
1941 |
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37029
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1942 |
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37031
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1943 |
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36812
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1944 |
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36813
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1945 |
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37195
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1946 |
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37207
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1947 |
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37217
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1948 |
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37218
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1949 |
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37219
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1950 |
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37220
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1951 |
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37222
|
1952 |
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37223
|
1953 |
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37263
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1954 |
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37264
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1955 |
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37265
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1956 |
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37266
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1957 |
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37267
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1958 |
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37270
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1959 |
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37271
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1960 |
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37282
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1961 |
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37283
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1962 |
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37284
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1963 |
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37285
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1964 |
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37286
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1965 |
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37287
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1966 |
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37303
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1967 |
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37304
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1968 |
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37305
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1969 |
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37306
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1970 |
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37307
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1971 |
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37308
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1972 |
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37309
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1973 |
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37319
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1974 |
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37320
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1975 |
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37321
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1976 |
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37237
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1977 |
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37238
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1978 |
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37239
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1979 |
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37240
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1980 |
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37343
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1981 |
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37344
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1982 |
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37385
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1983 |
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37386
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1984 |
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37387
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1985 |
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37428
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1986 |
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37429
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1987 |
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37430
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1988 |
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37431
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1989 |
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37432
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1990 |
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37433
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1991 |
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37434
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1992 |
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37437
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1993 |
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37439
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1994 |
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37440
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1995 |
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37488
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1996 |
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37489
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1997 |
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37490
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1998 |
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37491
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1999 |
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37492
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2000 |
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37493
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2001 |
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37494
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2002 |
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37498
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2003 |
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37499
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2004 |
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37500
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2005 |
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37501
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2006 |
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37517
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2007 |
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37518
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2008 |
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37519
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2009 |
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37569
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2010 |
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37570
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2011 |
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37571
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2012 |
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37572
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2013 |
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37573
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2014 |
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37574
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2015 |
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37578
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2016 |
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37580
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2017 |
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37581
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2018 |
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37582
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2019 |
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37586
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2020 |
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37594
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2021 |
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37615
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2022 |
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37616
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2023 |
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2024 |
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37611
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2025 |
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37624
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2026 |
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37627
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2027 |
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37638
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2028 |
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37647
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2029 |
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37648
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2030 |
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37649
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2031 |
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37650
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2032 |
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37667
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2033 |
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37668
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2034 |
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37669
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2035 |
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37674
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2036 |
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2037 |
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2038 |
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2039 |
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37711
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2040 |
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2041 |
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37715
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2042 |
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2043 |
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37719
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2044 |
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38326
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2045 |
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38327
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2046 |
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38328
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2047 |
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38329
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2048 |
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38330
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2049 |
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38331
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2050 |
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37756
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2051 |
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2052 |
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37759
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2053 |
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37761
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2054 |
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37762
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2055 |
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37763
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2056 |
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37764
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2057 |
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37766
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2058 |
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37768
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2059 |
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37769
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2060 |
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37770
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2061 |
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37772
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2062 |
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37774
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2063 |
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37776
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2064 |
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37346
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2065 |
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37349
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2066 |
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37352
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2067 |
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37354
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2068 |
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2069 |
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2070 |
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37360
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2071 |
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2072 |
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36722
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2073 |
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36723
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2074 |
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37862
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2075 |
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2076 |
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37864
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2077 |
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37865
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2078 |
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37866
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2079 |
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2080 |
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37868
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2081 |
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38037
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2082 |
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38038
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2083 |
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38039
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2084 |
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38040
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2085 |
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38043
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2086 |
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38057
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2087 |
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38059
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2088 |
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38063
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2089 |
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38064
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2090 |
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38122
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2091 |
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38123
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2092 |
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38124
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2093 |
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38125
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2094 |
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2095 |
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38128
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2096 |
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2097 |
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38130
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2098 |
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38168
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2099 |
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38169
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2100 |
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38171
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2101 |
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38172
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2102 |
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2103 |
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38176
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2104 |
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38210
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2105 |
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38212
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2106 |
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38214
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2107 |
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38222
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2108 |
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38225
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2109 |
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37392
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2110 |
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38463
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2111 |
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38464
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2112 |
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38227
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2113 |
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38228
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2114 |
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38229
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2115 |
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38230
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2116 |
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38232
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2117 |
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38234
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2118 |
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38236
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2119 |
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2120 |
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38238
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2121 |
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38239
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2122 |
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38268
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2123 |
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38269
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2124 |
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38270
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2125 |
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2126 |
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38272
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2127 |
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38282
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2128 |
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2129 |
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2130 |
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38308
|
2131 |
+
38309
|
2132 |
+
38320
|
2133 |
+
38321
|
2134 |
+
38322
|
2135 |
+
38323
|
2136 |
+
38324
|
2137 |
+
38325
|
2138 |
+
38467
|
2139 |
+
38468
|
2140 |
+
38026
|
2141 |
+
38027
|
2142 |
+
38474
|
2143 |
+
38488
|
2144 |
+
38478
|
2145 |
+
38479
|
2146 |
+
38480
|
2147 |
+
38481
|
2148 |
+
38537
|
2149 |
+
38539
|
2150 |
+
38510
|
2151 |
+
38512
|
2152 |
+
38522
|
2153 |
+
38525
|
2154 |
+
38590
|
2155 |
+
38591
|
2156 |
+
38592
|
2157 |
+
38593
|
2158 |
+
38594
|
2159 |
+
38595
|
2160 |
+
38596
|
2161 |
+
38597
|
2162 |
+
38598
|
2163 |
+
38599
|
2164 |
+
38600
|
2165 |
+
38601
|
2166 |
+
38603
|
2167 |
+
38606
|
2168 |
+
38607
|
2169 |
+
38608
|
2170 |
+
38609
|
2171 |
+
38610
|
2172 |
+
38611
|
2173 |
+
38612
|
2174 |
+
38786
|
2175 |
+
38787
|
2176 |
+
38788
|
2177 |
+
38789
|
2178 |
+
38798
|
2179 |
+
38800
|
2180 |
+
38802
|
2181 |
+
38803
|
2182 |
+
38816
|
2183 |
+
38818
|
2184 |
+
38820
|
2185 |
+
38822
|
2186 |
+
38824
|
2187 |
+
38825
|
2188 |
+
38826
|
2189 |
+
38828
|
2190 |
+
38842
|
2191 |
+
38845
|
2192 |
+
38847
|
2193 |
+
38851
|
2194 |
+
38852
|
2195 |
+
38853
|
2196 |
+
40223
|
2197 |
+
40227
|
2198 |
+
40228
|
2199 |
+
40229
|
2200 |
+
40230
|
2201 |
+
40231
|
2202 |
+
40232
|
2203 |
+
40234
|
2204 |
+
40235
|
reference_files/paragraph-validation.txt
ADDED
@@ -0,0 +1,2204 @@
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2 |
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4 |
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57167
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59471
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22 |
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47970
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24 |
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57680
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28 |
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50016
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53647
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32 |
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47819
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52557
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53571
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54595
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59592
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41 |
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42 |
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46 |
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100 |
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114 |
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120 |
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57520
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122 |
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69914
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66067
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126 |
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56862
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140 |
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1827 |
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51900
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1828 |
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59019
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1829 |
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1830 |
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1831 |
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57536
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48583
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1838 |
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50220
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1844 |
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60039
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1853 |
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1854 |
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56592
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1856 |
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51310
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52614
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57041
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46421
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1860 |
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56427
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1861 |
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66177
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1862 |
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1863 |
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46234
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1865 |
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46478
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1866 |
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1867 |
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52747
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1869 |
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1870 |
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65524
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1871 |
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60038
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52333
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1873 |
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51729
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1874 |
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1875 |
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56895
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1876 |
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57484
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1877 |
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1878 |
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66153
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1879 |
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1880 |
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53671
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53639
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1882 |
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52777
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1883 |
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1884 |
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60018
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1885 |
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54846
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1887 |
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1888 |
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51734
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1890 |
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1892 |
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47045
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1895 |
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46205
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1896 |
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52949
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1897 |
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49505
|
1898 |
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69006
|
1899 |
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65044
|
1900 |
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47575
|
1901 |
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47431
|
1902 |
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68119
|
1903 |
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45875
|
1904 |
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52335
|
1905 |
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64874
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1906 |
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47809
|
1907 |
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65937
|
1908 |
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47539
|
1909 |
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65308
|
1910 |
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61801
|
1911 |
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59323
|
1912 |
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59379
|
1913 |
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69953
|
1914 |
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59854
|
1915 |
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69784
|
1916 |
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57123
|
1917 |
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61840
|
1918 |
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67797
|
1919 |
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56867
|
1920 |
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51540
|
1921 |
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64882
|
1922 |
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47891
|
1923 |
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69759
|
1924 |
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66676
|
1925 |
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59860
|
1926 |
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47867
|
1927 |
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52760
|
1928 |
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58192
|
1929 |
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69352
|
1930 |
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53555
|
1931 |
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56294
|
1932 |
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47651
|
1933 |
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65052
|
1934 |
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58342
|
1935 |
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68962
|
1936 |
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67487
|
1937 |
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57869
|
1938 |
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46034
|
1939 |
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60162
|
1940 |
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60174
|
1941 |
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56622
|
1942 |
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59029
|
1943 |
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58545
|
1944 |
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52737
|
1945 |
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64799
|
1946 |
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51852
|
1947 |
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53332
|
1948 |
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59403
|
1949 |
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51520
|
1950 |
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65530
|
1951 |
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53834
|
1952 |
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69905
|
1953 |
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51807
|
1954 |
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67152
|
1955 |
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69422
|
1956 |
+
56918
|
1957 |
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65690
|
1958 |
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46947
|
1959 |
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47312
|
1960 |
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47384
|
1961 |
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67304
|
1962 |
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48414
|
1963 |
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49111
|
1964 |
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67542
|
1965 |
+
54719
|
1966 |
+
69152
|
1967 |
+
57162
|
1968 |
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68196
|
1969 |
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68653
|
1970 |
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59636
|
1971 |
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69178
|
1972 |
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68932
|
1973 |
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58535
|
1974 |
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51597
|
1975 |
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52765
|
1976 |
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52764
|
1977 |
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47467
|
1978 |
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59278
|
1979 |
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47588
|
1980 |
+
56125
|
1981 |
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45946
|
1982 |
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67341
|
1983 |
+
57419
|
1984 |
+
59262
|
1985 |
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47696
|
1986 |
+
64618
|
1987 |
+
59621
|
1988 |
+
56488
|
1989 |
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47731
|
1990 |
+
46542
|
1991 |
+
61814
|
1992 |
+
51548
|
1993 |
+
69054
|
1994 |
+
51674
|
1995 |
+
46621
|
1996 |
+
49332
|
1997 |
+
47235
|
1998 |
+
58300
|
1999 |
+
69433
|
2000 |
+
47987
|
2001 |
+
46978
|
2002 |
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68809
|
2003 |
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52607
|
2004 |
+
70394
|
2005 |
+
52708
|
2006 |
+
66193
|
2007 |
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59320
|
2008 |
+
65041
|
2009 |
+
60121
|
2010 |
+
65357
|
2011 |
+
56691
|
2012 |
+
46409
|
2013 |
+
46887
|
2014 |
+
46663
|
2015 |
+
67638
|
2016 |
+
60033
|
2017 |
+
67470
|
2018 |
+
67161
|
2019 |
+
66050
|
2020 |
+
66296
|
2021 |
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60387
|
2022 |
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52605
|
2023 |
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59872
|
2024 |
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|
2025 |
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47514
|
2026 |
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56652
|
2027 |
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65508
|
2028 |
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51567
|
2029 |
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67838
|
2030 |
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70253
|
2031 |
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57493
|
2032 |
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69188
|
2033 |
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51298
|
2034 |
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48635
|
2035 |
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65427
|
2036 |
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53472
|
2037 |
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|
2038 |
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53801
|
2039 |
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51780
|
2040 |
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63268
|
2041 |
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53521
|
2042 |
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65361
|
2043 |
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|
2044 |
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68722
|
2045 |
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|
2046 |
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|
2047 |
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|
2048 |
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51552
|
2049 |
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|
2050 |
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|
2051 |
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48082
|
2052 |
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|
2053 |
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|
2054 |
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52930
|
2055 |
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|
2056 |
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|
2057 |
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|
2058 |
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49457
|
2059 |
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|
2060 |
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47202
|
2061 |
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2062 |
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51493
|
2063 |
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60085
|
2064 |
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70247
|
2065 |
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53110
|
2066 |
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|
2067 |
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51069
|
2068 |
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68755
|
2069 |
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59547
|
2070 |
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57694
|
2071 |
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|
2072 |
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65665
|
2073 |
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58024
|
2074 |
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53729
|
2075 |
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57574
|
2076 |
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57848
|
2077 |
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59384
|
2078 |
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46618
|
2079 |
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|
2080 |
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46326
|
2081 |
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68643
|
2082 |
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|
2083 |
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61811
|
2084 |
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|
2085 |
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47428
|
2086 |
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53378
|
2087 |
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46033
|
2088 |
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|
2089 |
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65520
|
2090 |
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59060
|
2091 |
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47571
|
2092 |
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61956
|
2093 |
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69018
|
2094 |
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58507
|
2095 |
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68746
|
2096 |
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46361
|
2097 |
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|
2098 |
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|
2099 |
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51796
|
2100 |
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56829
|
2101 |
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57055
|
2102 |
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54612
|
2103 |
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|
2104 |
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58454
|
2105 |
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|
2106 |
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2107 |
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2108 |
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56301
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2109 |
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65525
|
2110 |
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54766
|
2111 |
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52729
|
2112 |
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58736
|
2113 |
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58585
|
2114 |
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2115 |
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59558
|
2116 |
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52832
|
2117 |
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47183
|
2118 |
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57516
|
2119 |
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2120 |
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49446
|
2121 |
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65122
|
2122 |
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49355
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2123 |
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|
2124 |
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59809
|
2125 |
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47335
|
2126 |
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|
2127 |
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47250
|
2128 |
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51684
|
2129 |
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57373
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2130 |
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61858
|
2131 |
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46447
|
2132 |
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60071
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2133 |
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2134 |
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|
2135 |
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56571
|
2136 |
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|
2137 |
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|
2138 |
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|
2139 |
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51864
|
2140 |
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62033
|
2141 |
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|
2142 |
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65028
|
2143 |
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67733
|
2144 |
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|
2145 |
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|
2146 |
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|
2147 |
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|
2148 |
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|
2149 |
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|
2150 |
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56848
|
2151 |
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46492
|
2152 |
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|
2153 |
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|
2154 |
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|
2155 |
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|
2156 |
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|
2157 |
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|
2158 |
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|
2159 |
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65944
|
2160 |
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56167
|
2161 |
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48349
|
2162 |
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|
2163 |
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47468
|
2164 |
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67260
|
2165 |
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|
2166 |
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65413
|
2167 |
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52565
|
2168 |
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58169
|
2169 |
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46880
|
2170 |
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47249
|
2171 |
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47795
|
2172 |
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52000
|
2173 |
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47031
|
2174 |
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65956
|
2175 |
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|
2176 |
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57347
|
2177 |
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57532
|
2178 |
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47049
|
2179 |
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|
2180 |
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59945
|
2181 |
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53574
|
2182 |
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59045
|
2183 |
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|
2184 |
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|
2185 |
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64868
|
2186 |
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58122
|
2187 |
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57128
|
2188 |
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69694
|
2189 |
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60932
|
2190 |
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66125
|
2191 |
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47148
|
2192 |
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59279
|
2193 |
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67257
|
2194 |
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53379
|
2195 |
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64908
|
2196 |
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46316
|
2197 |
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64703
|
2198 |
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51656
|
2199 |
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56797
|
2200 |
+
59853
|
2201 |
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50012
|
2202 |
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52879
|
2203 |
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46082
|
2204 |
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68144
|
reference_files/question-test.txt
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reference_files/question-validation.txt
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reference_files/sentence-test.txt
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reference_files/sentence-validation.txt
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