commit 56c54a52a8b4c7747b929f556e9fd5c69c522cd1 Author: ModelHub XC Date: Wed Jun 3 01:11:15 2026 +0800 初始化项目,由ModelHub XC社区提供模型 Model: Alibaba-DT/Logics-Parsing Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..8afcacd --- /dev/null +++ b/.gitattributes @@ -0,0 +1,60 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +merges.txt filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text +vocab.json filter=lfs diff=lfs merge=lfs -text + +imgs/paper.gif filter=lfs diff=lfs merge=lfs -text +imgs/chemistry.gif filter=lfs diff=lfs merge=lfs -text +imgs/overview.png filter=lfs diff=lfs merge=lfs -text +imgs/report.gif filter=lfs diff=lfs merge=lfs -text +imgs/BenchCls.png filter=lfs diff=lfs merge=lfs -text +imgs/samples.png filter=lfs diff=lfs merge=lfs -text +imgs/chemistryx.gif filter=lfs diff=lfs merge=lfs -text +imgs/handwritten.gif filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..2fe8878 --- /dev/null +++ b/README.md @@ -0,0 +1,488 @@ +
+ +
+ + +

+ 🤗 GitHub   |   🤖 Demo   |   📑 Technical Report +

+ +## Introduction +
+ LogicsDocBench 概览 +
+ +
+ + + + + + + + + + + + + +
+ 研报示例 + + 化学分子式示例 + + 论文示例 + + 手写示例 +
reportchemistrypaperhandwritten
+
+ + + +Logics-Parsing is a powerful, end-to-end document parsing model built upon a general Vision-Language Model (VLM) through Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL). It excels at accurately analyzing and structuring highly complex documents. + +## Key Features + +* **Effortless End-to-End Processing** + * Our single-model architecture eliminates the need for complex, multi-stage pipelines. Deployment and inference are straightforward, going directly from a document image to structured output. + * It demonstrates exceptional performance on documents with challenging layouts. + +* **Advanced Content Recognition** + * It accurately recognizes and structures difficult content, including intricate scientific formulas. + * Chemical structures are intelligently identified and can be represented in the standard **SMILES** format. + +* **Rich, Structured HTML Output** + * The model generates a clean HTML representation of the document, preserving its logical structure. + * Each content block (e.g., paragraph, table, figure, formula) is tagged with its **category**, **bounding box coordinates**, and **OCR text**. + * It automatically identifies and filters out irrelevant elements like headers and footers, focusing only on the core content. + +* **State-of-the-Art Performance** + * Logics-Parsing achieves the best performance on our in-house benchmark, which is specifically designed to comprehensively evaluate a model’s parsing capability on complex-layout documents and STEM content. + + + + + +## Benchmark + +Existing document-parsing benchmarks often provide limited coverage of complex layouts and STEM content. To address this, we constructed an in-house benchmark comprising 1,078 page-level images across nine major categories and over twenty sub-categories. Our model achieves the best performance on this benchmark. +
+ +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Model TypeMethodsOverall EditText Edit EditFormula EditTable TEDSTable EditReadOrderEditChemistryEditHandWritingEdit
ENZHENZHENZHENZHENZHENZHALLALL
Pipeline Toolsdoc2x0.2090.1880.1280.1940.3770.32181.185.30.1480.1150.1460.1221.00.307
Textin0.1530.1580.1320.1900.1850.22376.786.30.1760.1130.1180.1041.00.344
mathpix*0.1280.1460.1280.1520.060.14286.286.60.1200.1270.2040.1640.5520.263
PP_StructureV30.2200.2260.1720.290.2720.2766671.50.2370.1930.2010.1431.00.382
Mineru20.2120.2450.1340.1950.2800.40767.571.80.2280.2030.2050.1771.00.387
Marker0.3240.4090.1880.2890.2850.38365.550.40.5930.7020.230.2621.00.50
Pix2text0.4470.5470.4850.5770.3120.46564.763.00.5660.6130.4240.5341.00.95
Expert VLMsDolphin0.2080.2560.1490.1890.3340.34672.960.10.1920.350.1600.1390.9840.433
dots.ocr0.1860.1980.1150.1690.2910.35879.582.50.1720.1410.1650.1231.00.255
MonkeyOcr0.1930.2590.1270.2360.2620.32578.474.70.1860.2940.1970.1801.00.623
OCRFlux0.2520.2540.1340.1950.3260.40558.370.20.3580.2600.1910.1561.00.284
Gotocr0.2470.2490.1810.2130.2310.31859.574.70.380.2990.1950.1640.9690.446
Olmocr0.3410.3820.1250.2050.7190.76657.156.60.3270.3890.1910.1691.00.294
SmolDocling0.6570.8950.4860.9320.8590.97218.51.50.860.980.4130.6951.00.927
Logics-Parsing0.1240.1450.0890.1390.1060.16576.679.50.1650.1660.1360.1130.5190.252
General VLMsQwen2VL-72B0.2980.3420.1420.2440.4310.36364.255.50.4250.5810.1930.1820.7920.359
Qwen2.5VL-72B0.2330.2630.1620.240.2510.25769.6670.3130.3530.2050.2040.5970.349
Doubao-1.60.1880.2480.1290.2190.2730.33674.969.70.1800.2880.1710.1480.6010.317
GPT-50.2420.3730.1190.360.3980.45667.955.80.260.3970.1910.280.880.46
Gemini2.5 pro0.1850.200.1150.1550.2880.32682.680.30.1540.1820.1810.1360.5350.26
+ + + + * Tested on the v3/PDF Conversion API (August 2025 deployment). + + + + + +## Quick Start +### 1. Installation +```shell +conda create -n logis-parsing python=3.10 +conda activate logis-parsing + +pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu124 + +``` +### 2. Download Model Weights + +``` +# Download our model from Modelscope. +pip install modelscope +python download_model.py -t modelscope + +# Download our model from huggingface. +pip install huggingface_hub +python download_model.py -t huggingface +``` + +### 3. Inference +```shell +python3 inference.py --image_path PATH_TO_INPUT_IMG --output_path PATH_TO_OUTPUT --model_path PATH_TO_MODEL +``` + +## Acknowledgments + + +We would like to acknowledge the following open-source projects that provided inspiration and reference for this work: +- [Qwen2.5-VL](https://github.com/QwenLM/Qwen2.5-VL) +- [OmniDocBench](https://github.com/opendatalab/OmniDocBench) +- [Mathpix](https://mathpix.com/) + diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..482ced4 --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,24 @@ +{ + "": 151658, + "": 151657, + "<|box_end|>": 151649, + "<|box_start|>": 151648, + "<|endoftext|>": 151643, + "<|file_sep|>": 151664, + "<|fim_middle|>": 151660, + "<|fim_pad|>": 151662, + "<|fim_prefix|>": 151659, + "<|fim_suffix|>": 151661, + "<|im_end|>": 151645, + "<|im_start|>": 151644, + "<|image_pad|>": 151655, + "<|object_ref_end|>": 151647, + "<|object_ref_start|>": 151646, + "<|quad_end|>": 151651, + 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new file mode 100644 index 0000000..51ebb3b --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa +size 11421896 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..3b20d4b --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,210 @@ +{ + "add_bos_token": false, + "add_prefix_space": false, + "added_tokens_decoder": { + "151643": { + "content": "<|endoftext|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151644": { + "content": "<|im_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151645": { + "content": "<|im_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151646": { + "content": "<|object_ref_start|>", + "lstrip": 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"<|quad_start|>", + "<|quad_end|>", + "<|vision_start|>", + "<|vision_end|>", + "<|vision_pad|>", + "<|image_pad|>", + "<|video_pad|>" + ], + "bos_token": null, + "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}", + "clean_up_tokenization_spaces": false, + "eos_token": "<|im_end|>", + "errors": "replace", + "extra_special_tokens": {}, + "model_max_length": 131072, + "pad_token": "<|endoftext|>", + "padding_side": "left", + "processor_class": "Qwen2_5_VLProcessor", + "split_special_tokens": false, + "tokenizer_class": "Qwen2Tokenizer", + "unk_token": null +} diff --git a/vocab.json b/vocab.json new file mode 100644 index 0000000..6c49fc6 --- /dev/null +++ b/vocab.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910 +size 2776833