racineai/VDR_Qualitative
VDR_Qualitative Dataset Summary VDR_Qualitative is a high-quality multimodal dataset created through the merge of multiple domain-specific datasets with enhanced data processing techniques. This dataset represents our most refined approach to multimodal data generation, incorporating filtering algorithms and improved AI-assisted content generation to deliver superior quality for RAG, DSE, question answering, document search, and vision-language model training… See the full description on the dataset page: https://huggingface.co/datasets/racineai/VDR_Qualitative.
| Author / organization | racineai |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 465 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 1 September 2025 |
| Last updated at source | 20 November 2025 |
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465 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: VDR_Qualitative Dataset Summary VDR_Qualitative is a high-quality multimodal dataset created through the merge of multiple domain-specific datasets with enhanced data processing techniques. This dataset represents our most refined approach → VDR_Qualitative Dataset Summary VDR_Qualitative is a high-quality multimodal dataset created through the merge of multiple domain-specific datasets with enhanced data processing techniques. This dataset represents our most refined approach
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