racineai/VDR_Military
VDR - Organized, Grouped, Cleaned Military Vision DSE Intended for image/text to vector (DSE) Dataset Composition Made with https://github.com/RacineAIOS/VDR_pdf-to-parquet This dataset was created by scraping PDF documents from online sources and generating relevant synthetic queries. We used Google's Gemini 2.0 Flash Lite model in our custom pipeline to produce the queries, allowing us to create a diverse set of questions based on the document… See the full description on the dataset page: https://huggingface.co/datasets/racineai/VDR_Military.
| Author / organization | racineai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 420 (as reported by Hugging Face) |
| Likes | 11 |
| Created | 26 March 2025 |
| Last updated at source | 20 November 2025 |
Popularity, last 3 days
420 now (-20 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: VDR - Organized, Grouped, Cleaned Military Vision DSE Intended for image/text to vector (DSE) Dataset Composition Made with https://github.com/RacineAIOS/VDR_pdf-to-parquet This dataset was created by scraping PDF documents from online sour → VDR - Organized, Grouped, Cleaned Military Vision DSE Intended for image/text to vector (DSE) Dataset Composition Made with https://github.com/RacineAIOS/VDR_pdf-to-parquet This dataset was created by scraping PDF documents from online sour
Changes detected by Silytics between refreshes of the source.
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