Update README.md

README.md

@@ -49,9 +49,11 @@ This dataset contains web-crawled text data with comprehensive metadata, quality
 
 ## EAI Taxonomy Classification
 
-Comprehensive hierarchical classification system with primary and secondary labels - the main contribution of this dataset:
+Comprehensive hierarchical classification system with primary and secondary labels - the most important feature of this dataset:
+
+<details>
+<summary><strong>Free Decimal Correspondence</strong></summary>
 
-### Free Decimal Correspondence
 Dewey Decimal-inspired classification with 3-level hierarchical labels:
 
 | Component | Description | Path |
@@ -65,9 +67,12 @@ Dewey Decimal-inspired classification with 3-level hierarchical labels:
 | Secondary Level 2 | Alternative mid-level category | `eai_taxonomy.free_decimal_correspondence.secondary.labels.level_2` |
 | Secondary Level 3 | Alternative specific category | `eai_taxonomy.free_decimal_correspondence.secondary.labels.level_3` |
 
-### Bloom's Taxonomy Integration
+</details>
+
+<details>
+<summary><strong>Bloom's Taxonomy Integration</strong></summary>
 
-#### Cognitive Process
+### Cognitive Process
 Learning and thinking skill levels:
 
 | Component | Description | Path |
@@ -88,7 +93,7 @@ Learning and thinking skill levels:
 | `5` | Evaluate |
 | `6` | Create |
 
-#### Knowledge Domain
+### Knowledge Domain
 Subject matter categorization:
 
 | Component | Description | Path |
@@ -107,9 +112,12 @@ Subject matter categorization:
 | `3` | Procedural |
 | `4` | Metacognitive |
 
-### Document Characteristics
+</details>
+
+<details>
+<summary><strong>Document Characteristics</strong></summary>
 
-#### Document Type v1
+### Document Type v1
 Format and structure classification:
 
 | Component | Description | Path |
@@ -141,7 +149,7 @@ Format and structure classification:
 | `16` | Images/Videos/Audio |
 | `17` | Other/Unclassified |
 
-#### Document Type v2
+### Document Type v2
 Updated format and structure classification:
 
 | Component | Description | Path |
@@ -181,7 +189,7 @@ Updated format and structure classification:
 | `24` | User Review |
 | `25` | Other/Unclassified |
 
-#### Extraction Artifacts
+### Extraction Artifacts
 Technical extraction quality indicators:
 
 | Component | Description | Path |
@@ -201,7 +209,7 @@ Technical extraction quality indicators:
 | `3` | Irrelevant Content |
 | `4` | Indeterminate |
 
-#### Missing Content
+### Missing Content
 Content completeness assessment:
 
 | Component | Description | Path |
@@ -223,9 +231,12 @@ Content completeness assessment:
 | `5` | Missing Referenced Data |
 | `6` | Indeterminate |
 
-### Content Quality Dimensions
+</details>
 
-#### Reasoning Depth
+<details>
+<summary><strong>Content Quality Dimensions</strong></summary>
+
+### Reasoning Depth
 Complexity of logical reasoning:
 
 | Component | Description | Path |
@@ -246,7 +257,7 @@ Complexity of logical reasoning:
 | `5` | Exceptional Reasoning |
 | `6` | Indeterminate |
 
-#### Technical Correctness
+### Technical Correctness
 Accuracy of technical information:
 
 | Component | Description | Path |
@@ -267,7 +278,7 @@ Accuracy of technical information:
 | `5` | Exceptionally Correct |
 | `6` | Not Applicable/Indeterminate |
 
-#### Education Level
+### Education Level
 Appropriate educational grade level:
 
 | Component | Description | Path |
@@ -287,16 +298,19 @@ Appropriate educational grade level:
 | `4` | Graduate/Expert Level |
 | `5` | Indeterminate |
 
-## Schema Structure
+</details>
+
+<details>
+<summary><strong>Schema Structure</strong></summary>
 
-### Core Fields
+## Core Fields
 
 | Field | Type | Description | Path |
 |-------|------|-------------|------|
 | `id` | `Int64` | Unique identifier for each document | `id` |
 | `text` | `String` | The main textual content of the document | `text` |
 
-### Metadata Structure
+## Metadata Structure
 
 The `metadata` field contains a nested structure with web archive information:
 
@@ -323,22 +337,25 @@ The `metadata` field contains a nested structure with web archive information:
 | **Additional Info** | | | |
 | WARC Info | `String` | Additional WARC information | `metadata.warc_info` |
 
-### Text Structure Information
+## Text Structure Information
 
 | Field | Type | Description | Path |
 |-------|------|-------------|------|
 | Line Start Indices | `List[Int32]` | Starting indices of each line | `line_start_n_end_idx.line_start_idx` |
 | Line End Indices | `List[Int32]` | Ending indices of each line | `line_start_n_end_idx.line_end_idx` |
 
-## Quality Signals
+</details>
+
+<details>
+<summary><strong>Quality Signals</strong></summary>
 
 The dataset includes two comprehensive quality assessment frameworks:
 
-### Red Pajama v2 Quality Metrics
+## Red Pajama v2 Quality Metrics
 
 Text quality indicators derived from the Red Pajama v2 filtering pipeline:
 
-#### Content Structure Metrics
+### Content Structure Metrics
 | Metric | Description | Path |
 |--------|-------------|------|
 | Original Length | Original document length | `quality_signals.red_pajama_v2.ccnet_original_length` |
@@ -347,7 +364,7 @@ Text quality indicators derived from the Red Pajama v2 filtering pipeline:
 | Word Count | Total word count | `quality_signals.red_pajama_v2.rps_doc_word_count` |
 | Mean Word Length | Average word length | `quality_signals.red_pajama_v2.rps_doc_mean_word_length` |
 
-#### Language Quality Metrics
+### Language Quality Metrics
 | Metric | Description | Path |
 |--------|-------------|------|
 | Stop Word Fraction | Proportion of stop words | `quality_signals.red_pajama_v2.rps_doc_stop_word_fraction` |
@@ -356,7 +373,7 @@ Text quality indicators derived from the Red Pajama v2 filtering pipeline:
 | Non-Alphabetic Words | Fraction of non-alphabetic words | `quality_signals.red_pajama_v2.rps_doc_frac_no_alph_words` |
 | Unigram Entropy | Entropy measure of word distribution | `quality_signals.red_pajama_v2.rps_doc_unigram_entropy` |
 
-#### Content Pattern Analysis
+### Content Pattern Analysis
 | Metric | Description | Path |
 |--------|-------------|------|
 | Curly Bracket Density | Curly bracket density (code indicator) | `quality_signals.red_pajama_v2.rps_doc_curly_bracket` |
@@ -366,7 +383,7 @@ Text quality indicators derived from the Red Pajama v2 filtering pipeline:
 | Offensive Content | Potentially offensive content detection | `quality_signals.red_pajama_v2.rps_doc_ldnoobw_words` |
 | UT1 Blacklist | UT1 blacklist filtering score | `quality_signals.red_pajama_v2.rps_doc_ut1_blacklist` |
 
-#### Duplication Detection
+### Duplication Detection
 | Metric | Description | Path |
 |--------|-------------|------|
 | 5-gram Duplication | Character-level duplication for 5-grams | `quality_signals.red_pajama_v2.rps_doc_frac_chars_dupe_5grams` |
@@ -379,7 +396,7 @@ Text quality indicators derived from the Red Pajama v2 filtering pipeline:
 | Top 3-gram Coverage | Most frequent 3-gram coverage | `quality_signals.red_pajama_v2.rps_doc_frac_chars_top_3gram` |
 | Top 4-gram Coverage | Most frequent 4-gram coverage | `quality_signals.red_pajama_v2.rps_doc_frac_chars_top_4gram` |
 
-#### Domain Importance Scores
+### Domain Importance Scores
 | Metric | Description | Path |
 |--------|-------------|------|
 | Books Importance | Similarity to book content | `quality_signals.red_pajama_v2.rps_doc_books_importance` |
@@ -389,7 +406,7 @@ Text quality indicators derived from the Red Pajama v2 filtering pipeline:
 | Wikipedia Importance | Similarity to Wikipedia | `quality_signals.red_pajama_v2.rps_doc_wikipedia_importance` |
 | Wikipedia Importance (Length Corrected) | Length-corrected Wikipedia similarity | `quality_signals.red_pajama_v2.rps_doc_wikipedia_importance_length_correction` |
 
-### FastText Classification Scores
+## FastText Classification Scores
 
 Domain and content type classification probabilities:
 
@@ -402,7 +419,10 @@ Domain and content type classification probabilities:
 | Web Math | Web-based mathematics content | `quality_signals.fasttext.eai_open_web_math` |
 | Code Content | Code content detection | `quality_signals.fasttext.eai_web_code` |
 
-## Data Provenance
+</details>
+
+<details>
+<summary><strong>Data Provenance</strong></summary>
 
 All documents originate from web crawls with full WARC metadata preservation, enabling:
 - Source verification and attribution
@@ -410,7 +430,10 @@ All documents originate from web crawls with full WARC metadata preservation, en
 - Content deduplication across crawls
 - Quality assessment pipeline reconstruction
 
-## Usage Examples
+</details>
+
+<details>
+<summary><strong>Usage Examples</strong></summary>
 
 **Filter by quality score:**
 ```python
@@ -461,6 +484,19 @@ df.filter(
 )
 ```
 
+</details>
+
+<details>
+<summary><strong>Usage Notes</strong></summary>
+
+- **Quality Filtering**: Use Red Pajama v2 metrics for content quality thresholds
+- **Domain Selection**: Leverage FastText scores for domain-specific filtering  
+- **Educational Applications**: Utilize EAI taxonomy for curriculum-aligned content selection
+- **Deduplication**: Apply n-gram duplication metrics for corpus cleaning
+- **Attribution**: WARC metadata enables proper source citation
+
+</details>
+
 ## 🎓 Citation
 
 If you use this dataset, please cite our EssentialWeb paper: