Datasets:

davanstrien
/

dots-ocr-1.5-smoke-test

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	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	[{"model_id": "davanstrien/dots.ocr-1.5", "model_name": "DoTS.ocr-1.5", "column_name": "markdown", "timestamp": "2026-03-14T16:10:06.865468", "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	[{"model_id": "davanstrien/dots.ocr-1.5", "model_name": "DoTS.ocr-1.5", "column_name": "markdown", "timestamp": "2026-03-14T16:10:06.865468", "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	[{"model_id": "davanstrien/dots.ocr-1.5", "model_name": "DoTS.ocr-1.5", "column_name": "markdown", "timestamp": "2026-03-14T16:10:06.865468", "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: 1.9 min
Processing Date: 2026-03-14 16:10 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:

316 kB

Size of the auto-converted Parquet files:

316 kB

Number of rows: