SeyhaLite commited on
Commit
1d7ea1d
Β·
verified Β·
1 Parent(s): 77a719d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +98 -12
README.md CHANGED
@@ -3,27 +3,113 @@ language:
3
  - km
4
  license: apache-2.0
5
  size_categories:
6
- - n<20000
7
  task_categories:
8
  - text-generation
9
  pretty_name: Personal Construction Professionals Khmer
10
  tags:
11
  - khmer
 
 
 
12
  - clean-data
13
- - dataset-manager
14
  ---
15
- # Personal Construction Professionals Khmer
16
 
17
- This dataset is managed by **Seyhalite Dataset Manager**.
18
 
19
- ### Dataset Summary
20
- - **Total Rows**: 20000
21
- - **Language**: Khmer (km)
22
- - **Task**: text-generation
23
- - **Last Updated**: 2026-02-09 09:59:40
24
 
25
- ### Data Structure
26
- This dataset contains the following features: uuid, professional_persona, sports_persona, arts_persona, travel_persona, culinary_persona, persona, cultural_background, skills_and_expertise, hobbies_and_interests, skills_and_expertise_list, hobbies_and_interests_list, career_goals_and_ambitions, sex, age, marital_status, education_level, occupation, industry, current_location, country
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
27
 
28
  ---
29
- Created by seyhalite
 
3
  - km
4
  license: apache-2.0
5
  size_categories:
6
+ - 10K<n<100K
7
  task_categories:
8
  - text-generation
9
  pretty_name: Personal Construction Professionals Khmer
10
  tags:
11
  - khmer
12
+ - construction
13
+ - engineering
14
+ - personas
15
  - clean-data
16
+ - seyhalite
17
  ---
 
18
 
19
+ # πŸ—οΈ Personal Construction Professionals Khmer
20
 
21
+ Welcome to the **SeyhaLite** collection. This dataset has been curated and cleaned to support the development of high-quality Khmer Language Models (LLMs) specifically for generating realistic personas and profiles of construction workers, engineers, and site managers in the Cambodian context.
 
 
 
 
22
 
23
+ ### 🌟 Project Vision
24
+ I hope this dataset helps your project succeed! Whether you are building a vocational training assistant, an AI project management tool, or conducting research on the industrial workforce, this data is designed to provide clear and accurate profiles about construction professionals and their daily life in the Khmer context.
25
+
26
+ Your dedication to advancing Khmer AI is truly inspiringβ€”keep up the great work! πŸš€
27
+
28
+ ### πŸ“Š Dataset Summary
29
+ - **Total Rows:** 20,000 clean entries
30
+ - **Language:** Khmer (km)
31
+ - **Focus:** Construction Industry Professionals & Workers
32
+ - **Task:** Text Generation
33
+
34
+ ### πŸ›  Data Schema
35
+ | Column | Description |
36
+ | :--- | :--- |
37
+ | **uuid** | Unique identifier for each entry |
38
+ | **professional_persona** | Detailed narrative of the professional background and work ethics |
39
+ | **sports_persona** | Persona profile related to sports and fitness interests |
40
+ | **arts_persona** | Persona profile related to arts and creative interests |
41
+ | **travel_persona** | Persona profile related to travel and exploration interests |
42
+ | **culinary_persona** | Persona profile related to food and cooking interests |
43
+ | **persona** | General combined overview of the individual's character |
44
+ | **cultural_background** | Social and cultural identity information |
45
+ | **skills_and_expertise** | Narrative description of professional and technical skills |
46
+ | **hobbies_and_interests** | Narrative description of personal hobbies |
47
+ | **skills_and_expertise_list** | Specific list of skills and expertise |
48
+ | **hobbies_and_interests_list** | Specific list of hobbies and interests |
49
+ | **career_goals_and_ambitions** | Long-term professional objectives and aspirations |
50
+ | **sex** | Gender identification |
51
+ | **age** | Age of the individual |
52
+ | **marital_status** | Marital status |
53
+ | **education_level** | Academic background and degree level |
54
+ | **occupation** | Specific job title or role in construction |
55
+ | **industry** | Construction and infrastructure industry |
56
+ | **current_location** | City or province of residence |
57
+ | **country** | Country of residence |
58
+
59
+ ---
60
+
61
+ # πŸ—οΈ αž’αžαŸ’αžαžŸαž‰αŸ’αž‰αžΆαžŽαž’αŸ’αž“αž€αž‡αŸ†αž“αžΆαž‰αž•αŸ’αž“αŸ‚αž€αžŸαŸ†αžŽαž„αŸ‹αž€αž˜αŸ’αž–αž»αž‡αžΆ (Personal Construction Professionals Khmer)
62
+
63
+ αžŸαžΌαž˜αžŸαŸ’αžœαžΆαž‚αž˜αž“αŸαž˜αž€αž€αžΆαž“αŸ‹αž”αžŽαŸ’αžαž»αŸ†αž‘αž·αž“αŸ’αž“αž“αŸαž™αžšαž”αžŸαŸ‹ **SeyhaLite**αŸ” Dataset αž“αŸαŸ‡αžαŸ’αžšαžΌαžœαž”αžΆαž“αžšαŸ€αž”αž…αŸ† αž“αž·αž„αžŸαž˜αŸ’αž’αžΆαžαž™αŸ‰αžΆαž„αž›αŸ’αž’ αžŠαžΎαž˜αŸ’αž”αžΈαž‚αžΆαŸ†αž‘αŸ’αžšαžŠαž›αŸ‹αž€αžΆαžšαž’αž—αž·αžœαžŒαŸ’αžαž”αŸ’αžšαž–αŸαž“αŸ’αž’ AI αž€αŸ’αž“αž»αž„αž€αžΆαžšαž”αž„αŸ’αž€αžΎαžαž’αžαŸ’αžαžŸαž‰αŸ’αž‰αžΆαžŽαžαž½αž’αž„αŸ’αž‚ (Persona Generation) αžŸαž˜αŸ’αžšαžΆαž”αŸ‹αž˜αŸαž‡αžΆαž„ αžœαž·αžŸαŸ’αžœαž€αžš αž“αž·αž„αž”αž»αž‚αŸ’αž‚αž›αž·αž€αžŠαŸ‚αž›αž”αž˜αŸ’αžšαžΎαž€αžΆαžšαž€αŸ’αž“αž»αž„αžœαž·αžŸαŸαž™αžŸαŸ†αžŽαž„αŸ‹αž“αŸ…αž€αŸ’αž“αž»αž„αž”αŸ’αžšαž‘αŸαžŸαž€αž˜αŸ’αž–αž»αž‡αžΆαŸ”
64
+
65
+ ### 🌟 αž…αž€αŸ’αžαž»αžœαž·αžŸαŸαž™αžšαž”αžŸαŸ‹αž‚αž˜αŸ’αžšαŸ„αž„
66
+ αžαŸ’αž‰αž»αŸ†αžŸαž„αŸ’αžƒαžΉαž˜αž™αŸ‰αžΆαž„αž˜αž»αžαž˜αžΆαŸ†αžαžΆ Dataset αž“αŸαŸ‡αž“αžΉαž„αž‡αž½αž™αž±αŸ’αž™αž‚αž˜αŸ’αžšαŸ„αž„αžšαž”αžŸαŸ‹αž’αŸ’αž“αž€αž‘αž‘αž½αž›αž”αžΆαž“αž‡αŸ„αž‚αž‡αŸαž™! αž‘αŸ„αŸ‡αž”αžΈαž‡αžΆαž’αŸ’αž“αž€αž€αŸ†αž–αž»αž„αž”αž„αŸ’αž€αžΎαžαž€αž˜αŸ’αž˜αžœαž·αž’αžΈαž‡αŸ†αž“αž½αž™αž€αžΆαžšαž”αžŽαŸ’αžαž»αŸ‡αž”αžŽαŸ’αžαžΆαž›αžœαž·αž‡αŸ’αž‡αžΆαž‡αžΈαžœαŸˆ αž€αž˜αŸ’αž˜αžœαž·αž’αžΈαž‡αŸ†αž“αž½αž™ AI αž¬αž’αŸ’αžœαžΎαž€αžΆαžšαžŸαŸ’αžšαžΆαžœαž‡αŸ’αžšαžΆαžœαž’αŸ†αž–αžΈαž€αž˜αŸ’αž›αžΆαŸ†αž„αž–αž›αž€αž˜αŸ’αž˜αž€αŸ’αž“αž»αž„αž§αžŸαŸ’αžŸαžΆαž αž€αž˜αŸ’αž˜αžŸαŸ†αžŽαž„αŸ‹αž€αŸαžŠαŸ„αž™ αž‘αž·αž“αŸ’αž“αž“αŸαž™αž“αŸαŸ‡αžαŸ’αžšαžΌαžœαž”αžΆαž“αžšαŸ€αž”αž…αŸ†αž‘αžΎαž„αžŠαžΎαž˜αŸ’αž”αžΈαž•αŸ’αžαž›αŸ‹αž“αžΌαžœαž–αŸαžαŸŒαž˜αžΆαž“αž‡αžΆαž€αŸ‹αžŸαŸ’αžαŸ‚αž„αž’αŸ†αž–αžΈαž”αŸ’αžšαžœαžαŸ’αžαž·αž€αžΆαžšαž„αžΆαžš αž“αž·αž„αž‡αžΈαžœαž·αžαž”αŸ’αžšαž…αžΆαŸ†αžαŸ’αž„αŸƒαžšαž”αžŸαŸ‹αž’αŸ’αž“αž€αž‡αŸ†αž“αžΆαž‰αž•αŸ’αž“αŸ‚αž€αžŸαŸ†αžŽαž„αŸ‹αž€αŸ’αž“αž»αž„αž”αžšαž·αž”αž‘αžαŸ’αž˜αŸ‚αžšαŸ”
67
+
68
+ αž€αžΆαžšαžαž·αžαžαŸ†αž”αŸ’αžšαžΉαž„αž”αŸ’αžšαŸ‚αž„αžšαž”αžŸαŸ‹αž’αŸ’αž“αž€αž€αŸ’αž“αž»αž„αž€αžΆαžšαž›αžΎαž€αžŸαŸ’αž‘αž½αž™ AI αž—αžΆαžŸαžΆαžαŸ’αž˜αŸ‚αžš αž‚αžΊαž‡αžΆαžšαžΏαž„αžŠαŸ‚αž›αž‚αž½αžšαž±αŸ’αž™αž€αŸ„αžαžŸαžšαžŸαžΎαžšαžαŸ’αž›αžΆαŸ†αž„αžŽαžΆαžŸαŸ‹! πŸ’ͺ
69
+
70
+ ### πŸ“Š αžŸαŸαž…αž€αŸ’αžαžΈαžŸαž„αŸ’αžαŸαž”αž“αŸƒαž‘αž·αž“αŸ’αž“αž“αŸαž™
71
+ - **αž…αŸ†αž“αž½αž“αž‡αž½αžš (Rows):** ្០,០០០ αž‡αž½αžš
72
+ - **αž—αžΆαžŸαžΆ:** αžαŸ’αž˜αŸ‚αžš (Khmer)
73
+ - **αž‚αŸ„αž›αž”αŸ†αžŽαž„:** αž€αžΆαžšαž”αž„αŸ’αž€αžΎαžαž’αžαŸ’αžαžŸαž‰αŸ’αž‰αžΆαžŽαž’αŸ’αž“αž€αž‡αŸ†αž“αžΆαž‰αž€αŸ’αž“αž»αž„αžœαž·αžŸαŸαž™αžŸαŸ†αžŽαž„αŸ‹
74
+ - **αž”αŸ’αžšαž—αŸαž‘αž—αžΆαžšαž€αž·αž…αŸ’αž…:** Text Generation
75
+
76
+ ### πŸ›  αžšαž…αž“αžΆαžŸαž˜αŸ’αž–αŸαž“αŸ’αž’αž‘αž·αž“αŸ’αž“αž“αŸαž™
77
+ | αž‡αž½αžšαžˆαžš (Column) | αž€αžΆαžšαž–αž·αž–αžŽαŸŒαž“αžΆ |
78
+ | :--- | :--- |
79
+ | **uuid** | αž›αŸαžαžŸαž˜αŸ’αž‚αžΆαž›αŸ‹αž‘αž·αž“αŸ’αž“αž“αŸαž™ |
80
+ | **professional_persona** | αžšαŸ€αž”αžšαžΆαž”αŸ‹αž’αŸ†αž–αžΈαž”αž‘αž–αž·αžŸαŸ„αž’αž“αŸαž€αžΆαžšαž„αžΆαžš αž“αž·αž„αž€αŸ’αžšαž˜αžŸαžΈαž›αž’αž˜αŸŒ |
81
+ | **sports_persona** | αž’αžαŸ’αžαžŸαž‰αŸ’αž‰αžΆαžŽαž–αžΆαž€αŸ‹αž–αŸαž“αŸ’αž’αž“αžΉαž„αžœαž·αžŸαŸαž™αž€αžΈαž‘αžΆ |
82
+ | **arts_persona** | αž’αžαŸ’αžαžŸαž‰αŸ’αž‰αžΆαžŽαž–αžΆαž€αŸ‹αž–αŸαž“αŸ’αž’αž“αžΉαž„αžœαž·αžŸαŸαž™αžŸαž·αž›αŸ’αž”αŸˆ |
83
+ | **travel_persona** | αž’αžαŸ’αžαžŸαž‰αŸ’αž‰αžΆαžŽαž–αžΆαž€αŸ‹αž–αŸαž“αŸ’αž’αž“αžΉαž„αž€αžΆαžšαžŠαžΎαžšαž€αž˜αŸ’αžŸαžΆαž“αŸ’αž |
84
+ | **culinary_persona** | αž’αžαŸ’αžαžŸαž‰αŸ’αž‰αžΆαžŽαž–αžΆαž€αŸ‹αž–αŸαž“αŸ’αž’αž“αžΉαž„αžœαž·αžŸαŸαž™αž˜αŸ’αž αžΌαž”αž’αžΆαž αžΆαžš |
85
+ | **persona** | αž€αžΆαžšαž–αž·αž–αžŽαŸŒαž“αžΆαž‡αžΆαžšαž½αž˜αž’αŸ†αž–αžΈαž”αž»αž‚αŸ’αž€αž›αž·αž€αž›αž€αŸ’αžαžŽαŸˆ |
86
+ | **cultural_background** | αž”αžšαž·αž”αž‘αžœαž”αŸ’αž”αž’αž˜αŸŒ αž“αž·αž„αž’αžαŸ’αžαžŸαž‰αŸ’αž‰αžΆαžŽαžŸαž„αŸ’αž‚αž˜ |
87
+ | **skills_and_expertise** | αž€αžΆαžšαžšαŸ€αž”αžšαžΆαž”αŸ‹αž’αŸ†αž–αžΈαž‡αŸ†αž“αžΆαž‰ αž“αž·αž„αž―αž€αž‘αŸαžŸαž€αžΆαžšαž„αžΆαžš |
88
+ | **hobbies_and_interests** | αž€αžΆαžšαžšαŸ€αž”αžšαžΆαž”αŸ‹αž’αŸ†αž–αžΈαž…αŸ†αžŽαž„αŸ‹αž…αŸ†αžŽαžΌαž›αž…αž·αžαŸ’αžαž•αŸ’αž‘αžΆαž›αŸ‹αžαŸ’αž›αž½αž“ |
89
+ | **skills_and_expertise_list** | αž”αž‰αŸ’αž‡αžΈαžšαžΆαž™αž“αžΆαž˜αž‡αŸ†αž“αžΆαž‰αž”αž…αŸ’αž…αŸαž€αž‘αŸαžŸ |
90
+ | **hobbies_and_interests_list** | αž”αž‰αŸ’αž‡αžΈαžšαžΆαž™αž“αžΆαž˜αž…αŸ†αžŽαž„αŸ‹αž…αŸ†αžŽαžΌαž›αž…αž·αžαŸ’αž |
91
+ | **career_goals_and_ambitions** | αž‚αŸ„αž›αžŠαŸ… αž“αž·αž„αž˜αž αž·αž…αŸ’αž†αžαžΆαž“αŸ…αžαŸ’αž„αŸƒαž’αž“αžΆαž‚αž |
92
+ | **sex** | αž—αŸαž‘ |
93
+ | **age** | αž’αžΆαž™αž» |
94
+ | **marital_status** | αžŸαŸ’αžαžΆαž“αž—αžΆαž–αž‚αŸ’αžšαž½αžŸαžΆαžš |
95
+ | **education_level** | αž€αž˜αŸ’αžšαž·αžαž“αŸƒαž€αžΆαžšαžŸαž·αž€αŸ’αžŸαžΆ αž¬αžŸαž‰αŸ’αž‰αžΆαž”αžαŸ’αžš |
96
+ | **occupation** | αžαž½αž“αžΆαž‘αžΈ αž¬αž˜αž»αžαžšαž”αžšαž€αŸ’αž“αž»αž„αžœαž·αžŸαŸαž™αžŸαŸ†αžŽαž„αŸ‹ |
97
+ | **industry** | αžœαž·αžŸαŸαž™αžŸαŸ†αžŽαž„αŸ‹ αž“αž·αž„αž αŸαžŠαŸ’αž‹αžΆαžšαž…αž“αžΆαžŸαž˜αŸ’αž–αŸαž“αŸ’αž’ |
98
+ | **current_location** | αž‘αžΈαžαžΆαŸ†αž„αžšαžŸαŸ‹αž“αŸ…αž”αž…αŸ’αž…αž»αž”αŸ’αž”αž“αŸ’αž“ (αž€αŸ’αžšαž»αž„/αžαŸαžαŸ’αž) |
99
+ | **country** | αž”αŸ’αžšαž‘αŸαžŸ |
100
+
101
+ ---
102
+
103
+ ### ❀️ Support & Community
104
+ If you find this dataset helpful, please consider supporting my work to keep the Khmer AI community growing.
105
+
106
+ * ⭐ **Like & Follow** this repository for updates.
107
+ * πŸ”— **Share** it with fellow developers.
108
+ * β˜• **Donate**: Your support helps me maintain and release more high-quality datasets.
109
+
110
+ | **Binance Pay** | **Scan QR Code** |
111
+ | :--- | :--- |
112
+ | **ID:** `792183661` | <img src="https://i.ibb.co/hFjw31XH/image.png" width="200" alt="Binance QR Code"> |
113
 
114
  ---
115
+ *Created with ❀️ by **SeyhaLite***