image imagewidth (px) 1.85k 1.85k | smoldocling_text stringclasses 5
values | inference_info stringclasses 1
value |
|---|---|---|
127>16>344>21>THE PROPOSOGRAPHY OF THE NEO-ASYRIAN EMPIRE
440>21>473>27>Pali-ereš
<text>15>32>238>65>Pali-ereš ("Pali has desired"); Akk.; msc; wr. mdGIDU-KAM-eS", mdGIDU-KAM, mdGIDU- APIN-eS", mdGIDU-APIN, mdGIDU-KAM, note that the name written mdGIDU-U-PAB (Pali-belu-usur) in the copy ADD 488:3 has been embedded to "... | [{"column_name": "smoldocling_text", "model_id": "ds4sd/SmolDocling-256M-preview", "processing_date": "2025-11-10T20:45:59.888407", "batch_size": 16, "max_tokens": 8192, "gpu_memory_utilization": 0.8, "max_model_len": 8192, "output_format": "markdown", "prompt": "Convert page to Docling.", "script": "smoldocling-ocr.py... | |
135>13>349>18>THE PROSOOPOGRAPHY OF THE NEO-ASSYRIAN EMPIRE
442>19>474>25>Paikuku
<text>17>29>230>47>the Assyrian court SAA 7 58 i (not dated or date lost, but cf. Nabāb-bel-šumati 1.).</text>
17>47>230>56>2. Entry in a list of specimen names: "pa-du-u-
<text>17>56>230>64>DINGIR ADD App.3 iii 28. C. Ambos</text>
<text... | [{"column_name": "smoldocling_text", "model_id": "ds4sd/SmolDocling-256M-preview", "processing_date": "2025-11-10T20:45:59.888407", "batch_size": 16, "max_tokens": 8192, "gpu_memory_utilization": 0.8, "max_model_len": 8192, "output_format": "markdown", "prompt": "Convert page to Docling.", "script": "smoldocling-ocr.py... | |
23>23>45>28>Palbuq
146>15>361>20>THE PROPOSOGRAPHY OF THE NEO-ASSYRIAN EMPIRE
<text>23>32>246>52>O lran. * P aju-k-a based on Iran. * p aju- "protector, guardian" as in Av. p aiu- ( = Ved. p aju- , also as a proper name) from the root * p a "to protect."</text>
23>52>246>72>1. City-lord of Kilambate (reign of Sargon... | [{"column_name": "smoldocling_text", "model_id": "ds4sd/SmolDocling-256M-preview", "processing_date": "2025-11-10T20:45:59.888407", "batch_size": 16, "max_tokens": 8192, "gpu_memory_utilization": 0.8, "max_model_len": 8192, "output_format": "markdown", "prompt": "Convert page to Docling.", "script": "smoldocling-ocr.py... | |
14>23>29>27>Padi
145>16>358>20>THE PROPOSOGRAPHY OF THE NEO-ASSYRIE EMPIRE
<text>29>32>245>96>Padi (hypocr. based on the root pdy "to ran› som, redeem"); WSem.; masc.; wr. "pa-di-i, once "pi-di-i, ft. pdy; Tallqvist (1918) 178, 301; Grön› dahl (1967) 171, 404; Benz (1972) 389; Lipišk 175a) 129-31; Fales (1979a) 60; Za... | [{"column_name": "smoldocling_text", "model_id": "ds4sd/SmolDocling-256M-preview", "processing_date": "2025-11-10T20:45:59.888407", "batch_size": 16, "max_tokens": 8192, "gpu_memory_utilization": 0.8, "max_model_len": 8192, "output_format": "markdown", "prompt": "Convert page to Docling.", "script": "smoldocling-ocr.py... | |
<text>19>138>239>151>Pabba'u (mng. unknown); Egypt.?: masc.; wr. pma-aba-ba-a-u.</text>
<text>19>151>239>223>Horse keeper(?) of Istar of Arbail, father of the bride Mullissu-hammat, from Assur (reign of Esaraddon): pada-ba-a-u. [Lu]*D-71D-B-ANeS*KUR. RA[$]$a[$]$id és URAU.arra-il gilsa herdaughter Mulissu-hammat, a vo... | [{"column_name": "smoldocling_text", "model_id": "ds4sd/SmolDocling-256M-preview", "processing_date": "2025-11-10T20:45:59.888407", "batch_size": 16, "max_tokens": 8192, "gpu_memory_utilization": 0.8, "max_model_len": 8192, "output_format": "markdown", "prompt": "Convert page to Docling.", "script": "smoldocling-ocr.py... |
Document Processing using SmolDocling-256M-preview
This dataset contains structured document extraction from images in shaigordin/pna-pages using SmolDocling.
Processing Details
- Source Dataset: shaigordin/pna-pages
- Model: ds4sd/SmolDocling-256M-preview
- Number of Samples: 5
- Processing Time: 1.8 minutes
- Processing Date: 2025-11-10 20:46 UTC
Configuration
- Image Column:
image - Output Column:
smoldocling_text - Output Format: markdown
- Dataset Split:
train - Batch Size: 16
- Max Model Length: 8,192 tokens
- Max Output Tokens: 8,192
- GPU Memory Utilization: 80.0%
Model Information
SmolDocling-256M is an ultra-compact multimodal model that excels at:
- 💻 Code Recognition - Detects and formats code blocks with proper indentation
- 🔢 Formula Recognition - Identifies and processes mathematical expressions
- 📊 Tables & Charts - Extracts structured data from tables and charts
- 📐 Layout Preservation - Maintains document structure with bounding boxes
- 🏷️ DocTags Format - Efficient minimal representation for documents
- ⚡ Fast Inference - Only 256M parameters for quick processing
Dataset Structure
The dataset contains all original columns plus:
smoldocling_text: The extracted markdown from each imageinference_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['smoldocling_text'])
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 SmolDocling script:
uv run https://huggingface.co/datasets/uv-scripts/ocr/raw/main/smoldocling-ocr.py \
shaigordin/pna-pages \
<output-dataset> \
--image-column image \
--output-format markdown \
--batch-size 16 \
--max-model-len 8192 \
--max-tokens 8192 \
--gpu-memory-utilization 0.8
Performance
- Processing Speed: ~0.0 images/second
- Model Size: 256M parameters (ultra-compact)
- GPU Configuration: vLLM with 80% GPU memory utilization
Generated with 🤖 UV Scripts
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