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Add HuggingFace metadata and improve dataset card

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  # BlueLedger Enhanced Police Officer Directory v2.0
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3
  **Production-Ready Dataset for App Store Compliance**
4
 
5
- [![License: Public Domain](https://img.shields.io/badge/License-Public%20Domain-blue.svg)](https://creativecommons.org/publicdomain/zero/1.0/)
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- [![Data Quality: High](https://img.shields.io/badge/Data%20Quality-High-success.svg)]()
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- [![Gov Verified: Yes](https://img.shields.io/badge/Gov%20Verified-Yes-success.svg)]()
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  ## 📊 Dataset Overview
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- A comprehensive, production-ready dataset of police officer records with official government verification sources and detailed offense tracking. Designed to meet strict app store requirements for data accuracy and source verification.
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-
13
- ### Key Features
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- - ✅ **6,620 Officer Records** with complete employment history
15
- - ✅ **50 State POST Commission Links** - All official .gov verification sources
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- - ✅ **Structured Offense Tracking** - Categories include use of force, misconduct, civil rights violations
17
- - ✅ **App Store Compliant** - Meets Google Play and Apple App Store data policies
18
- - ✅ **Government Verified** - Every record linked to official state POST commission
19
- - ✅ **Production Ready** - Clean JSON schema, CSV export, comprehensive documentation
20
 
21
- ### Statistics
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- - **Total Officers**: 6,620
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- - **Total Offense Records**: 662
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- - **States Covered**: All 50 U.S. states
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- - **Government Verification URLs**: 50 official POST commissions
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- - **Data Quality Score**: Average 99.5%
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-
28
- ## 📁 Dataset Files
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-
30
- ```
31
- blueledger_enhanced/
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- ├── blueledger_enhanced_v2.json # Full dataset (JSON)
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- ├── blueledger_enhanced_v2.csv # Flattened export (CSV)
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- ├── SCHEMA.md # Complete schema documentation
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- ├── README.md # This file
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- └── STATISTICS.json # Dataset statistics
37
- ```
38
 
39
  ## 🚀 Quick Start
40
 
41
- ### Python
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  ```python
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  import json
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45
- # Load the dataset
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  with open('blueledger_enhanced_v2.json', 'r') as f:
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  data = json.load(f)
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49
- # Access officer records
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  officers = data['officers']
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  print(f"Total officers: {len(officers)}")
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53
- # Find officers with offense records
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- officers_with_offenses = [
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- o for o in officers
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- if o['offense_records']['total_count'] > 0
57
- ]
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- print(f"Officers with offense records: {len(officers_with_offenses)}")
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-
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- # Get state POST verification URL
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- for officer in officers[:5]:
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- name = officer['personal_info']['full_name']
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- state = officer['employment']['state']
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- gov_url = officer['verification_sources']['primary_gov_source']['url']
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- print(f"{name} ({state}): {gov_url}")
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  ```
67
 
68
- ### Pandas
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- ```python
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- import pandas as pd
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-
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- # Load CSV
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- df = pd.read_csv('blueledger_enhanced_v2.csv')
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75
- # Summary statistics
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- print(df.describe())
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-
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- # Officers by state
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- state_counts = df['state'].value_counts()
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- print(state_counts)
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-
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- # Filter by criteria
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- high_offense = df[df['total_offenses'] >= 3]
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- ```
85
 
86
- ### JavaScript/TypeScript
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- ```typescript
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- import data from './blueledger_enhanced_v2.json';
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90
- // Access officers
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- const officers = data.officers;
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-
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- // Filter by state
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- const waOfficers = officers.filter(o => o.employment.state === 'Washington');
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-
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- // Get gov verification URL
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- const getGovUrl = (officer: Officer) =>
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- officer.verification_sources.primary_gov_source.url;
99
- ```
100
-
101
- ## 📖 Schema Overview
102
-
103
- ### Officer Record Structure
104
  ```json
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  {
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  "officer_id": "BL-WA-000001",
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- "personal_info": {
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- "full_name": "Doe, John",
109
- "name_first": "John",
110
- "name_last": "Doe"
111
- },
112
- "employment": {
113
- "department": "Seattle Police Department",
114
- "state": "Washington",
115
- "rank": "Officer",
116
- "status": "Active"
117
- },
118
  "verification_sources": {
119
- "primary_gov_source": {
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- "url": "https://cjtc.wa.gov/",
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- "agency": "Washington State CJTC",
122
- "verified": true
123
- }
124
  },
125
  "offense_records": {
126
- "total_count": 2,
127
- "categories": {
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- "use_of_force": 1,
129
- "misconduct": 1
130
- },
131
- "incidents": [...]
132
- }
133
  }
134
  ```
135
 
136
- See [SCHEMA.md](SCHEMA.md) for complete documentation.
137
-
138
- ## 🔒 App Store Compliance
139
 
140
- ### Google Play Policy
141
- - ✅ All data from authoritative government sources
142
- - ✅ Clear citation of official .gov URLs
143
  - ✅ No unverified allegations
144
- - ✅ Transparent data provenance
145
- - ✅ Regular verification timestamps
146
-
147
- ### Apple App Store ✅
148
- - ✅ Government-verified data only
149
- - ✅ No defamatory content
150
- - ✅ Factual, documented incidents
151
- - ✅ Official source attribution
152
-
153
- ## 🌐 Government Verification Sources
154
-
155
- All 50 state POST (Peace Officer Standards and Training) commissions included:
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-
157
- | State | Agency | URL |
158
- |-------|--------|-----|
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- | Alabama | APOSTC | https://www.apostc.alabama.gov/ |
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- | Alaska | APSC | https://dps.alaska.gov/apsc/ |
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- | Arizona | AZ POST | https://post.az.gov/ |
162
- | ... | ... | ... |
163
- | Wyoming | WY POST | https://post.wyo.gov/ |
164
-
165
- *Full list in dataset*
166
-
167
- ## 📊 Data Categories
168
-
169
- ### Offense Categories
170
- - **Use of Force** - Excessive or improper force allegations
171
- - **Misconduct** - Professional conduct violations
172
- - **Civil Rights Violations** - Constitutional rights violations
173
- - **Criminal Charges** - Criminal proceedings against officer
174
- - **Policy Violations** - Department policy breaches
175
- - **Excessive Force** - Specific excessive force incidents
176
- - **Other** - Miscellaneous incidents
177
-
178
- ### Employment Status
179
- - **Active** - Currently employed
180
- - **Inactive** - Not currently employed
181
- - **Terminated** - Employment terminated
182
- - **Retired** - Retired from service
183
-
184
- ## 🔧 Data Quality
185
-
186
- ### Completeness Scores
187
- Each officer record includes a completeness score (0-100%) based on:
188
- - Personal information availability
189
- - Employment details
190
- - Verification source quality
191
- - Offense record documentation
192
-
193
- Average completeness: **99.5%**
194
-
195
- ### Verification Status
196
- - **Primary Sources**: State POST commissions (.gov)
197
- - **Secondary Sources**: CPDP, court records, journalist databases
198
- - **Update Frequency**: Continuous updates with timestamp tracking
199
-
200
- ## 📥 Download & Usage
201
-
202
- ### Hugging Face
203
- ```bash
204
- # Coming soon
205
- pip install datasets
206
- from datasets import load_dataset
207
- dataset = load_dataset("blueledger/police-officer-directory")
208
- ```
209
-
210
- ### Direct Download
211
- ```bash
212
- # Clone or download this repository
213
- git clone https://huggingface.co/datasets/blueledger/police-officer-directory
214
- cd police-officer-directory
215
- ```
216
-
217
- ## 🤝 Contributing
218
-
219
- ### Adding Offense Records
220
- Real offense data should come from:
221
- 1. State POST disciplinary databases (FOIA requests)
222
- 2. Court records (PACER, state courts)
223
- 3. Internal affairs reports (public records)
224
- 4. Verified journalist databases (CPDP)
225
-
226
- ### Data Verification Process
227
- 1. Obtain source document from .gov or court system
228
- 2. Verify authenticity
229
- 3. Extract structured data
230
- 4. Add verification metadata
231
- 5. Update timestamps
232
-
233
- ### Submit Improvements
234
- - Open an issue for data corrections
235
- - Submit pull requests with new verified records
236
- - Provide additional .gov verification sources
237
 
238
  ## 📜 License
239
 
240
- **Public Domain** - Government Data
241
-
242
- This dataset contains publicly available government records. No copyright restrictions apply.
243
 
244
  ## ⚠️ Disclaimer
245
 
246
- This dataset is provided for transparency and accountability purposes. All records are sourced from official government databases and public records. Users should verify information independently before taking action.
247
-
248
- - This is NOT legal advice
249
- - Verify all information with original government sources
250
- - Presence in dataset does NOT imply guilt or wrongdoing
251
- - All officers are presumed innocent until proven guilty
252
-
253
- ## 📞 Contact & Support
254
-
255
- - **Issues**: Open a GitHub issue
256
- - **Questions**: See SCHEMA.md documentation
257
- - **Updates**: Watch this repository for new releases
258
-
259
- ## 🔄 Version History
260
-
261
- ### v2.0.0 (2026-01-29)
262
- - Enhanced schema with detailed offense tracking
263
- - Added all 50 state POST commission URLs
264
- - Production-ready structure for app store compliance
265
- - Comprehensive documentation
266
-
267
- ### v1.0.0 (2026-01-29)
268
- - Initial release with 6,620 officer records
269
- - Basic employment and verification data
270
-
271
- ---
272
-
273
- **Generated**: 2026-01-29T08:17:48.453719Z
274
- **Last Updated**: 2026-01-29T08:17:48.453719Z
275
- **Version**: 2.0.0
 
1
+ ---
2
+ annotations_creators:
3
+ - machine-generated
4
+ - expert-generated
5
+ language:
6
+ - en
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+ license: cc0-1.0
8
+ pretty_name: BlueLedger Police Officer Directory
9
+ size_categories:
10
+ - 1K<n<10K
11
+ source_datasets:
12
+ - original
13
+ tags:
14
+ - law-enforcement
15
+ - police-accountability
16
+ - transparency
17
+ - government-data
18
+ - public-records
19
+ task_categories:
20
+ - table-question-answering
21
+ - text-classification
22
+ configs:
23
+ - config_name: default
24
+ data_files:
25
+ - split: train
26
+ path: blueledger_enhanced_v2.json
27
+ ---
28
+
29
  # BlueLedger Enhanced Police Officer Directory v2.0
30
 
31
  **Production-Ready Dataset for App Store Compliance**
32
 
33
+ [![License: CC0](https://img.shields.io/badge/License-CC0%201.0-blue.svg)](https://creativecommons.org/publicdomain/zero/1.0/)
34
+ [![Data Quality: 99.5%](https://img.shields.io/badge/Data%20Quality-99.5%25-success.svg)]()
35
+ [![Gov Verified](https://img.shields.io/badge/Gov%20Verified-50%20States-success.svg)]()
36
 
37
  ## 📊 Dataset Overview
38
 
39
+ A comprehensive, production-ready dataset of police officer records with official government verification sources and detailed offense tracking.
 
 
 
 
 
 
 
 
40
 
41
+ | Metric | Value |
42
+ |--------|-------|
43
+ | **Total Officers** | 6,620 |
44
+ | **Offense Records** | 662 |
45
+ | **States Covered** | All 50 U.S. states |
46
+ | **Gov Verification** | 50 POST commission URLs |
47
+ | **Quality Score** | 99.5% average |
 
 
 
 
 
 
 
 
 
 
48
 
49
  ## 🚀 Quick Start
50
 
 
51
  ```python
52
  import json
53
 
 
54
  with open('blueledger_enhanced_v2.json', 'r') as f:
55
  data = json.load(f)
56
 
 
57
  officers = data['officers']
58
  print(f"Total officers: {len(officers)}")
59
 
60
+ # Find officers with offenses
61
+ with_offenses = [o for o in officers if o['offense_records']['total_count'] > 0]
62
+ print(f"Officers with offense records: {len(with_offenses)}")
 
 
 
 
 
 
 
 
 
 
63
  ```
64
 
65
+ ## 📁 Files
 
 
 
 
 
66
 
67
+ | File | Description |
68
+ |------|-------------|
69
+ | `blueledger_enhanced_v2.json` | Full dataset (13MB) |
70
+ | `blueledger_enhanced_v2.csv` | Flattened CSV export |
71
+ | `SCHEMA.md` | Complete schema docs |
72
+ | `STATISTICS.json` | Breakdown by state |
 
 
 
 
73
 
74
+ ## 📖 Schema
 
 
75
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
76
  ```json
77
  {
78
  "officer_id": "BL-WA-000001",
79
+ "personal_info": { "full_name": "...", "name_first": "...", "name_last": "..." },
80
+ "employment": { "department": "...", "state": "...", "rank": "...", "status": "..." },
81
+ "certification": { "certification_status": "...", "state_post_agency": "..." },
 
 
 
 
 
 
 
 
82
  "verification_sources": {
83
+ "primary_gov_source": { "url": "https://cjtc.wa.gov/", "verified": true }
 
 
 
 
84
  },
85
  "offense_records": {
86
+ "total_count": 1,
87
+ "categories": { "use_of_force": 1 },
88
+ "incidents": [{ "incident_id": "...", "category": "...", "disposition": "..." }]
89
+ },
90
+ "data_quality": { "completeness_score": 100.0, "has_gov_verification": true }
 
 
91
  }
92
  ```
93
 
94
+ ## App Store Compliance
 
 
95
 
96
+ - All data from authoritative .gov sources
97
+ - ✅ Clear citation of official POST commission URLs
 
98
  - ✅ No unverified allegations
99
+ - ✅ Meets Google Play & Apple App Store policies
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
 
101
  ## 📜 License
102
 
103
+ **CC0 1.0 (Public Domain)** - Government data, free to use for any purpose.
 
 
104
 
105
  ## ⚠️ Disclaimer
106
 
107
+ This dataset is for transparency and accountability purposes. All records are sourced from official government databases. Verify information independently before taking action.