Update README.md

README.md

@@ -1,61 +1,12 @@
 ---
-language:
-- en
-license: other
+license: apache-2.0
 task_categories:
-- text-retrieval
 - question-answering
-- text-generation
 - text-classification
-- named-entity-recognition
-size_categories:
-- 1K<n<10K
+language:
+- en
 tags:
-- education
-- university
-- web-content
-- rag
-- knowledge-base
-- production-ready
-- nlp-enriched
-- entity-extraction
-- semantic
-pretty_name: BYU-Idaho Web Content (NLP-Enhanced)
-dataset_info:
-  features:
-  - name: index
-    dtype: int64
-  - name: url
-    dtype: string
-  - name: title
-    dtype: string
-  - name: topic
-    dtype: string
-  - name: meta_description
-    dtype: string
-  - name: content
-    dtype: string
-  - name: category
-    dtype: string
-  - name: content_type
-    dtype: string
-  - name: quality_score
-    dtype: int64
-  - name: reading_level
-    dtype: float64
-  - name: entities
-    dtype: string
-  - name: byui_terms
-    dtype: string
-  - name: acronyms
-    dtype: string
-  - name: key_phrases
-    dtype: string
-  - name: domain_ngrams
-    dtype: string
-  splits:
-  - name: train
-    num_examples: 2448
+- agent
 ---
 
 # BYU-Idaho Web Content Dataset (NLP-Enhanced)
@@ -67,41 +18,38 @@ dataset_info:
 **Records:** 2,448 ultra-high-quality pages
 **Source:** byui.edu and subdomains
 **Format:** Markdown + NLP metadata (JSON fields)
-**Version:** 4.0.0 (NLP-Enhanced)
 **Quality:** 40.2% filtered + 91.5/100 avg score + Full NLP extraction
 **Last Updated:** December 2025
 
-## 🚀 What's New in v4.0
-
 ### NLP Enrichment Features
 
-**✨ Entity Extraction** (spaCy NER)
+**Entity Extraction** (spaCy NER)
 - **15,289 organizations** extracted
 - **3,029 locations** extracted
 - **4,841 people** extracted
 - **94.2% page coverage**
 
-**✨ Acronym Detection**
+**Acronym Detection**
 - **4,036 acronyms** detected and expanded
 - **81.5% page coverage**
 - Includes common education acronyms (FAFSA, GPA, TOEFL, etc.)
 
-**✨ Domain Terminology**
+**Domain Terminology**
 - **566 BYU-Idaho specific terms** found
 - **16.7% page coverage**
 - Includes: I-Learn, Devotional, Pathway, Honor Code, campus buildings, etc.
 
-**✨ Key Phrases**
+**Key Phrases**
 - **187 action phrases** extracted
 - Common educational actions: "apply for admission", "register for classes", etc.
 
-**✨ Domain N-grams**
+**Domain N-grams**
 - Common domain-specific 3-word phrases
 - Frequency-filtered for relevance
 
 ## Dataset Structure
 
-### Core Fields (from v3.0)
+### Core Fields
 
 - **index** (`int64`): Sequential ID (1-2448)
 - **url** (`string`): Source URL
@@ -114,7 +62,7 @@ dataset_info:
 - **quality_score** (`int64`): Quality 0-100 (avg: 91.5)
 - **reading_level** (`float64`): Flesch-Kincaid grade level (avg: 14.4)
 
-### NEW NLP Fields (v4.0)
+### NLP Fields
 
 **entities** (`string` - JSON):
 ```json
@@ -305,21 +253,21 @@ tutoring_pages = [ds[i] for i in entity_index['Tutoring Center']]
 
 ## Use Cases
 
-### ✅ Entity-Aware RAG
+### Entity-Aware RAG
 ```python
 # Route queries based on entities mentioned
 if "Financial Aid" in query_entities:
     context = filter_to_financial_aid_entities()
 ```
 
-### ✅ Acronym-Expanded Search
+### Acronym-Expanded Search
 ```python
 # Automatically expand acronyms in search
 query = expand_all_acronyms(user_query)
 results = semantic_search(query)
 ```
 
-### ✅ Faceted Navigation
+### Faceted Navigation
 ```python
 # Filter by entity types
 filters = {
@@ -329,70 +277,20 @@ filters = {
 }
 ```
 
-### ✅ Smart Query Routing
+### Smart Query Routing
 ```python
 # Detect BYU-Idaho terms and route to specialized retrievers
 if any(term in query for term in byui_terms):
     use_institutional_knowledge_retriever()
 ```
 
-### ✅ Relationship Extraction
+### Relationship Extraction
 ```python
 # Find connections between entities
 # "Which offices are in Manwaring Center?"
 pages_with_both = find_pages_with_entities(['Manwaring Center'], ['organizations'])
 ```
 
-## Quality Metrics (Inherited from v3.0)
-
-| Metric | Value |
-|--------|-------|
-| Total pages | 2,448 |
-| Avg quality score | 91.5/100 |
-| Avg reading level | 14.4 grade |
-| Avg content length | 2,230 chars |
-| Empty titles | 0% |
-| Empty topics | 0% |
-
-## Version History
-
-**v4.0.0 (NLP-Enhanced)** - December 2025
-- Added entity extraction (15,289 orgs, 3,029 locs, 4,841 people)
-- Added acronym detection (4,036 acronyms)
-- Added BYU-Idaho terminology (566 terms)
-- Added key phrase extraction (187 phrases)
-- Added domain n-grams
-- 94.2% entity coverage, 81.5% acronym coverage
-
-**v3.0.0 (Enhanced)** - December 2025
-- Category classification (14 categories)
-- Content type detection (7 types)
-- Quality scoring (0-100)
-- Reading level calculation
-- 2,448 pages
-
-**v2.0.0 (Production)** - December 2025
-- Temporal filtering
-- 2,666 pages
-
-**v1.0.0 (Deduplicated)** - December 2025
-- Basic deduplication
-- 3,442 pages
-
-## Advantages Over Previous Versions
-
-| Feature | v3.0 | v4.0 (NLP) |
-|---------|------|-----------|
-| **Records** | 2,448 | 2,448 |
-| **Categories** | ✅ 14 | ✅ 14 |
-| **Quality scores** | ✅ 0-100 | ✅ 0-100 |
-| **Entities** | ❌ | **✅ 23,159 total** |
-| **Acronyms** | ❌ | **✅ 4,036** |
-| **Domain terms** | ❌ | **✅ 566** |
-| **Key phrases** | ❌ | **✅ 187** |
-| **Semantic search** | Limited | **✅ Advanced** |
-| **Entity routing** | ❌ | **✅ Yes** |
-
 ## Technical Details
 
 **NLP Pipeline:**
@@ -413,28 +311,15 @@ pages_with_both = find_pages_with_entities(['Manwaring Center'], ['organizations
 - Pattern: `ACRONYM (expansion)`
 - Pattern: `expansion (ACRONYM)`
 
-## License
-
-Internal BYU-Idaho use. Contact: ai-team@byui.edu
-
 ## Citation
 
 ```bibtex
 @misc{byui-web-content-nlp-2025,
   title={BYU-Idaho Web Content Dataset (NLP-Enhanced)},
-  author={BYU-Idaho AI Team},
+  author={Ron Vallejo},
   year={2025},
   version={4.0.0},
-  publisher={Hugging Face},
+  publisher={Brigham Young University-Idaho},
   howpublished={\url{https://huggingface.co/datasets/BYU-Idaho/Web-Content}}
 }
-```
-
-## Contact
-
-**Email:** ai-team@byui.edu
-**Organization:** Brigham Young University-Idaho
-
----
-
-**State-of-the-Art:** This is the most feature-rich university web content dataset available, combining quality filtering, categorization, quality scoring, reading levels, AND comprehensive NLP enrichment with entity extraction, acronym detection, and domain terminology. Perfect for advanced RAG, semantic search, and intelligent educational AI applications.
+```