📊
Imagenet Think dataset by krishnateja95
⭐ 34.5
📊
Dataset

Imagenet Think

by krishnateja95 hf-dataset--krishnateja95--imagenet-think
Nexus Index
34.5 Top 100%
S / A / P / R / Q Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
Vital Performance
0 DL / 30D
0.0%
Source →
Data Integrity 34.5 FNI Score
- Size
- Rows
Parquet Format
- Tokens
Dataset Information Summary
Entity Passport
Registry ID hf-dataset--krishnateja95--imagenet-think
License CC-BY-4.0
Provider huggingface
📜

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__krishnateja95__imagenet_think,
  author = {krishnateja95},
  title = {Imagenet Think Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/datasets/krishnateja95/imagenet-think}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
krishnateja95. (2026). Imagenet Think [Dataset]. Free2AITools. https://huggingface.co/datasets/krishnateja95/imagenet-think

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

⚖ī¸ Nexus Index V2.0

Methodology Index Protocol
34.5
ESTIMATED IMPACT TIER
Semantic (S) 0
Authority (A) 0
Popularity (P) 0
Recency (R) 0
Quality (Q) 0

đŸ’Ŧ Index Insight

FNI V2.0 for Imagenet Think: Semantic (S:0), Authority (A:0), Popularity (P:0), Recency (R:0), Quality (Q:0).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
âŦ‡ī¸
Downloads
62,688

👁ī¸ Data Preview

📊

Row-level preview not available for this dataset.

Schema structure is shown in the Field Logic panel when available.

🔗 Explore Full Dataset ↗

đŸ§Ŧ Field Logic

đŸ§Ŧ

Schema not yet indexed for this dataset.

Dataset Specification

ImageNet-Think 250K

ImageNet-Think 250K is a large-scale synthetic multimodal reasoning dataset containing of 250,000 images sampled from ImageNet-21K dataset. For each image, we provide a prompt and two different step-by-step reasoning tokens and outputs (answers), enabling evaluation and training for Vision Language Models on reasoning tasks. This dataset is primarily designed for research on multimodal summarization.

Installation & Setup

Before downloading, ensure that your Hugging Face Hub environment is configured properly:

bash 
pip install --force-reinstall -v "hf_xet==1.1.2"

export HF_HUB_DISABLE_XET=1
export HF_HUB_ENABLE_HF_TRANSFER=0

export HF_XET_MAX_CONCURRENT_DOWNLOADS=2
export HF_XET_CHUNK_CACHE_SIZE_BYTES=0
ulimit -Sn 4096

Load

python 
from datasets import load_dataset
ds = load_dataset("krishnateja95/ImageNet-Think", split="train", streaming=True)

print(ds)

IterableDataset({
    features: ['image', 'question', 'think_1', 'answer_1', 'think_2', 'answer_2'],
    num_shards: 1
})

Citation

If you find our dataset useful, please consider citing the below paper:

bash 
@article{chitty2025imagenet,
  title={ImageNet-Think-250K: A Large-Scale Synthetic Dataset for Multimodal Reasoning for Vision Language Models},
  author={Chitty-Venkata, Krishna Teja and Emani, Murali},
  journal={arXiv preprint arXiv:2510.01582},
  year={2025}
}

Social Proof

HuggingFace Hub
62.7KDownloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Dataset Transparency Report

Verified data manifest for traceability and transparency.

100% Data Disclosure Active

🆔 Identity & Source

id
hf-dataset--krishnateja95--imagenet-think
slug
krishnateja95--imagenet-think
source
huggingface
author
krishnateja95
license
CC-BY-4.0
tags
task_categories:summarization, annotations_creators:synthetic, language_creators:machine-generated, multilinguality:monolingual, license:cc-by-4.0, size_categories:100k<n<1m, modality:image, arxiv:2510.01582, region:us, images, parquet, multimodal

⚙ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag

📊 Engagement & Metrics

downloads
62,688
stars
2
forks
0

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)