dat201204/vietnamese-caucu-comments
Vietnamese Cau Cuu Facebook Comments Dataset Summary This dataset contains Vietnamese Facebook comments collected from a natural-disaster discussion thread and auto-labeled for binary emergency detection. The target task is to detect whether a comment is a real-time rescue request (cau_cuu) versus a non-emergency comment (khong_phai_cau_cuu). This release is intended as a bootstrap dataset for triage modeling and should be treated as a weakly supervised resource.… See the full description on the dataset page: https://huggingface.co/datasets/dat201204/vietnamese-caucu-comments.
Vietnamese Cau Cuu Facebook Comments
Dataset Summary
This dataset contains Vietnamese Facebook comments collected from a natural-disaster discussion thread and auto-labeled for binary emergency detection.
The target task is to detect whether a comment is a real-time rescue request (cau_cuu) versus a non-emergency comment (khong_phai_cau_cuu).
This release is intended as a bootstrap dataset for triage modeling and should be treated as a weakly supervised resource. Human review is strongly recommended before production use.
Task Definition
0:khong_phai_cau_cuuNon-emergency content such as sympathy, reposts, hotline aggregation, updates that the family is already safe, or unrelated discussion.1:cau_cuuActive rescue requests where people are trapped, in immediate danger, isolated, or explicitly requesting emergency evacuation/support.
Priority metric for downstream models: recall on label 1.
Data Source
- Source type: Vietnamese Facebook comments from a disaster-related post/thread.
- Data was flattened from both top-level comments and nested replies.
- Original extraction and weak labeling were produced locally for research and experimentation.
Data Fields
id: Stable synthetic identifier derived from comment tree position.text: Raw Vietnamese comment text.label: Binary weak label (0or1).confidence: Heuristic confidence score from the auto-labeling pipeline.
Class Distribution
Current version statistics:
- Total rows:
1492 - Label
0:1050 - Label
1:442
Labeling Method
Labels were assigned with a rule-based weak supervision pipeline using:
- urgent rescue keywords such as
cứu,mắc kẹt,ngập tới mái,khẩn cấp,SOS - structural signals such as phone numbers, map links, GPS-like coordinates, and location mentions
- negative filters for resolved cases (
đã được cứu,đã an toàn) and hotline/broadcast style comments
Because labels are weakly supervised, false positives and false negatives remain possible.
Recommended Use
- Training or bootstrapping a Vietnamese emergency comment classifier
- Error analysis and heuristic refinement
- Human-in-the-loop triage experiments
Limitations and Ethics
- Comments may contain sensitive situational information such as phone numbers and addresses.
- Labels are machine-generated and not fully human-verified.
- Do not use this dataset for surveillance or any harmful downstream purpose.
- Review privacy, legal, and platform-policy constraints before redistribution or deployment.
Citation
If you use this dataset, please cite the project/repository that publishes this dataset card and describe it as a weakly supervised Vietnamese rescue-request classification dataset.
