Data · dataset · 2026
tamuzc/DisastQA
Listed in Hugging Face Datasets
Description
🧠 DisastQA: Disaster-Domain Question Answering Benchmark 📌 Overview DisastQA is a large-scale benchmark for evaluating question answering (QA) systems in disaster-response scenarios. It is designed to capture two core challenges of real-world disasters: Retrieval uncertainty (incomplete, noisy, or conflicting evidence) Factual completeness (answers require multiple atomic facts) The benchmark supports both multiple-choice (MCQ) and open-ended (OE) question answering… See the full description on the dataset page: huggingface.co/datasets/tamuzc/DisastQA.
Links
Where it is published
- Hugging Face dataset page huggingface.co/datasets/tamuzc/DisastQA ↗
landing page · from Hugging Face
Catalogue records · 1
- Hub API huggingface.co/api/datasets/tamuzc/DisastQA ↗
metadata API · from Hugging Face
Topics
- From keywords
- Computer Science & AI
Provenance · 1 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Hugging Face Datasets | tamuzc/DisastQA | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · Hugging Face | connector:huggingface@1.0.0 | /gated |
| concepts[field].local:field:computer-science-ai | mapping · Hugging Face | connector:huggingface@1.0.0 | |
| created_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| description | source · Hugging Face | connector:huggingface@1.0.0 | /description |
| publication_date | source · Hugging Face | connector:huggingface@1.0.0 | |
| title | source · Hugging Face | connector:huggingface@1.0.0 | /id |
| updated_date | source · Hugging Face | connector:huggingface@1.0.0 |