Ayushnangia commited on
Commit
5b8caaf
·
verified ·
1 Parent(s): db72209

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +249 -3
README.md CHANGED
@@ -1,3 +1,249 @@
1
- ---
2
- license: apache-2.0
3
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # UN Security Council Voting Data with Draft Resolutions
2
+
3
+ ## Overview
4
+
5
+ This dataset combines UN Security Council voting records with the full text of draft resolutions extracted from PDF documents. Each record represents a unique Security Council vote, including detailed member state votes, voting summaries, and the machine-readable text of the draft resolution document.
6
+
7
+ **File:** `sc_voting_with_drafts.jsonl`
8
+ **Format:** JSON Lines (one JSON object per line)
9
+ **Size:** 11 MB
10
+ **Records:** 2,787 unique Security Council votes
11
+ **Time Period:** 1946-2025 (79 years)
12
+
13
+ ## Data Sources
14
+
15
+ 1. **Voting Data:** `2025_7_21_sc_voting.csv`
16
+ - 40,929 rows (15 member states × 2,787 votes)
17
+ - Source: UN Digital Library voting records
18
+
19
+ 2. **Draft PDFs:** `pdf_draft/` directory
20
+ - 488 draft resolution PDFs
21
+ - All PDFs contain machine-readable text (99.6% extraction success rate)
22
+ - 5.68 million characters extracted
23
+ - Average: 11,640 characters per draft
24
+
25
+ ## Dataset Statistics
26
+
27
+ ### Coverage
28
+ - **Total votes:** 2,787
29
+ - **With draft PDFs:** 488 (17.5%)
30
+ - **Without draft PDFs:** 2,299 (82.5%)
31
+ - **PDF extraction errors:** 0
32
+
33
+ ### Temporal Distribution
34
+ | Decade | Vote Records | Draft PDFs |
35
+ |--------|--------------|------------|
36
+ | 1940s | 78 | 0 |
37
+ | 1950s | 54 | 0 |
38
+ | 1960s | 143 | 1 |
39
+ | 1970s | 186 | 5 |
40
+ | 1980s | 185 | 1 |
41
+ | 1990s | 638 | 73 |
42
+ | 2000s | 623 | 157 |
43
+ | 2010s | 596 | 180 |
44
+ | 2020s | 284 | 71 |
45
+
46
+ ### Top Years by Draft Availability
47
+ 1. **2002:** 26 drafts
48
+ 2. **1998:** 25 drafts
49
+ 3. **1999:** 24 drafts
50
+ 4. **2016:** 22 drafts
51
+ 5. **2006:** 21 drafts
52
+
53
+ ## Data Structure
54
+
55
+ Each line is a JSON object with the following structure:
56
+
57
+ ```json
58
+ {
59
+ "undl_id": "705442",
60
+ "date": "2011-06-13",
61
+ "resolution": "S/RES/1986(2011)",
62
+ "draft": "S/2011/355",
63
+ "meeting": "S/PV.6554",
64
+ "description": "Security Council resolution 1986 (2011)...",
65
+ "agenda": "The situation in Cyprus.",
66
+ "subjects": "CYPRUS QUESTION",
67
+ "vote_note": "",
68
+ "modality": "Vote",
69
+ "undl_link": "https://digitallibrary.un.org/record/705442",
70
+
71
+ "vote_summary": {
72
+ "total_yes": 15,
73
+ "total_no": 0,
74
+ "total_abstentions": 0,
75
+ "total_non_voting": 0,
76
+ "total_ms": 15
77
+ },
78
+
79
+ "member_state_votes": [
80
+ {
81
+ "ms_code": "CHN",
82
+ "ms_name": "CHINA",
83
+ "permanent_member": true,
84
+ "vote": "Y"
85
+ },
86
+ ...
87
+ ],
88
+
89
+ "draft_pdf": {
90
+ "has_pdf": true,
91
+ "filename": "draft_S_2011_355.pdf",
92
+ "text": "United Nations S/2011/355...",
93
+ "char_count": 9740,
94
+ "page_count": 4
95
+ }
96
+ }
97
+ ```
98
+
99
+ ## Field Descriptions
100
+
101
+ ### Core Metadata
102
+ - **undl_id** (string): Unique identifier from UN Digital Library
103
+ - **date** (string): Vote date in YYYY-MM-DD format
104
+ - **resolution** (string): Resolution number (e.g., "S/RES/1986(2011)")
105
+ - **draft** (string): Draft document number (e.g., "S/2011/355")
106
+ - **meeting** (string): Meeting record (e.g., "S/PV.6554")
107
+ - **description** (string): Full description of the resolution
108
+ - **agenda** (string): Agenda item description
109
+ - **subjects** (string): Subject classification
110
+ - **vote_note** (string): Additional voting notes
111
+ - **modality** (string): Voting type (typically "Vote")
112
+ - **undl_link** (string): URL to UN Digital Library record
113
+
114
+ ### Vote Summary
115
+ - **total_yes** (integer): Number of Yes votes
116
+ - **total_no** (integer): Number of No votes
117
+ - **total_abstentions** (integer): Number of abstentions
118
+ - **total_non_voting** (integer): Number of non-voting members
119
+ - **total_ms** (integer): Total member states (typically 15)
120
+
121
+ ### Member State Votes
122
+ Array of objects, one per Security Council member:
123
+ - **ms_code** (string): ISO country code (e.g., "USA", "CHN")
124
+ - **ms_name** (string): Country name (e.g., "UNITED STATES")
125
+ - **permanent_member** (boolean): Is this a permanent member (P5)?
126
+ - **vote** (string): Vote cast - "Y" (Yes), "N" (No), "A" (Abstain)
127
+
128
+ ### Draft PDF Data
129
+ - **has_pdf** (boolean): Whether draft PDF exists and was extracted
130
+ - **filename** (string|null): PDF filename (e.g., "draft_S_2011_355.pdf")
131
+ - **text** (string|null): Full extracted text from the PDF
132
+ - **char_count** (integer): Number of characters in extracted text
133
+ - **page_count** (integer): Number of pages in the PDF
134
+ - **extraction_error** (string|null): Error message if extraction failed
135
+
136
+ ## Usage Examples
137
+
138
+ ### Python
139
+
140
+ ```python
141
+ import json
142
+
143
+ # Load all records
144
+ records = []
145
+ with open('sc_voting_with_drafts.jsonl', 'r', encoding='utf-8') as f:
146
+ for line in f:
147
+ records.append(json.loads(line))
148
+
149
+ print(f"Loaded {len(records)} records")
150
+
151
+ # Find records with draft text
152
+ with_drafts = [r for r in records if r['draft_pdf']['has_pdf']]
153
+ print(f"Records with drafts: {len(with_drafts)}")
154
+
155
+ # Analyze voting patterns
156
+ unanimous = [r for r in records
157
+ if r['vote_summary']['total_yes'] == r['vote_summary']['total_ms']]
158
+ print(f"Unanimous votes: {len(unanimous)}")
159
+
160
+ # Search draft text
161
+ keyword = "peacekeeping"
162
+ matching = [r for r in with_drafts
163
+ if r['draft_pdf']['text'] and keyword.lower() in r['draft_pdf']['text'].lower()]
164
+ print(f"Drafts mentioning '{keyword}': {len(matching)}")
165
+ ```
166
+
167
+ ### Command Line (jq)
168
+
169
+ ```bash
170
+ # Count records by year
171
+ cat sc_voting_with_drafts.jsonl | jq -r '.date[:4]' | sort | uniq -c
172
+
173
+ # Find all vetoed resolutions
174
+ cat sc_voting_with_drafts.jsonl | jq 'select(.vote_summary.total_no > 0)'
175
+
176
+ # Extract all China votes
177
+ cat sc_voting_with_drafts.jsonl | jq '.member_state_votes[] | select(.ms_code == "CHN")'
178
+
179
+ # Get records with draft text over 50KB
180
+ cat sc_voting_with_drafts.jsonl | jq 'select(.draft_pdf.char_count > 50000)'
181
+ ```
182
+
183
+ ### Analysis Ideas
184
+
185
+ 1. **Voting Pattern Analysis**
186
+ - P5 veto frequency and patterns
187
+ - Voting bloc identification
188
+ - Temporal trends in voting behavior
189
+
190
+ 2. **Text Analysis**
191
+ - Topic modeling on draft texts
192
+ - Resolution complexity (by text length)
193
+ - Language patterns in successful vs. failed resolutions
194
+
195
+ 3. **Correlation Studies**
196
+ - Resolution length vs. voting outcome
197
+ - Subject matter vs. unanimity
198
+ - Temporal trends in resolution topics
199
+
200
+ ## Data Quality Notes
201
+
202
+ ### PDF Text Extraction
203
+ - **Success Rate:** 100% (488/488 PDFs successfully extracted)
204
+ - **Non-Readable PDFs:** 2 identified in initial scan (not in this dataset)
205
+ - **Extraction Method:** PyPDF2 library
206
+ - **Text Quality:** Machine-readable, preserves line breaks and structure
207
+
208
+ ### Missing Data
209
+ - **Draft PDFs:** 82.5% of votes lack draft PDFs
210
+ - Primarily older records (pre-1990s)
211
+ - Some recent records also missing
212
+ - **Empty Fields:** Some records have empty `agenda`, `subjects`, or `vote_note` fields
213
+
214
+ ### Known Limitations
215
+ 1. Older resolutions (1940s-1980s) have limited draft PDF availability
216
+ 2. Some extracted text may contain formatting artifacts
217
+ 3. Member state names use historical designations (e.g., "USSR", "ZAIRE")
218
+ 4. Permanent member status reflects historical composition
219
+
220
+ ## File Generation
221
+
222
+ **Script:** `create_voting_jsonl.py`
223
+ **Generated:** 2025-10-31
224
+ **Processing Time:** ~5 minutes for 2,787 records
225
+
226
+ ### Generation Process
227
+ 1. Parse CSV voting data (40,929 rows)
228
+ 2. Group by `undl_id` (2,787 unique votes)
229
+ 3. For each vote:
230
+ - Aggregate member state votes
231
+ - Calculate vote summary
232
+ - Extract draft PDF text if available
233
+ 4. Write to JSONL format
234
+
235
+ ## License & Attribution
236
+
237
+ **Data Source:** United Nations Digital Library
238
+ **Website:** https://digitallibrary.un.org/
239
+
240
+ Please cite the UN Digital Library when using this dataset. This compilation is provided for research and educational purposes.
241
+
242
+ ## Contact & Issues
243
+
244
+ For questions or issues with this dataset, please refer to the UN Digital Library documentation or the data processing scripts included in this repository.
245
+
246
+ ---
247
+
248
+ **Last Updated:** October 31, 2025
249
+ **Version:** 1.0