# GratefulData - Comprehensive Grateful Dead Dataset Collection

This repository contains a comprehensive collection of Grateful Dead related datasets, curated and organized for research, analysis, and AI training purposes.

## Repository Structure

### 📁 raw_data/csv_files/
Original CSV datasets containing:
- **data_grateful_dead_metadata_simple.csv** - Basic show metadata and information
- **data_jerry_garcia_interviews_with_transcripts.csv** - Jerry Garcia interviews with full transcripts
- **data_jerrybase_songs_complete.csv** - Complete song database from JerryBase
- **data_jgb_complete_metadata.csv** - Jerry Garcia Band complete metadata
- **data_dead_net_ALL_photos_20250718_191600.csv** - Complete photo collection metadata
- **data_dead_net_articles_20250718_154041.csv** - Dead.net articles
- **data_dead_net_band_members_20250718_154041.csv** - Band member information
- **data_dead_net_enhanced_articles_20250718_154629.csv** - Enhanced article content
- **data_dead_net_photos_metadata_20250718_175213.csv** - Photo metadata
- **deadcast_complete_metadata_*.csv** - Deadcast podcast series data

### 📁 processed_data/jsonl_files/
Processed datasets ready for ML training:
- **gratefulgpt_comprehensive_dataset.jsonl** - Main training dataset
- **gratefulgpt_train.jsonl** - Training split
- **gratefulgpt_test.jsonl** - Test split
- **axolotl_gratefulgpt_full.jsonl** - Axolotl-formatted training data
- **gratefulgpt-archive_*.jsonl** - Archive.org sourced data

### 📁 cleaned_data/
Cleaned and preprocessed versions of the raw datasets with:
- Data validation and quality checks
- Consistent formatting
- Duplicate removal
- Missing value handling

### 📁 metadata/
Dataset analysis and statistics files

## Dataset Statistics
- **Total Files**: 34
- **Successfully Processed**: 34
- **Coverage**: Multiple decades of Grateful Dead history
- **Sources**: Dead.net, JerryBase, Archive.org, Deadcast, and more

## Usage

### Loading with Datasets Library
```python
from datasets import load_dataset

# Load the entire dataset
dataset = load_dataset("jaysooner/gratefuldata")

# Load specific files
from huggingface_hub import hf_hub_download

# Download a specific CSV file
file_path = hf_hub_download(
    repo_id="jaysooner/gratefuldata",
    filename="raw_data/csv_files/data_grateful_dead_metadata_simple.csv",
    repo_type="dataset"
)

import pandas as pd
df = pd.read_csv(file_path)
```

### Direct File Access
All files are organized in folders and can be accessed directly via the Hugging Face Hub interface or programmatically.

## Data Sources
- **Dead.net**: Official Grateful Dead website content
- **JerryBase.com**: Comprehensive Jerry Garcia database
- **Archive.org**: Digital archive materials
- **Deadcast**: Podcast transcripts and metadata
- **Community Collections**: Fan-contributed content

## License
This dataset is released under CC-BY-4.0 license. Please attribute the original sources when using this data.

## Applications
- Music information retrieval research
- Natural language processing on music-related text
- Historical analysis of the Grateful Dead
- AI chatbot training (GratefulGPT)
- Recommendation systems
- Audio analysis correlation

## Contributing
This dataset is part of the ongoing GratefulGPT project. For updates or contributions, please refer to the source repositories.

## Citation
If you use this dataset in your research, please cite:
```
@dataset{gratefuldata2025,
  title={GratefulData: A Comprehensive Grateful Dead Dataset Collection},
  author={GratefulGPT Project},
  year={2025},
  url={https://huggingface.co/datasets/jaysooner/gratefuldata}
}
```

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*"What a long, strange trip it's been..." - Grateful Dead*