Initial_dataset_upload

README.md

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+---
+language:
+- vi
+license: other
+pretty_name: Vietnamese Cau Cuu Facebook Comments
+tags:
+- vietnamese
+- disaster-response
+- emergency-detection
+- facebook-comments
+- text-classification
+task_categories:
+- text-classification
+task_ids:
+- binary-classification
+size_categories:
+- 1K<n<10K
+annotations_creators:
+- machine-generated
+source_datasets:
+- original
+---
+
+# 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_cuu`
+  Non-emergency content such as sympathy, reposts, hotline aggregation, updates that the family is already safe, or unrelated discussion.
+- `1`: `cau_cuu`
+  Active 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 (`0` or `1`).
+- `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.