| # 🧠 STARGATE: CIA Remote Viewing Archive (Raw PDFs + Metadata) | |
| [](https://huggingface.co/datasets/GotThatData/STARGATE) | |
| [](https://opensource.org/licenses/MIT) | |
| [](https://huggingface.co/datasets/GotThatData/STARGATE) | |
| ## Overview | |
| **STARGATE is the most comprehensive open-access archive of declassified CIA documents related to psychic research, remote viewing (RV), and anomalous cognition.** | |
| This dataset consolidates **over 12,000 scanned PDF files**, drawn from decades of classified government programs designed to investigate and operationalize extrasensory perception (ESP) in intelligence-gathering contexts. | |
| ### Programs Included | |
| - **Grill Flame** (1973–1978) - DIA's early remote viewing experiments | |
| - **Center Lane** (1978–1985) - Army Intelligence psychic espionage program | |
| - **Sun Streak** (1985–1991) - Continuation under new codename | |
| - **Star Gate** (1991–1995) - Final incarnation before congressional termination | |
| - **Related Programs:** Gondola Wish, Scanate, Inscom Center Lane | |
| --- | |
| ## 🎯 Use Cases | |
| ### 1. **Natural Language Processing (NLP)** | |
| - **Information extraction** - Extract dates, locations, agents, targets from session transcripts | |
| - **Entity recognition** - Identify patterns in how remote viewers describe unknown locations | |
| - **Summarization** - Generate abstracts of lengthy technical reports | |
| - **Text classification** - Categorize documents by program, methodology, success rate | |
| ### 2. **Historical & Intelligence Research** | |
| - **Cold War intelligence tactics** - How did the U.S. approach psychic espionage? | |
| - **Scientific methodology** - What protocols were used? How did they evolve? | |
| - **Congressional oversight** - Why was the program terminated in 1995? | |
| - **Cross-agency collaboration** - DIA, CIA, Army Intelligence, SRI International | |
| ### 3. **Psychological Analysis** | |
| - **Cognitive bias** in perception and reporting | |
| - **Training methodologies** for perceptual enhancement | |
| - **Statistical evaluation** of claimed psychic phenomena | |
| - **Interviewer-subject dynamics** in session transcripts | |
| ### 4. **Machine Learning Training** | |
| - **OCR benchmarking** - Scanned 1970s-1990s government documents (challenging quality) | |
| - **Document classification** - Multi-class categorization (session transcript, technical report, administrative memo, etc.) | |
| - **Anomaly detection** - Identify unusual patterns or outliers in session data | |
| - **Time-series analysis** - Success rates, funding levels, program activity over decades | |
| --- | |
| ## 📊 Dataset Structure | |
| ``` | |
| STARGATE/ | |
| ├── pdfs/ # 12,000+ raw scanned PDF files | |
| │ ├── STAR-GATE-01.pdf | |
| │ ├── STAR-GATE-02.pdf | |
| │ └── ... | |
| ├── metadata.csv # Document metadata (title, date, program, classification) | |
| ├── processed/ # (Future) OCR-extracted text versions | |
| └── README.md | |
| ``` | |
| ### Metadata Fields | |
| | Field | Description | Example | | |
| |-------|-------------|---------| | |
| | `document_id` | Unique identifier | `STAR-GATE-00042` | | |
| | `title` | Document title | "Remote Viewing Session: Soviet Submarine Base" | | |
| | `date` | Document date | `1983-04-15` | | |
| | `program` | Program codename | `Center Lane`, `Star Gate` | | |
| | `classification` | Original classification | `SECRET`, `CONFIDENTIAL`, `UNCLASSIFIED` | | |
| | `declassification_date` | When it was released | `2000-08-09` | | |
| | `page_count` | Number of pages | `23` | | |
| | `file_path` | Relative path to PDF | `pdfs/STAR-GATE-00042.pdf` | | |
| --- | |
| ## 🚀 Quick Start | |
| ### Load the Dataset | |
| ```python | |
| from datasets import load_dataset | |
| dataset = load_dataset("GotThatData/STARGATE") | |
| ``` | |
| ### Example: Extract Metadata for a Specific Program | |
| ```python | |
| import pandas as pd | |
| # Load metadata | |
| df = pd.read_csv("hf://datasets/GotThatData/STARGATE/metadata.csv") | |
| # Filter for Star Gate program | |
| star_gate_docs = df[df['program'] == 'Star Gate'] | |
| print(f"Found {len(star_gate_docs)} Star Gate documents") | |
| # Sort by date | |
| star_gate_docs = star_gate_docs.sort_values('date') | |
| print(star_gate_docs[['title', 'date', 'page_count']].head(10)) | |
| ``` | |
| ### Example: OCR Text Extraction (with PyMuPDF) | |
| ```python | |
| import fitz # PyMuPDF | |
| def extract_text_from_pdf(pdf_path): | |
| doc = fitz.open(pdf_path) | |
| text = "" | |
| for page in doc: | |
| text += page.get_text() | |
| return text | |
| # Extract text from a document | |
| pdf_path = "hf://datasets/GotThatData/STARGATE/pdfs/STAR-GATE-00042.pdf" | |
| text = extract_text_from_pdf(pdf_path) | |
| print(text[:500]) # First 500 characters | |
| ``` | |
| ### Example: Train a Document Classifier | |
| ```python | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification, Trainer | |
| # Load pre-trained model | |
| model_name = "distilbert-base-uncased" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=4) | |
| # Prepare data (classification: transcript, report, memo, other) | |
| # ... (data preparation code) | |
| # Fine-tune | |
| trainer = Trainer(model=model, train_dataset=train_data, eval_dataset=eval_data) | |
| trainer.train() | |
| ``` | |
| --- | |
| ## 📚 Background & Context | |
| ### What Was STARGATE? | |
| In 1972, the CIA and DIA began funding research into **remote viewing** - the alleged ability to perceive distant or unseen targets through extrasensory means. Programs evolved over two decades under various codenames: | |
| 1. **Early Phase (1973-1978):** Grill Flame - Initial DIA experiments at SRI International | |
| 2. **Operational Phase (1978-1991):** Center Lane & Sun Streak - Active intelligence gathering | |
| 3. **Final Phase (1991-1995):** Star Gate - Consolidated under DIA oversight | |
| ### Why Was It Terminated? | |
| In 1995, the CIA commissioned an independent review by the American Institutes for Research (AIR). The final report concluded: | |
| > "The information provided by remote viewing is vague and ambiguous, making it difficult, if not impossible, for the technique to yield information of sufficient quality and accuracy for actionable intelligence." | |
| Congress defunded the program shortly after. All documents were declassified and released via the CIA's CREST database between 2000-2017. | |
| ### Notable Participants | |
| - **Ingo Swann** - Developed Controlled Remote Viewing (CRV) methodology | |
| - **Pat Price** - Remote viewer credited with "successful" Cold War missions | |
| - **Dr. Hal Puthoff** - SRI physicist who led early experiments | |
| - **Dr. Edwin May** - Director of cognitive sciences division at SRI | |
| --- | |
| ## 🔬 Research Applications | |
| ### Academic Papers Using This Dataset | |
| *(We'd love to list your work here! Open a discussion or PR)* | |
| ### Potential Research Questions | |
| 1. **Linguistics:** How did remote viewing terminology evolve across programs? | |
| 2. **Psychology:** What cognitive biases are evident in session transcripts? | |
| 3. **History:** How did Cold War tensions influence psychic espionage funding? | |
| 4. **Statistics:** Can we replicate the AIR study's statistical analysis with modern methods? | |
| 5. **AI Ethics:** What does government-funded psychic research teach us about evaluating anomalous claims in AI? | |
| --- | |
| ## 📝 Citation | |
| If you use this dataset in your research, please cite: | |
| ```bibtex | |
| @dataset{daugherty2025stargate, | |
| author = {Bryan Daugherty}, | |
| title = {STARGATE: CIA Remote Viewing Archive}, | |
| year = {2025}, | |
| publisher = {Hugging Face}, | |
| url = {https://huggingface.co/datasets/GotThatData/STARGATE} | |
| } | |
| ``` | |
| --- | |
| ## 🔗 Related Resources | |
| - **CIA CREST Database:** [https://www.cia.gov/readingroom/](https://www.cia.gov/readingroom/) | |
| - **AIR Final Report (1995):** [Research Evaluation](https://www.cia.gov/readingroom/docs/CIA-RDP96-00789R003800200001-0.pdf) | |
| - **Companion Dataset:** [STARGATE-Processed](https://huggingface.co/datasets/GotThatData/STARGATE-Processed) - OCR-extracted text versions | |
| --- | |
| ## 📜 License | |
| MIT License - freely available for research and commercial use. | |
| **Note:** These are declassified U.S. government documents and are in the public domain. The dataset compilation and metadata are released under MIT. | |
| --- | |
| ## 🙏 Acknowledgments | |
| - **CIA CREST Team** - For declassifying and digitizing these historical documents | |
| - **Internet Archive** - For mirroring and preserving government data | |
| - **Hugging Face Community** - For providing infrastructure for large-scale dataset hosting | |
| --- | |
| ## 🐛 Known Issues & Future Work | |
| - **OCR Quality:** Scanned 1970s-1990s documents have variable quality. Some pages are illegible. | |
| - **Missing Documents:** Not all STARGATE-related documents may be included (ongoing FOIA releases). | |
| - **Metadata Gaps:** Some documents lack complete metadata (date, program name, etc.). | |
| **Roadmap:** | |
| - [ ] Complete OCR extraction for all PDFs → `STARGATE-Processed` dataset | |
| - [ ] Add entity annotations (people, locations, programs) | |
| - [ ] Create topic models for common themes | |
| - [ ] Build search/query interface (Space app) | |
| --- | |
| ## 💬 Feedback & Contributions | |
| Found an error? Have a feature request? Want to contribute OCR'd text or annotations? | |
| - **Discussions:** [Open a discussion](https://huggingface.co/datasets/GotThatData/STARGATE/discussions) | |
| - **Contact:** YourFriends@smartledger.solutions | |
| --- | |
| *"The truth is rarely pure and never simple."* — Oscar Wilde | |