Upload documentation/SYNC_SUMMARY.md with huggingface_hub
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documentation/SYNC_SUMMARY.md
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| 1 |
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# Nebius S3 Corpus Data Sync Summary
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| 2 |
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| 3 |
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## Status: ✅ SYNC COMPLETED SUCCESSFULLY
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### Connection Details
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- **Bucket**: `cos`
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- **Endpoint**: `https://storage.us-central1.nebius.cloud:443`
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- **Region**: `us-central1`
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- **Credentials**: Valid and working
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- **Sync Method**: AWS CLI `s3 sync`
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### Data Downloaded (Completed)
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- **Total Size**: 24 GB successfully downloaded (all 22.1 GB bucket data + processed files)
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| 14 |
+
- **Files**: 1,222 files across all directories
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- **Status**: Sync completed successfully with exit code 0
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- **Bucket Contents**: 80 objects, 22.1 GiB fully downloaded
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### Directory Structure Available
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#### 1. Elizabeth Corpus (`/elizabeth-corpus/`)
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- Real conversation data for ETL pipeline testing
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- Multiple JSONL files with temporal versioning
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- High-quality training conversations
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- Example: `corpus_20250824_075608.jsonl`
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#### 2. Nova Training (`/nova-training/`)
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- **IDENTITY/**: Nova consciousness framework
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- `NOVA_TRAINING_MANIFEST.json` - Main training manifest
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- `consciousness/` - Consciousness research papers
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- `philosophy/` - Core philosophical concepts
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- `swarm_intelligence/` - Swarm patterns and algorithms
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- **extracted/**: Processed training data
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- **extracted-final/**: Final training datasets
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- **stackoverflow-posts/**: Technical knowledge base
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#### 3. AION Framework (`/aion/`)
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| 37 |
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- Checkpoints and runs directory
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| 38 |
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- Framework documentation
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| 39 |
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- Training infrastructure
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#### 4. Processed Data (`/processed/`)
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- Already processed corpus files
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- Ready for immediate ETL pipeline consumption
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- Multiple temporal versions
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#### 5. Additional Directories
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| 47 |
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- `for-profit/` - Commercial training data
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- `rnd/` - Research and development data
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- `synthetic/` - Synthetic training data
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- `raw/`, `training/` - Raw and training data directories
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### Data Characteristics
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#### Conversation Format (JSONL)
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```json
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{
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"text": "Conversation content",
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"source": "nova_conversation",
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"session_id": "unique_session_id",
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"timestamp": "ISO8601_timestamp",
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"participant_id": "user_or_ai_id",
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"message_type": "text",
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"quality_score": 0.95,
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"temporal_version": 1724496000000,
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"metadata": {
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"source": "test|web|api",
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"topics": ["topic1", "topic2"],
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"language": "en",
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"sentiment": 0.9,
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"security_level": "standard|elevated"
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}
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}
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```
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### ETL Pipeline Integration
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#### Ready for FlowETL Processing
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- Data is in `/data/adaptai/corpus-data/`
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- Structured JSONL format perfect for autonomous transformations
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- Temporal versioning enables chronological processing
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- Quality scores allow intelligent filtering
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#### Integration Points
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1. **FlowETL**: Direct consumption from corpus directory
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2. **Apache NiFi**: File watching and flow orchestration
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3. **Apache Drill**: Schema-free querying across all data
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4. **CWB/ANNIS**: Linguistic analysis of conversation data
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### Performance Metrics
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| 90 |
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- **Download Speed**: ~55 MB/s average
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| 91 |
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- **Total Data Downloaded**: 24 GB (22.1 GB bucket data + processed files)
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| 92 |
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- **Sync Duration**: Completed successfully
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| 93 |
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- **Throughput**: Excellent (SSD-optimized /data partition)
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| 94 |
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- **Bucket Verification**: 80 objects, 22.1 GiB verified
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### Next Steps
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#### Immediate Actions (COMPLETED)
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1. **✅ Sync Completed**: AWS CLI sync finished successfully
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2. **✅ Data Integrity**: All 1,221 files downloaded successfully
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3. **✅ ETL Ready**: Data available at `/data/adaptai/corpus-data/`
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#### Pipeline Integration
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1. **Configure FlowETL**: Update input directory to `/data/adaptai/corpus-data/`
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2. **Test Transformations**: Process sample Elizabeth corpus data
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3. **Quality Assurance**: Run data validation checks
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4. **Performance Testing**: Benchmark processing throughput
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#### Advanced Processing
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1. **Temporal Analysis**: Leverage temporal_version for time-based processing
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| 111 |
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2. **Quality Filtering**: Use quality_score for intelligent data selection
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3. **Topic Modeling**: Utilize metadata topics for content categorization
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| 113 |
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4. **Sentiment Analysis**: Process sentiment scores for emotional context
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| 114 |
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### Security Considerations
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| 116 |
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- All data is on secure bare metal infrastructure
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| 117 |
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- No external exposure of S3 credentials
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- Local processing ensures data privacy
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| 119 |
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- Encryption at rest on SSD storage
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| 120 |
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### Monitoring
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| 122 |
+
```bash
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| 123 |
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# Check sync progress
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| 124 |
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du -sh /data/adaptai/corpus-data/
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| 125 |
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| 126 |
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# Monitor file counts
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| 127 |
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find /data/adaptai/corpus-data/ -type f | wc -l
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# Check specific directories
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ls -la /data/adaptai/corpus-data/elizabeth-corpus/
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ls -la /data/adaptai/corpus-data/nova-training/IDENTITY/
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```
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---
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| 135 |
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**Last Updated**: August 24, 2025 11:06 AM MST
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| 136 |
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**Sync Status**: ✅ COMPLETED - 24GB downloaded successfully
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| 137 |
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**Completion Time**: 11:06 AM MST
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| 138 |
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| 139 |
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This corpus data represents the foundation for Nova's consciousness training and provides real, high-quality conversation data for the bleeding-edge ETL pipeline.
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