image imagewidth (px) 596 596 | raw_queries listlengths 1 1 | broad_topical_query stringclasses 10
values | broad_topical_explanation stringclasses 10
values | specific_detail_query stringclasses 10
values | specific_detail_explanation stringclasses 10
values | visual_element_query stringclasses 9
values | visual_element_explanation stringclasses 10
values | parsed_into_json bool 1
class | markdown stringclasses 10
values | inference_info stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|
[
"{\n \"broad_topical_query\": \"1954 Blue Book Project\",\n \"broad_topical_explanation\": \"This query targets the specific year and project mentioned in the document, which is likely to be a unique identifier for this document.\",\n \"specific_detail_query\": \"L'astronomie et la lune\",\n \"specific_detail_e... | 1954 Blue Book Project | This query targets the specific year and project mentioned in the document, which is likely to be a unique identifier for this document. | L'astronomie et la lune | This query focuses on the specific topic of astronomy and the moon, which is a central theme in the document. | Page 0 | This query references the page number, which is a unique identifier for this document within a larger corpus. | true | 1954
text[[400, 125, 690, 141]]
Projet "Blue Book"
text[[422, 154, 555, 170]]
TOP SECRET
text[[235, 190, 715, 230]]
Pourquoi les astronomes ne veulent pas parler de la lune
text[[88, 249, 936, 333]]
Dès villes qui croissent, des signaux lumineux, des explosions et des ombres géométriques étranges-oeoi et d'autre... | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... | |
[
"{\n \"broad_topical_query\": \"Document about the study of Alhazen's work on optics\",\n \"broad_topical_explanation\": \"This query focuses on the main subject of the document, which is the study of Alhazen's work on optics.\",\n \"specific_detail_query\": \"Alhazen's work on optics\",\n \"specific_detail_exp... | Document about the study of Alhazen's work on optics | This query focuses on the main subject of the document, which is the study of Alhazen's work on optics. | Alhazen's work on optics | This query targets a specific detail mentioned in the document, which is Alhazen's work on optics. | Document with a reference to Alhazen's work on optics | This query looks for a document that contains a reference to Alhazen's work on optics, which is a visual element in the document. | true | 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t 0t... | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... | |
[
"{\n \"broad_topical_query\": \"Document discussing radioactivity and celestial phenomena\",\n \"broad_topical_explanation\": \"This query covers the main subject of the document, which is the study of radioactivity and its effects on celestial phenomena.\",\n \"specific_detail_query\": \"Observations of radioac... | Document discussing radioactivity and celestial phenomena | This query covers the main subject of the document, which is the study of radioactivity and its effects on celestial phenomena. | Observations of radioactivity during solar eclipses | This query focuses on a specific fact mentioned in the document, which is the observation of radioactivity during solar eclipses. | Document page with text in French | This query refers to the visual element of the document page, which contains text in French, indicating that the document is likely in French and contains text related to the topics mentioned. | true | 1'interieur.Vous remerquerez plusieurs larges toches qui chon- gent de dimension et de forme d'une nuit a l'autre.Il y en e une pres du centre de Ptolemee,des toches dans Platon,aristarchus, Schickerd,Hyginus et d'autres chongent regulierement.A l'oeil nu vous pouvez voir une teche sombre a l'est d'Aristorohus.Photogra... | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... | |
[
"{\n \"broad_topical_query\": \"Science fiction journal articles on lunar eclipses and astronomy\",\n \"broad_topical_explanation\": \"This query covers the main subject of the document, which is the observation and description of lunar eclipses and related astronomical phenomena.\",\n \"specific_detail_query\":... | Science fiction journal articles on lunar eclipses and astronomy | This query covers the main subject of the document, which is the observation and description of lunar eclipses and related astronomical phenomena. | 200 years ago, Sir John Herschel reported on lunar eclipses | This query focuses on a specific historical event mentioned in the document, which would be a key detail for someone searching for this particular report. | A page from a science fiction journal | This query refers to the visual element of the document, which is a page from a science fiction journal. It would be effective for someone looking for documents with similar visual characteristics. | true | 12
text[[75, 117, 870, 245]]
Des choses qui pourraient être prises pour des Gloubrations
d'un journal de science-fiction se présent là.Prenez l'Année de
l'Enore.Au cours de la mime nuit des points,comme des gouttes
d'encre approuvrent dans Plinius et Copernious.Quelques semaines
plus tard un immense objet aussi noir q... | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... | |
[
"{\n \"broad_topical_query\": \"Document about the history and observations of the Moon\",\n \"broad_topical_explanation\": \"This query covers the main subject of the document, which is the history and observations of the Moon.\",\n \"specific_detail_query\": \"Observations of the Moon by Aristarchus\",\n \"sp... | Document about the history and observations of the Moon | This query covers the main subject of the document, which is the history and observations of the Moon. | Observations of the Moon by Aristarchus | This query focuses on a specific fact mentioned in the document, which is the observations of the Moon by Aristarchus. | Image of the Moon | This query refers to the image of the Moon mentioned in the document, which is a visual element that could be used to retrieve the document. | true | 13
text[[133, 133, 936, 203]]
dérées comme fumisterie.Personne ne lui demande ce qu'il buvait
ces jours là,ou bien s'il prierit ou fumait?En fait,quelques es-
prits ouverts célèrent eussi loin que de regarder pour eux-mêmes
et ils virent les lumières eux-mêmes.Il y a beaucoup à dire eu
sujet du Bon Vieux Temps.
text... | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... | |
[
"{\n \"broad_topical_query\": \"Observations of lunar eclipses and their effects on the Moon\",\n \"broad_topical_explanation\": \"This query covers the main subject of the document, which is the observation of lunar eclipses and their impact on the Moon.\",\n \"specific_detail_query\": \"The Moon is described a... | Observations of lunar eclipses and their effects on the Moon | This query covers the main subject of the document, which is the observation of lunar eclipses and their impact on the Moon. | The Moon is described as being in a state of suspension due to the attraction of the Earth | This query focuses on a specific fact mentioned in the document, which is the suspension of the Moon due to the Earth's attraction. | Image of the Moon and Earth | This query refers to the visual element in the document, which is an image of the Moon and Earth, indicating the topic of the document. | true | 14
text[[78, 130, 895, 303]]
souvent observés au cours d'éolipes, de même que des esodorilles d'objets oliviers et sombres qui semblent monoevrer dans le ciel lunaire. Au cours de l'éolipse du 16 Novembre 1910, une vive lumière luit sur le lune et des observatoires de deux point très distants l'un de l'autre virent un... | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... | |
[
"{\n \"broad_topical_query\": \"Document about the Moon's gravitational effect on Earth\",\n \"broad_topical_explanation\": \"This query focuses on the main topic of the document, which is the gravitational influence of the Moon on Earth.\",\n \"specific_detail_query\": \"The Moon's gravitational effect on Earth... | Document about the Moon's gravitational effect on Earth | This query focuses on the main topic of the document, which is the gravitational influence of the Moon on Earth. | The Moon's gravitational effect on Earth | This query targets a specific detail mentioned in the document, which is the Moon's gravitational effect on Earth. | Document with a table or chart | This query is based on the presence of a table or chart in the document, which is not visible in the image provided. If the document contains such a visual element, this query would be effective in retrieving it. | true | 15
text[[137, 125, 900, 158]]
deveient être reacoulées. Vous ne pouvez faire confiance à la Luhe.
text[[137, 170, 950, 330]]
L'attraction des marées freine le rotation de la Terre de façon infime, mais ce n'est rien comportivement à ce que le gravité plus grande de la Terre a fait à la Lune. Nous avons attiré vers ... | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... | |
[
"{\n \"broad_topical_query\": \"Document about the influence of the moon on human behavior\",\n \"broad_topical_explanation\": \"This query covers the main subject of the document, which is the influence of the moon on human behavior.\",\n \"specific_detail_query\": \"Document mentioning Duke University and its ... | Document about the influence of the moon on human behavior | This query covers the main subject of the document, which is the influence of the moon on human behavior. | Document mentioning Duke University and its research on the moon | This query focuses on a specific detail from the document, which is the mention of Duke University and its research on the moon. | Document with a table or chart about the moon's influence | This query refers to a visual element in the document, which is a table or chart about the moon's influence. | true | 16
text[[75, 130, 888, 220]]
L'homme a toujours rendu la Lune coupable de ses propres bêtises. Le mot lunetique vient de Lun. Planter et récolter devait se fê- re suivant les phases de la Lune. Il en était de même pour les assassinats et les 0000000000000000000000000000000000000000000000000000000000000000000000000000... | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... | |
[
"{\n \"broad_topical_query\": \"Document about the Moon and its effects on human behavior\",\n \"broad_topical_explanation\": \"This query covers the main subject of the document, which is the Moon's influence on human behavior and the strange occurrences that might be attributed to it.\",\n \"specific_detail_qu... | Document about the Moon and its effects on human behavior | This query covers the main subject of the document, which is the Moon's influence on human behavior and the strange occurrences that might be attributed to it. | Richard Burton as a translator for 'Mille et Une Nuits' | This query focuses on a specific detail mentioned in the document, which is Richard Burton's role as a translator for 'Mille et Une Nuits'. | Document page with text in French | This query refers to the visual element of the document page, which is a document page with text in French. This could be effective in retrieving the document if the search engine has image recognition capabilities. | true | 17
text[[128, 130, 944, 188]]
Le prochaine fois que votre femme trouvera dans votre carnet
le numéro de téléphone d'une blonde,expliquez-lui que vous n'êtes
pas responsable étant donné qu'il y a pleine Lune. Si celle morale
faites-le nous savoir.
text[[128, 199, 955, 315]]
Si tout ceci esote votre curiosité et si vo... | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... | |
[
"{\n \"broad_topical_query\": \"Blank document page\",\n \"broad_topical_explanation\": \"This query is effective because it covers the main subject of the document, which is the blank page itself.\",\n \"specific_detail_query\": \"Blank document page with a small tear on the left edge\",\n \"specific_detail_ex... | Blank document page | This query is effective because it covers the main subject of the document, which is the blank page itself. | Blank document page with a small tear on the left edge | This query is effective because it focuses on a specific detail of the document, which can help in identifying documents with similar characteristics. | Blank document page | This query is effective because it refers to the visual element of the document, which can be useful in retrieving documents with similar visual characteristics. | true | 1 | [{"column_name": "markdown", "model_id": "deepseek-ai/DeepSeek-OCR", "processing_date": "2025-10-22T16:47:48.069543", "resolution_mode": "tiny", "base_size": 512, "image_size": 512, "crop_mode": false, "prompt": "<image>\n<|grounding|>Convert the document to markdown.", "batch_size": 8, "max_tokens": 8192, "gpu_memory_... |
Document OCR using DeepSeek-OCR
This dataset contains markdown-formatted OCR results from images in davanstrien/ufo-ColPali using DeepSeek-OCR.
Processing Details
- Source Dataset: davanstrien/ufo-ColPali
- Model: deepseek-ai/DeepSeek-OCR
- Number of Samples: 10
- Processing Time: 1.6 min
- Processing Date: 2025-10-22 16:47 UTC
Configuration
- Image Column:
image - Output Column:
markdown - Dataset Split:
train - Batch Size: 8
- Resolution Mode: tiny
- Base Size: 512
- Image Size: 512
- Crop Mode: False
- Max Model Length: 8,192 tokens
- Max Output Tokens: 8,192
- GPU Memory Utilization: 80.0%
Model Information
DeepSeek-OCR is a state-of-the-art document OCR model that excels at:
- 📐 LaTeX equations - Mathematical formulas preserved in LaTeX format
- 📊 Tables - Extracted and formatted as HTML/markdown
- 📝 Document structure - Headers, lists, and formatting maintained
- 🖼️ Image grounding - Spatial layout and bounding box information
- 🔍 Complex layouts - Multi-column and hierarchical structures
- 🌍 Multilingual - Supports multiple languages
Resolution Modes
- Tiny (512×512): Fast processing, 64 vision tokens
- Small (640×640): Balanced speed/quality, 100 vision tokens
- Base (1024×1024): High quality, 256 vision tokens
- Large (1280×1280): Maximum quality, 400 vision tokens
- Gundam (dynamic): Adaptive multi-tile processing for large documents
Dataset Structure
The dataset contains all original columns plus:
markdown: The extracted text in markdown format with preserved structureinference_info: JSON list tracking all OCR models applied to this dataset
Usage
from datasets import load_dataset
import json
# Load the dataset
dataset = load_dataset("{{output_dataset_id}}", split="train")
# Access the markdown text
for example in dataset:
print(example["markdown"])
break
# View all OCR models applied to this dataset
inference_info = json.loads(dataset[0]["inference_info"])
for info in inference_info:
print(f"Column: {{info['column_name']}} - Model: {{info['model_id']}}")
Reproduction
This dataset was generated using the uv-scripts/ocr DeepSeek OCR vLLM script:
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/deepseek-ocr-vllm.py \\
davanstrien/ufo-ColPali \\
<output-dataset> \\
--resolution-mode tiny \\
--image-column image
Performance
- Processing Speed: ~0.1 images/second
- Processing Method: Batch processing with vLLM (2-3x speedup over sequential)
Generated with 🤖 UV Scripts
- Downloads last month
- 30