Create README.md

README.md

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+---
+language:
+- en
+- fr
+- ar
+license: cc-by-nc-4.0
+task_categories:
+- text-retrieval
+- text-classification
+pretty_name: QESC - Quranic Emotional Situation Corpus
+size_categories:
+- n<1K
+tags:
+- Islamic education
+- emotional support
+- children
+- Arabic
+- Moroccan Darija
+- NLP
+- retrieval
+- CASS
+- prophet stories
+- emotional intensity
+---
+
+# QESC — Quranic Emotional Situation Corpus
+
+## Dataset Description
+
+**QESC** is the first structured corpus of Quranic prophet situational scenes annotated for emotional intensity and narrative resolution type, designed for child-facing emotional support retrieval in multilingual contexts (English, French, Moroccan Darija).
+
+The corpus supports the **CASS (Context-Aware Semantic Similarity)** framework — a lightweight safety-aware retrieval system that matches a child's free-text emotional expression to the most contextually appropriate prophet story, while preventing emotionally dangerous mismatches.
+
+- **Paper:** *CASS: A Context-Aware Semantic Similarity Framework for Safe Retrieval in Child-Facing Educational Applications* (Sadouk and Gadi)
+- **GitHub:** [https://github.com/lamyaa/CASS](https://github.com/lamyaa/CASS)
+- **Application:** Ya Allah — Islamic children's emotional support app
+
+---
+
+## Dataset Summary
+
+| Property | Value |
+|---|---|
+| Total entries | 100 |
+| Quranic figures covered | 26 |
+| EI scale | 1–5 (mild → severe) |
+| RT scale | 1–3 (immediate → delayed) |
+| Primary language | English |
+| Additional languages | Arabic (names), French, Moroccan Darija (paraphrases) |
+| License | CC BY-NC 4.0 |
+
+---
+
+## Supported Tasks
+
+- **Emotional situation retrieval** — match a child's free-text emotional query to the most appropriate prophet story
+- **Emotional intensity classification** — predict EI level from situation description
+- **Resolution type classification** — predict RT from situation description
+
+---
+
+## Dataset Structure
+
+### Fields
+
+| Field | Type | Description |
+|---|---|---|
+| `id` | string | Unique identifier e.g. `moses_003` |
+| `prophet_latin` | string | Prophet name in English e.g. `Moses` |
+| `prophet_arabic` | string | Prophet name in Arabic e.g. `موسى` |
+| `situation_en` | string | 3–5 sentence English description of the emotional situation |
+| `emotions` | list[string] | 2–5 primary emotion labels |
+| `EI` | float | Emotional Intensity 1.0–5.0 (half-point increments) |
+| `RT` | int | Resolution Type: 1=immediate, 2=gradual, 3=delayed |
+| `RT_label` | string | Human-readable RT label |
+| `child_paraphrase` | string | Child-friendly multilingual explanation and lesson |
+| `quran_ref` | string | Quranic verse or hadith reference |
+| `RL` | int | Recitation Level 1–3 |
+| `gender_of_protagonist` | string | `male` or `female` |
+| `annotator_agreed` | bool | Annotation confirmed by domain reviewer |
+| `version` | string | Corpus version |
+
+### EI Distribution
+
+| EI | Label | Count |
+|---|---|---|
+| 1 | Mild everyday emotion | 19 |
+| 2 | Low-moderate distress | 19 |
+| 3 | Moderate distress | 19 |
+| 4 | High distress | 24 |
+| 5 | Severe crisis-level distress | 19 |
+
+### RT Distribution
+
+| RT | Label | Count |
+|---|---|---|
+| 1 | Immediate resolution | 27 |
+| 2 | Gradual resolution | 29 |
+| 3 | Delayed resolution (long patient endurance) | 23 |
+
+### Quranic Figures Covered
+
+Prophets: Adam, Idris, Noah, Hud, Salih, Abraham, Lot, Ishmael, Isaac, Jacob, Joseph, Job, Shuaib, Moses, Aaron, David, Solomon, Elijah, Elisha, Jonah, Zachariah, John, Jesus, Muhammad.
+
+Key figures (non-prophets): Mary, Hagar.
+
+---
+
+## Example Entry
+
+```json
+{
+  "id": "joseph_003",
+  "prophet_latin": "Joseph",
+  "prophet_arabic": "يوسف",
+  "situation_en": "Joseph was separated from his beloved father Jacob
+    and thrown into a well by his own brothers out of jealousy.
+    He was then sold into slavery in Egypt, far from everything
+    he loved. Despite years of separation, Joseph never lost hope
+    in Allah or stopped praying for his family.",
+  "emotions": ["grief", "loneliness", "abandonment", "yearning", "patient_hope"],
+  "EI": 3.0,
+  "RT": 3,
+  "RT_label": "delayed_resolution",
+  "child_paraphrase": "Prophet Yusuf missed his father every single
+    day for many years. He never stopped loving him even when they
+    were far apart. Allah never forgot Yusuf, and one day reunited
+    them in a way more beautiful than either could have imagined.",
+  "quran_ref": "12:15-18",
+  "RL": 2,
+  "gender_of_protagonist": "male",
+  "annotator_agreed": true,
+  "version": "1.0"
+}
+```
+
+---
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("lamyaa/QESC")
+
+# All entries
+print(f"Total entries: {len(ds['train'])}")
+
+# Filter by EI level
+mild = [e for e in ds['train'] if e['EI'] <= 2.0]
+severe = [e for e in ds['train'] if e['EI'] == 5.0]
+
+# Filter by prophet
+joseph = [e for e in ds['train'] if e['prophet_latin'] == 'Joseph']
+
+# Filter by resolution type
+immediate = [e for e in ds['train'] if e['RT'] == 1]
+```
+
+### Use with CASS retrieval
+
+```python
+# See full code in: https://github.com/lamyaa/CASS
+
+# English query
+retrieve("I feel sad and nobody understands me")
+# → joseph_003 (EI=3, RT=3)
+
+# French query
+retrieve("Je me sens abandonné par mes amis")
+# → muhammad_002 (EI=3, RT=2)
+
+# Moroccan Darija query
+retrieve("ma kaynch had li yfahmni")
+# → shuaib_001 (EI=3, RT=3)
+```
+
+---
+
+## Safety Properties
+
+QESC is designed with child safety in mind. The EI annotation enables the CASS framework to prevent emotionally dangerous matches:
+
+- A child at EI=1 (mild embarrassment) will **never** receive an EI=5 story (extreme suffering)
+- A child at EI=5 (severe crisis) will **never** receive an EI=1 story (gentle everyday lesson)
+- Safety filtering is automatic — no user configuration required
+
+Across 5 diagnostic queries, CASS suppressed **27 of 28** emotionally dangerous entries with a mean rank drop of **37 positions** and maximum of **62 positions**.
+
+---
+
+## Annotation Guidelines
+
+**EI scale:**
+- EI=1: Mild everyday emotion — embarrassment, small disappointment, gentle worry
+- EI=2: Low-moderate distress — social exclusion, mild loneliness, minor conflict
+- EI=3: Moderate distress — betrayal, sustained loneliness, public humiliation
+- EI=4: High distress — acute fear, grief, unjust accusation, family conflict
+- EI=5: Severe crisis — extreme suffering, hopelessness, years of loss
+
+**RT scale:**
+- RT=1: Immediate resolution — comfort or answer arrives quickly (within the same scene)
+- RT=2: Gradual resolution — situation improves over weeks or months
+- RT=3: Delayed resolution — resolution requires long patient endurance (years)
+
+---
+
+## Citation
+
+```bibtex
+@article{sadouk2025cass,
+  title     = {CASS: A Context-Aware Semantic Similarity Framework
+               for Safe Retrieval in Child-Facing Educational Applications},
+  author    = {Sadouk, Lamyaa AND Gadi, Taoufiq},
+  journal   = {Education and Information Technologies},
+  year      = {2025},
+  publisher = {Springer}
+}
+```
+
+---
+
+## Dataset Card Authors
+
+**Lamyaa Sadouk**
+Ecole Marocaine des Sciences de l'Ingénieur, Casablanca, Morocco
+
+**Taoufiq Gadi**
+Laboratoire de Recherche en Mathématique, Informatique et Sciences de l'Ingénieur (MISI), Morocco
+
+## License
+
+[CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) — Attribution-NonCommercial 4.0 International
+
+You may use and share this dataset for research and educational purposes with attribution. Commercial use is not permitted without explicit permission from the author.