Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
multi-label-classification
Languages:
English
Size:
1K - 10K
Tags:
climate-change
climate-adaptation
climate-mitigation
hierarchical-classification
multi-label-classification
zero-shot-classification
License:
Upload folder using huggingface_hub
Browse files- .gitattributes +2 -0
- README.md +34 -3
- all.jsonl +3 -0
- candidate_labels.txt +60 -0
- dataset.csv +0 -0
- stats.json +97 -0
- taxonomy.json +95 -0
- test.jsonl +3 -0
.gitattributes
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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# Video files - compressed
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*.mp4 filter=lfs diff=lfs merge=lfs -text
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*.webm filter=lfs diff=lfs merge=lfs -text
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all.jsonl filter=lfs diff=lfs merge=lfs -text
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test.jsonl filter=lfs diff=lfs merge=lfs -text
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README.md
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# Zero-Shot Hierarchical Text Classification Dataset
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This dataset is prepared from the consolidated climate change solution extraction results.
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## Task
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Zero-shot hierarchical multi-label text classification. Each example contains:
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- `text`: classification input text built from solution details and document context.
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- `label_paths`: one or more hierarchical labels, e.g. `Long-term -> Mitigation and clean energy -> Pollution control and clean energy promotion`.
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- `solution_detail_items`: normalized `solution_details` items with their mapped label paths.
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- `labels`: flattened labels for models that do not consume paths directly.
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- `metadata`: city, country, text type, actor, climate event, source URL, and raw labels.
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## Files
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- `test.jsonl`: all evaluation examples for zero-shot classification.
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- `all.jsonl`: same examples as `test.jsonl`, provided as a neutral full dataset file.
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- `dataset.csv`: tabular version for quick inspection.
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- `taxonomy.json`: normalized phase/domain/category hierarchy for both `solution` and `solution_details`.
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- `candidate_labels.txt`: flat candidate label list.
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- `stats.json`: dataset statistics and unmapped source labels.
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## Statistics
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- Source file: `consolidated_results_1022_events.csv`
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- Total examples: `2083`
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- Parent labels: `2`
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- Domain labels: `8`
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- Leaf labels: `50`
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## Suggested Zero-Shot Usage
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Use `taxonomy.json` as the candidate label space. For hierarchical prediction, first predict the phase (`Long-term` or `Short-term`), then the solution domain, then restrict final category candidates to that branch. For models that support multi-label classification directly, evaluate against `label_paths` or the flattened `labels` field.
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all.jsonl
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version https://git-lfs.github.com/spec/v1
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oid sha256:349295f20a35849bf601f372696152da1a73fd244470391e44e65ef2c03d3fca
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size 11112783
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candidate_labels.txt
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Long-term
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Short-term
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Land use and urban planning
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Infrastructure and utilities
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Ecosystems, agriculture, and industry resilience
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Mitigation and clean energy
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Governance, planning, and finance
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Knowledge, monitoring, and capacity building
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Emergency response and recovery
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Public health and social protection
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Low-risk land use plan and core function
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High-risk area construction control
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Green infrastructure distribution
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Hazard defense and protection infrastructure (e.g., barrier, flood wall, sea wall)
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Emergency shelter construction
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Resilient communication and transportation system (road, airport, etc.)
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Resilient utility supply system (water, gas, electronic)
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Infrastructure routine maintenance
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Forestry & reforestation
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Biodiversity conservation
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Industrial carbon reduction
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Low-carbon transportation system
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Pollution control and clean energy promotion
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Climate-smart agriculture / climate-resilient agriculture
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Resilient industry
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Specific organizations establishment
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Public funds
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Private investment
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Long-term adaptation plan establishment and improvement
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Immediate disaster operation plan establishment and improvement
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Data collection and database establishment
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Early warning system testing and territory-wide coverage
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Scientific research support and technology innovation
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Satellites technology support for large-scale data monitoring
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Research on urban resilience and disaster risk
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Dissemination and international collaboration
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Safety and disaster preparedness education
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Regular disaster evacuation drills
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Local official crisis management training
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Weather and hazard data monitoring, analysis, and forecasting
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Emergency warning and public alerts
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Real-time updates and information transparency
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Emergency rescue and volunteer deployment
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Emergency relief supplies and aid distribution
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Personnel evacuation and shelter
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Care for vulnerable groups
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Gender equality in emergency management
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Mental health and psychological support
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Short-term emergency infrastructure construction and retrofitting
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Lifeline management and supply guarantee (water, electricity, gas)
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Sanitation management
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Waste management
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Eliminate pests
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Prevent chemical contamination
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Infrastructure damage reporting and emergency repair
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Government emergency and quick response funding
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Financial assistance for reconstruction support
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Society donation management
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Traveler advisories and transport management
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Suspension of activities and public advisories
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dataset.csv
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The diff for this file is too large to render.
See raw diff
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stats.json
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{
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"source_file": "consolidated_results_1022_events.csv",
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"total_examples": 2083,
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"taxonomy": {
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| 5 |
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"parent_label_count": 2,
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"domain_label_count": 8,
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| 7 |
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"leaf_label_count": 50
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},
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| 9 |
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"parent_label_distribution": {
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| 10 |
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"Long-term": 5281,
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| 11 |
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"Short-term": 1196
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},
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"domain_label_distribution": {
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| 14 |
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"Knowledge, monitoring, and capacity building": 2819,
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| 15 |
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"Mitigation and clean energy": 1117,
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| 16 |
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"Ecosystems, agriculture, and industry resilience": 617,
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| 17 |
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"Governance, planning, and finance": 605,
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| 18 |
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"Infrastructure and utilities": 582,
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| 19 |
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"Land use and urban planning": 328,
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| 20 |
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"Emergency response and recovery": 313,
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| 21 |
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"Public health and social protection": 95
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| 22 |
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},
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| 23 |
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"top_20_leaf_labels": {
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| 24 |
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"Pollution control and clean energy promotion": 682,
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| 25 |
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"Dissemination and international collaboration": 677,
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| 26 |
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"Scientific research support and technology innovation": 596,
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| 27 |
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"Research on urban resilience and disaster risk": 345,
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| 28 |
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"Safety and disaster preparedness education": 331,
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| 29 |
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"Green infrastructure distribution": 246,
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| 30 |
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"Low-carbon transportation system": 221,
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| 31 |
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"Climate-smart agriculture / climate-resilient agriculture": 219,
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| 32 |
+
"Weather and hazard data monitoring, analysis, and forecasting": 217,
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| 33 |
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"Industrial carbon reduction": 214,
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| 34 |
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"Long-term adaptation plan establishment and improvement": 194,
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| 35 |
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"Biodiversity conservation": 178,
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| 36 |
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"Forestry & reforestation": 173,
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| 37 |
+
"Emergency warning and public alerts": 126,
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| 38 |
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"Infrastructure routine maintenance": 124,
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| 39 |
+
"Resilient utility supply system (water, gas, electronic)": 108,
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| 40 |
+
"Local official crisis management training": 104,
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| 41 |
+
"Hazard defense and protection infrastructure (e.g., barrier, flood wall, sea wall)": 103,
|
| 42 |
+
"Public funds": 99,
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| 43 |
+
"Real-time updates and information transparency": 99
|
| 44 |
+
},
|
| 45 |
+
"solution_details_label_source_distribution": {
|
| 46 |
+
"keyword_or_alias": 3830,
|
| 47 |
+
"inherited_record_solutions": 2379
|
| 48 |
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},
|
| 49 |
+
"top_20_text_types": {
|
| 50 |
+
"news article": 738,
|
| 51 |
+
"News Article": 244,
|
| 52 |
+
"Report": 143,
|
| 53 |
+
"report": 99,
|
| 54 |
+
"Policy Document": 85,
|
| 55 |
+
"News article": 72,
|
| 56 |
+
"policy document": 72,
|
| 57 |
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"Webpage": 49,
|
| 58 |
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"Analysis": 30,
|
| 59 |
+
"Press Release": 27,
|
| 60 |
+
"webpage": 27,
|
| 61 |
+
"Policy document": 21,
|
| 62 |
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"Research Article": 16,
|
| 63 |
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"Project description": 15,
|
| 64 |
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"Case Study": 14,
|
| 65 |
+
"Climate Action Plan": 12,
|
| 66 |
+
"Analysis piece": 11,
|
| 67 |
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"Article": 11,
|
| 68 |
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"PDF Document": 9,
|
| 69 |
+
"Website": 8
|
| 70 |
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},
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| 71 |
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"top_20_countries": {
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| 72 |
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"Japan": 385,
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| 73 |
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"United States": 211,
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| 74 |
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"China": 165,
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| 75 |
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"Indonesia": 85,
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| 76 |
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"India": 85,
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| 77 |
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"North Korea": 80,
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| 78 |
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"United Kingdom": 76,
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| 79 |
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"South Korea": 57,
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| 80 |
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"Australia": 55,
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| 81 |
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"Philippines": 54,
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| 82 |
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"Spain": 48,
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| 83 |
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"Argentina": 37,
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| 84 |
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"Thailand": 36,
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| 85 |
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"Canada": 30,
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| 86 |
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"Malaysia": 29,
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| 87 |
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"Portugal": 29,
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| 88 |
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"Italy": 28,
|
| 89 |
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"Nigeria": 28,
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| 90 |
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"Kuwait": 25,
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| 91 |
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"Brazil": 24
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| 92 |
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},
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| 93 |
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"duplicates": {
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| 94 |
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"duplicates_skipped": 7
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| 95 |
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},
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| 96 |
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"top_50_unmapped_source_labels": {}
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}
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taxonomy.json
ADDED
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| 1 |
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{
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| 2 |
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"task": "zero-shot hierarchical multi-label text classification",
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| 3 |
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"root": "Climate change solution",
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| 4 |
+
"levels": [
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| 5 |
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"phase",
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| 6 |
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"solution_domain",
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| 7 |
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"solution_category"
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| 8 |
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],
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| 9 |
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"hierarchy": {
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| 10 |
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"Long-term": {
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| 11 |
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"Land use and urban planning": [
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| 12 |
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"Low-risk land use plan and core function",
|
| 13 |
+
"High-risk area construction control",
|
| 14 |
+
"Green infrastructure distribution"
|
| 15 |
+
],
|
| 16 |
+
"Infrastructure and utilities": [
|
| 17 |
+
"Hazard defense and protection infrastructure (e.g., barrier, flood wall, sea wall)",
|
| 18 |
+
"Emergency shelter construction",
|
| 19 |
+
"Resilient communication and transportation system (road, airport, etc.)",
|
| 20 |
+
"Resilient utility supply system (water, gas, electronic)",
|
| 21 |
+
"Infrastructure routine maintenance"
|
| 22 |
+
],
|
| 23 |
+
"Ecosystems, agriculture, and industry resilience": [
|
| 24 |
+
"Forestry & reforestation",
|
| 25 |
+
"Biodiversity conservation",
|
| 26 |
+
"Climate-smart agriculture / climate-resilient agriculture",
|
| 27 |
+
"Resilient industry"
|
| 28 |
+
],
|
| 29 |
+
"Mitigation and clean energy": [
|
| 30 |
+
"Industrial carbon reduction",
|
| 31 |
+
"Low-carbon transportation system",
|
| 32 |
+
"Pollution control and clean energy promotion"
|
| 33 |
+
],
|
| 34 |
+
"Governance, planning, and finance": [
|
| 35 |
+
"Specific organizations establishment",
|
| 36 |
+
"Public funds",
|
| 37 |
+
"Private investment",
|
| 38 |
+
"Long-term adaptation plan establishment and improvement",
|
| 39 |
+
"Immediate disaster operation plan establishment and improvement"
|
| 40 |
+
],
|
| 41 |
+
"Knowledge, monitoring, and capacity building": [
|
| 42 |
+
"Data collection and database establishment",
|
| 43 |
+
"Early warning system testing and territory-wide coverage",
|
| 44 |
+
"Scientific research support and technology innovation",
|
| 45 |
+
"Satellites technology support for large-scale data monitoring",
|
| 46 |
+
"Research on urban resilience and disaster risk",
|
| 47 |
+
"Dissemination and international collaboration",
|
| 48 |
+
"Safety and disaster preparedness education",
|
| 49 |
+
"Regular disaster evacuation drills",
|
| 50 |
+
"Local official crisis management training"
|
| 51 |
+
]
|
| 52 |
+
},
|
| 53 |
+
"Short-term": {
|
| 54 |
+
"Infrastructure and utilities": [
|
| 55 |
+
"Short-term emergency infrastructure construction and retrofitting",
|
| 56 |
+
"Lifeline management and supply guarantee (water, electricity, gas)",
|
| 57 |
+
"Infrastructure damage reporting and emergency repair"
|
| 58 |
+
],
|
| 59 |
+
"Governance, planning, and finance": [
|
| 60 |
+
"Government emergency and quick response funding",
|
| 61 |
+
"Financial assistance for reconstruction support",
|
| 62 |
+
"Society donation management",
|
| 63 |
+
"Suspension of activities and public advisories"
|
| 64 |
+
],
|
| 65 |
+
"Knowledge, monitoring, and capacity building": [
|
| 66 |
+
"Weather and hazard data monitoring, analysis, and forecasting",
|
| 67 |
+
"Emergency warning and public alerts",
|
| 68 |
+
"Real-time updates and information transparency"
|
| 69 |
+
],
|
| 70 |
+
"Emergency response and recovery": [
|
| 71 |
+
"Emergency rescue and volunteer deployment",
|
| 72 |
+
"Emergency relief supplies and aid distribution",
|
| 73 |
+
"Personnel evacuation and shelter",
|
| 74 |
+
"Sanitation management",
|
| 75 |
+
"Waste management",
|
| 76 |
+
"Eliminate pests",
|
| 77 |
+
"Prevent chemical contamination",
|
| 78 |
+
"Traveler advisories and transport management"
|
| 79 |
+
],
|
| 80 |
+
"Public health and social protection": [
|
| 81 |
+
"Care for vulnerable groups",
|
| 82 |
+
"Gender equality in emergency management",
|
| 83 |
+
"Mental health and psychological support"
|
| 84 |
+
]
|
| 85 |
+
}
|
| 86 |
+
},
|
| 87 |
+
"solution_details_classification": {
|
| 88 |
+
"unit": "semicolon-separated item in solution_details",
|
| 89 |
+
"method": "Each detail item is mapped to the same phase/domain/category taxonomy with alias and keyword rules; if only one solution category exists for a record, unmatched detail items inherit that single category."
|
| 90 |
+
},
|
| 91 |
+
"label_descriptions": {
|
| 92 |
+
"Long-term": "Sustained resilience, adaptive capacity building, mitigation, and systemic risk reduction.",
|
| 93 |
+
"Short-term": "Immediate response, emergency relief, and rapid recovery after a disaster event."
|
| 94 |
+
}
|
| 95 |
+
}
|
test.jsonl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:349295f20a35849bf601f372696152da1a73fd244470391e44e65ef2c03d3fca
|
| 3 |
+
size 11112783
|