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README.md

@@ -1,51 +1,74 @@
 ---
-dataset_info:
-  features:
-  - name: page_content
-    dtype: string
-  - name: metadata
-    struct:
-    - name: author
-      dtype: string
-    - name: creationDate
-      dtype: string
-    - name: creationdate
-      dtype: string
-    - name: creator
-      dtype: string
-    - name: file_path
-      dtype: string
-    - name: format
-      dtype: string
-    - name: keywords
-      dtype: string
-    - name: modDate
-      dtype: string
-    - name: moddate
-      dtype: string
-    - name: page
-      dtype: int64
-    - name: producer
-      dtype: string
-    - name: source
-      dtype: string
-    - name: subject
-      dtype: string
-    - name: title
-      dtype: string
-    - name: total_pages
-      dtype: int64
-    - name: trapped
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 158682
-    num_examples: 38
-  download_size: 87008
-  dataset_size: 158682
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: apache-2.0
+task_categories:
+- text-retrieval
+- question-answering
+tags:
+- rag
+- gdelt
+- knowledge-graphs
+- retrieval
+pretty_name: GDELT RAG Source Documents
+size_categories:
+- n<1K
 ---
+
+# GDELT RAG Source Documents
+
+## Dataset Description
+
+This dataset contains source documents extracted from the research paper "Talking to GDELT Through Knowledge Graphs"
+(arXiv:2503.07584v3). The documents are used as the knowledge base for a Retrieval-Augmented Generation (RAG) system
+focused on GDELT (Global Database of Events, Language, and Tone) analysis.
+
+### Dataset Summary
+
+- **Total Documents**: 38 pages
+- **Source**: Research paper on GDELT Knowledge Graphs
+- **Format**: PDF pages with extracted text and metadata
+- **Use Case**: RAG knowledge base for GDELT-related queries
+
+### Data Fields
+
+- `page_content` (string): Extracted text content from the PDF page
+- `metadata` (dict): Document metadata including:
+  - `title`: Paper title
+  - `author`: Paper authors
+  - `page`: Page number
+  - `total_pages`: Total pages in source document
+  - `file_path`: Original file path
+  - `format`: Document format (PDF)
+  - `producer`, `creator`: PDF metadata
+  - Other PDF metadata fields
+
+### Data Splits
+
+This dataset contains a single split with all 38 documents.
+
+### Source Data
+
+The source material is the research paper:
+- **Title**: "Talking to GDELT Through Knowledge Graphs"
+- **Authors**: Audun Myers, Max Vargas, Sinan G. Aksoy, Cliff Joslyn, Benjamin Wilson, Lee Burke, Tom Grimes
+- **arXiv ID**: 2503.07584v3
+
+### Licensing
+
+This dataset is released under the Apache 2.0 license.
+
+### Citation
+
+If you use this dataset, please cite the original paper:
+
+```
+@article{myers2025talking,
+  title={Talking to GDELT Through Knowledge Graphs},
+  author={Myers, Audun and Vargas, Max and Aksoy, Sinan G and Joslyn, Cliff and Wilson, Benjamin and Burke, Lee and Grimes, Tom},
+  journal={arXiv preprint arXiv:2503.07584},
+  year={2025}
+}
+```
+
+### Dataset Creation
+
+This dataset was created as part of the AI Engineering Bootcamp Cohort 8 certification challenge project.