Datasets:

minhpvo
/

ocr-output_paddleocr15_ocr

filename stringlengths 7 7	paddleocr_1.5_ocr stringlengths 16 1.33k	inference_info stringclasses 1 value
001.jpg	SITE PLAN LEGEND Property Line — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — —	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
002.jpg	OVERALL DIMENSION DECK OVERALL DIMENSION CRAWLSPACE VENT SIZE, NET VENT AREA CRAWLSPACE CRAWLSPACE ACCESS EXISTING CRAWLSPACE EXISTING CRAWLSPACE FLOR OPENING SIZE, NET VENT AREA EXISTING CRAWLSPACE FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT AREA FLOR OPENING SIZE, NET VENT ARE	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
003.jpg	OVERALL DIMENSION OVERALL DIMENSION BODDECK DOWNPOUT BEDROOM1 ATTC ACCES ABOVE CRANKSPACE ACCESS CLOSET QBATHOOM HALL BEDROOM 1 SHOKE DETECTOR ANGE LINEN CLOSET CLOSET COATS SHARK DOWNSHO CONCRETE DOWNPOUT DOWNPOUT ELEVATION BUG ELEVATION BUG SECTION BUG SEAT OVERALL DIMENSION DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPOUT DOWNPO	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
004.jpg	(SCALE: \( \frac{1}{4} \) * 1-0* OR \( \frac{1}{10}\) * 1-0* PREFERRED) LOWER ROOF & UPPER FLOOR FRAMING PLAN OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION OVERALL DIMENSION	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
005.jpg	(SCALE \(V/a \cdot 1-0\) or \(V/a \cdot 1-0\) PREFERRED) (EXISTING — NEW ROOF PITCH) REMOVE EXISTING OVERHANG OVERHANG CRAWSPACE VENTILATION FINISH MATERIAL FINISH MATERIAL DOWNSPORT LOCATION EXISTING GRADE — CRAWSPACE VENTILATION EXISTING OVERHANG TO BE REMOVED DATE — Month Day, Year SHEET TITLE ELEVATIONS SHEET NUMBER A5	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
006.jpg	GLAZING AREA # OF FLOOR GLAZING U-FACTOR VERTICAL OVERHEAD U-FACTOR DOOR CEILING VAULTED CEILING GRADE WALL ABOVE WALL EXTERIOR BELOW GRADE WALL EXTERIOR BELOW GRADE FLOOR FLOOR PITCH FLOOR EAVE VENT TYPE 4 SIZE BEAFIE SIZE, THE RECIPES, & GRADE INSULATION R VALUE THICKNESS VAPOR BARRIER EXTERIOR WALL FINISH HALL CONSTRUCTION TYPE INSULATION R VALUE THICKNESS VAPOR BARRIER INTERIOR WALL FINISH HALL CONSTRUCTION TYPE INSULATION R VALUE THICKNESS VAPOR BARRIER JOIST SIZE & TYPE SHEATHING TYPE TOP PLATE CONSTRUCTION TYPE FLOOR FLOOR CONSTRUCTION TYPE INSULATION R VALUE THICKNESS VAPOR BARRIER REATED PLATE ANCHOR BOLT SIZE & TYPE FOUNDATION DIMENSIONS, REDAK SIZE & LOCATION FOOTING DRAIN TOP PLATE CONSTRUCTION JOIST SIZE & TYPE EAST-WEST SECTION (SCALE: \( \frac{1}{2} \) - \( 1-\phi \) PREFERRED) SHEATHING TYPE SHEET NUMBER A6 SECTIONS SHEET NUMBER A6 FOUNDATION DIMENSIONS, REDAK SIZE & LOCATION FOOTING DRAIN (SCALE: \( \frac{1}{2} \) - \( 1-\phi \) PREFERRED) (MAX SHEET SIZE: 24" x 34")	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
007.jpg	INTERIOR MALL FINISH VAPOR BARRIER CONSTRUCTION TYPE EXTERIOR WALL FINISH MALL FINISH SPECIED GRACE CONCERTE SLAD-ON-GRADE THICKNESS 4 SPRING RAIN VAPOR BARRIER R VALUE + THICKNESS UNDERATTENT MATERIAL + THICKNESS FOOTING REAR SIZE 4 LOCATION FLUID SPRING RAIN MATERIAL FOOTING DRAIN FLUOR FLUID SPRING RAIN MATERIAL FLORO FLUID SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD SPRING RAIN MATERIAL FOOD FOOD	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
008.jpg	SITE PLAN LEGEND Property Line — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — —	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
009.png	100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 100% 10	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
010.png	MAMAH/BRINGAUE ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018 ENG.8L 327.018	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
011.png	WEEP HOLES 100 ∅ AT 1000 C/C BED LEVEL 295.143 OF WING WALL @ MAX. HEIGHT ING CAPACITY OF SOIL SURE ON SOIL UNDER WING WALL 42.00 t/sqm 31.28 t/sqm @ MIN. HEIGHT OF PRO. UP LINE SAF MA 297.143 WEEP HOLES 100 ∅ AT 1000 C/C BED LEVEL 295.143 OF PRO. UP LINE SAF MA 297.143 OF PRO. UP LINE BED LEVEL 295.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.143 OF PRO. UP LINE 297.	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
012.png	2023-2024-2025-2026-2027-2028-2029-2030-2031-2032-2033-2034-2035-2036-2037-2038-2039-2040-2041-2042-2043-2044-2045-2046-2047-2048-2049-2050-2051-2052-2053-2054-2055-2056-2057-2058-2059-2060-2061-2062-2063-2064-2065-2066-2067-2068-2069-2070-2071-2072-2073-2074-2075-2076-2077-2078-2079-2080-2081-2082-2083-2084-2085-2086-2087-2088-2089-2090-2091-2092-2093-2094-2095-2096-2097-2098-2099-2010-2011-2012-2013-2014-2015-2016-2017-2018-2019-2020-2021-2022-2023-2024-2025-2026-2027-2028-2029-2030-2031-2032-2033-2034-20	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]
013.png	FIRST FLOOR PLAN	[{"model_id": "PaddlePaddle/PaddleOCR-VL-1.5", "model_name": "PaddleOCR-VL-1.5", "model_size": "0.9B", "task_mode": "ocr", "column_name": "paddleocr_1.5_ocr", "timestamp": "2026-02-07T16:58:43.756263", "max_tokens": 512, "backend": "transformers"}]

Document Processing using PaddleOCR-VL-1.5 (OCR mode)

This dataset contains OCR results from images in minhpvo/ocr-input using PaddleOCR-VL-1.5, an ultra-compact 0.9B SOTA OCR model.

Processing Details

Source Dataset: minhpvo/ocr-input
Model: PaddlePaddle/PaddleOCR-VL-1.5
Task Mode: ocr - General text extraction to markdown format
Number of Samples: 13
Processing Time: 26.3 min
Processing Date: 2026-02-07 16:58 UTC

Configuration

Image Column: image
Output Column: paddleocr_1.5_ocr
Dataset Split: train
Max Output Tokens: 512
Backend: Transformers (single image processing)

Model Information

PaddleOCR-VL-1.5 is a state-of-the-art, resource-efficient model for document parsing:

🎯 SOTA Performance - 94.5% on OmniDocBench v1.5
🧩 Ultra-compact - Only 0.9B parameters
📝 OCR mode - General text extraction
📊 Table mode - HTML table recognition
📐 Formula mode - LaTeX mathematical notation
📈 Chart mode - Structured chart analysis
🔍 Spotting mode - Text spotting with localization
🔖 Seal mode - Seal and stamp recognition
🌍 Multilingual - Support for multiple languages
⚡ Fast - Efficient batch inference

Task Modes

OCR: Extract text content to markdown format
Table Recognition: Extract tables to HTML format
Formula Recognition: Extract mathematical formulas to LaTeX
Chart Recognition: Analyze and describe charts/diagrams
Spotting: Text spotting with location information
Seal Recognition: Extract text from seals and stamps

Dataset Structure

The dataset contains all original columns plus:

paddleocr_1.5_ocr: The extracted content based on task mode
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 extracted content
for example in dataset:
    print(example["paddleocr_1.5_ocr"])
    break

# View all OCR models applied to this dataset
inference_info = json.loads(dataset[0]["inference_info"])
for info in inference_info:
    print(f"Task: {info['task_mode']} - Model: {info['model_id']}")

Reproduction

This dataset was generated using the uv-scripts/ocr PaddleOCR-VL-1.5 script:

uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/paddleocr-vl-1.5.py \
    minhpvo/ocr-input \
    <output-dataset> \
    --task-mode ocr \
    --image-column image

Performance

Model Size: 0.9B parameters
Benchmark Score: 94.5% SOTA on OmniDocBench v1.5
Processing Speed: ~0.01 images/second
Backend: Transformers (single image processing)

Generated with 🤖 UV Scripts

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Size of downloaded dataset files:

16.3 MB

Size of the auto-converted Parquet files:

16.3 MB

Number of rows: