Datasets:

davanstrien
/

dots-ocr-1.5-smoke-test-v3

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 barely believe it. It happened one cozy spring night, about a year ago last April. Pisut and her husband were sitting in the living room watching a David Copperfield special in their rural home about 10 miles outside Baxter, a small town near Cookeville. Pisut was excited that Copperfield, the magician, was performing some new tricks. Because the Copperfield program is one of her favorites, she was glued to the screen. Nevertheless, for no apparent reason, Pisut says, she abruptly got up from her seat and walked outside to her front porch. Soon, she says, her husband followed her outside as well. For him to follow me out—we've been married almost 30 years—that was kind of unusual too, she remembers. While walking out the door, Pisut recalls, she craned her neck toward the sky, trying to see from under the eave of the porch. She felt a "strange vibration" through her shoulders, and she heard a low rumbling noise. Her husband asked her what she was looking at, and for a moment, there was nothing to see. Until... "Until all of a sudden, there were those lights up above the house, then some sound was... a loud spot just off her porch—rare win-dow of sky among acres of camped trees." "I was very dark that night, no moon, and I couldn't see stars through it. That's how I know it was solid." Pisut doesn't know how long she and her husband sat on the porch watching the object—which was a big actor house—here in the air. But the genies stood there, and about 20 minutes. And then, thinking back on it, all she can do is despair over the things she wishes she had done. "Why didn't we go out the porch light to see it? Better? Or grab a flashlight and shine it up, because that's how I love it. Or we could have run off the porch to get a better look. I don't know why we didn't do that thing!" Once the object flew away across the trees, Pisut says, there was a great flash of white light and then total silence. It was a quite strange thing the she says. "We had 150 chickens and roosters, 11 geese, five dogs, and there was no sound." don't even know where the dogs were—and they always come up when we're outside. No frogs, no pop from the yard gate next to my house. We're next to a pond but no noise from the crickets. Absurd, dead silence." When it was all over, Pisut had regained some of her senses, she ran inside and called side of the wooden door. "LaVere called me at about 10 till 10," says Charles Fidds, sitting on a step in his house's front porch, staring at the blank spot in the sky where stars are now twinking, the same spot where all this bizarre phenomenon started. "I asked her where she was, and my and I got in the car and drove west toward Gravelville. We could see an strange glow at the location, so brilliant that we thought it had crumbled. Halfway there, we smelled this thing, chemical smell we had never smelled before." They say they lost sight of the object. Once they had arrived in Gravelville, Fidds and he found some Jackson County police sister's house. An hour later, two Putnam They saw the light Jeff Hart (left) and Marc "Pisut" Pisut say they witnessed a strange light above the treetops near Baxter in 1992. "I swear, we weren't drunk and we weren't stoned," Pisut says.	[{"model_id": "davanstrien/dots.ocr-1.5", "model_name": "DoTS.ocr-1.5", "column_name": "markdown", "timestamp": "2026-03-14T16:38:06.184360", "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 known as a "thunder snake," the body being covered by al- ternate sploches of black and red, in- termingled in a manner which made a very pretty effect, almost causing you to forget that you were looking at a serpent. The snake had two legs, each about two inches long, and the boys who killed him claim that he pulled himself along very rapidly by their aid. The legs were set opposite one another under his body about your inches from his head. Each leg had four toes or feelers. Above: Fort Worth Morning Register August 12th 1899 SNAKE WITH LEGS AND FEET IS REPORTED TO BE FOUND IN AFRICA The Sacramento Bee July 20th 1950 "A snake with four legs,feet and joints is reported to have been killed by the district commissioner in Kalabo, a distant area in the North Rhodesian bush. Many strange tales of unusual snakes have come from this district in the past. Whistling snakes have been re- ported and once the natives insisted they had found a snake which could sing."	[{"model_id": "davanstrien/dots.ocr-1.5", "model_name": "DoTS.ocr-1.5", "column_name": "markdown", "timestamp": "2026-03-14T16:38:06.184360", "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 aparente convencional. "Unos cinco minutos después que desapareció el objeto" apareció un helicóptero sobrevolando el área. Los muchachos mostraron las fotos a su mía y esta, convencida de que eran auténticas, lo leyó a los diarios locales. Los periodistas desivestiran el base Raymond Nyls, de la Base Sifridge, quien supeestimamente declaró que a esa hora un helicóptero había sobrevolado el área. "No estaba interesado en este reporte hasta que en las fotografías dijo Nyls los reporteros: Son los mejores fotos que jemás he visto de un OVN. Hasta que se apreció que parece ser una antena en la parte de "estrás". Las fotografías parecían huberan ante los ojos de Nyls. No presentaron manchitas caminos de posiciones que indicaran que se trataba de un modelo. Además, el uso de una camara de Polaroid imprimió un trucio y los testigos parecían honestos y no tener Septiembre, 1995 / 60 Ampliación de la maqueta utilizada por los hermanos Jaroslav Interés de publicidad personal. El mismo Dr. Hynek investigó el caso y declaró: "No fengo datos que me hagan dudar de la autenticidad de las fotos. hasta este momento, con una honestidad, no puedo decir que se trate de una fraude, aunque tal posibilidad no debe eliminate por completo". La investigación efectuada por Hynek lo leyó a encontrar algunos datos curiosos que, sin embargo no despertaron sus sospechas. En otro lugar, el OVN no fue captado por el radar de Selfridge, aunque el helicóptero si. "El explicación fue que el OVN volaba a poca altura (y el helicóptero 7). Posteriormente halló una pista, que deberá haber tenido un sentido crítico y de haber hecho una buena investigación, lo huberan llevado a encontrar la verdad. Al ser estudiadas las fotos se comprobó que el helicóptero era la tercera, la cuarta y la quinta eran el OVN, lo mismo que las dos primeras. Al ser cuestionados, los muchachos explicaron que se seguramente vieron el helicóptero mientras observaban el OVN, que se encontraban tan emocionados que luego no se acordaron bien. ¡Hynek tragó un burdo engaño! Nueve años después tendriémos la misma respuesta a este caso. En 1976 Hynek recibió la siguiente carta: Paris 67 a 67	[{"model_id": "davanstrien/dots.ocr-1.5", "model_name": "DoTS.ocr-1.5", "column_name": "markdown", "timestamp": "2026-03-14T16:38:06.184360", "prompt_mode": "ocr", "temperature": 0.1, "top_p": 0.9, "max_tokens": 24000}]

Document OCR using dots.ocr-1.5

This dataset contains OCR results from images in davanstrien/ufo-ColPali using DoTS.ocr-1.5, a 3B multilingual model with SOTA document parsing.

Processing Details

Source Dataset: davanstrien/ufo-ColPali
Model: davanstrien/dots.ocr-1.5
Number of Samples: 3
Processing Time: 2.0 min
Processing Date: 2026-03-14 16:38 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.ocr-1.5 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

Dataset Structure

The dataset contains all original columns plus:

markdown: The extracted text in markdown format
inference_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 OCR 1.5 script:

uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/dots-ocr-1.5.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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Size of downloaded dataset files:

331 kB

Size of the auto-converted Parquet files:

331 kB

Number of rows: