image imagewidth (px) 420 618 | raw_queries listlengths 1 1 | broad_topical_query stringclasses 3
values | broad_topical_explanation stringclasses 3
values | specific_detail_query stringclasses 3
values | specific_detail_explanation stringclasses 3
values | visual_element_query stringclasses 3
values | visual_element_explanation stringclasses 3
values | parsed_into_json bool 1
class | markdown stringclasses 3
values | inference_info stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|
[
"{\n \"broad_topical_query\": \"UFO FlyBys in Middle Tennessee\",\n \"broad_topical_explanation\": \"This query targets the main subject of the document, which is the reported UFO sightings in Middle Tennessee.\",\n \"specific_detail_query\": \"David Copperfield special\",\n \"specific_detail_explanation\": \"T... | UFO FlyBys in Middle Tennessee | This query targets the main subject of the document, which is the reported UFO sightings in Middle Tennessee. | David Copperfield special | This query focuses on a specific detail mentioned in the document, which is the David Copperfield special that the author and her husband were watching. | Image of a man and woman | This query references the visual element in the document, which is the image of a man and woman sitting on the porch. | true | OUT OF THIS WORLD
UFO FlyBys in Middle Tennessee
BY JOYSA M. WINTER
LaVere Pisut is well aware that some people out there think she is crazy. If they're right—if she really has hooped the loop, so to speak—she at least knows people think she's nuts. Her story is so bizarre, in fact, that sometimes Pisut herself can ... | [{"model_id": "rednote-hilab/dots.mocr", "model_name": "dots.mocr", "column_name": "markdown", "timestamp": "2026-03-19T17:38:38.552718", "prompt_mode": "ocr", "temperature": 0.1, "top_p": 0.9, "max_tokens": 24000}] | |
[
"{\n \"broad_topical_query\": \"Snake with legs and feet reported in Africa\",\n \"broad_topical_explanation\": \"This query focuses on the main subject of the document, which is the report of a snake with legs and feet found in Africa.\",\n \"specific_detail_query\": \"Snake with legs and feet reported in Afric... | Snake with legs and feet reported in Africa | This query focuses on the main subject of the document, which is the report of a snake with legs and feet found in Africa. | Snake with legs and feet reported in Africa, 1899 | This query is more specific, focusing on the date and location mentioned in the document. | Document page with text | This query refers to the visual element of the document page, which includes the text content and layout. | true | A Waco Snake.
Waco Telephone: J. W. Boynton
brought to the Telephone yesterday af-
ternoon what was a genuine curiosity
and the existence of which has been
denied by some people. It was noth-
ing more nor less than a snake with
legs. The snake which was a small
one, not more than sixteen inches long.
was what is know... | [{"model_id": "rednote-hilab/dots.mocr", "model_name": "dots.mocr", "column_name": "markdown", "timestamp": "2026-03-19T17:38:38.552718", "prompt_mode": "ocr", "temperature": 0.1, "top_p": 0.9, "max_tokens": 24000}] | |
[
"{\n \"broad_topical_query\": \"Document about Mount Clemens, Michigan\",\n \"broad_topical_explanation\": \"This query is effective because it covers the main subject of the document, which is the investigation of a UFO sighting in Mount Clemens, Michigan.\",\n \"specific_detail_query\": \"Document mentioning D... | Document about Mount Clemens, Michigan | This query is effective because it covers the main subject of the document, which is the investigation of a UFO sighting in Mount Clemens, Michigan. | Document mentioning Dr. Hynek and the OVNI | This query is effective because it focuses on a specific detail from the document, which is the involvement of Dr. Hynek in the investigation of the OVNI. | Document with a picture of Paris 67a | This query is effective because it references a visual element in the document, which is the picture of Paris 67a, and can help in retrieving the document. | true | Mount
Clemens,
Michigan,
muy cerca
delago St.
Clary y la
Base Aé-
reada Self-
ridge.
Donald y Grant
Jaroslav
Monsalvas
un objeto
suspendi-
do sobre el
lago duran-
te
10 minutos. En ese momento tomaran 4 fotos con una Polaroid Swingier, antes de que el objeto pariera a una "velocidad mucho mayor" que de la cualquiera... | [{"model_id": "rednote-hilab/dots.mocr", "model_name": "dots.mocr", "column_name": "markdown", "timestamp": "2026-03-19T17:38:38.552718", "prompt_mode": "ocr", "temperature": 0.1, "top_p": 0.9, "max_tokens": 24000}] |
Document OCR using dots.mocr
This dataset contains OCR results from images in davanstrien/ufo-ColPali using dots.mocr, a 3B multilingual model with SOTA document parsing and SVG generation.
Processing Details
- Source Dataset: davanstrien/ufo-ColPali
- Model: rednote-hilab/dots.mocr
- Number of Samples: 3
- Processing Time: 2.0 min
- Processing Date: 2026-03-19 17:38 UTC
Configuration
- Image Column:
image - Output Column:
markdown - Dataset Split:
train - Batch Size: 16
- Prompt Mode: ocr
- Max Model Length: 24,000 tokens
- Max Output Tokens: 24,000
- GPU Memory Utilization: 90.0%
Model Information
dots.mocr is a 3B multilingual document parsing model that excels at:
- 100+ Languages — Multilingual document support
- Table extraction — Structured data recognition
- Formulas — Mathematical notation preservation
- Layout-aware — Reading order and structure preservation
- Web screen parsing — Webpage layout analysis
- Scene text spotting — Text detection in natural scenes
- SVG code generation — Charts, UI layouts, scientific figures to SVG
Dataset Structure
The dataset contains all original columns plus:
markdown: The extracted text in markdown formatinference_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 dots.mocr script:
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-mocr.py \
davanstrien/ufo-ColPali \
<output-dataset> \
--image-column image \
--batch-size 16 \
--prompt-mode ocr \
--max-model-len 24000 \
--max-tokens 24000 \
--gpu-memory-utilization 0.9
Generated with UV Scripts
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