Tailor-made identification of documents with a need-based and solution-oriented approach

Dataset
Country Climate Strategies
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Bay Area Council
x=
9
0
9
0
0
0
0
6
0
0
3
y=
9
0
9
0
0
0
0
6
0
0
3
763
innovation-strategy
Seoul Metropolitan Government
x=
4
4
0
0
1
3
0
0
0
0
0
y=
4
4
0
0
1
3
0
0
0
0
0
768
mobility-strategy
Quito
x=
19
9
10
1
1
6
1
1
6
0
3
y=
19
9
10
1
1
6
1
1
6
0
3
755
resilience-strategy
City and County of San Francisco
x=
1
0
1
0
0
0
0
1
0
0
0
y=
1
0
1
0
0
0
0
1
0
0
0
760
digital-strategy
City and County of San Francisco
x=
6
3
3
0
0
3
0
3
0
0
0
y=
6
3
3
0
0
3
0
3
0
0
0
762
digital-strategy
Prince Edward Island
x=
3
3
0
0
0
3
0
0
0
0
0
y=
3
3
0
0
0
3
0
0
0
0
0
751
poverty-reduction-strategy
University of Stuttgart
x=
9
3
6
1
1
1
0
0
0
0
6
y=
9
3
6
1
1
1
0
0
0
0
6
758
resilience-strategy
Pune Municpal Corporation
x=
17
7
10
0
1
6
0
6
0
3
1
y=
17
7
10
0
1
6
0
6
0
3
1
752
digital-strategy
Government of Quebec
x=
9
6
3
1
1
3
1
0
1
1
1
y=
9
6
3
1
1
3
1
0
1
1
1
753
sustainability-strategy
Queensland Government
x=
0
0
0
0
0
0
0
0
0
0
0
y=
0
0
0
0
0
0
0
0
0
0
0
754
nutrition-strategy
City and County of San Francisco
x=
17
13
4
6
1
6
0
1
3
0
0
y=
17
13
4
6
1
6
0
1
3
0
0
761
resilience-strategy
Inter-American Development Bank
x=
14
7
7
1
3
3
0
3
0
1
3
y=
14
7
7
1
3
3
0
3
0
1
3
756
smart-strategy
City of Rotterdam
x=
21
9
12
1
1
6
1
3
3
0
6
y=
21
9
12
1
1
6
1
3
3
0
6
757
resilience-strategy
City of Prague
x=
5
2
3
1
1
0
0
3
0
0
0
y=
5
2
3
1
1
0
0
3
0
0
0
750
innovation-strategy
City and County of San Francisco
x=
32
13
19
6
1
6
0
6
6
1
6
y=
32
13
19
6
1
6
0
6
6
1
6
759
digital-strategy
City of Oslo
x=
3
2
1
1
1
0
0
0
1
0
0
y=
3
2
1
1
1
0
0
0
1
0
0
743
climate-strategy
Mairie de Paris
x=
24
14
10
6
1
6
1
0
1
3
6
y=
24
14
10
6
1
6
1
0
1
3
6
745
resilience-strategy
Portsmouth City Council
x=
8
4
4
0
1
3
0
3
1
0
0
y=
8
4
4
0
1
3
0
3
1
0
0
749
poverty-reduction-strategy
City of Porto
x=
21
13
8
6
1
6
0
6
0
1
1
y=
21
13
8
6
1
6
0
6
0
1
1
747
innovation-strategy
United Nations
x=
7
3
4
1
1
1
0
1
3
0
0
y=
7
3
4
1
1
1
0
1
3
0
0
742
smart-strategy
City of Porto
x=
13
7
6
0
0
6
1
6
0
0
0
y=
13
7
6
0
0
6
1
6
0
0
0
748
general-strategy
City of Ottawa
x=
8
3
5
0
0
3
0
3
0
1
1
y=
8
3
5
0
0
3
0
3
0
1
1
744
smart-strategy
Ville de Paris
x=
17
10
7
6
1
3
0
3
1
0
3
y=
17
10
7
6
1
3
0
3
1
0
3
746
sustainability-strategy
dummy 106
x=
y=
Imported item 107
Manchester City Council
x=
14
7
7
0
3
3
1
6
1
0
0
y=
14
7
7
0
3
3
1
6
1
0
0
728
digital-strategy
Intendencia de Montevideo
x=
18
8
10
1
1
6
0
3
3
3
1
y=
18
8
10
1
1
6
0
3
3
3
1
734
resilience-strategy
New York City DOT
x=
7
5
2
1
1
3
0
0
1
0
1
y=
7
5
2
1
1
3
0
0
1
0
1
737
mobility-strategy
Murcia City Council,
x=
16
9
7
0
3
6
0
3
3
0
1
y=
16
9
7
0
3
6
0
3
3
0
1
736
circular-strategy
The Munich Innovation Ecosystem
x=
17
5
12
0
1
3
1
6
0
3
3
y=
17
5
12
0
1
3
1
6
0
3
3
735
innovation-strategy
New York Power Authority
x=
15
11
4
1
1
6
3
0
1
0
3
y=
15
11
4
1
1
6
3
0
1
0
3
741
climate-strategy
New York Mayor’s Office
x=
0
0
0
0
0
0
0
0
0
0
0
y=
0
0
0
0
0
0
0
0
0
0
0
740
smart-strategy
New York Mayor’s Office
x=
14
8
6
1
1
6
0
3
3
0
0
y=
14
8
6
1
1
6
0
3
3
0
0
739
cultural-strategy
City of Melbourne
x=
29
16
13
6
1
6
3
3
6
1
3
y=
29
16
13
6
1
6
3
3
6
1
3
732
mobility-strategy
New York Mayor’s Office
x=
35
16
19
6
1
6
3
6
6
1
6
y=
35
16
19
6
1
6
3
6
6
1
6
738
general-strategy
Manchester City Council
x=
5
2
3
0
1
1
0
0
3
0
0
y=
5
2
3
0
1
1
0
0
3
0
0
729
general-strategy
City of Melbourne
x=
5
4
1
0
1
3
0
0
0
0
1
y=
5
4
1
0
1
3
0
0
0
0
1
731
creative-strategy
n/a
None selected
Y
X
None selected
n/a
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