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Duplicate from GotThatData/STARGATE
Browse filesCo-authored-by: Bryan Daugherty <GotThatData@users.noreply.huggingface.co>
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- README.md +126 -0
- dataset.py +92 -0
- main/data/CIA-RDP79-00999A000200010001-4.pdf +3 -0
- main/data/CIA-RDP79-00999A000200010002-3.pdf +3 -0
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README.md
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---
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license: mit
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task_categories:
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- text-classification
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- summarization
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- feature-extraction
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- text-generation
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language:
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- en
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tags:
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- multi-class-classification
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- extractive-qa
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- open-domain-qa
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pretty_name: stargate
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size_categories:
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- 10K<n<100K
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---
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# 🧠 STARGATE: CIA Remote Viewing Archive (Raw PDFs + Metadata)
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**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.
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These include, but are not limited to:
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- **Grill Flame** (US Army + DIA)
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- **Center Lane** (NSA/Army Intelligence)
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- **Sun Streak** (precursor to Stargate)
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- **STARGATE Program** (DIA, 1991–1995)
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This release features the **original scanned documents** in PDF format, along with per-file metadata for page count, processing timestamps, and preparation for OCR and further analysis.
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---
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## 📦 Dataset Summary
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- 🔍 **12,000+** CIA documents (PDFs), scanned and declassified
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- 🗂️ Each entry includes document-specific metadata
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- 🕵️♂️ Topics include: remote viewing trials, operational psychic use, experimental methods, scientific disputes, and internal memos
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- 🧾 Format: binary PDFs with structured metadata in JSON
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---
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## 🧱 Metadata Schema
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Each dataset row contains:
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| Field | Type | Description |
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|------------------|----------|-----------------------------------------------------------------------------|
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| `filename` | `string` | Official CIA filename (e.g., `CIA-RDP96-00788R000700020002-2.pdf`) |
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| `document_id` | `string` | Optional normalized ID (same as filename without extension) |
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| `page_count` | `int` | Number of pages in the document |
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| `image_count` | `int` | Number of page images generated (usually equal to page count) |
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| `processed_at` | `string` | Timestamp (ISO 8601) when file was processed into this dataset |
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| 53 |
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| `ocr_status` | `string` | `"pending"`, `"success"`, `"error"` — tracks OCR processing state |
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| 54 |
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| `text_extracted` | `bool` | Indicates whether OCR text was successfully generated |
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| `source` | `string` | Source label, e.g., `"CIA Stargate Archive"` |
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| 56 |
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| `tags` | `list` | Optional list of tags or topic keywords |
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| `pdf` | `binary` | The original scanned PDF file (can be downloaded) |
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---
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## 🔍 Example Record
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| 62 |
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```json
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{
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"filename": "CIA-RDP79-00999A000200010002-3.pdf",
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| 66 |
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"document_id": "CIA-RDP79-00999A000200010002-3",
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| 67 |
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"page_count": 10,
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| 68 |
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"image_count": 10,
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| 69 |
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"processed_at": "2025-03-22T22:04:19.172208",
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| 70 |
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"ocr_status": "pending",
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| 71 |
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"text_extracted": false,
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| 72 |
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"source": "CIA Stargate Archive",
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| 73 |
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"tags": [],
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"pdf": "<binary>"
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}
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🔬 Research Context
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This archive reflects the U.S. government’s decades-long scientific and operational interest in:
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Remote viewing (describing a hidden location or object without physical access)
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Precognition (perceiving future events)
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Psychokinesis (mind influencing matter)
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ESP training and evaluation protocols
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Intelligence-gathering attempts using anomalous cognition
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Internal reports on experimental validation, critique, and ethics
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The dataset includes actual remote viewing transcripts, target descriptions, scientific methodology reports, and responses to academic criticism — particularly rebuttals to well-known skeptics such as Dr. Ray Hyman.
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📚 Use Cases
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| 95 |
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This dataset supports a wide range of applications:
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Domain Applications
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🧠 NLP & AI OCR benchmarking, QA over scanned archives, embedding generation
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🧾 Digital Humanities Historical research, truth-seeking, Cold War context analysis
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🛰️ Defense Studies Study of cognitive science integration into military strategy
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🕵️ OSINT & Intelligence Pattern detection in government research methods
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🤯 Fringe Exploration Cross-comparison with spiritual, metaphysical, or psi phenomena
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License
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All documents are sourced from the CIA Electronic Reading Room or other FOIA-approved releases. This dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
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You may use, share, and modify this dataset freely — even for commercial purposes — with attribution.
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🔗 https://creativecommons.org/licenses/by/4.0/
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📌 Citation
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If you use this dataset, please cite:
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@dataset{gotthatdata_stargate_2024,
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title = {STARGATE: CIA Remote Viewing Archive},
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| 116 |
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author = {GotThatData},
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| 117 |
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year = {2024},
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| 118 |
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url = {https://huggingface.co/datasets/GotThatData/STARGATE}
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| 119 |
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}
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| 121 |
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Also cite the CIA Electronic Reading Room and FOIA sources where appropriate.
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🙏 Acknowledgements
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This archive exists thanks to the persistent efforts of researchers, archivists, and activists who demanded transparency and pressed for FOIA releases. Special thanks to pioneers in psi research and the analysts who challenged convention in search of greater understanding.
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🔗 Curated by GotThatData ·
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dataset.py
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import os
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import json
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import datasets
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logger = datasets.logging.get_logger(__name__)
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| 6 |
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_CITATION = """\
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| 8 |
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@dataset{gotthatdata_stargate_2024,
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| 9 |
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title = {STARGATE: CIA Remote Viewing Archive},
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| 10 |
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author = {GotThatData},
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| 11 |
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year = {2024},
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| 12 |
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url = {https://huggingface.co/datasets/GotThatData/STARGATE}
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| 13 |
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}
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"""
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| 15 |
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_DESCRIPTION = """\
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STARGATE is a dataset of 12,000+ declassified CIA PDFs related to remote viewing (RV), extrasensory perception (ESP), and anomalous cognition.
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This loader includes structured metadata and binary access to the original scanned PDFs.
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"""
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_HOMEPAGE = "https://huggingface.co/datasets/GotThatData/STARGATE"
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| 22 |
+
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| 23 |
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_LICENSE = "CC-BY-4.0"
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| 24 |
+
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| 25 |
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class StargatePDFConfig(datasets.BuilderConfig):
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def __init__(self, **kwargs):
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| 27 |
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super(StargatePDFConfig, self).__init__(**kwargs)
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| 28 |
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| 29 |
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class StargatePDFDataset(datasets.GeneratorBasedBuilder):
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| 30 |
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VERSION = datasets.Version("1.0.0")
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BUILDER_CONFIGS = [
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| 32 |
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StargatePDFConfig(name="default", version=VERSION, description="STARGATE raw PDFs with metadata")
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]
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| 34 |
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def _info(self):
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| 36 |
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return datasets.DatasetInfo(
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| 37 |
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description=_DESCRIPTION,
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| 38 |
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features=datasets.Features({
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| 39 |
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"filename": datasets.Value("string"),
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| 40 |
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"document_id": datasets.Value("string"),
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| 41 |
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"page_count": datasets.Value("int32"),
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"image_count": datasets.Value("int32"),
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"processed_at": datasets.Value("string"),
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| 44 |
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"ocr_status": datasets.Value("string"),
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| 45 |
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"text_extracted": datasets.Value("bool"),
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"source": datasets.Value("string"),
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| 47 |
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"tags": datasets.Sequence(datasets.Value("string")),
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"pdf": datasets.Value("binary"),
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}),
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supervised_keys=None,
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| 51 |
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homepage=_HOMEPAGE,
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| 52 |
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license=_LICENSE,
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| 53 |
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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# Path to local or downloaded files
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archive_path = dl_manager.download_and_extract("./") # Change if remote
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metadata_path = os.path.join(archive_path, "metadata.json")
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data_dir = os.path.join(archive_path, "data")
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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| 65 |
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gen_kwargs={"metadata_path": metadata_path, "data_dir": data_dir}
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| 66 |
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)
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]
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def _generate_examples(self, metadata_path, data_dir):
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logger.info(f"⏳ Loading metadata from {metadata_path}")
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with open(metadata_path, "r", encoding="utf-8") as f:
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records = json.load(f)
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for idx, record in enumerate(records):
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pdf_path = os.path.join(data_dir, record["filename"])
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if not os.path.isfile(pdf_path):
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logger.warning(f"🚫 Missing PDF: {pdf_path}")
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continue
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with open(pdf_path, "rb") as pdf_file:
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yield idx, {
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"filename": record.get("filename"),
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"document_id": record.get("document_id", record["filename"].replace(".pdf", "")),
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"page_count": record.get("page_count", 0),
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| 85 |
+
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