πŸ“Š
Llava Onevision 1.5 Mid Training 85m dataset by Mvp Lab
⭐ 37.1
πŸ“Š
Dataset

Llava Onevision 1.5 Mid Training 85m

by Mvp Lab mvp-lab/llava-onevision-1.5-mid-training-85m
Free2AITools Nexus Index
37.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 53
P: Popularity 68
R: Recency 65
Q: Quality 50
Tech Context
Vital Performance —
Source β†’
Data Integrity 37.1 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID mvp-lab/llava-onevision-1.5-mid-training-85m
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_mvp_lab_llava_onevision_1_5_mid_training_85m,
  author = {Mvp Lab},
  title = {Llava Onevision 1.5 Mid Training 85m Dataset},
  year = {2025},
  howpublished = {\url{https://huggingface.co/datasets/mvp-lab/LLaVA-OneVision-1.5-Mid-Training-85M}},
  note = {Accessed via Free2AITools.}
}
APA Style
Mvp Lab. (2025). Llava Onevision 1.5 Mid Training 85m [Dataset]. Free2AITools. https://huggingface.co/datasets/mvp-lab/LLaVA-OneVision-1.5-Mid-Training-85M

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 53
Popularity (P) 68
Recency (R) 65
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Llava Onevision 1.5 Mid Training 85m: Authority (A:53), Popularity (P:68), Recency (R:65), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Downloads
895,268

🎯 Task Categories

multimodal

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Dataset Specification

πŸš€ LLaVA-One-Vision-1.5-Mid-Training-85M Dataset is being uploaded πŸš€

Upload Status

  • All Completed: ImageNet-21k、LAIONCN、DataComp-1B、Zero250M、COYO700M、SA-1B、MINT、Obelics

πŸ“œ Cite

If you find LLaVA-One-Vision-1.5-Mid-Training-85M useful in your research, please consider to cite the following related papers:

text 
@misc{an2025llavaonevision15fullyopenframework,
      title={LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training}, 
      author={Xiang An and Yin Xie and Kaicheng Yang and Wenkang Zhang and Xiuwei Zhao and Zheng Cheng and Yirui Wang and Songcen Xu and Changrui Chen and Chunsheng Wu and Huajie Tan and Chunyuan Li and Jing Yang and Jie Yu and Xiyao Wang and Bin Qin and Yumeng Wang and Zizhen Yan and Ziyong Feng and Ziwei Liu and Bo Li and Jiankang Deng},
      year={2025},
      eprint={2509.23661},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2509.23661}, 
}

Social Proof

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Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--mvp-lab--llava-onevision-1.5-mid-training-85m
slug
mvp-lab--llava-onevision-1.5-mid-training-85m
source
huggingface
author
Mvp Lab
license
Apache-2.0
tags
license:apache-2.0, size_categories:10m<n<100m, format:parquet, modality:image, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2509.23661, region:us

βš™οΈ Technical Specs

params billions
0.085

πŸ“Š Engagement & Metrics

downloads
895,268
stars
0
forks
0

Data indexed from public sources. Updated daily.