datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
RenderedTextThis dataset has been created by Stability AI and LAION.
This dataset contains 12 million 1024x1024 images of handwritten text written on a digital 3D sheet of paper generated using Blender geometry nodes and rendered using Blender Cycles. The text has varying font size, color, and rotation, and the paper was rendered under random lighting conditions.
Note that, the first 10 million examples are in the root folder of this dataset repository and the remaining 2 million are in ./remaining (due… See the full description on the dataset page: https://huggingface.co/datasets/wendlerc/RenderedText.olmocr-pre-rendered
olmOCR-bench Pre-Rendered
Pre-rendered PNG images of the olmOCR-bench benchmark dataset, ready for zero-setup evaluation of any OCR / vision model.
What This Is
The official olmOCR benchmark requires downloading 1,403 PDFs locally and rendering each page to a PNG image before sending it to a model. Every benchmark runner in the official repo does this same rendering step internally — see olmocr/data/renderpdf.py::render_pdf_to_base64png().
This dataset eliminates that… See the full description on the dataset page: https://huggingface.co/datasets/shhdwi/olmocr-pre-rendered.rendered-sst2
Rendered SST-2
The Rendered SST-2 Dataset from Open AI.
Rendered SST2 is an image classification dataset used to evaluate the models capability on optical character recognition. This dataset was generated by rendering sentences in the Standford Sentiment Treebank v2 dataset.
This dataset contains two classes (positive and negative) and is divided in three splits: a train split containing 6920 images (3610 positive and 3310 negative), a validation split containing 872 images (444… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/rendered-sst2.rendered-bookcorpus-8x8rendered-bookcorpus-bigramsrendered-sts17
Dataset Summary
This dataset is rendered to images from STS-17. We envision the need to assess vision encoders' abilities to understand texts. A natural way will be assessing them with the STS protocols, with texts rendered into images.
Examples of Use
Load Arabic to Arabic dataset:
from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts17", name="ar-ar", split="test")
Load French to English dataset:
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Pixel-Linguist/rendered-sts17.transcoda-rendered-row-343k-full-pipeline-v1
Transcoda Rendered Row 343k Full Pipeline v1
Full-page rendered Transcoda row dataset generated from synthetic and random-notation transcriptions.
Target contents: 343113
Accepted contents: 343027
Failed/dropped contents: 86
Renderings per accepted content: 4
Accepted images: 1372108
Source counts: {'random': 99990, 'synth': 243037}
Staging repo: cminst/transcoda-rendered-row-343k-full-pipeline-v1-shards
Each row contains one transcription and four independently rendered page… See the full description on the dataset page: https://huggingface.co/datasets/cminst/transcoda-rendered-row-343k-full-pipeline-v1.rendered-stsb
Dataset Summary
This dataset is rendered to images from STS-benchmark. We envision the need to assess vision encoders' abilities to understand texts. A natural way will be assessing them with the STS protocols, with texts rendered into images.
Examples of Use
Load English train Dataset:
from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-stsb", name="en", split="train")
Load Chinese dev Dataset:
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/Pixel-Linguist/rendered-stsb.rendered-wiki_en-bigramsmm_rendered_textgsm8k-rendered-vlm
Rendered GSM8K-VL Dataset
Rendered GSM8K-VL is a multimodal math-reasoning dataset for vision-language model evaluation.Each example links:
a GSM8K word problem (question)
the final numeric answer (answer)
cleaned chain-of-thought style reasoning (reasoning)
a rendered image path (image)
This dataset is intended for controlled experiments comparing text-only and image-based reasoning behavior.
Canonical Dataset Artifact
The official dataset release uses:… See the full description on the dataset page: https://huggingface.co/datasets/RodelaG/gsm8k-rendered-vlm.nayana-renderedNayanaBench-rendered-splitrendered-sts13
Dataset Summary
This dataset is rendered to images from STS-13. We envision the need to assess vision encoders' abilities to understand texts. A natural way will be assessing them with the STS protocols, with texts rendered into images.
Examples of Use
Load test split:
from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts13", split="test")
Languages
English-only; for multilingual and cross-lingual datasets, see… See the full description on the dataset page: https://huggingface.co/datasets/mteb/rendered-sts13.rendered-sts15
Dataset Summary
This dataset is rendered to images from STS-15. We envision the need to assess vision encoders' abilities to understand texts. A natural way will be assessing them with the STS protocols, with texts rendered into images.
Examples of Use
Load test split:
from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts15", split="test")
Languages
English-only; for multilingual and cross-lingual datasets, see… See the full description on the dataset page: https://huggingface.co/datasets/mteb/rendered-sts15.wds_renderedsst2rendered_wikipedia_noGR1-Manipulation-IsaacSim-Rendered
GR1 Manipulation — Isaac Sim Rendered Dataset
Dataset Description
Multi-modal rendered dataset of NVIDIA GR1 humanoid robot performing tabletop manipulation tasks
in Isaac Sim. Each episode is rendered as 3 synchronized MP4 videos:
RGB — ray-traced color video
Depth — normalized depth map (grayscale, 0–10m range)
Segmentation — semantic segmentation with per-object class coloring
This dataset is designed as input for NVIDIA Cosmos Transfer 2.5 to generate photorealistic… See the full description on the dataset page: https://huggingface.co/datasets/khang123452/GR1-Manipulation-IsaacSim-Rendered.Rendered_512_32_Testgsm8k-rendered-vlm-v2
GSM8K Rendered-VL v2
1319 rendered GSM8K test problems for the VLM modality study (Phase 1).
Contributors
Rodela Ghosh — study design, pilot (v1), dataset packaging and Hugging Face release (scripts/prepare_hf_v2_release.py)
Aviral Gupta — benchmark infrastructure (src/), v2 rendering protocol (src/rendering.py), Phase 1 model runs
Code: https://github.com/Ro-netizen004/vlm-modality-research
Not interchangeable with v1: RodelaG/gsm8k-rendered-vlm
v1
v2… See the full description on the dataset page: https://huggingface.co/datasets/vlm-modality-research/gsm8k-rendered-vlm-v2.rendered-wikipedia-zhrendered-kh-table-suryaocr2rendered-sts16
Dataset Summary
This dataset is rendered to images from STS-16. We envision the need to assess vision encoders' abilities to understand texts. A natural way will be assessing them with the STS protocols, with texts rendered into images.
Examples of Use
Load test split:
from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts16", split="test")
Languages
English-only; for multilingual and cross-lingual datasets, see… See the full description on the dataset page: https://huggingface.co/datasets/mteb/rendered-sts16.rendered_kh_tables_testlong_surya
Surya OCR 2 Table Recognition on sopheakvoatei/rendered_khmer_tables
Surya OCR 2 table recognition using offline vLLM inference.
The table pipeline automatically detects tall table images and applies
vertical overlapping tiling before reconstructing the final HTML table.
Processing Details
Source Dataset: sopheakvoatei/rendered_khmer_tables
Model: datalab-to/surya-ocr-2
Task: table
Table mode: full
Input column: image
Output column: markdown
Structured column:… See the full description on the dataset page: https://huggingface.co/datasets/sopheakvoatei/rendered_kh_tables_testlong_surya.rendered-sts14
Dataset Summary
This dataset is rendered to images from STS-14. We envision the need to assess vision encoders' abilities to understand texts. A natural way will be assessing them with the STS protocols, with texts rendered into images.
Examples of Use
Load test split:
from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts14", split="test")
Languages
English-only; for multilingual and cross-lingual datasets, see… See the full description on the dataset page: https://huggingface.co/datasets/mteb/rendered-sts14.wds_renderedsst2text2svg-stack-renderedrendered-sts12
Dataset Summary
This dataset is rendered to images from STS-12. We envision the need to assess vision encoders' abilities to understand texts. A natural way will be assessing them with the STS protocols, with texts rendered into images.
Examples of Use
Load test split:
from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts12", split="test")
Languages
English-only; for multilingual and cross-lingual datasets, see… See the full description on the dataset page: https://huggingface.co/datasets/mteb/rendered-sts12.wikipedia_rendered_scorendered-sts12
Dataset Summary
This dataset is rendered to images from STS-12. We envision the need to assess vision encoders' abilities to understand texts. A natural way will be assessing them with the STS protocols, with texts rendered into images.
Examples of Use
Load test split:
from datasets import load_dataset
dataset = load_dataset("Pixel-Linguist/rendered-sts12", split="test")
Languages
English-only; for multilingual and cross-lingual datasets, see… See the full description on the dataset page: https://huggingface.co/datasets/Pixel-Linguist/rendered-sts12.